Toniolo and Linder, Equation (10+)

Percentage Accurate: 54.9% → 90.6%

Time: 8.8s

Alternatives: 6

Speedup: N/A×

• 27.3% 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: 54.9% 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: 90.6% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \begin{array}{l} t_1 := \frac{{\sin k\_m}^{2}}{\cos k\_m}\\ \mathbf{if}\;k\_m \leq 1.45 \cdot 10^{+142}:\\ \;\;\;\;\frac{2}{\frac{\mathsf{fma}\left(k\_m \cdot k\_m, t\_1, {\left(\sin k\_m \cdot t\right)}^{2} \cdot \frac{2}{\cos k\_m}\right)}{\ell} \cdot \frac{t}{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{\left(t\_1 \cdot \left(\frac{k\_m}{\ell} \cdot \frac{k\_m}{\ell}\right)\right) \cdot t}\\ \end{array} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (let* ((t_1 (/ (pow (sin k_m) 2.0) (cos k_m))))
   (if (<= k_m 1.45e+142)
     (/
      2.0
      (*
       (/
        (fma (* k_m k_m) t_1 (* (pow (* (sin k_m) t) 2.0) (/ 2.0 (cos k_m))))
        l)
       (/ t l)))
     (/ 2.0 (* (* t_1 (* (/ k_m l) (/ k_m l))) t)))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	double t_1 = pow(sin(k_m), 2.0) / cos(k_m);
	double tmp;
	if (k_m <= 1.45e+142) {
		tmp = 2.0 / ((fma((k_m * k_m), t_1, (pow((sin(k_m) * t), 2.0) * (2.0 / cos(k_m)))) / l) * (t / l));
	} else {
		tmp = 2.0 / ((t_1 * ((k_m / l) * (k_m / l))) * t);
	}
	return tmp;
}

Julia

k_m = abs(k)
function code(t, l, k_m)
	t_1 = Float64((sin(k_m) ^ 2.0) / cos(k_m))
	tmp = 0.0
	if (k_m <= 1.45e+142)
		tmp = Float64(2.0 / Float64(Float64(fma(Float64(k_m * k_m), t_1, Float64((Float64(sin(k_m) * t) ^ 2.0) * Float64(2.0 / cos(k_m)))) / l) * Float64(t / l)));
	else
		tmp = Float64(2.0 / Float64(Float64(t_1 * Float64(Float64(k_m / l) * Float64(k_m / l))) * t));
	end
	return tmp
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[(N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k$95$m, 1.45e+142], N[(2.0 / N[(N[(N[(N[(k$95$m * k$95$m), $MachinePrecision] * t$95$1 + N[(N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * t), $MachinePrecision], 2.0], $MachinePrecision] * N[(2.0 / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(t / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$1 * N[(N[(k$95$m / l), $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if k < 1.45000000000000007e142

   1. Initial program 56.1%

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

   3. Taylor expanded in t around 0

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

      1. *-commutative N/A

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

      2. lower-*.f64 N/A

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

   5. Applied rewrites 77.5%

      \[\leadsto \frac{2}{\color{blue}{\mathsf{fma}\left(\frac{k \cdot k}{\ell \cdot \ell}, \frac{{\sin k}^{2}}{\cos k}, \frac{\mathsf{fma}\left({\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1} \cdot {\left(t \cdot \sin k\right)}^{1}\right)}{\cos k \cdot \left(\ell \cdot \ell\right)}\right) \cdot t}} \]

   7. Applied rewrites 78.0%

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

   9. Applied rewrites 88.6%

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

   if 1.45000000000000007e142 < k

   1. Initial program 52.6%

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

   3. Taylor expanded in t around 0

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

      1. *-commutative N/A

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

      2. lower-*.f64 N/A

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

   5. Applied rewrites 63.4%

      \[\leadsto \frac{2}{\color{blue}{\mathsf{fma}\left(\frac{k \cdot k}{\ell \cdot \ell}, \frac{{\sin k}^{2}}{\cos k}, \frac{\mathsf{fma}\left({\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1} \cdot {\left(t \cdot \sin k\right)}^{1}\right)}{\cos k \cdot \left(\ell \cdot \ell\right)}\right) \cdot t}} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\frac{{k}^{2} \cdot {\sin k}^{2}}{{\ell}^{2} \cdot \cos k} \cdot t} \]
   7. Step-by-step derivation

