Toniolo and Linder, Equation (10-)

Percentage Accurate: 35.7% → 93.6%

Time: 8.8s

Alternatives: 22

Speedup: 9.6×

• 38.7% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\begin{array}{l} \\ \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \end{array} \]

FPCore

(FPCore (t l k)
 :precision binary64
 (/
  2.0
  (*
   (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k))
   (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))

C

double code(double t, double l, double k) {
	return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function

Java

public static double code(double t, double l, double k) {
	return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}

Python

def code(t, l, k):
	return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))

Julia

function code(t, l, k)
	return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0)))
end

MATLAB

function tmp = code(t, l, k)
	tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0));
end

Wolfram

code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Initial Program: 35.7% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \end{array} \]

FPCore

(FPCore (t l k)
 :precision binary64
 (/
  2.0
  (*
   (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k))
   (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))

C

double code(double t, double l, double k) {
	return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k
    code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function

Java

public static double code(double t, double l, double k) {
	return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}

Python

def code(t, l, k):
	return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))

Julia

function code(t, l, k)
	return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0)))
end

MATLAB

function tmp = code(t, l, k)
	tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0));
end

Wolfram

code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Alternative 1: 93.6% accurate, 1.0× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := {\sin k}^{2}\\ t_2 := \cos k \cdot l\_m\\ \mathbf{if}\;l\_m \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{t\_2} \cdot \frac{t\_1}{l\_m}}\\ \mathbf{elif}\;l\_m \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{t\_2 \cdot l\_m}{t\_1}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\left(\cos k \cdot {\left(\frac{l\_m}{k}\right)}^{2}\right) \cdot \frac{4}{\left(t\_1 \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (pow (sin k) 2.0)) (t_2 (* (cos k) l_m)))
   (if (<= l_m 1e-139)
     (/ 2.0 (* (/ (* (* k k) t) t_2) (/ t_1 l_m)))
     (if (<= l_m 9.5e+78)
       (/ (* 2.0 (/ (* t_2 l_m) t_1)) (* (* k t) k))
       (* (* (cos k) (pow (/ l_m k) 2.0)) (/ 4.0 (* (* t_1 t) 2.0)))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = pow(sin(k), 2.0);
	double t_2 = cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (cos(k) * pow((l_m / k), 2.0)) * (4.0 / ((t_1 * t) * 2.0));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = sin(k) ** 2.0d0
    t_2 = cos(k) * l_m
    if (l_m <= 1d-139) then
        tmp = 2.0d0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
    else if (l_m <= 9.5d+78) then
        tmp = (2.0d0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
    else
        tmp = (cos(k) * ((l_m / k) ** 2.0d0)) * (4.0d0 / ((t_1 * t) * 2.0d0))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.pow(Math.sin(k), 2.0);
	double t_2 = Math.cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (Math.cos(k) * Math.pow((l_m / k), 2.0)) * (4.0 / ((t_1 * t) * 2.0));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.pow(math.sin(k), 2.0)
	t_2 = math.cos(k) * l_m
	tmp = 0
	if l_m <= 1e-139:
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
	elif l_m <= 9.5e+78:
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
	else:
		tmp = (math.cos(k) * math.pow((l_m / k), 2.0)) * (4.0 / ((t_1 * t) * 2.0))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = sin(k) ^ 2.0
	t_2 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (l_m <= 1e-139)
		tmp = Float64(2.0 / Float64(Float64(Float64(Float64(k * k) * t) / t_2) * Float64(t_1 / l_m)));
	elseif (l_m <= 9.5e+78)
		tmp = Float64(Float64(2.0 * Float64(Float64(t_2 * l_m) / t_1)) / Float64(Float64(k * t) * k));
	else
		tmp = Float64(Float64(cos(k) * (Float64(l_m / k) ^ 2.0)) * Float64(4.0 / Float64(Float64(t_1 * t) * 2.0)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = sin(k) ^ 2.0;
	t_2 = cos(k) * l_m;
	tmp = 0.0;
	if (l_m <= 1e-139)
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	elseif (l_m <= 9.5e+78)
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	else
		tmp = (cos(k) * ((l_m / k) ^ 2.0)) * (4.0 / ((t_1 * t) * 2.0));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[l$95$m, 1e-139], N[(2.0 / N[(N[(N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision] / t$95$2), $MachinePrecision] * N[(t$95$1 / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[l$95$m, 9.5e+78], N[(N[(2.0 * N[(N[(t$95$2 * l$95$m), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k], $MachinePrecision] * N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(4.0 / N[(N[(t$95$1 * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]

Derivation

1. Split input into 3 regimes

2. if l < 1.00000000000000003e-139

   1. Initial program 36.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around inf

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]
   4. Step-by-step derivation

   5. Applied rewrites 22.9%

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}}} \]
   7. Step-by-step derivation

      1. unpow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      3. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\color{blue}{{\ell}^{2}} \cdot \cos k}} \]

      4. *-commutative N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \color{blue}{{\ell}^{2}}}} \]

      5. pow2 N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \left(\ell \cdot \color{blue}{\ell}\right)}} \]

      6. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\left(\cos k \cdot \ell\right) \cdot \color{blue}{\ell}}} \]

      7. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

   8. Applied rewrites 89.7%

      \[\leadsto \frac{2}{\color{blue}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}} \]

   if 1.00000000000000003e-139 < l < 9.5000000000000006e78

   1. Initial program 32.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 90.2

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 90.2%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 88.4%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 97.9%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   if 9.5000000000000006e78 < l

   1. Initial program 45.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 70.4

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 70.4%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 95.0%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

      3. lift-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      4. associate-/l* N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      6. lift-cos.f64 N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

      7. lift-/.f64 94.9

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

   9. Applied rewrites 94.9%

      \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right)} \cdot 2} \]

       3. lift-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\color{blue}{{\sin k}^{2}} \cdot t\right) \cdot 2} \]

       4. lift-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

       5. lift-cos.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

       6. lift-/.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       7. lift-/.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{\color{blue}{2}} \cdot t\right) \cdot 2} \]

       8. lift-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot \color{blue}{2}} \]

       9. lift-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       10. lift-pow.f64 N/A

           \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       11. lift-sin.f64 N/A

           \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       12. associate-/l* N/A

           \[\leadsto \left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot \color{blue}{\frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

       13. associate-*r/ N/A

           \[\leadsto \left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot \frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       14. lower-*.f64 N/A

           \[\leadsto \left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot \color{blue}{\frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   11. Applied rewrites 95.1%

       \[\leadsto \left(\cos k \cdot {\left(\frac{\ell}{k}\right)}^{2}\right) \cdot \color{blue}{\frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
3. Recombined 3 regimes into one program.

4. Final simplification 92.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}\\ \mathbf{elif}\;\ell \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\left(\cos k \cdot {\left(\frac{\ell}{k}\right)}^{2}\right) \cdot \frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}\\ \end{array} \]
5. Add Preprocessing

Alternative 2: 93.6% accurate, 1.2× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := {\sin k}^{2}\\ t_2 := \cos k \cdot l\_m\\ \mathbf{if}\;l\_m \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{t\_2} \cdot \frac{t\_1}{l\_m}}\\ \mathbf{elif}\;l\_m \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{t\_2 \cdot l\_m}{t\_1}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{t\_2}{k} \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(t\_1 \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (pow (sin k) 2.0)) (t_2 (* (cos k) l_m)))
   (if (<= l_m 1e-139)
     (/ 2.0 (* (/ (* (* k k) t) t_2) (/ t_1 l_m)))
     (if (<= l_m 9.5e+78)
       (/ (* 2.0 (/ (* t_2 l_m) t_1)) (* (* k t) k))
       (/ (* (* (/ t_2 k) (/ l_m k)) 4.0) (* (* t_1 t) 2.0))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = pow(sin(k), 2.0);
	double t_2 = cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / ((t_1 * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = sin(k) ** 2.0d0
    t_2 = cos(k) * l_m
    if (l_m <= 1d-139) then
        tmp = 2.0d0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
    else if (l_m <= 9.5d+78) then
        tmp = (2.0d0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
    else
        tmp = (((t_2 / k) * (l_m / k)) * 4.0d0) / ((t_1 * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.pow(Math.sin(k), 2.0);
	double t_2 = Math.cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / ((t_1 * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.pow(math.sin(k), 2.0)
	t_2 = math.cos(k) * l_m
	tmp = 0
	if l_m <= 1e-139:
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
	elif l_m <= 9.5e+78:
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
	else:
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / ((t_1 * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = sin(k) ^ 2.0
	t_2 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (l_m <= 1e-139)
		tmp = Float64(2.0 / Float64(Float64(Float64(Float64(k * k) * t) / t_2) * Float64(t_1 / l_m)));
	elseif (l_m <= 9.5e+78)
		tmp = Float64(Float64(2.0 * Float64(Float64(t_2 * l_m) / t_1)) / Float64(Float64(k * t) * k));
	else
		tmp = Float64(Float64(Float64(Float64(t_2 / k) * Float64(l_m / k)) * 4.0) / Float64(Float64(t_1 * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = sin(k) ^ 2.0;
	t_2 = cos(k) * l_m;
	tmp = 0.0;
	if (l_m <= 1e-139)
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	elseif (l_m <= 9.5e+78)
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	else
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / ((t_1 * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[l$95$m, 1e-139], N[(2.0 / N[(N[(N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision] / t$95$2), $MachinePrecision] * N[(t$95$1 / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[l$95$m, 9.5e+78], N[(N[(2.0 * N[(N[(t$95$2 * l$95$m), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$2 / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(t$95$1 * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]]]

Derivation

1. Split input into 3 regimes

2. if l < 1.00000000000000003e-139

   1. Initial program 36.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around inf

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]
   4. Step-by-step derivation

   5. Applied rewrites 22.9%

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}}} \]
   7. Step-by-step derivation

      1. unpow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      3. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\color{blue}{{\ell}^{2}} \cdot \cos k}} \]

      4. *-commutative N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \color{blue}{{\ell}^{2}}}} \]

      5. pow2 N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \left(\ell \cdot \color{blue}{\ell}\right)}} \]

      6. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\left(\cos k \cdot \ell\right) \cdot \color{blue}{\ell}}} \]

      7. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

   8. Applied rewrites 89.7%

      \[\leadsto \frac{2}{\color{blue}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}} \]

   if 1.00000000000000003e-139 < l < 9.5000000000000006e78

   1. Initial program 32.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 90.2

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 90.2%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 88.4%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 97.9%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   if 9.5000000000000006e78 < l

   1. Initial program 45.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 70.4

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 70.4%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 95.0%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
3. Recombined 3 regimes into one program.

