(/ (log (- 1 z0)) (- (/ z3 (* (- z4) z4)) (/ z1 (* z2 z2))))

Percentage Accurate: 65.6% → 90.7%

Time: 4.5s

Alternatives: 13

Speedup: 2.3×

Specification

Math

\[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (/ (log (- 1.0 z0)) (- (/ z3 (* (- z4) z4)) (/ z1 (* z2 z2)))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	return log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    code = log((1.0d0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)))
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	return Math.log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
}

Python

def code(z0, z3, z4, z1, z2):
	return math.log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)))

Julia

function code(z0, z3, z4, z1, z2)
	return Float64(log(Float64(1.0 - z0)) / Float64(Float64(z3 / Float64(Float64(-z4) * z4)) - Float64(z1 / Float64(z2 * z2))))
end

MATLAB

function tmp = code(z0, z3, z4, z1, z2)
	tmp = log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := N[(N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision] / N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] - N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Initial Program: 65.6% accurate, 1.0× speedup

Math

\[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (/ (log (- 1.0 z0)) (- (/ z3 (* (- z4) z4)) (/ z1 (* z2 z2)))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	return log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    code = log((1.0d0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)))
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	return Math.log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
}

Python

def code(z0, z3, z4, z1, z2):
	return math.log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)))

Julia

function code(z0, z3, z4, z1, z2)
	return Float64(log(Float64(1.0 - z0)) / Float64(Float64(z3 / Float64(Float64(-z4) * z4)) - Float64(z1 / Float64(z2 * z2))))
end

MATLAB

function tmp = code(z0, z3, z4, z1, z2)
	tmp = log((1.0 - z0)) / ((z3 / (-z4 * z4)) - (z1 / (z2 * z2)));
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := N[(N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision] / N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] - N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Alternative 1: 90.7% accurate, 0.2× speedup