      1. frac-times N/A

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

      2. pow2 N/A

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

      3. lift-*.f64 N/A

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

      4. pow2 N/A

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

      5. lift-*.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. *-commutative N/A

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

      8. lower-*.f64 N/A

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

      9. lift-sin.f64 N/A

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

      10. lift-pow.f64 N/A

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

      11. lift-cos.f64 N/A

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

      12. lift-/.f64 71.3

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

      13. lift-/.f64 N/A

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

      14. lift-*.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. times-frac N/A

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

   8. Applied rewrites 92.2%

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

Alternative 2: 83.7% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \begin{array}{l} t_1 := {\sin k\_m}^{2}\\ t_2 := \frac{t\_1}{\cos k\_m}\\ \mathbf{if}\;k\_m \leq 1.45 \cdot 10^{+142}:\\ \;\;\;\;\frac{2}{\frac{\mathsf{fma}\left(k\_m \cdot k\_m, t\_2, \left(t \cdot \left(t \cdot t\_1\right)\right) \cdot \frac{2}{\cos k\_m}\right)}{\ell} \cdot \frac{t}{\ell}}\\ \mathbf{else}:\\ \;\;\;\;\frac{2}{\left(t\_2 \cdot \left(\frac{k\_m}{\ell} \cdot \frac{k\_m}{\ell}\right)\right) \cdot t}\\ \end{array} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (let* ((t_1 (pow (sin k_m) 2.0)) (t_2 (/ t_1 (cos k_m))))
   (if (<= k_m 1.45e+142)
     (/
      2.0
      (*
       (/ (fma (* k_m k_m) t_2 (* (* t (* t t_1)) (/ 2.0 (cos k_m)))) l)
       (/ t l)))
     (/ 2.0 (* (* t_2 (* (/ k_m l) (/ k_m l))) t)))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	double t_1 = pow(sin(k_m), 2.0);
	double t_2 = t_1 / cos(k_m);
	double tmp;
	if (k_m <= 1.45e+142) {
		tmp = 2.0 / ((fma((k_m * k_m), t_2, ((t * (t * t_1)) * (2.0 / cos(k_m)))) / l) * (t / l));
	} else {
		tmp = 2.0 / ((t_2 * ((k_m / l) * (k_m / l))) * t);
	}
	return tmp;
}

Julia

k_m = abs(k)
function code(t, l, k_m)
	t_1 = sin(k_m) ^ 2.0
	t_2 = Float64(t_1 / cos(k_m))
	tmp = 0.0
	if (k_m <= 1.45e+142)
		tmp = Float64(2.0 / Float64(Float64(fma(Float64(k_m * k_m), t_2, Float64(Float64(t * Float64(t * t_1)) * Float64(2.0 / cos(k_m)))) / l) * Float64(t / l)));
	else
		tmp = Float64(2.0 / Float64(Float64(t_2 * Float64(Float64(k_m / l) * Float64(k_m / l))) * t));
	end
	return tmp
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k$95$m, 1.45e+142], N[(2.0 / N[(N[(N[(N[(k$95$m * k$95$m), $MachinePrecision] * t$95$2 + N[(N[(t * N[(t * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(2.0 / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(t / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$2 * N[(N[(k$95$m / l), $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision]]]]