4. Final simplification 92.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}\\ \mathbf{elif}\;\ell \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 94.6% accurate, 1.2× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := {\sin k}^{2}\\ t_2 := \cos k \cdot l\_m\\ \mathbf{if}\;l\_m \cdot l\_m \leq 5 \cdot 10^{-159}:\\ \;\;\;\;\left(\frac{t\_2}{\left(k \cdot k\right) \cdot t} \cdot \frac{l\_m}{t\_1}\right) \cdot 2\\ \mathbf{elif}\;l\_m \cdot l\_m \leq 5 \cdot 10^{+214}:\\ \;\;\;\;\frac{\frac{2}{k} \cdot \left(t\_2 \cdot l\_m\right)}{\left(k \cdot t\right) \cdot t\_1}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{t\_2}{k} \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (pow (sin k) 2.0)) (t_2 (* (cos k) l_m)))
   (if (<= (* l_m l_m) 5e-159)
     (* (* (/ t_2 (* (* k k) t)) (/ l_m t_1)) 2.0)
     (if (<= (* l_m l_m) 5e+214)
       (/ (* (/ 2.0 k) (* t_2 l_m)) (* (* k t) t_1))
       (/
        (* (* (/ t_2 k) (/ l_m k)) 4.0)
        (* (* (- 0.5 (* 0.5 (cos (* 2.0 k)))) t) 2.0))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = pow(sin(k), 2.0);
	double t_2 = cos(k) * l_m;
	double tmp;
	if ((l_m * l_m) <= 5e-159) {
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	} else if ((l_m * l_m) <= 5e+214) {
		tmp = ((2.0 / k) * (t_2 * l_m)) / ((k * t) * t_1);
	} else {
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = sin(k) ** 2.0d0
    t_2 = cos(k) * l_m
    if ((l_m * l_m) <= 5d-159) then
        tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0d0
    else if ((l_m * l_m) <= 5d+214) then
        tmp = ((2.0d0 / k) * (t_2 * l_m)) / ((k * t) * t_1)
    else
        tmp = (((t_2 / k) * (l_m / k)) * 4.0d0) / (((0.5d0 - (0.5d0 * cos((2.0d0 * k)))) * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.pow(Math.sin(k), 2.0);
	double t_2 = Math.cos(k) * l_m;
	double tmp;
	if ((l_m * l_m) <= 5e-159) {
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	} else if ((l_m * l_m) <= 5e+214) {
		tmp = ((2.0 / k) * (t_2 * l_m)) / ((k * t) * t_1);
	} else {
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * Math.cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.pow(math.sin(k), 2.0)
	t_2 = math.cos(k) * l_m
	tmp = 0
	if (l_m * l_m) <= 5e-159:
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0
	elif (l_m * l_m) <= 5e+214:
		tmp = ((2.0 / k) * (t_2 * l_m)) / ((k * t) * t_1)
	else:
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * math.cos((2.0 * k)))) * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = sin(k) ^ 2.0
	t_2 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (Float64(l_m * l_m) <= 5e-159)
		tmp = Float64(Float64(Float64(t_2 / Float64(Float64(k * k) * t)) * Float64(l_m / t_1)) * 2.0);
	elseif (Float64(l_m * l_m) <= 5e+214)
		tmp = Float64(Float64(Float64(2.0 / k) * Float64(t_2 * l_m)) / Float64(Float64(k * t) * t_1));
	else
		tmp = Float64(Float64(Float64(Float64(t_2 / k) * Float64(l_m / k)) * 4.0) / Float64(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k)))) * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = sin(k) ^ 2.0;
	t_2 = cos(k) * l_m;
	tmp = 0.0;
	if ((l_m * l_m) <= 5e-159)
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	elseif ((l_m * l_m) <= 5e+214)
		tmp = ((2.0 / k) * (t_2 * l_m)) / ((k * t) * t_1);
	else
		tmp = (((t_2 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[N[(l$95$m * l$95$m), $MachinePrecision], 5e-159], N[(N[(N[(t$95$2 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t$95$1), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], If[LessEqual[N[(l$95$m * l$95$m), $MachinePrecision], 5e+214], N[(N[(N[(2.0 / k), $MachinePrecision] * N[(t$95$2 * l$95$m), $MachinePrecision]), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t$95$2 / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]]]

Derivation

1. Split input into 3 regimes

2. if (*.f64 l l) < 5.00000000000000032e-159

   1. Initial program 36.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 71.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 71.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \color{blue}{\frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\color{blue}{\cos k \cdot \left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\color{blue}{{\sin k}^{2}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      7. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\color{blue}{\sin k}}^{2}} \]

      8. lift-cos.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin \color{blue}{k}}^{2}} \]

      9. lift-pow.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      11. frac-times N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot \left(\ell \cdot \ell\right)\right)}{\color{blue}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}}} \]

      12. pow2 N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot {\ell}^{2}\right)}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}} \]

      13. *-commutative N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(\left(k \cdot k\right) \cdot \color{blue}{t}\right) \cdot {\sin k}^{2}} \]

      14. pow2 N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot {\sin \color{blue}{k}}^{2}} \]

      15. associate-*r* N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{k}^{2} \cdot \color{blue}{\left(t \cdot {\sin k}^{2}\right)}} \]

   7. Applied rewrites 94.4%

      \[\leadsto \left(\frac{\cos k \cdot \ell}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell}{{\sin k}^{2}}\right) \cdot \color{blue}{2} \]

   if 5.00000000000000032e-159 < (*.f64 l l) < 4.99999999999999953e214

   1. Initial program 35.8%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 89.7

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 89.7%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 93.0%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 99.5%

      \[\leadsto \frac{\frac{2}{k} \cdot \left(\left(\cos k \cdot \ell\right) \cdot \ell\right)}{\color{blue}{\left(k \cdot t\right) \cdot {\sin k}^{2}}} \]

   if 4.99999999999999953e214 < (*.f64 l l)

   1. Initial program 39.9%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 69.5

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 69.5%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 92.4%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      2. lift-sin.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      3. unpow2 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\sin k \cdot \sin k\right) \cdot t\right) \cdot 2} \]

      4. sqr-sin-a N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      5. lower--.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      7. lower-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      8. lower-*.f64 92.4

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

   9. Applied rewrites 92.4%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 4: 93.6% accurate, 1.3× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := {\sin k}^{2}\\ t_2 := \cos k \cdot l\_m\\ \mathbf{if}\;l\_m \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{t\_2} \cdot \frac{t\_1}{l\_m}}\\ \mathbf{elif}\;l\_m \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{t\_2 \cdot l\_m}{t\_1}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{t\_1 \cdot t} \cdot \left(\frac{t\_2}{k} \cdot \frac{l\_m}{k}\right)\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (pow (sin k) 2.0)) (t_2 (* (cos k) l_m)))
   (if (<= l_m 1e-139)
     (/ 2.0 (* (/ (* (* k k) t) t_2) (/ t_1 l_m)))
     (if (<= l_m 9.5e+78)
       (/ (* 2.0 (/ (* t_2 l_m) t_1)) (* (* k t) k))
       (* (/ 2.0 (* t_1 t)) (* (/ t_2 k) (/ l_m k)))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = pow(sin(k), 2.0);
	double t_2 = cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (2.0 / (t_1 * t)) * ((t_2 / k) * (l_m / k));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = sin(k) ** 2.0d0
    t_2 = cos(k) * l_m
    if (l_m <= 1d-139) then
        tmp = 2.0d0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
    else if (l_m <= 9.5d+78) then
        tmp = (2.0d0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
    else
        tmp = (2.0d0 / (t_1 * t)) * ((t_2 / k) * (l_m / k))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.pow(Math.sin(k), 2.0);
	double t_2 = Math.cos(k) * l_m;
	double tmp;
	if (l_m <= 1e-139) {
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	} else if (l_m <= 9.5e+78) {
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	} else {
		tmp = (2.0 / (t_1 * t)) * ((t_2 / k) * (l_m / k));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.pow(math.sin(k), 2.0)
	t_2 = math.cos(k) * l_m
	tmp = 0
	if l_m <= 1e-139:
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m))
	elif l_m <= 9.5e+78:
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k)
	else:
		tmp = (2.0 / (t_1 * t)) * ((t_2 / k) * (l_m / k))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = sin(k) ^ 2.0
	t_2 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (l_m <= 1e-139)
		tmp = Float64(2.0 / Float64(Float64(Float64(Float64(k * k) * t) / t_2) * Float64(t_1 / l_m)));
	elseif (l_m <= 9.5e+78)
		tmp = Float64(Float64(2.0 * Float64(Float64(t_2 * l_m) / t_1)) / Float64(Float64(k * t) * k));
	else
		tmp = Float64(Float64(2.0 / Float64(t_1 * t)) * Float64(Float64(t_2 / k) * Float64(l_m / k)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = sin(k) ^ 2.0;
	t_2 = cos(k) * l_m;
	tmp = 0.0;
	if (l_m <= 1e-139)
		tmp = 2.0 / ((((k * k) * t) / t_2) * (t_1 / l_m));
	elseif (l_m <= 9.5e+78)
		tmp = (2.0 * ((t_2 * l_m) / t_1)) / ((k * t) * k);
	else
		tmp = (2.0 / (t_1 * t)) * ((t_2 / k) * (l_m / k));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[l$95$m, 1e-139], N[(2.0 / N[(N[(N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision] / t$95$2), $MachinePrecision] * N[(t$95$1 / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[l$95$m, 9.5e+78], N[(N[(2.0 * N[(N[(t$95$2 * l$95$m), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(t$95$1 * t), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$2 / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]

Derivation

1. Split input into 3 regimes

2. if l < 1.00000000000000003e-139

   1. Initial program 36.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around inf

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]
   4. Step-by-step derivation

   5. Applied rewrites 22.9%

      \[\leadsto \frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\color{blue}{1} - 1\right)} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}}} \]
   7. Step-by-step derivation

      1. unpow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}{{\ell}^{2} \cdot \cos k}} \]

      3. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\color{blue}{{\ell}^{2}} \cdot \cos k}} \]

      4. *-commutative N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \color{blue}{{\ell}^{2}}}} \]

      5. pow2 N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\cos k \cdot \left(\ell \cdot \color{blue}{\ell}\right)}} \]

      6. associate-*r* N/A

         \[\leadsto \frac{2}{\frac{\left({k}^{2} \cdot t\right) \cdot {\sin k}^{2}}{\left(\cos k \cdot \ell\right) \cdot \color{blue}{\ell}}} \]

      7. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{2} \cdot t}{\cos k \cdot \ell} \cdot \color{blue}{\frac{{\sin k}^{2}}{\ell}}} \]

   8. Applied rewrites 89.7%

      \[\leadsto \frac{2}{\color{blue}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}} \]

   if 1.00000000000000003e-139 < l < 9.5000000000000006e78

   1. Initial program 32.6%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 90.2

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 90.2%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 88.4%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 97.9%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   if 9.5000000000000006e78 < l

   1. Initial program 45.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 70.4

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 70.4%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \color{blue}{\frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\color{blue}{\cos k \cdot \left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\color{blue}{{\sin k}^{2}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      7. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\color{blue}{\sin k}}^{2}} \]

      8. lift-cos.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin \color{blue}{k}}^{2}} \]

      9. lift-pow.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      11. frac-times N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot \left(\ell \cdot \ell\right)\right)}{\color{blue}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}}} \]

      12. pow2 N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot {\ell}^{2}\right)}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}} \]

      13. *-commutative N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(\left(k \cdot k\right) \cdot \color{blue}{t}\right) \cdot {\sin k}^{2}} \]

      14. pow2 N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot {\sin \color{blue}{k}}^{2}} \]

      15. associate-*r* N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{k}^{2} \cdot \color{blue}{\left(t \cdot {\sin k}^{2}\right)}} \]

      16. *-commutative N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(t \cdot {\sin k}^{2}\right) \cdot \color{blue}{{k}^{2}}} \]

   7. Applied rewrites 94.9%

      \[\leadsto \frac{2}{{\sin k}^{2} \cdot t} \cdot \color{blue}{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right)} \]
3. Recombined 3 regimes into one program.