Math

\[\begin{array}{l} t_0 := \frac{z3}{\left(-z4\right) \cdot z4}\\ t_1 := \frac{\log \left(1 - z0\right)}{t\_0 - \frac{z1}{z2 \cdot z2}}\\ \mathbf{if}\;t\_1 \leq -2 \cdot 10^{-253}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_1 \leq 5 \cdot 10^{-283}:\\ \;\;\;\;\frac{-z0}{t\_0 - \frac{1}{\frac{z2}{\frac{z1}{z2}}}}\\ \mathbf{elif}\;t\_1 \leq 2 \cdot 10^{+302}:\\ \;\;\;\;t\_1\\ \mathbf{else}:\\ \;\;\;\;\frac{-z0}{\frac{\frac{z1}{z2} \cdot z4 + \frac{z3}{z4} \cdot z2}{-z4}} \cdot \frac{1}{\frac{1}{z2}}\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (/ z3 (* (- z4) z4)))
       (t_1 (/ (log (- 1.0 z0)) (- t_0 (/ z1 (* z2 z2))))))
  (if (<= t_1 -2e-253)
    t_1
    (if (<= t_1 5e-283)
      (/ (- z0) (- t_0 (/ 1.0 (/ z2 (/ z1 z2)))))
      (if (<= t_1 2e+302)
        t_1
        (*
         (/ (- z0) (/ (+ (* (/ z1 z2) z4) (* (/ z3 z4) z2)) (- z4)))
         (/ 1.0 (/ 1.0 z2))))))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double t_1 = log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)));
	double tmp;
	if (t_1 <= -2e-253) {
		tmp = t_1;
	} else if (t_1 <= 5e-283) {
		tmp = -z0 / (t_0 - (1.0 / (z2 / (z1 / z2))));
	} else if (t_1 <= 2e+302) {
		tmp = t_1;
	} else {
		tmp = (-z0 / ((((z1 / z2) * z4) + ((z3 / z4) * z2)) / -z4)) * (1.0 / (1.0 / z2));
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: tmp
    t_0 = z3 / (-z4 * z4)
    t_1 = log((1.0d0 - z0)) / (t_0 - (z1 / (z2 * z2)))
    if (t_1 <= (-2d-253)) then
        tmp = t_1
    else if (t_1 <= 5d-283) then
        tmp = -z0 / (t_0 - (1.0d0 / (z2 / (z1 / z2))))
    else if (t_1 <= 2d+302) then
        tmp = t_1
    else
        tmp = (-z0 / ((((z1 / z2) * z4) + ((z3 / z4) * z2)) / -z4)) * (1.0d0 / (1.0d0 / z2))
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double t_1 = Math.log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)));
	double tmp;
	if (t_1 <= -2e-253) {
		tmp = t_1;
	} else if (t_1 <= 5e-283) {
		tmp = -z0 / (t_0 - (1.0 / (z2 / (z1 / z2))));
	} else if (t_1 <= 2e+302) {
		tmp = t_1;
	} else {
		tmp = (-z0 / ((((z1 / z2) * z4) + ((z3 / z4) * z2)) / -z4)) * (1.0 / (1.0 / z2));
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = z3 / (-z4 * z4)
	t_1 = math.log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)))
	tmp = 0
	if t_1 <= -2e-253:
		tmp = t_1
	elif t_1 <= 5e-283:
		tmp = -z0 / (t_0 - (1.0 / (z2 / (z1 / z2))))
	elif t_1 <= 2e+302:
		tmp = t_1
	else:
		tmp = (-z0 / ((((z1 / z2) * z4) + ((z3 / z4) * z2)) / -z4)) * (1.0 / (1.0 / z2))
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = Float64(z3 / Float64(Float64(-z4) * z4))
	t_1 = Float64(log(Float64(1.0 - z0)) / Float64(t_0 - Float64(z1 / Float64(z2 * z2))))
	tmp = 0.0
	if (t_1 <= -2e-253)
		tmp = t_1;
	elseif (t_1 <= 5e-283)
		tmp = Float64(Float64(-z0) / Float64(t_0 - Float64(1.0 / Float64(z2 / Float64(z1 / z2)))));
	elseif (t_1 <= 2e+302)
		tmp = t_1;
	else
		tmp = Float64(Float64(Float64(-z0) / Float64(Float64(Float64(Float64(z1 / z2) * z4) + Float64(Float64(z3 / z4) * z2)) / Float64(-z4))) * Float64(1.0 / Float64(1.0 / z2)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = z3 / (-z4 * z4);
	t_1 = log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)));
	tmp = 0.0;
	if (t_1 <= -2e-253)
		tmp = t_1;
	elseif (t_1 <= 5e-283)
		tmp = -z0 / (t_0 - (1.0 / (z2 / (z1 / z2))));
	elseif (t_1 <= 2e+302)
		tmp = t_1;
	else
		tmp = (-z0 / ((((z1 / z2) * z4) + ((z3 / z4) * z2)) / -z4)) * (1.0 / (1.0 / z2));
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision] / N[(t$95$0 - N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -2e-253], t$95$1, If[LessEqual[t$95$1, 5e-283], N[((-z0) / N[(t$95$0 - N[(1.0 / N[(z2 / N[(z1 / z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 2e+302], t$95$1, N[(N[((-z0) / N[(N[(N[(N[(z1 / z2), $MachinePrecision] * z4), $MachinePrecision] + N[(N[(z3 / z4), $MachinePrecision] * z2), $MachinePrecision]), $MachinePrecision] / (-z4)), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 / z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]

Derivation

1. Split input into 3 regimes

2. if (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2)))) < -2.0000000000000001e-253 or 5.0000000000000001e-283 < (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2)))) < 2.0000000000000002e302

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   if -2.0000000000000001e-253 < (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2)))) < 5.0000000000000001e-283

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      2. mul-1-neg N/A

         \[\leadsto \frac{\mathsf{neg}\left(z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      3. lower-neg.f64 71.9%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   6. Applied rewrites 71.9%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   7. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      3. associate-/r* N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      4. lift-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      5. div-flip N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{1}{\frac{z2}{\frac{z1}{z2}}}}} \]