Derivation

1. Split input into 2 regimes

2. if k < 1.45000000000000007e142

   1. Initial program 56.1%

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

   3. Taylor expanded in t around 0

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

      1. *-commutative N/A

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

      2. lower-*.f64 N/A

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

   5. Applied rewrites 77.5%

      \[\leadsto \frac{2}{\color{blue}{\mathsf{fma}\left(\frac{k \cdot k}{\ell \cdot \ell}, \frac{{\sin k}^{2}}{\cos k}, \frac{\mathsf{fma}\left({\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1} \cdot {\left(t \cdot \sin k\right)}^{1}\right)}{\cos k \cdot \left(\ell \cdot \ell\right)}\right) \cdot t}} \]

   7. Applied rewrites 78.0%

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

   9. Applied rewrites 88.6%

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

   10. Taylor expanded in t around 0

       \[\leadsto \frac{2}{\frac{\mathsf{fma}\left(k \cdot k, \frac{{\sin k}^{2}}{\cos k}, \left({t}^{2} \cdot {\sin k}^{2}\right) \cdot \frac{2}{\cos k}\right)}{\ell} \cdot \frac{t}{\ell}} \]
   11. Step-by-step derivation

       1. pow2 N/A

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

       2. associate-*l* N/A

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

       3. lower-*.f64 N/A

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

       4. lower-*.f64 N/A

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

       5. lift-sin.f64 N/A

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

       6. lift-pow.f64 83.0

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

   12. Applied rewrites 83.0%

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

   if 1.45000000000000007e142 < k

   1. Initial program 52.6%

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

   3. Taylor expanded in t around 0

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

      1. *-commutative N/A

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

      2. lower-*.f64 N/A

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

   5. Applied rewrites 63.4%

      \[\leadsto \frac{2}{\color{blue}{\mathsf{fma}\left(\frac{k \cdot k}{\ell \cdot \ell}, \frac{{\sin k}^{2}}{\cos k}, \frac{\mathsf{fma}\left({\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1} \cdot {\left(t \cdot \sin k\right)}^{1}\right)}{\cos k \cdot \left(\ell \cdot \ell\right)}\right) \cdot t}} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\frac{{k}^{2} \cdot {\sin k}^{2}}{{\ell}^{2} \cdot \cos k} \cdot t} \]
   7. Step-by-step derivation

      1. frac-times N/A

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

      2. pow2 N/A

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

      3. lift-*.f64 N/A

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

      4. pow2 N/A

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

      5. lift-*.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. *-commutative N/A

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

      8. lower-*.f64 N/A

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

      9. lift-sin.f64 N/A

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

      10. lift-pow.f64 N/A

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

      11. lift-cos.f64 N/A

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

      12. lift-/.f64 71.3

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

      13. lift-/.f64 N/A

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

      14. lift-*.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. times-frac N/A

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

   8. Applied rewrites 92.2%

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

Alternative 3: 71.1% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \begin{array}{l} t_1 := {\sin k\_m}^{2}\\ \mathbf{if}\;t \leq 6.8 \cdot 10^{+240}:\\ \;\;\;\;\frac{2}{\left(\frac{t\_1}{\cos k\_m} \cdot \left(\frac{k\_m}{\ell} \cdot \frac{k\_m}{\ell}\right)\right) \cdot t}\\ \mathbf{else}:\\ \;\;\;\;\frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k\_m}{t\_1}\\ \end{array} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (let* ((t_1 (pow (sin k_m) 2.0)))
   (if (<= t 6.8e+240)
     (/ 2.0 (* (* (/ t_1 (cos k_m)) (* (/ k_m l) (/ k_m l))) t))
     (* (/ (* l l) (pow t 3.0)) (/ (cos k_m) t_1)))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	double t_1 = pow(sin(k_m), 2.0);
	double tmp;
	if (t <= 6.8e+240) {
		tmp = 2.0 / (((t_1 / cos(k_m)) * ((k_m / l) * (k_m / l))) * t);
	} else {
		tmp = ((l * l) / pow(t, 3.0)) * (cos(k_m) / t_1);
	}
	return tmp;
}