4. Final simplification 92.1%

   \[\leadsto \begin{array}{l} \mathbf{if}\;\ell \leq 10^{-139}:\\ \;\;\;\;\frac{2}{\frac{\left(k \cdot k\right) \cdot t}{\cos k \cdot \ell} \cdot \frac{{\sin k}^{2}}{\ell}}\\ \mathbf{elif}\;\ell \leq 9.5 \cdot 10^{+78}:\\ \;\;\;\;\frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{{\sin k}^{2} \cdot t} \cdot \left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 87.9% accurate, 1.3× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := {\sin k}^{2}\\ t_2 := \cos k \cdot l\_m\\ \mathbf{if}\;k \leq 3 \cdot 10^{+105}:\\ \;\;\;\;\left(\frac{t\_2}{\left(k \cdot k\right) \cdot t} \cdot \frac{l\_m}{t\_1}\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{t\_2}{k} \cdot l\_m\right) \cdot 4}{k \cdot \left(\left(t\_1 \cdot t\right) \cdot 2\right)}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (pow (sin k) 2.0)) (t_2 (* (cos k) l_m)))
   (if (<= k 3e+105)
     (* (* (/ t_2 (* (* k k) t)) (/ l_m t_1)) 2.0)
     (/ (* (* (/ t_2 k) l_m) 4.0) (* k (* (* t_1 t) 2.0))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = pow(sin(k), 2.0);
	double t_2 = cos(k) * l_m;
	double tmp;
	if (k <= 3e+105) {
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	} else {
		tmp = (((t_2 / k) * l_m) * 4.0) / (k * ((t_1 * t) * 2.0));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: t_2
    real(8) :: tmp
    t_1 = sin(k) ** 2.0d0
    t_2 = cos(k) * l_m
    if (k <= 3d+105) then
        tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0d0
    else
        tmp = (((t_2 / k) * l_m) * 4.0d0) / (k * ((t_1 * t) * 2.0d0))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.pow(Math.sin(k), 2.0);
	double t_2 = Math.cos(k) * l_m;
	double tmp;
	if (k <= 3e+105) {
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	} else {
		tmp = (((t_2 / k) * l_m) * 4.0) / (k * ((t_1 * t) * 2.0));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.pow(math.sin(k), 2.0)
	t_2 = math.cos(k) * l_m
	tmp = 0
	if k <= 3e+105:
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0
	else:
		tmp = (((t_2 / k) * l_m) * 4.0) / (k * ((t_1 * t) * 2.0))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = sin(k) ^ 2.0
	t_2 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (k <= 3e+105)
		tmp = Float64(Float64(Float64(t_2 / Float64(Float64(k * k) * t)) * Float64(l_m / t_1)) * 2.0);
	else
		tmp = Float64(Float64(Float64(Float64(t_2 / k) * l_m) * 4.0) / Float64(k * Float64(Float64(t_1 * t) * 2.0)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = sin(k) ^ 2.0;
	t_2 = cos(k) * l_m;
	tmp = 0.0;
	if (k <= 3e+105)
		tmp = ((t_2 / ((k * k) * t)) * (l_m / t_1)) * 2.0;
	else
		tmp = (((t_2 / k) * l_m) * 4.0) / (k * ((t_1 * t) * 2.0));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[k, 3e+105], N[(N[(N[(t$95$2 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t$95$1), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], N[(N[(N[(N[(t$95$2 / k), $MachinePrecision] * l$95$m), $MachinePrecision] * 4.0), $MachinePrecision] / N[(k * N[(N[(t$95$1 * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]

Derivation

1. Split input into 2 regimes

2. if k < 3.0000000000000001e105

   1. Initial program 38.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.9

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.9%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \color{blue}{\frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\color{blue}{\cos k \cdot \left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\color{blue}{{\sin k}^{2}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      7. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\color{blue}{\sin k}}^{2}} \]

      8. lift-cos.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin \color{blue}{k}}^{2}} \]

      9. lift-pow.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      11. frac-times N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot \left(\ell \cdot \ell\right)\right)}{\color{blue}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}}} \]

      12. pow2 N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot {\ell}^{2}\right)}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}} \]

      13. *-commutative N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(\left(k \cdot k\right) \cdot \color{blue}{t}\right) \cdot {\sin k}^{2}} \]

      14. pow2 N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot {\sin \color{blue}{k}}^{2}} \]

      15. associate-*r* N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{k}^{2} \cdot \color{blue}{\left(t \cdot {\sin k}^{2}\right)}} \]

   7. Applied rewrites 90.5%

      \[\leadsto \left(\frac{\cos k \cdot \ell}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell}{{\sin k}^{2}}\right) \cdot \color{blue}{2} \]

   if 3.0000000000000001e105 < k

   1. Initial program 29.8%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 65.4

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 65.4%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 94.6%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right)} \cdot 2} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\color{blue}{{\sin k}^{2}} \cdot t\right) \cdot 2} \]

      4. lift-/.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

      6. lift-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      7. lift-/.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{\color{blue}{2}} \cdot t\right) \cdot 2} \]

      8. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot \color{blue}{2}} \]

      9. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      10. lift-pow.f64 N/A

          \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      11. lift-sin.f64 N/A

          \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      12. associate-/l* N/A

          \[\leadsto \left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot \color{blue}{\frac{4}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

      13. associate-*r/ N/A

          \[\leadsto \frac{\frac{\cos k \cdot \ell}{k} \cdot \ell}{k} \cdot \frac{\color{blue}{4}}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      14. frac-times N/A

          \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \ell\right) \cdot 4}{\color{blue}{k \cdot \left(\left({\sin k}^{2} \cdot t\right) \cdot 2\right)}} \]

   9. Applied rewrites 94.6%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \ell\right) \cdot 4}{\color{blue}{k \cdot \left(\left({\sin k}^{2} \cdot t\right) \cdot 2\right)}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 6: 88.5% accurate, 1.3× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := \cos k \cdot l\_m\\ \mathbf{if}\;k \leq 1.5 \cdot 10^{+88}:\\ \;\;\;\;\left(\frac{t\_1}{\left(k \cdot k\right) \cdot t} \cdot \frac{l\_m}{{\sin k}^{2}}\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{t\_1}{k} \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (* (cos k) l_m)))
   (if (<= k 1.5e+88)
     (* (* (/ t_1 (* (* k k) t)) (/ l_m (pow (sin k) 2.0))) 2.0)
     (/
      (* (* (/ t_1 k) (/ l_m k)) 4.0)
      (* (* (- 0.5 (* 0.5 (cos (* 2.0 k)))) t) 2.0)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = cos(k) * l_m;
	double tmp;
	if (k <= 1.5e+88) {
		tmp = ((t_1 / ((k * k) * t)) * (l_m / pow(sin(k), 2.0))) * 2.0;
	} else {
		tmp = (((t_1 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: tmp
    t_1 = cos(k) * l_m
    if (k <= 1.5d+88) then
        tmp = ((t_1 / ((k * k) * t)) * (l_m / (sin(k) ** 2.0d0))) * 2.0d0
    else
        tmp = (((t_1 / k) * (l_m / k)) * 4.0d0) / (((0.5d0 - (0.5d0 * cos((2.0d0 * k)))) * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = Math.cos(k) * l_m;
	double tmp;
	if (k <= 1.5e+88) {
		tmp = ((t_1 / ((k * k) * t)) * (l_m / Math.pow(Math.sin(k), 2.0))) * 2.0;
	} else {
		tmp = (((t_1 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * Math.cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = math.cos(k) * l_m
	tmp = 0
	if k <= 1.5e+88:
		tmp = ((t_1 / ((k * k) * t)) * (l_m / math.pow(math.sin(k), 2.0))) * 2.0
	else:
		tmp = (((t_1 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * math.cos((2.0 * k)))) * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = Float64(cos(k) * l_m)
	tmp = 0.0
	if (k <= 1.5e+88)
		tmp = Float64(Float64(Float64(t_1 / Float64(Float64(k * k) * t)) * Float64(l_m / (sin(k) ^ 2.0))) * 2.0);
	else
		tmp = Float64(Float64(Float64(Float64(t_1 / k) * Float64(l_m / k)) * 4.0) / Float64(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k)))) * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = cos(k) * l_m;
	tmp = 0.0;
	if (k <= 1.5e+88)
		tmp = ((t_1 / ((k * k) * t)) * (l_m / (sin(k) ^ 2.0))) * 2.0;
	else
		tmp = (((t_1 / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision]}, If[LessEqual[k, 1.5e+88], N[(N[(N[(t$95$1 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], N[(N[(N[(N[(t$95$1 / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if k < 1.50000000000000003e88

   1. Initial program 39.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.9

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.9%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \color{blue}{\frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\color{blue}{\cos k \cdot \left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\color{blue}{{\sin k}^{2}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      7. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\color{blue}{\sin k}}^{2}} \]

      8. lift-cos.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin \color{blue}{k}}^{2}} \]

      9. lift-pow.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      11. frac-times N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot \left(\ell \cdot \ell\right)\right)}{\color{blue}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}}} \]

      12. pow2 N/A

          \[\leadsto \frac{2 \cdot \left(\cos k \cdot {\ell}^{2}\right)}{\left(\left(k \cdot k\right) \cdot t\right) \cdot {\sin k}^{2}} \]

      13. *-commutative N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(\left(k \cdot k\right) \cdot \color{blue}{t}\right) \cdot {\sin k}^{2}} \]

      14. pow2 N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot {\sin \color{blue}{k}}^{2}} \]

      15. associate-*r* N/A

          \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{k}^{2} \cdot \color{blue}{\left(t \cdot {\sin k}^{2}\right)}} \]

   7. Applied rewrites 90.7%

      \[\leadsto \left(\frac{\cos k \cdot \ell}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell}{{\sin k}^{2}}\right) \cdot \color{blue}{2} \]

   if 1.50000000000000003e88 < k

   1. Initial program 26.2%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 67.1

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 67.1%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 92.9%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      2. lift-sin.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      3. unpow2 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\sin k \cdot \sin k\right) \cdot t\right) \cdot 2} \]

      4. sqr-sin-a N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      5. lower--.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      7. lower-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      8. lower-*.f64 92.7

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

   9. Applied rewrites 92.7%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 7: 83.1% accurate, 1.6× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{{\left(\frac{l\_m}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k}\\ \mathbf{elif}\;k \leq 0.00095:\\ \;\;\;\;\frac{2}{\frac{{k}^{4}}{l\_m} \cdot \frac{t}{l\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\frac{\cos k \cdot l\_m}{k} \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 2.7e-77)
   (/ (* (pow (/ l_m k) 2.0) 2.0) (* (* k t) k))
   (if (<= k 0.00095)
     (/ 2.0 (* (/ (pow k 4.0) l_m) (/ t l_m)))
     (/
      (* (* (/ (* (cos k) l_m) k) (/ l_m k)) 4.0)
      (* (* (- 0.5 (* 0.5 (cos (* 2.0 k)))) t) 2.0)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 2.7d-77) then
        tmp = (((l_m / k) ** 2.0d0) * 2.0d0) / ((k * t) * k)
    else if (k <= 0.00095d0) then
        tmp = 2.0d0 / (((k ** 4.0d0) / l_m) * (t / l_m))
    else
        tmp = ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0d0) / (((0.5d0 - (0.5d0 * cos((2.0d0 * k)))) * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (Math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((Math.pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = ((((Math.cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * Math.cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 2.7e-77:
		tmp = (math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k)
	elif k <= 0.00095:
		tmp = 2.0 / ((math.pow(k, 4.0) / l_m) * (t / l_m))
	else:
		tmp = ((((math.cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * math.cos((2.0 * k)))) * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64((Float64(l_m / k) ^ 2.0) * 2.0) / Float64(Float64(k * t) * k));
	elseif (k <= 0.00095)
		tmp = Float64(2.0 / Float64(Float64((k ^ 4.0) / l_m) * Float64(t / l_m)));
	else
		tmp = Float64(Float64(Float64(Float64(Float64(cos(k) * l_m) / k) * Float64(l_m / k)) * 4.0) / Float64(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k)))) * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (((l_m / k) ^ 2.0) * 2.0) / ((k * t) * k);
	elseif (k <= 0.00095)
		tmp = 2.0 / (((k ^ 4.0) / l_m) * (t / l_m));
	else
		tmp = ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 2.7e-77], N[(N[(N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.00095], N[(2.0 / N[(N[(N[Power[k, 4.0], $MachinePrecision] / l$95$m), $MachinePrecision] * N[(t / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision] / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 91.5%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 80.6%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   10. Taylor expanded in k around 0