      6. lower-unsound-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{1}{\frac{z2}{\frac{z1}{z2}}}}} \]

      7. lower-unsound-/.f64 74.7%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{1}{\color{blue}{\frac{z2}{\frac{z1}{z2}}}}} \]

   8. Applied rewrites 74.7%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{1}{\frac{z2}{\frac{z1}{z2}}}}} \]

   if 2.0000000000000002e302 < (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2))))

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   6. Applied rewrites 75.0%

      \[\leadsto \color{blue}{\frac{-z0}{\frac{\frac{z1}{z2} \cdot z4 + \frac{z3}{z4} \cdot z2}{-z4}} \cdot \frac{1}{\frac{1}{z2}}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 2: 88.4% accurate, 0.9× speedup

Math

\[\begin{array}{l} \mathbf{if}\;z0 \leq -7.8 \cdot 10^{-7}:\\ \;\;\;\;\left(\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2} \cdot z4 + \frac{z3}{z4} \cdot z2} \cdot z4\right) \cdot z2\\ \mathbf{else}:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= z0 -7.8e-7)
  (*
   (*
    (/ (- (log (- 1.0 z0))) (+ (* (/ z1 z2) z4) (* (/ z3 z4) z2)))
    z4)
   z2)
  (/ (* -1.0 z0) (/ (- (* (/ z3 (* (- z4) z4)) z2) (/ z1 z2)) z2))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (z0 <= -7.8e-7) {
		tmp = ((-log((1.0 - z0)) / (((z1 / z2) * z4) + ((z3 / z4) * z2))) * z4) * z2;
	} else {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if (z0 <= (-7.8d-7)) then
        tmp = ((-log((1.0d0 - z0)) / (((z1 / z2) * z4) + ((z3 / z4) * z2))) * z4) * z2
    else
        tmp = ((-1.0d0) * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (z0 <= -7.8e-7) {
		tmp = ((-Math.log((1.0 - z0)) / (((z1 / z2) * z4) + ((z3 / z4) * z2))) * z4) * z2;
	} else {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if z0 <= -7.8e-7:
		tmp = ((-math.log((1.0 - z0)) / (((z1 / z2) * z4) + ((z3 / z4) * z2))) * z4) * z2
	else:
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (z0 <= -7.8e-7)
		tmp = Float64(Float64(Float64(Float64(-log(Float64(1.0 - z0))) / Float64(Float64(Float64(z1 / z2) * z4) + Float64(Float64(z3 / z4) * z2))) * z4) * z2);
	else
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(Float64(Float64(z3 / Float64(Float64(-z4) * z4)) * z2) - Float64(z1 / z2)) / z2));
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if (z0 <= -7.8e-7)
		tmp = ((-log((1.0 - z0)) / (((z1 / z2) * z4) + ((z3 / z4) * z2))) * z4) * z2;
	else
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[z0, -7.8e-7], N[(N[(N[((-N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision]) / N[(N[(N[(z1 / z2), $MachinePrecision] * z4), $MachinePrecision] + N[(N[(z3 / z4), $MachinePrecision] * z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * z4), $MachinePrecision] * z2), $MachinePrecision], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] * z2), $MachinePrecision] - N[(z1 / z2), $MachinePrecision]), $MachinePrecision] / z2), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if z0 < -7.8000000000000005e-7

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. mult-flip N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\log \left(1 - z0\right)\right)\right) \cdot \frac{1}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      4. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\log \left(1 - z0\right)\right)\right) \cdot \frac{1}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      5. lower-neg.f64 N/A

         \[\leadsto \color{blue}{\left(-\log \left(1 - z0\right)\right)} \cdot \frac{1}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      6. lift--.f64 N/A

         \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \frac{1}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      7. sub-negate-rev N/A

         \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \frac{1}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      8. lift-/.f64 N/A

         \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \frac{1}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      9. frac-2neg N/A

         \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \frac{1}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\mathsf{neg}\left(z3\right)}{\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)}}} \]