Fortran

k_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, k_m)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k_m
    real(8) :: t_1
    real(8) :: tmp
    t_1 = sin(k_m) ** 2.0d0
    if (t <= 6.8d+240) then
        tmp = 2.0d0 / (((t_1 / cos(k_m)) * ((k_m / l) * (k_m / l))) * t)
    else
        tmp = ((l * l) / (t ** 3.0d0)) * (cos(k_m) / t_1)
    end if
    code = tmp
end function

Java

k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
	double t_1 = Math.pow(Math.sin(k_m), 2.0);
	double tmp;
	if (t <= 6.8e+240) {
		tmp = 2.0 / (((t_1 / Math.cos(k_m)) * ((k_m / l) * (k_m / l))) * t);
	} else {
		tmp = ((l * l) / Math.pow(t, 3.0)) * (Math.cos(k_m) / t_1);
	}
	return tmp;
}

Python

k_m = math.fabs(k)
def code(t, l, k_m):
	t_1 = math.pow(math.sin(k_m), 2.0)
	tmp = 0
	if t <= 6.8e+240:
		tmp = 2.0 / (((t_1 / math.cos(k_m)) * ((k_m / l) * (k_m / l))) * t)
	else:
		tmp = ((l * l) / math.pow(t, 3.0)) * (math.cos(k_m) / t_1)
	return tmp

Julia

k_m = abs(k)
function code(t, l, k_m)
	t_1 = sin(k_m) ^ 2.0
	tmp = 0.0
	if (t <= 6.8e+240)
		tmp = Float64(2.0 / Float64(Float64(Float64(t_1 / cos(k_m)) * Float64(Float64(k_m / l) * Float64(k_m / l))) * t));
	else
		tmp = Float64(Float64(Float64(l * l) / (t ^ 3.0)) * Float64(cos(k_m) / t_1));
	end
	return tmp
end

MATLAB

k_m = abs(k);
function tmp_2 = code(t, l, k_m)
	t_1 = sin(k_m) ^ 2.0;
	tmp = 0.0;
	if (t <= 6.8e+240)
		tmp = 2.0 / (((t_1 / cos(k_m)) * ((k_m / l) * (k_m / l))) * t);
	else
		tmp = ((l * l) / (t ^ 3.0)) * (cos(k_m) / t_1);
	end
	tmp_2 = tmp;
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 6.8e+240], N[(2.0 / N[(N[(N[(t$95$1 / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[(k$95$m / l), $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * l), $MachinePrecision] / N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k$95$m], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if t < 6.80000000000000017e240

   1. Initial program 54.5%

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

   3. Taylor expanded in t around 0

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

      1. *-commutative N/A

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

      2. lower-*.f64 N/A

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

   5. Applied rewrites 74.6%

      \[\leadsto \frac{2}{\color{blue}{\mathsf{fma}\left(\frac{k \cdot k}{\ell \cdot \ell}, \frac{{\sin k}^{2}}{\cos k}, \frac{\mathsf{fma}\left({\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1}, {\left(t \cdot \sin k\right)}^{1} \cdot {\left(t \cdot \sin k\right)}^{1}\right)}{\cos k \cdot \left(\ell \cdot \ell\right)}\right) \cdot t}} \]

   6. Taylor expanded in t around 0

      \[\leadsto \frac{2}{\frac{{k}^{2} \cdot {\sin k}^{2}}{{\ell}^{2} \cdot \cos k} \cdot t} \]
   7. Step-by-step derivation

      1. frac-times N/A

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

      2. pow2 N/A

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

      3. lift-*.f64 N/A

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

      4. pow2 N/A

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

      5. lift-*.f64 N/A

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

      6. lift-/.f64 N/A

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

      7. *-commutative N/A

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

      8. lower-*.f64 N/A

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

      9. lift-sin.f64 N/A

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

      10. lift-pow.f64 N/A

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

      11. lift-cos.f64 N/A

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

      12. lift-/.f64 65.2

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

      13. lift-/.f64 N/A

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

      14. lift-*.f64 N/A

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

      15. lift-*.f64 N/A

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

      16. times-frac N/A

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

   8. Applied rewrites 74.8%

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

   if 6.80000000000000017e240 < t

   1. Initial program 88.8%

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

   3. Taylor expanded in t around inf

      \[\leadsto \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{t}^{3} \cdot {\sin k}^{2}}} \]
   4. Step-by-step derivation