       \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{{k}^{2}}}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]
   11. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       3. pow2 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       4. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       5. times-frac N/A

          \[\leadsto \frac{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       6. pow2 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       7. lower-pow.f64 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       8. lift-/.f64 79.1

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

   12. Applied rewrites 79.1%

       \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]

   if 2.7e-77 < k < 9.49999999999999998e-4

   1. Initial program 25.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4} \cdot t}{{\ell}^{2}}}} \]
   4. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4} \cdot t}{\ell \cdot \color{blue}{\ell}}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{\color{blue}{t}}{\ell}} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}} \]

      6. lower-/.f64 99.6

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\color{blue}{\ell}}} \]

   5. Applied rewrites 99.6%

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}}} \]

   if 9.49999999999999998e-4 < k

   1. Initial program 28.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 75.0

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 75.0%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 89.8%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      2. lift-sin.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      3. unpow2 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\sin k \cdot \sin k\right) \cdot t\right) \cdot 2} \]

      4. sqr-sin-a N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      5. lower--.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      7. lower-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

      8. lower-*.f64 89.3

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

   9. Applied rewrites 89.3%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 8: 83.1% accurate, 1.6× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{{\left(\frac{l\_m}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k}\\ \mathbf{elif}\;k \leq 0.00095:\\ \;\;\;\;\frac{2}{\frac{{k}^{4}}{l\_m} \cdot \frac{t}{l\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(\left(\cos k \cdot \frac{l\_m}{k}\right) \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 2.7e-77)
   (/ (* (pow (/ l_m k) 2.0) 2.0) (* (* k t) k))
   (if (<= k 0.00095)
     (/ 2.0 (* (/ (pow k 4.0) l_m) (/ t l_m)))
     (/
      (* (* (* (cos k) (/ l_m k)) (/ l_m k)) 4.0)
      (* (* (- 0.5 (* 0.5 (cos (* 2.0 k)))) t) 2.0)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (((cos(k) * (l_m / k)) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 2.7d-77) then
        tmp = (((l_m / k) ** 2.0d0) * 2.0d0) / ((k * t) * k)
    else if (k <= 0.00095d0) then
        tmp = 2.0d0 / (((k ** 4.0d0) / l_m) * (t / l_m))
    else
        tmp = (((cos(k) * (l_m / k)) * (l_m / k)) * 4.0d0) / (((0.5d0 - (0.5d0 * cos((2.0d0 * k)))) * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (Math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((Math.pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (((Math.cos(k) * (l_m / k)) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * Math.cos((2.0 * k)))) * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 2.7e-77:
		tmp = (math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k)
	elif k <= 0.00095:
		tmp = 2.0 / ((math.pow(k, 4.0) / l_m) * (t / l_m))
	else:
		tmp = (((math.cos(k) * (l_m / k)) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * math.cos((2.0 * k)))) * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64((Float64(l_m / k) ^ 2.0) * 2.0) / Float64(Float64(k * t) * k));
	elseif (k <= 0.00095)
		tmp = Float64(2.0 / Float64(Float64((k ^ 4.0) / l_m) * Float64(t / l_m)));
	else
		tmp = Float64(Float64(Float64(Float64(cos(k) * Float64(l_m / k)) * Float64(l_m / k)) * 4.0) / Float64(Float64(Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k)))) * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (((l_m / k) ^ 2.0) * 2.0) / ((k * t) * k);
	elseif (k <= 0.00095)
		tmp = 2.0 / (((k ^ 4.0) / l_m) * (t / l_m));
	else
		tmp = (((cos(k) * (l_m / k)) * (l_m / k)) * 4.0) / (((0.5 - (0.5 * cos((2.0 * k)))) * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 2.7e-77], N[(N[(N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.00095], N[(2.0 / N[(N[(N[Power[k, 4.0], $MachinePrecision] / l$95$m), $MachinePrecision] * N[(t / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[Cos[k], $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 91.5%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 80.6%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   10. Taylor expanded in k around 0

       \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{{k}^{2}}}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]
   11. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       3. pow2 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       4. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       5. times-frac N/A

          \[\leadsto \frac{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       6. pow2 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       7. lower-pow.f64 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       8. lift-/.f64 79.1

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

   12. Applied rewrites 79.1%

       \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]

   if 2.7e-77 < k < 9.49999999999999998e-4

   1. Initial program 25.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4} \cdot t}{{\ell}^{2}}}} \]
   4. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4} \cdot t}{\ell \cdot \color{blue}{\ell}}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{\color{blue}{t}}{\ell}} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}} \]

      6. lower-/.f64 99.6

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\color{blue}{\ell}}} \]

   5. Applied rewrites 99.6%

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}}} \]

   if 9.49999999999999998e-4 < k

   1. Initial program 28.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 75.0

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 75.0%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 89.8%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]
   8. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

      3. lift-cos.f64 N/A

         \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      4. associate-/l* N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      5. lower-*.f64 N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]

      6. lift-cos.f64 N/A

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin \color{blue}{k}}^{2} \cdot t\right) \cdot 2} \]

      7. lift-/.f64 89.8

         \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

   9. Applied rewrites 89.8%

      \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\color{blue}{\sin k}}^{2} \cdot t\right) \cdot 2} \]
   10. Step-by-step derivation

       1. lift-pow.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       2. lift-sin.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

       3. unpow2 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\sin k \cdot \sin k\right) \cdot t\right) \cdot 2} \]

       4. sqr-sin-a N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

       5. lower--.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

       6. lower-*.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

       7. lower-cos.f64 N/A

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

       8. lower-*.f64 89.2

          \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]

   11. Applied rewrites 89.2%

       \[\leadsto \frac{\left(\left(\cos k \cdot \frac{\ell}{k}\right) \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)\right) \cdot t\right) \cdot 2} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 9: 79.2% accurate, 1.7× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} t_1 := \left(k \cdot t\right) \cdot k\\ \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{{\left(\frac{l\_m}{k}\right)}^{2} \cdot 2}{t\_1}\\ \mathbf{elif}\;k \leq 0.00095:\\ \;\;\;\;\frac{2}{\frac{{k}^{4}}{l\_m} \cdot \frac{t}{l\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{2 \cdot \frac{\left(\cos k \cdot l\_m\right) \cdot l\_m}{0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)}}{t\_1}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (let* ((t_1 (* (* k t) k)))
   (if (<= k 2.7e-77)
     (/ (* (pow (/ l_m k) 2.0) 2.0) t_1)
     (if (<= k 0.00095)
       (/ 2.0 (* (/ (pow k 4.0) l_m) (/ t l_m)))
       (/
        (* 2.0 (/ (* (* (cos k) l_m) l_m) (- 0.5 (* 0.5 (cos (* 2.0 k))))))
        t_1)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double t_1 = (k * t) * k;
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (pow((l_m / k), 2.0) * 2.0) / t_1;
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (2.0 * (((cos(k) * l_m) * l_m) / (0.5 - (0.5 * cos((2.0 * k)))))) / t_1;
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: t_1
    real(8) :: tmp
    t_1 = (k * t) * k
    if (k <= 2.7d-77) then
        tmp = (((l_m / k) ** 2.0d0) * 2.0d0) / t_1
    else if (k <= 0.00095d0) then
        tmp = 2.0d0 / (((k ** 4.0d0) / l_m) * (t / l_m))
    else
        tmp = (2.0d0 * (((cos(k) * l_m) * l_m) / (0.5d0 - (0.5d0 * cos((2.0d0 * k)))))) / t_1
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double t_1 = (k * t) * k;
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (Math.pow((l_m / k), 2.0) * 2.0) / t_1;
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((Math.pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (2.0 * (((Math.cos(k) * l_m) * l_m) / (0.5 - (0.5 * Math.cos((2.0 * k)))))) / t_1;
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	t_1 = (k * t) * k
	tmp = 0
	if k <= 2.7e-77:
		tmp = (math.pow((l_m / k), 2.0) * 2.0) / t_1
	elif k <= 0.00095:
		tmp = 2.0 / ((math.pow(k, 4.0) / l_m) * (t / l_m))
	else:
		tmp = (2.0 * (((math.cos(k) * l_m) * l_m) / (0.5 - (0.5 * math.cos((2.0 * k)))))) / t_1
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	t_1 = Float64(Float64(k * t) * k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64((Float64(l_m / k) ^ 2.0) * 2.0) / t_1);
	elseif (k <= 0.00095)
		tmp = Float64(2.0 / Float64(Float64((k ^ 4.0) / l_m) * Float64(t / l_m)));
	else
		tmp = Float64(Float64(2.0 * Float64(Float64(Float64(cos(k) * l_m) * l_m) / Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k)))))) / t_1);
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	t_1 = (k * t) * k;
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (((l_m / k) ^ 2.0) * 2.0) / t_1;
	elseif (k <= 0.00095)
		tmp = 2.0 / (((k ^ 4.0) / l_m) * (t / l_m));
	else
		tmp = (2.0 * (((cos(k) * l_m) * l_m) / (0.5 - (0.5 * cos((2.0 * k)))))) / t_1;
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := Block[{t$95$1 = N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]}, If[LessEqual[k, 2.7e-77], N[(N[(N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] / t$95$1), $MachinePrecision], If[LessEqual[k, 0.00095], N[(2.0 / N[(N[(N[Power[k, 4.0], $MachinePrecision] / l$95$m), $MachinePrecision] * N[(t / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(N[(N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision] * l$95$m), $MachinePrecision] / N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]]]]

Derivation

1. Split input into 3 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 91.5%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 80.6%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   10. Taylor expanded in k around 0

       \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{{k}^{2}}}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]
   11. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       3. pow2 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       4. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       5. times-frac N/A

          \[\leadsto \frac{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       6. pow2 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       7. lower-pow.f64 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       8. lift-/.f64 79.1

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

   12. Applied rewrites 79.1%

       \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]

   if 2.7e-77 < k < 9.49999999999999998e-4

   1. Initial program 25.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4} \cdot t}{{\ell}^{2}}}} \]
   4. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4} \cdot t}{\ell \cdot \color{blue}{\ell}}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{\color{blue}{t}}{\ell}} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}} \]

      6. lower-/.f64 99.6

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\color{blue}{\ell}}} \]

   5. Applied rewrites 99.6%

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}}} \]

   if 9.49999999999999998e-4 < k

   1. Initial program 28.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 75.0

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 75.0%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 89.8%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 83.8%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]
   10. Step-by-step derivation

       1. lift-pow.f64 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\left(k \cdot t\right) \cdot k} \]

       2. lift-sin.f64 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\left(k \cdot t\right) \cdot k} \]