      1. times-frac N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \frac{\color{blue}{\cos k}}{{\sin k}^{2}} \]

      4. pow2 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      6. lift-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{\color{blue}{{\sin k}^{2}}} \]

      8. lower-cos.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\color{blue}{\sin k}}^{2}} \]

      9. lower-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 87.5

          \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

   5. Applied rewrites 87.5%

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

Alternative 4: 64.4% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \begin{array}{l} t_1 := {\sin k\_m}^{2}\\ \mathbf{if}\;t \leq 4.8 \cdot 10^{+43}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\cos k\_m, \ell \cdot \ell, \left(\cos k\_m \cdot \ell\right) \cdot \ell\right)}{\left(k\_m \cdot \left(k\_m \cdot t\right)\right) \cdot t\_1}\\ \mathbf{else}:\\ \;\;\;\;\frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k\_m}{t\_1}\\ \end{array} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (let* ((t_1 (pow (sin k_m) 2.0)))
   (if (<= t 4.8e+43)
     (/
      (fma (cos k_m) (* l l) (* (* (cos k_m) l) l))
      (* (* k_m (* k_m t)) t_1))
     (* (/ (* l l) (pow t 3.0)) (/ (cos k_m) t_1)))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	double t_1 = pow(sin(k_m), 2.0);
	double tmp;
	if (t <= 4.8e+43) {
		tmp = fma(cos(k_m), (l * l), ((cos(k_m) * l) * l)) / ((k_m * (k_m * t)) * t_1);
	} else {
		tmp = ((l * l) / pow(t, 3.0)) * (cos(k_m) / t_1);
	}
	return tmp;
}

Julia

k_m = abs(k)
function code(t, l, k_m)
	t_1 = sin(k_m) ^ 2.0
	tmp = 0.0
	if (t <= 4.8e+43)
		tmp = Float64(fma(cos(k_m), Float64(l * l), Float64(Float64(cos(k_m) * l) * l)) / Float64(Float64(k_m * Float64(k_m * t)) * t_1));
	else
		tmp = Float64(Float64(Float64(l * l) / (t ^ 3.0)) * Float64(cos(k_m) / t_1));
	end
	return tmp
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 4.8e+43], N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(l * l), $MachinePrecision] + N[(N[(N[Cos[k$95$m], $MachinePrecision] * l), $MachinePrecision] * l), $MachinePrecision]), $MachinePrecision] / N[(N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * l), $MachinePrecision] / N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k$95$m], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if t < 4.80000000000000046e43

   1. Initial program 53.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)} \]
   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. count-2-rev N/A

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

      2. div-add-rev N/A

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

      3. lower-/.f64 N/A

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

      4. *-commutative N/A

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

      5. lower-fma.f64 N/A

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

      6. lower-cos.f64 N/A

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

      7. pow2 N/A

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

      8. lift-*.f64 N/A

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

      9. *-commutative N/A

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

      10. lower-*.f64 N/A

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

      11. lower-cos.f64 N/A

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

      12. pow2 N/A

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

      13. lift-*.f64 N/A

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

      14. associate-*r* N/A

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

      15. lower-*.f64 N/A

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

   5. Applied rewrites 68.4%

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

      1. lift-*.f64 N/A

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

      2. lift-*.f64 N/A

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

      3. associate-*l* N/A

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

      4. lower-*.f64 N/A

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

      5. lower-*.f64 71.1

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

   7. Applied rewrites 71.1%

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

      1. lift-*.f64 N/A

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

      2. lift-*.f64 N/A

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

      3. lift-cos.f64 N/A

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

      4. associate-*r* N/A

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

      5. lower-*.f64 N/A

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

      6. lower-*.f64 N/A

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

      7. lift-cos.f64 71.2

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

   9. Applied rewrites 71.2%

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

   if 4.80000000000000046e43 < t

   1. Initial program 68.0%

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

   3. Taylor expanded in t around inf

      \[\leadsto \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{t}^{3} \cdot {\sin k}^{2}}} \]
   4. Step-by-step derivation

      1. times-frac N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \frac{\color{blue}{\cos k}}{{\sin k}^{2}} \]

      4. pow2 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      6. lift-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{\color{blue}{{\sin k}^{2}}} \]

      8. lower-cos.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\color{blue}{\sin k}}^{2}} \]

      9. lower-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 60.8

          \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

   5. Applied rewrites 60.8%

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

Alternative 5: 64.4% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \begin{array}{l} t_1 := {\sin k\_m}^{2}\\ \mathbf{if}\;t \leq 4.8 \cdot 10^{+43}:\\ \;\;\;\;\frac{\mathsf{fma}\left(\cos k\_m, \ell \cdot \ell, \cos k\_m \cdot \left(\ell \cdot \ell\right)\right)}{\left(k\_m \cdot \left(k\_m \cdot t\right)\right) \cdot t\_1}\\ \mathbf{else}:\\ \;\;\;\;\frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k\_m}{t\_1}\\ \end{array} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (let* ((t_1 (pow (sin k_m) 2.0)))
   (if (<= t 4.8e+43)
     (/
      (fma (cos k_m) (* l l) (* (cos k_m) (* l l)))
      (* (* k_m (* k_m t)) t_1))
     (* (/ (* l l) (pow t 3.0)) (/ (cos k_m) t_1)))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	double t_1 = pow(sin(k_m), 2.0);
	double tmp;
	if (t <= 4.8e+43) {
		tmp = fma(cos(k_m), (l * l), (cos(k_m) * (l * l))) / ((k_m * (k_m * t)) * t_1);
	} else {
		tmp = ((l * l) / pow(t, 3.0)) * (cos(k_m) / t_1);
	}
	return tmp;
}

Julia

k_m = abs(k)
function code(t, l, k_m)
	t_1 = sin(k_m) ^ 2.0
	tmp = 0.0
	if (t <= 4.8e+43)
		tmp = Float64(fma(cos(k_m), Float64(l * l), Float64(cos(k_m) * Float64(l * l))) / Float64(Float64(k_m * Float64(k_m * t)) * t_1));
	else
		tmp = Float64(Float64(Float64(l * l) / (t ^ 3.0)) * Float64(cos(k_m) / t_1));
	end
	return tmp
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 4.8e+43], N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(l * l), $MachinePrecision] + N[(N[Cos[k$95$m], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(k$95$m * N[(k$95$m * t), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[(l * l), $MachinePrecision] / N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k$95$m], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if t < 4.80000000000000046e43

   1. Initial program 53.1%

      \[\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)} \]
   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. count-2-rev N/A

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

      2. div-add-rev N/A

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

      3. lower-/.f64 N/A

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

      4. *-commutative N/A

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

      5. lower-fma.f64 N/A

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

      6. lower-cos.f64 N/A

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

      7. pow2 N/A

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

      8. lift-*.f64 N/A

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

      9. *-commutative N/A

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

      10. lower-*.f64 N/A

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

      11. lower-cos.f64 N/A

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

      12. pow2 N/A

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

      13. lift-*.f64 N/A

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

      14. associate-*r* N/A

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

      15. lower-*.f64 N/A

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

   5. Applied rewrites 68.4%

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

      1. lift-*.f64 N/A

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

      2. lift-*.f64 N/A

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

      3. associate-*l* N/A

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

      4. lower-*.f64 N/A

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

      5. lower-*.f64 71.1

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

   7. Applied rewrites 71.1%

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

   if 4.80000000000000046e43 < t

   1. Initial program 68.0%

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

   3. Taylor expanded in t around inf

      \[\leadsto \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{t}^{3} \cdot {\sin k}^{2}}} \]
   4. Step-by-step derivation