       3. unpow2 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{\sin k \cdot \sin k}}{\left(k \cdot t\right) \cdot k} \]

       4. sqr-sin-a N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]

       5. lower--.f64 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]

       6. lower-*.f64 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]

       7. lower-cos.f64 N/A

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]

       8. lower-*.f64 83.2

          \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]

   11. Applied rewrites 83.2%

       \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)}}{\left(k \cdot t\right) \cdot k} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 10: 79.2% accurate, 1.7× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{{\left(\frac{l\_m}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k}\\ \mathbf{elif}\;k \leq 0.00095:\\ \;\;\;\;\frac{2}{\frac{{k}^{4}}{l\_m} \cdot \frac{t}{l\_m}}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(l\_m \cdot l\_m\right)}{0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 2.7e-77)
   (/ (* (pow (/ l_m k) 2.0) 2.0) (* (* k t) k))
   (if (<= k 0.00095)
     (/ 2.0 (* (/ (pow k 4.0) l_m) (/ t l_m)))
     (*
      (/ 2.0 (* k (* k t)))
      (/ (* (cos k) (* l_m l_m)) (- 0.5 (* 0.5 (cos (* 2.0 k)))))))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((cos(k) * (l_m * l_m)) / (0.5 - (0.5 * cos((2.0 * k)))));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 2.7d-77) then
        tmp = (((l_m / k) ** 2.0d0) * 2.0d0) / ((k * t) * k)
    else if (k <= 0.00095d0) then
        tmp = 2.0d0 / (((k ** 4.0d0) / l_m) * (t / l_m))
    else
        tmp = (2.0d0 / (k * (k * t))) * ((cos(k) * (l_m * l_m)) / (0.5d0 - (0.5d0 * cos((2.0d0 * k)))))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (Math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else if (k <= 0.00095) {
		tmp = 2.0 / ((Math.pow(k, 4.0) / l_m) * (t / l_m));
	} else {
		tmp = (2.0 / (k * (k * t))) * ((Math.cos(k) * (l_m * l_m)) / (0.5 - (0.5 * Math.cos((2.0 * k)))));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 2.7e-77:
		tmp = (math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k)
	elif k <= 0.00095:
		tmp = 2.0 / ((math.pow(k, 4.0) / l_m) * (t / l_m))
	else:
		tmp = (2.0 / (k * (k * t))) * ((math.cos(k) * (l_m * l_m)) / (0.5 - (0.5 * math.cos((2.0 * k)))))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64((Float64(l_m / k) ^ 2.0) * 2.0) / Float64(Float64(k * t) * k));
	elseif (k <= 0.00095)
		tmp = Float64(2.0 / Float64(Float64((k ^ 4.0) / l_m) * Float64(t / l_m)));
	else
		tmp = Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(cos(k) * Float64(l_m * l_m)) / Float64(0.5 - Float64(0.5 * cos(Float64(2.0 * k))))));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (((l_m / k) ^ 2.0) * 2.0) / ((k * t) * k);
	elseif (k <= 0.00095)
		tmp = 2.0 / (((k ^ 4.0) / l_m) * (t / l_m));
	else
		tmp = (2.0 / (k * (k * t))) * ((cos(k) * (l_m * l_m)) / (0.5 - (0.5 * cos((2.0 * k)))));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 2.7e-77], N[(N[(N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.00095], N[(2.0 / N[(N[(N[Power[k, 4.0], $MachinePrecision] / l$95$m), $MachinePrecision] * N[(t / l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Cos[k], $MachinePrecision] * N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] / N[(0.5 - N[(0.5 * N[Cos[N[(2.0 * k), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 91.5%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 80.6%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   10. Taylor expanded in k around 0

       \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{{k}^{2}}}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]
   11. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       3. pow2 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       4. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       5. times-frac N/A

          \[\leadsto \frac{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       6. pow2 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       7. lower-pow.f64 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       8. lift-/.f64 79.1

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

   12. Applied rewrites 79.1%

       \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]

   if 2.7e-77 < k < 9.49999999999999998e-4

   1. Initial program 25.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4} \cdot t}{{\ell}^{2}}}} \]
   4. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4} \cdot t}{\ell \cdot \color{blue}{\ell}}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \color{blue}{\frac{t}{\ell}}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{\color{blue}{t}}{\ell}} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}} \]

      6. lower-/.f64 99.6

         \[\leadsto \frac{2}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\color{blue}{\ell}}} \]

   5. Applied rewrites 99.6%

      \[\leadsto \frac{2}{\color{blue}{\frac{{k}^{4}}{\ell} \cdot \frac{t}{\ell}}} \]

   if 9.49999999999999998e-4 < k

   1. Initial program 28.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 75.0

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 75.0%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. associate-*l* N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lower-*.f64 83.8

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \color{blue}{\ell}\right)}{{\sin k}^{2}} \]

   7. Applied rewrites 83.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      2. lift-sin.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      3. unpow2 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\sin k \cdot \color{blue}{\sin k}} \]

      4. sqr-sin-a N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(2 \cdot k\right)}} \]

      5. lower--.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\frac{1}{2} - \color{blue}{\frac{1}{2} \cdot \cos \left(2 \cdot k\right)}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\frac{1}{2} - \frac{1}{2} \cdot \color{blue}{\cos \left(2 \cdot k\right)}} \]

      7. lower-cos.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{\frac{1}{2} - \frac{1}{2} \cdot \cos \left(2 \cdot k\right)} \]

      8. lower-*.f64 83.1

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{0.5 - 0.5 \cdot \cos \left(2 \cdot k\right)} \]

   9. Applied rewrites 83.1%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{0.5 - \color{blue}{0.5 \cdot \cos \left(2 \cdot k\right)}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 11: 74.6% accurate, 2.8× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \frac{\left(\frac{\cos k \cdot l\_m}{k} \cdot \frac{l\_m}{k}\right) \cdot 4}{\left(\left(k \cdot t\right) \cdot k\right) \cdot 2} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (/ (* (* (/ (* (cos k) l_m) k) (/ l_m k)) 4.0) (* (* (* k t) k) 2.0)))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	return ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((k * t) * k) * 2.0);
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    code = ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0d0) / (((k * t) * k) * 2.0d0)
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	return ((((Math.cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((k * t) * k) * 2.0);
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	return ((((math.cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((k * t) * k) * 2.0)

Julia

l_m = abs(l)
function code(t, l_m, k)
	return Float64(Float64(Float64(Float64(Float64(cos(k) * l_m) / k) * Float64(l_m / k)) * 4.0) / Float64(Float64(Float64(k * t) * k) * 2.0))
end

MATLAB

l_m = abs(l);
function tmp = code(t, l_m, k)
	tmp = ((((cos(k) * l_m) / k) * (l_m / k)) * 4.0) / (((k * t) * k) * 2.0);
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := N[(N[(N[(N[(N[(N[Cos[k], $MachinePrecision] * l$95$m), $MachinePrecision] / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 37.2%

   \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
2. Add Preprocessing

3. Taylor expanded in t around 0

   \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
4. Step-by-step derivation

   1. associate-*r/ N/A

      \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

   2. associate-*r* N/A

      \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

   3. times-frac N/A

      \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

   4. lower-*.f64 N/A

      \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

   5. lower-/.f64 N/A

      \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

   6. lower-*.f64 N/A

      \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

   7. unpow2 N/A

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

   8. lower-*.f64 N/A

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

   9. lower-/.f64 N/A

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

   10. *-commutative N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

   11. lower-*.f64 N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

   12. lower-cos.f64 N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

   13. pow2 N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   14. lift-*.f64 N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   15. lower-pow.f64 N/A

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

   16. lift-sin.f64 76.9

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

5. Applied rewrites 76.9%

   \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

7. Applied rewrites 89.7%

   \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

8. Taylor expanded in k around 0

   \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left({k}^{2} \cdot t\right) \cdot 2} \]
9. Step-by-step derivation

   1. pow2 N/A

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(k \cdot k\right) \cdot t\right) \cdot 2} \]

   2. associate-*r* N/A

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(k \cdot \left(k \cdot t\right)\right) \cdot 2} \]

   3. *-commutative N/A

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(k \cdot t\right) \cdot k\right) \cdot 2} \]

   4. lower-*.f64 N/A

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(k \cdot t\right) \cdot k\right) \cdot 2} \]

   5. lift-*.f64 74.3

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(k \cdot t\right) \cdot k\right) \cdot 2} \]

10. Applied rewrites 74.3%

    \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\left(\left(k \cdot t\right) \cdot k\right) \cdot 2} \]
11. Add Preprocessing

Alternative 12: 73.1% accurate, 3.2× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 4.4 \cdot 10^{-30}:\\ \;\;\;\;\frac{{\left(\frac{l\_m}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{{k}^{4}} \cdot \left(l\_m \cdot \frac{l\_m}{t}\right)\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 4.4e-30)
   (/ (* (pow (/ l_m k) 2.0) 2.0) (* (* k t) k))
   (* (/ 2.0 (pow k 4.0)) (* l_m (/ l_m t)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 4.4e-30) {
		tmp = (pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else {
		tmp = (2.0 / pow(k, 4.0)) * (l_m * (l_m / t));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 4.4d-30) then
        tmp = (((l_m / k) ** 2.0d0) * 2.0d0) / ((k * t) * k)
    else
        tmp = (2.0d0 / (k ** 4.0d0)) * (l_m * (l_m / t))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 4.4e-30) {
		tmp = (Math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k);
	} else {
		tmp = (2.0 / Math.pow(k, 4.0)) * (l_m * (l_m / t));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 4.4e-30:
		tmp = (math.pow((l_m / k), 2.0) * 2.0) / ((k * t) * k)
	else:
		tmp = (2.0 / math.pow(k, 4.0)) * (l_m * (l_m / t))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 4.4e-30)
		tmp = Float64(Float64((Float64(l_m / k) ^ 2.0) * 2.0) / Float64(Float64(k * t) * k));
	else
		tmp = Float64(Float64(2.0 / (k ^ 4.0)) * Float64(l_m * Float64(l_m / t)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 4.4e-30)
		tmp = (((l_m / k) ^ 2.0) * 2.0) / ((k * t) * k);
	else
		tmp = (2.0 / (k ^ 4.0)) * (l_m * (l_m / t));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 4.4e-30], N[(N[(N[Power[N[(l$95$m / k), $MachinePrecision], 2.0], $MachinePrecision] * 2.0), $MachinePrecision] / N[(N[(k * t), $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] * N[(l$95$m * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if k < 4.39999999999999967e-30

   1. Initial program 41.0%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.5

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.5%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 90.9%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   9. Applied rewrites 80.6%

      \[\leadsto \frac{2 \cdot \frac{\left(\cos k \cdot \ell\right) \cdot \ell}{{\sin k}^{2}}}{\color{blue}{\left(k \cdot t\right) \cdot k}} \]

   10. Taylor expanded in k around 0

       \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{{k}^{2}}}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]
   11. Step-by-step derivation

       1. *-commutative N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       2. lower-*.f64 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 2}{\left(k \cdot \color{blue}{t}\right) \cdot k} \]

       3. pow2 N/A

          \[\leadsto \frac{\frac{{\ell}^{2}}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       4. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       5. times-frac N/A

          \[\leadsto \frac{\left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       6. pow2 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       7. lower-pow.f64 N/A

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

       8. lift-/.f64 79.2

          \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\left(k \cdot t\right) \cdot k} \]

   12. Applied rewrites 79.2%

       \[\leadsto \frac{{\left(\frac{\ell}{k}\right)}^{2} \cdot 2}{\color{blue}{\left(k \cdot t\right)} \cdot k} \]

   if 4.39999999999999967e-30 < k

   1. Initial program 27.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 53.8

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 53.8%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      3. associate-/l* N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]

      5. lower-/.f64 57.8

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \frac{\ell}{\color{blue}{t}}\right) \]

   7. Applied rewrites 57.8%

      \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 13: 71.5% accurate, 3.3× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 4.4 \cdot 10^{-30}:\\ \;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{l\_m}{k} \cdot \frac{l\_m}{k}\right)\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{{k}^{4}} \cdot \left(l\_m \cdot \frac{l\_m}{t}\right)\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 4.4e-30)
   (* (/ 2.0 (* (* k k) t)) (* (/ l_m k) (/ l_m k)))
   (* (/ 2.0 (pow k 4.0)) (* l_m (/ l_m t)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 4.4e-30) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = (2.0 / pow(k, 4.0)) * (l_m * (l_m / t));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 4.4d-30) then
        tmp = (2.0d0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
    else
        tmp = (2.0d0 / (k ** 4.0d0)) * (l_m * (l_m / t))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 4.4e-30) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = (2.0 / Math.pow(k, 4.0)) * (l_m * (l_m / t));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 4.4e-30:
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
	else:
		tmp = (2.0 / math.pow(k, 4.0)) * (l_m * (l_m / t))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 4.4e-30)
		tmp = Float64(Float64(2.0 / Float64(Float64(k * k) * t)) * Float64(Float64(l_m / k) * Float64(l_m / k)));
	else
		tmp = Float64(Float64(2.0 / (k ^ 4.0)) * Float64(l_m * Float64(l_m / t)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 4.4e-30)
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	else
		tmp = (2.0 / (k ^ 4.0)) * (l_m * (l_m / t));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 4.4e-30], N[(N[(2.0 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] * N[(l$95$m * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if k < 4.39999999999999967e-30

   1. Initial program 41.0%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.5

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.5%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   6. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2}}{\color{blue}{{k}^{2}}} \]
   7. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{{k}^{2}} \]

      2. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

      6. lower-/.f64 77.3

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

   8. Applied rewrites 77.3%

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \color{blue}{\frac{\ell}{k}}\right) \]

   if 4.39999999999999967e-30 < k

   1. Initial program 27.4%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 53.8

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 53.8%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      3. associate-/l* N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]

      5. lower-/.f64 57.8

         \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \frac{\ell}{\color{blue}{t}}\right) \]

   7. Applied rewrites 57.8%

      \[\leadsto \frac{2}{{k}^{4}} \cdot \left(\ell \cdot \color{blue}{\frac{\ell}{t}}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 14: 71.9% accurate, 3.3× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{l\_m}{k} \cdot \frac{l\_m}{k}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{l\_m}{{k}^{4}} \cdot \frac{l\_m}{t}\right) \cdot 2\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 2.7e-77)
   (* (/ 2.0 (* (* k k) t)) (* (/ l_m k) (/ l_m k)))
   (* (* (/ l_m (pow k 4.0)) (/ l_m t)) 2.0)))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = ((l_m / pow(k, 4.0)) * (l_m / t)) * 2.0;
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 2.7d-77) then
        tmp = (2.0d0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
    else
        tmp = ((l_m / (k ** 4.0d0)) * (l_m / t)) * 2.0d0
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = ((l_m / Math.pow(k, 4.0)) * (l_m / t)) * 2.0;
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 2.7e-77:
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
	else:
		tmp = ((l_m / math.pow(k, 4.0)) * (l_m / t)) * 2.0
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64(2.0 / Float64(Float64(k * k) * t)) * Float64(Float64(l_m / k) * Float64(l_m / k)));
	else
		tmp = Float64(Float64(Float64(l_m / (k ^ 4.0)) * Float64(l_m / t)) * 2.0);
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	else
		tmp = ((l_m / (k ^ 4.0)) * (l_m / t)) * 2.0;
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 2.7e-77], N[(N[(2.0 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l$95$m / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   6. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2}}{\color{blue}{{k}^{2}}} \]
   7. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{{k}^{2}} \]

      2. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

      6. lower-/.f64 77.1

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

   8. Applied rewrites 77.1%

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \color{blue}{\frac{\ell}{k}}\right) \]

   if 2.7e-77 < k

   1. Initial program 27.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 57.1

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 57.1%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

      3. lift-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      6. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

      7. frac-times N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      8. associate-*r/ N/A

         \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

      9. *-commutative N/A

         \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      11. pow2 N/A

          \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

      12. times-frac N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      13. lower-*.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      14. lower-/.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      15. lift-pow.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      16. lower-/.f64 60.9

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. Applied rewrites 60.9%

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 15: 71.9% accurate, 7.7× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;k \leq 2.7 \cdot 10^{-77}:\\ \;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{l\_m}{k} \cdot \frac{l\_m}{k}\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{l\_m}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{l\_m}{t}\right) \cdot 2\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= k 2.7e-77)
   (* (/ 2.0 (* (* k k) t)) (* (/ l_m k) (/ l_m k)))
   (* (* (/ l_m (* (* k k) (* k k))) (/ l_m t)) 2.0)))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (k <= 2.7d-77) then
        tmp = (2.0d0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
    else
        tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0d0
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (k <= 2.7e-77) {
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	} else {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if k <= 2.7e-77:
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k))
	else:
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (k <= 2.7e-77)
		tmp = Float64(Float64(2.0 / Float64(Float64(k * k) * t)) * Float64(Float64(l_m / k) * Float64(l_m / k)));
	else
		tmp = Float64(Float64(Float64(l_m / Float64(Float64(k * k) * Float64(k * k))) * Float64(l_m / t)) * 2.0);
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (k <= 2.7e-77)
		tmp = (2.0 / ((k * k) * t)) * ((l_m / k) * (l_m / k));
	else
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[k, 2.7e-77], N[(N[(2.0 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m / k), $MachinePrecision] * N[(l$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l$95$m / N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if k < 2.7e-77

   1. Initial program 41.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 78.3

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 78.3%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   6. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2}}{\color{blue}{{k}^{2}}} \]
   7. Step-by-step derivation

      1. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{{k}^{2}} \]

      2. pow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{\color{blue}{k}}\right) \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

      6. lower-/.f64 77.1

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \frac{\ell}{k}\right) \]

   8. Applied rewrites 77.1%

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \left(\frac{\ell}{k} \cdot \color{blue}{\frac{\ell}{k}}\right) \]

   if 2.7e-77 < k

   1. Initial program 27.7%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 57.1

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 57.1%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

      3. lift-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      6. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

      7. frac-times N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      8. associate-*r/ N/A

         \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

      9. *-commutative N/A

         \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      11. pow2 N/A

          \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

      12. times-frac N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      13. lower-*.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      14. lower-/.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      15. lift-pow.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      16. lower-/.f64 60.9

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. Applied rewrites 60.9%

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      2. metadata-eval N/A

         \[\leadsto \left(\frac{\ell}{{k}^{\left(2 + 2\right)}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      3. pow-prod-up N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      4. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      5. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      6. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      7. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      8. lower-*.f64 60.9

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   9. Applied rewrites 60.9%

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 16: 69.1% accurate, 7.8× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;l\_m \leq 1.9 \cdot 10^{-169}:\\ \;\;\;\;\left(\frac{l\_m}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{l\_m}{t}\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{l\_m \cdot l\_m}{k \cdot k} \cdot 4}{\left(\left(k \cdot k\right) \cdot t\right) \cdot 2}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= l_m 1.9e-169)
   (* (* (/ l_m (* (* k k) (* k k))) (/ l_m t)) 2.0)
   (/ (* (/ (* l_m l_m) (* k k)) 4.0) (* (* (* k k) t) 2.0))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (((l_m * l_m) / (k * k)) * 4.0) / (((k * k) * t) * 2.0);
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (l_m <= 1.9d-169) then
        tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0d0
    else
        tmp = (((l_m * l_m) / (k * k)) * 4.0d0) / (((k * k) * t) * 2.0d0)
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (((l_m * l_m) / (k * k)) * 4.0) / (((k * k) * t) * 2.0);
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if l_m <= 1.9e-169:
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0
	else:
		tmp = (((l_m * l_m) / (k * k)) * 4.0) / (((k * k) * t) * 2.0)
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (l_m <= 1.9e-169)
		tmp = Float64(Float64(Float64(l_m / Float64(Float64(k * k) * Float64(k * k))) * Float64(l_m / t)) * 2.0);
	else
		tmp = Float64(Float64(Float64(Float64(l_m * l_m) / Float64(k * k)) * 4.0) / Float64(Float64(Float64(k * k) * t) * 2.0));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (l_m <= 1.9e-169)
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	else
		tmp = (((l_m * l_m) / (k * k)) * 4.0) / (((k * k) * t) * 2.0);
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[l$95$m, 1.9e-169], N[(N[(N[(l$95$m / N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], N[(N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(k * k), $MachinePrecision]), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 1.9e-169

   1. Initial program 35.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 60.2

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 60.2%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

      3. lift-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      6. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

      7. frac-times N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      8. associate-*r/ N/A

         \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

      9. *-commutative N/A

         \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      11. pow2 N/A

          \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

      12. times-frac N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      13. lower-*.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      14. lower-/.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      15. lift-pow.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      16. lower-/.f64 71.0

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. Applied rewrites 71.0%

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      2. metadata-eval N/A

         \[\leadsto \left(\frac{\ell}{{k}^{\left(2 + 2\right)}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      3. pow-prod-up N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      4. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      5. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      6. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      7. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      8. lower-*.f64 70.9

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   9. Applied rewrites 70.9%

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   if 1.9e-169 < l

   1. Initial program 40.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 82.9

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 82.9%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   7. Applied rewrites 92.0%

      \[\leadsto \frac{\left(\frac{\cos k \cdot \ell}{k} \cdot \frac{\ell}{k}\right) \cdot 4}{\color{blue}{\left({\sin k}^{2} \cdot t\right) \cdot 2}} \]

   8. Taylor expanded in k around 0

      \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 4}{\left(\color{blue}{{\sin k}^{2}} \cdot t\right) \cdot 2} \]
   9. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{\frac{{\ell}^{2}}{{k}^{2}} \cdot 4}{\left({\sin k}^{\color{blue}{2}} \cdot t\right) \cdot 2} \]

      2. pow2 N/A

         \[\leadsto \frac{\frac{\ell \cdot \ell}{{k}^{2}} \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{\frac{\ell \cdot \ell}{{k}^{2}} \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      4. pow2 N/A

         \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

      5. lower-*.f64 68.2

         \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left({\sin k}^{2} \cdot t\right) \cdot 2} \]

   10. Applied rewrites 68.2%

       \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left(\color{blue}{{\sin k}^{2}} \cdot t\right) \cdot 2} \]

   11. Taylor expanded in k around 0

       \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left({k}^{2} \cdot t\right) \cdot 2} \]
   12. Step-by-step derivation

       1. pow2 N/A

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left(\left(k \cdot k\right) \cdot t\right) \cdot 2} \]

       2. lift-*.f64 67.6

          \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left(\left(k \cdot k\right) \cdot t\right) \cdot 2} \]