      1. times-frac N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      2. lower-*.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

      3. lower-/.f64 N/A

         \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \frac{\color{blue}{\cos k}}{{\sin k}^{2}} \]

      4. pow2 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

      6. lift-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{\color{blue}{{\sin k}^{2}}} \]

      8. lower-cos.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\color{blue}{\sin k}}^{2}} \]

      9. lower-pow.f64 N/A

         \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{\color{blue}{2}}} \]

      10. lift-sin.f64 60.8

          \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

   5. Applied rewrites 60.8%

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

Alternative 6: 50.5% accurate, N/A× speedup

Math

\[\begin{array}{l} k_m = \left|k\right| \\ \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k\_m}{{\sin k\_m}^{2}} \end{array} \]

FPCore

k_m = (fabs.f64 k)
(FPCore (t l k_m)
 :precision binary64
 (* (/ (* l l) (pow t 3.0)) (/ (cos k_m) (pow (sin k_m) 2.0))))

C

k_m = fabs(k);
double code(double t, double l, double k_m) {
	return ((l * l) / pow(t, 3.0)) * (cos(k_m) / pow(sin(k_m), 2.0));
}

Fortran

k_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, k_m)
use fmin_fmax_functions
    real(8), intent (in) :: t
    real(8), intent (in) :: l
    real(8), intent (in) :: k_m
    code = ((l * l) / (t ** 3.0d0)) * (cos(k_m) / (sin(k_m) ** 2.0d0))
end function

Java

k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
	return ((l * l) / Math.pow(t, 3.0)) * (Math.cos(k_m) / Math.pow(Math.sin(k_m), 2.0));
}

Python

k_m = math.fabs(k)
def code(t, l, k_m):
	return ((l * l) / math.pow(t, 3.0)) * (math.cos(k_m) / math.pow(math.sin(k_m), 2.0))

Julia

k_m = abs(k)
function code(t, l, k_m)
	return Float64(Float64(Float64(l * l) / (t ^ 3.0)) * Float64(cos(k_m) / (sin(k_m) ^ 2.0)))
end

MATLAB

k_m = abs(k);
function tmp = code(t, l, k_m)
	tmp = ((l * l) / (t ^ 3.0)) * (cos(k_m) / (sin(k_m) ^ 2.0));
end

Wolfram

k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := N[(N[(N[(l * l), $MachinePrecision] / N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k$95$m], $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 55.6%

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

3. Taylor expanded in t around inf

   \[\leadsto \color{blue}{\frac{{\ell}^{2} \cdot \cos k}{{t}^{3} \cdot {\sin k}^{2}}} \]
4. Step-by-step derivation

   1. times-frac N/A

      \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

   2. lower-*.f64 N/A

      \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \color{blue}{\frac{\cos k}{{\sin k}^{2}}} \]

   3. lower-/.f64 N/A

      \[\leadsto \frac{{\ell}^{2}}{{t}^{3}} \cdot \frac{\color{blue}{\cos k}}{{\sin k}^{2}} \]

   4. pow2 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

   5. lift-*.f64 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos \color{blue}{k}}{{\sin k}^{2}} \]

   6. lift-pow.f64 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

   7. lower-/.f64 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{\color{blue}{{\sin k}^{2}}} \]

   8. lower-cos.f64 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\color{blue}{\sin k}}^{2}} \]

   9. lower-pow.f64 N/A

      \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{\color{blue}{2}}} \]

   10. lift-sin.f64 55.6

       \[\leadsto \frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}} \]

5. Applied rewrites 55.6%

   \[\leadsto \color{blue}{\frac{\ell \cdot \ell}{{t}^{3}} \cdot \frac{\cos k}{{\sin k}^{2}}} \]
6. Add Preprocessing

Reproduce

herbie shell --seed 2025064 
(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))))