   13. Applied rewrites 67.6%

       \[\leadsto \frac{\frac{\ell \cdot \ell}{k \cdot k} \cdot 4}{\left(\left(k \cdot k\right) \cdot t\right) \cdot 2} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 17: 69.0% accurate, 8.6× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;l\_m \leq 1.9 \cdot 10^{-169}:\\ \;\;\;\;\left(\frac{l\_m}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{l\_m}{t}\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{l\_m \cdot l\_m}{k \cdot k}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= l_m 1.9e-169)
   (* (* (/ l_m (* (* k k) (* k k))) (/ l_m t)) 2.0)
   (* (/ 2.0 (* (* k k) t)) (/ (* l_m l_m) (* k k)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (2.0 / ((k * k) * t)) * ((l_m * l_m) / (k * k));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (l_m <= 1.9d-169) then
        tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0d0
    else
        tmp = (2.0d0 / ((k * k) * t)) * ((l_m * l_m) / (k * k))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (2.0 / ((k * k) * t)) * ((l_m * l_m) / (k * k));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if l_m <= 1.9e-169:
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0
	else:
		tmp = (2.0 / ((k * k) * t)) * ((l_m * l_m) / (k * k))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (l_m <= 1.9e-169)
		tmp = Float64(Float64(Float64(l_m / Float64(Float64(k * k) * Float64(k * k))) * Float64(l_m / t)) * 2.0);
	else
		tmp = Float64(Float64(2.0 / Float64(Float64(k * k) * t)) * Float64(Float64(l_m * l_m) / Float64(k * k)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (l_m <= 1.9e-169)
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	else
		tmp = (2.0 / ((k * k) * t)) * ((l_m * l_m) / (k * k));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[l$95$m, 1.9e-169], N[(N[(N[(l$95$m / N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], N[(N[(2.0 / N[(N[(k * k), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 1.9e-169

   1. Initial program 35.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 60.2

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 60.2%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

      3. lift-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      6. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

      7. frac-times N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      8. associate-*r/ N/A

         \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

      9. *-commutative N/A

         \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      11. pow2 N/A

          \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

      12. times-frac N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      13. lower-*.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      14. lower-/.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      15. lift-pow.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      16. lower-/.f64 71.0

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. Applied rewrites 71.0%

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      2. metadata-eval N/A

         \[\leadsto \left(\frac{\ell}{{k}^{\left(2 + 2\right)}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      3. pow-prod-up N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      4. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      5. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      6. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      7. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      8. lower-*.f64 70.9

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   9. Applied rewrites 70.9%

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   if 1.9e-169 < l

   1. Initial program 40.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 82.9

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 82.9%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]

   6. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{k}^{2} \cdot \left(\left(\frac{-1}{2} \cdot {\ell}^{2} + {k}^{2} \cdot \left(\frac{1}{24} \cdot {\ell}^{2} - \left(\frac{-1}{3} \cdot \left(\frac{-1}{2} \cdot {\ell}^{2} - \frac{-1}{3} \cdot {\ell}^{2}\right) + \frac{2}{45} \cdot {\ell}^{2}\right)\right)\right) - \frac{-1}{3} \cdot {\ell}^{2}\right) + {\ell}^{2}}{\color{blue}{{k}^{2}}} \]
   7. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{k}^{2} \cdot \left(\left(\frac{-1}{2} \cdot {\ell}^{2} + {k}^{2} \cdot \left(\frac{1}{24} \cdot {\ell}^{2} - \left(\frac{-1}{3} \cdot \left(\frac{-1}{2} \cdot {\ell}^{2} - \frac{-1}{3} \cdot {\ell}^{2}\right) + \frac{2}{45} \cdot {\ell}^{2}\right)\right)\right) - \frac{-1}{3} \cdot {\ell}^{2}\right) + {\ell}^{2}}{{k}^{\color{blue}{2}}} \]

   8. Applied rewrites 38.0%

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\mathsf{fma}\left(\mathsf{fma}\left(0.041666666666666664 \cdot \left(\ell \cdot \ell\right) - \mathsf{fma}\left(\left(\ell \cdot \ell\right) \cdot -0.16666666666666666, -0.3333333333333333, 0.044444444444444446 \cdot \left(\ell \cdot \ell\right)\right), k \cdot k, -0.5 \cdot \left(\ell \cdot \ell\right)\right) - \left(\ell \cdot \ell\right) \cdot -0.3333333333333333, k \cdot k, \ell \cdot \ell\right)}{\color{blue}{k \cdot k}} \]

   9. Taylor expanded in k around 0

      \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2}}{k \cdot k} \]
   10. Step-by-step derivation

       1. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

       2. lift-*.f64 67.6

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

   11. Applied rewrites 67.6%

       \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 18: 69.0% accurate, 8.6× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \begin{array}{l} \mathbf{if}\;l\_m \leq 1.9 \cdot 10^{-169}:\\ \;\;\;\;\left(\frac{l\_m}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{l\_m}{t}\right) \cdot 2\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{l\_m \cdot l\_m}{k \cdot k}\\ \end{array} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (if (<= l_m 1.9e-169)
   (* (* (/ l_m (* (* k k) (* k k))) (/ l_m t)) 2.0)
   (* (/ 2.0 (* k (* k t))) (/ (* l_m l_m) (* k k)))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l_m * l_m) / (k * k));
	}
	return tmp;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    real(8) :: tmp
    if (l_m <= 1.9d-169) then
        tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0d0
    else
        tmp = (2.0d0 / (k * (k * t))) * ((l_m * l_m) / (k * k))
    end if
    code = tmp
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	double tmp;
	if (l_m <= 1.9e-169) {
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	} else {
		tmp = (2.0 / (k * (k * t))) * ((l_m * l_m) / (k * k));
	}
	return tmp;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	tmp = 0
	if l_m <= 1.9e-169:
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0
	else:
		tmp = (2.0 / (k * (k * t))) * ((l_m * l_m) / (k * k))
	return tmp

Julia

l_m = abs(l)
function code(t, l_m, k)
	tmp = 0.0
	if (l_m <= 1.9e-169)
		tmp = Float64(Float64(Float64(l_m / Float64(Float64(k * k) * Float64(k * k))) * Float64(l_m / t)) * 2.0);
	else
		tmp = Float64(Float64(2.0 / Float64(k * Float64(k * t))) * Float64(Float64(l_m * l_m) / Float64(k * k)));
	end
	return tmp
end

MATLAB

l_m = abs(l);
function tmp_2 = code(t, l_m, k)
	tmp = 0.0;
	if (l_m <= 1.9e-169)
		tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
	else
		tmp = (2.0 / (k * (k * t))) * ((l_m * l_m) / (k * k));
	end
	tmp_2 = tmp;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := If[LessEqual[l$95$m, 1.9e-169], N[(N[(N[(l$95$m / N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision], N[(N[(2.0 / N[(k * N[(k * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m * l$95$m), $MachinePrecision] / N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if l < 1.9e-169

   1. Initial program 35.3%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in k around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      2. times-frac N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      3. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

      5. lower-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

      6. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

      7. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      8. lift-*.f64 60.2

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. Applied rewrites 60.2%

      \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

      3. lift-pow.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

      4. lift-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

      6. pow2 N/A

         \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

      7. frac-times N/A

         \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

      8. associate-*r/ N/A

         \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

      9. *-commutative N/A

         \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      10. lower-*.f64 N/A

          \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

      11. pow2 N/A

          \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

      12. times-frac N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      13. lower-*.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      14. lower-/.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      15. lift-pow.f64 N/A

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      16. lower-/.f64 71.0

          \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. Applied rewrites 71.0%

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
   8. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      2. metadata-eval N/A

         \[\leadsto \left(\frac{\ell}{{k}^{\left(2 + 2\right)}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      3. pow-prod-up N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      4. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      5. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      6. lower-*.f64 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      7. pow2 N/A

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

      8. lower-*.f64 70.9

         \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   9. Applied rewrites 70.9%

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   if 1.9e-169 < l

   1. Initial program 40.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
   2. Add Preprocessing

   3. Taylor expanded in t around 0

      \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]
   4. Step-by-step derivation

      1. associate-*r/ N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\color{blue}{{k}^{2} \cdot \left(t \cdot {\sin k}^{2}\right)}} \]

      2. associate-*r* N/A

         \[\leadsto \frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left({k}^{2} \cdot t\right) \cdot \color{blue}{{\sin k}^{2}}} \]

      3. times-frac N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{\sin k}^{2}}} \]

      5. lower-/.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{\color{blue}{{\ell}^{2} \cdot \cos k}}{{\sin k}^{2}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{2}{{k}^{2} \cdot t} \cdot \frac{{\ell}^{2} \cdot \color{blue}{\cos k}}{{\sin k}^{2}} \]

      7. unpow2 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      8. lower-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos \color{blue}{k}}{{\sin k}^{2}} \]

      9. lower-/.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{{\ell}^{2} \cdot \cos k}{\color{blue}{{\sin k}^{2}}} \]

      10. *-commutative N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      11. lower-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\color{blue}{\sin k}}^{2}} \]

      12. lower-cos.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot {\ell}^{2}}{{\sin \color{blue}{k}}^{2}} \]

      13. pow2 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      14. lift-*.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

      15. lower-pow.f64 N/A

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{\color{blue}{2}}} \]

      16. lift-sin.f64 82.9

          \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}} \]

   5. Applied rewrites 82.9%

      \[\leadsto \color{blue}{\frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{\sin k}^{2}}} \]
   6. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \left(\color{blue}{\ell} \cdot \ell\right)}{{\sin k}^{2}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{2}{\left(k \cdot k\right) \cdot t} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      3. associate-*l* N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      4. lower-*.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

      5. lower-*.f64 87.8

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \left(\ell \cdot \color{blue}{\ell}\right)}{{\sin k}^{2}} \]

   7. Applied rewrites 87.8%

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\cos k \cdot \color{blue}{\left(\ell \cdot \ell\right)}}{{\sin k}^{2}} \]

   8. Taylor expanded in k around 0

      \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{{\ell}^{2}}{\color{blue}{{k}^{2}}} \]
   9. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{{\ell}^{2}}{{k}^{\color{blue}{2}}} \]

      2. pow2 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{{k}^{2}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{{k}^{2}} \]

      4. pow2 N/A

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

      5. lower-*.f64 67.6

         \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{k \cdot k} \]

   10. Applied rewrites 67.6%

       \[\leadsto \frac{2}{k \cdot \left(k \cdot t\right)} \cdot \frac{\ell \cdot \ell}{\color{blue}{k \cdot k}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 19: 67.1% accurate, 9.6× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \left(\frac{l\_m}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{l\_m}{t}\right) \cdot 2 \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (* (* (/ l_m (* (* k k) (* k k))) (/ l_m t)) 2.0))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	return ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    code = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0d0
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	return ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	return ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0

Julia

l_m = abs(l)
function code(t, l_m, k)
	return Float64(Float64(Float64(l_m / Float64(Float64(k * k) * Float64(k * k))) * Float64(l_m / t)) * 2.0)
end

MATLAB

l_m = abs(l);
function tmp = code(t, l_m, k)
	tmp = ((l_m / ((k * k) * (k * k))) * (l_m / t)) * 2.0;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := N[(N[(N[(l$95$m / N[(N[(k * k), $MachinePrecision] * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]

Derivation

1. Initial program 37.2%

   \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
2. Add Preprocessing

3. Taylor expanded in k around 0

   \[\leadsto \color{blue}{2 \cdot \frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]
4. Step-by-step derivation

   1. associate-*r/ N/A

      \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

   2. times-frac N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

   3. lower-*.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]

   4. lower-/.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{{\ell}^{2}}}{t} \]

   5. lower-pow.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{\color{blue}{2}}}{t} \]

   6. lower-/.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

   7. pow2 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   8. lift-*.f64 61.6

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

5. Applied rewrites 61.6%

   \[\leadsto \color{blue}{\frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t}} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]

   2. lift-/.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\color{blue}{\ell \cdot \ell}}{t} \]

   3. lift-pow.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \color{blue}{\ell}}{t} \]

   4. lift-*.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{t} \]

   5. lift-/.f64 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

   6. pow2 N/A

      \[\leadsto \frac{2}{{k}^{4}} \cdot \frac{{\ell}^{2}}{t} \]

   7. frac-times N/A

      \[\leadsto \frac{2 \cdot {\ell}^{2}}{\color{blue}{{k}^{4} \cdot t}} \]

   8. associate-*r/ N/A

      \[\leadsto 2 \cdot \color{blue}{\frac{{\ell}^{2}}{{k}^{4} \cdot t}} \]

   9. *-commutative N/A

      \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

   10. lower-*.f64 N/A

       \[\leadsto \frac{{\ell}^{2}}{{k}^{4} \cdot t} \cdot \color{blue}{2} \]

   11. pow2 N/A

       \[\leadsto \frac{\ell \cdot \ell}{{k}^{4} \cdot t} \cdot 2 \]

   12. times-frac N/A

       \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   13. lower-*.f64 N/A

       \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   14. lower-/.f64 N/A

       \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   15. lift-pow.f64 N/A

       \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   16. lower-/.f64 68.2

       \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

7. Applied rewrites 68.2%

   \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot \color{blue}{2} \]
8. Step-by-step derivation

   1. lift-pow.f64 N/A

      \[\leadsto \left(\frac{\ell}{{k}^{4}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   2. metadata-eval N/A

      \[\leadsto \left(\frac{\ell}{{k}^{\left(2 + 2\right)}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   3. pow-prod-up N/A

      \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   4. lower-*.f64 N/A

      \[\leadsto \left(\frac{\ell}{{k}^{2} \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   5. pow2 N/A

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   6. lower-*.f64 N/A

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot {k}^{2}} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   7. pow2 N/A

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

   8. lower-*.f64 68.2

      \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]

9. Applied rewrites 68.2%

   \[\leadsto \left(\frac{\ell}{\left(k \cdot k\right) \cdot \left(k \cdot k\right)} \cdot \frac{\ell}{t}\right) \cdot 2 \]
10. Add Preprocessing

Alternative 20: 20.9% accurate, 21.0× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ \frac{-0.11666666666666667 \cdot \left(l\_m \cdot l\_m\right)}{t} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (/ (* -0.11666666666666667 (* l_m l_m)) t))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	return (-0.11666666666666667 * (l_m * l_m)) / t;
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    code = ((-0.11666666666666667d0) * (l_m * l_m)) / t
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	return (-0.11666666666666667 * (l_m * l_m)) / t;
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	return (-0.11666666666666667 * (l_m * l_m)) / t

Julia

l_m = abs(l)
function code(t, l_m, k)
	return Float64(Float64(-0.11666666666666667 * Float64(l_m * l_m)) / t)
end

MATLAB

l_m = abs(l);
function tmp = code(t, l_m, k)
	tmp = (-0.11666666666666667 * (l_m * l_m)) / t;
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := N[(N[(-0.11666666666666667 * N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision]

Derivation

1. Initial program 37.2%

   \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
2. Add Preprocessing

3. Taylor expanded in k around 0

   \[\leadsto \color{blue}{\frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{{k}^{4}}} \]
4. Step-by-step derivation

   1. lower-/.f64 N/A

      \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{\color{blue}{{k}^{4}}} \]

5. Applied rewrites 28.6%

   \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(-2 \cdot \left(k \cdot k\right), \frac{\ell \cdot \ell}{t} \cdot 0.058333333333333334, \frac{\ell \cdot \ell}{t} \cdot -0.3333333333333333\right), k \cdot k, \frac{\ell \cdot \ell}{t} \cdot 2\right)}{{k}^{4}}} \]

6. Taylor expanded in k around inf

   \[\leadsto \frac{-7}{60} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]
7. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

   2. pow2 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   3. lift-/.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   4. lift-*.f64 20.8

      \[\leadsto -0.11666666666666667 \cdot \frac{\ell \cdot \ell}{t} \]

8. Applied rewrites 20.8%

   \[\leadsto -0.11666666666666667 \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]
9. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{\color{blue}{t}} \]

   2. lift-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   3. lift-/.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   4. pow2 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{{\ell}^{2}}{t} \]

   5. associate-*r/ N/A

      \[\leadsto \frac{\frac{-7}{60} \cdot {\ell}^{2}}{t} \]

   6. lower-/.f64 N/A

      \[\leadsto \frac{\frac{-7}{60} \cdot {\ell}^{2}}{t} \]

   7. lower-*.f64 N/A

      \[\leadsto \frac{\frac{-7}{60} \cdot {\ell}^{2}}{t} \]

   8. pow2 N/A

      \[\leadsto \frac{\frac{-7}{60} \cdot \left(\ell \cdot \ell\right)}{t} \]

   9. lift-*.f64 20.8

      \[\leadsto \frac{-0.11666666666666667 \cdot \left(\ell \cdot \ell\right)}{t} \]

10. Applied rewrites 20.8%

    \[\leadsto \frac{-0.11666666666666667 \cdot \left(\ell \cdot \ell\right)}{t} \]
11. Add Preprocessing

Alternative 21: 20.9% accurate, 21.0× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ -0.11666666666666667 \cdot \frac{l\_m \cdot l\_m}{t} \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (* -0.11666666666666667 (/ (* l_m l_m) t)))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	return -0.11666666666666667 * ((l_m * l_m) / t);
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    code = (-0.11666666666666667d0) * ((l_m * l_m) / t)
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	return -0.11666666666666667 * ((l_m * l_m) / t);
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	return -0.11666666666666667 * ((l_m * l_m) / t)

Julia

l_m = abs(l)
function code(t, l_m, k)
	return Float64(-0.11666666666666667 * Float64(Float64(l_m * l_m) / t))
end

MATLAB

l_m = abs(l);
function tmp = code(t, l_m, k)
	tmp = -0.11666666666666667 * ((l_m * l_m) / t);
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := N[(-0.11666666666666667 * N[(N[(l$95$m * l$95$m), $MachinePrecision] / t), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 37.2%

   \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
2. Add Preprocessing

3. Taylor expanded in k around 0

   \[\leadsto \color{blue}{\frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{{k}^{4}}} \]
4. Step-by-step derivation

   1. lower-/.f64 N/A

      \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{\color{blue}{{k}^{4}}} \]

5. Applied rewrites 28.6%

   \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(-2 \cdot \left(k \cdot k\right), \frac{\ell \cdot \ell}{t} \cdot 0.058333333333333334, \frac{\ell \cdot \ell}{t} \cdot -0.3333333333333333\right), k \cdot k, \frac{\ell \cdot \ell}{t} \cdot 2\right)}{{k}^{4}}} \]

6. Taylor expanded in k around inf

   \[\leadsto \frac{-7}{60} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]
7. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

   2. pow2 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   3. lift-/.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   4. lift-*.f64 20.8

      \[\leadsto -0.11666666666666667 \cdot \frac{\ell \cdot \ell}{t} \]

8. Applied rewrites 20.8%

   \[\leadsto -0.11666666666666667 \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]
9. Add Preprocessing

Alternative 22: 18.7% accurate, 21.0× speedup

Math

\[\begin{array}{l} l_m = \left|\ell\right| \\ -0.11666666666666667 \cdot \left(l\_m \cdot \frac{l\_m}{t}\right) \end{array} \]

FPCore

l_m = (fabs.f64 l)
(FPCore (t l_m k)
 :precision binary64
 (* -0.11666666666666667 (* l_m (/ l_m t))))

C

l_m = fabs(l);
double code(double t, double l_m, double k) {
	return -0.11666666666666667 * (l_m * (l_m / t));
}

Fortran

l_m =     private
module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(t, l_m, k)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l_m
    real(8), intent (in) :: k
    code = (-0.11666666666666667d0) * (l_m * (l_m / t))
end function

Java

l_m = Math.abs(l);
public static double code(double t, double l_m, double k) {
	return -0.11666666666666667 * (l_m * (l_m / t));
}

Python

l_m = math.fabs(l)
def code(t, l_m, k):
	return -0.11666666666666667 * (l_m * (l_m / t))

Julia

l_m = abs(l)
function code(t, l_m, k)
	return Float64(-0.11666666666666667 * Float64(l_m * Float64(l_m / t)))
end

MATLAB

l_m = abs(l);
function tmp = code(t, l_m, k)
	tmp = -0.11666666666666667 * (l_m * (l_m / t));
end

Wolfram

l_m = N[Abs[l], $MachinePrecision]
code[t_, l$95$m_, k_] := N[(-0.11666666666666667 * N[(l$95$m * N[(l$95$m / t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 37.2%

   \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)} \]
2. Add Preprocessing

3. Taylor expanded in k around 0

   \[\leadsto \color{blue}{\frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{{k}^{4}}} \]
4. Step-by-step derivation

   1. lower-/.f64 N/A

      \[\leadsto \frac{2 \cdot \frac{{\ell}^{2}}{t} + {k}^{2} \cdot \left(-2 \cdot \left({k}^{2} \cdot \left(\frac{-1}{36} \cdot \frac{{\ell}^{2}}{t} + \frac{31}{360} \cdot \frac{{\ell}^{2}}{t}\right)\right) + \frac{-1}{3} \cdot \frac{{\ell}^{2}}{t}\right)}{\color{blue}{{k}^{4}}} \]

5. Applied rewrites 28.6%

   \[\leadsto \color{blue}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(-2 \cdot \left(k \cdot k\right), \frac{\ell \cdot \ell}{t} \cdot 0.058333333333333334, \frac{\ell \cdot \ell}{t} \cdot -0.3333333333333333\right), k \cdot k, \frac{\ell \cdot \ell}{t} \cdot 2\right)}{{k}^{4}}} \]

6. Taylor expanded in k around inf

   \[\leadsto \frac{-7}{60} \cdot \color{blue}{\frac{{\ell}^{2}}{t}} \]
7. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{{\ell}^{2}}{\color{blue}{t}} \]

   2. pow2 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   3. lift-/.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   4. lift-*.f64 20.8

      \[\leadsto -0.11666666666666667 \cdot \frac{\ell \cdot \ell}{t} \]

8. Applied rewrites 20.8%

   \[\leadsto -0.11666666666666667 \cdot \color{blue}{\frac{\ell \cdot \ell}{t}} \]
9. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   2. lift-/.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \frac{\ell \cdot \ell}{t} \]

   3. associate-/l* N/A

      \[\leadsto \frac{-7}{60} \cdot \left(\ell \cdot \frac{\ell}{\color{blue}{t}}\right) \]

   4. lower-*.f64 N/A

      \[\leadsto \frac{-7}{60} \cdot \left(\ell \cdot \frac{\ell}{\color{blue}{t}}\right) \]

   5. lift-/.f64 19.4

      \[\leadsto -0.11666666666666667 \cdot \left(\ell \cdot \frac{\ell}{t}\right) \]

10. Applied rewrites 19.4%

    \[\leadsto -0.11666666666666667 \cdot \left(\ell \cdot \frac{\ell}{\color{blue}{t}}\right) \]
11. Add Preprocessing

Reproduce

herbie shell --seed 2025051 
(FPCore (t l k)
  :name "Toniolo and Linder, Equation (10-)"
  :precision binary64
  (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))