      10. sub-to-fraction N/A

          \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \frac{1}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot \left(\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)\right) - \left(\mathsf{neg}\left(z3\right)\right)}{\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)}}} \]

      11. div-flip-rev N/A

          \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \color{blue}{\frac{\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)}{\frac{z1}{z2 \cdot z2} \cdot \left(\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)\right) - \left(\mathsf{neg}\left(z3\right)\right)}} \]

      12. lower-/.f64 N/A

          \[\leadsto \left(-\log \left(1 - z0\right)\right) \cdot \color{blue}{\frac{\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)}{\frac{z1}{z2 \cdot z2} \cdot \left(\mathsf{neg}\left(\left(-z4\right) \cdot z4\right)\right) - \left(\mathsf{neg}\left(z3\right)\right)}} \]

   3. Applied rewrites 50.2%

      \[\leadsto \color{blue}{\left(-\log \left(1 - z0\right)\right) \cdot \frac{z4 \cdot z4}{\frac{z1}{z2 \cdot z2} \cdot \left(z4 \cdot z4\right) + z3}} \]

   5. Applied rewrites 70.8%

      \[\leadsto \color{blue}{\left(\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2} \cdot z4 + \frac{z3}{z4} \cdot z2} \cdot z4\right) \cdot z2} \]

   if -7.8000000000000005e-7 < z0

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 3: 87.6% accurate, 0.9× speedup

Math

\[\begin{array}{l} \mathbf{if}\;z0 \leq -1.65 \cdot 10^{-6}:\\ \;\;\;\;\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4\\ \mathbf{else}:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= z0 -1.65e-6)
  (*
   (/ (- (log (- 1.0 z0))) (+ (* (/ z1 (* z2 z2)) z4) (/ z3 z4)))
   z4)
  (/ (* -1.0 z0) (/ (- (* (/ z3 (* (- z4) z4)) z2) (/ z1 z2)) z2))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (z0 <= -1.65e-6) {
		tmp = (-log((1.0 - z0)) / (((z1 / (z2 * z2)) * z4) + (z3 / z4))) * z4;
	} else {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if (z0 <= (-1.65d-6)) then
        tmp = (-log((1.0d0 - z0)) / (((z1 / (z2 * z2)) * z4) + (z3 / z4))) * z4
    else
        tmp = ((-1.0d0) * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (z0 <= -1.65e-6) {
		tmp = (-Math.log((1.0 - z0)) / (((z1 / (z2 * z2)) * z4) + (z3 / z4))) * z4;
	} else {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if z0 <= -1.65e-6:
		tmp = (-math.log((1.0 - z0)) / (((z1 / (z2 * z2)) * z4) + (z3 / z4))) * z4
	else:
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (z0 <= -1.65e-6)
		tmp = Float64(Float64(Float64(-log(Float64(1.0 - z0))) / Float64(Float64(Float64(z1 / Float64(z2 * z2)) * z4) + Float64(z3 / z4))) * z4);
	else
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(Float64(Float64(z3 / Float64(Float64(-z4) * z4)) * z2) - Float64(z1 / z2)) / z2));
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if (z0 <= -1.65e-6)
		tmp = (-log((1.0 - z0)) / (((z1 / (z2 * z2)) * z4) + (z3 / z4))) * z4;
	else
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[z0, -1.65e-6], N[(N[((-N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision]) / N[(N[(N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision] * z4), $MachinePrecision] + N[(z3 / z4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * z4), $MachinePrecision], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] * z2), $MachinePrecision] - N[(z1 / z2), $MachinePrecision]), $MachinePrecision] / z2), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if z0 < -1.6500000000000001e-6

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   if -1.6500000000000001e-6 < z0

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 4: 78.2% accurate, 0.6× speedup

Math

\[\begin{array}{l} t_0 := \log \left(1 - z0\right)\\ \mathbf{if}\;t\_0 \leq 250:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}\\ \mathbf{else}:\\ \;\;\;\;\left(-t\_0 \cdot \frac{z4}{z3}\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (log (- 1.0 z0))))
  (if (<= t_0 250.0)
    (/ (* -1.0 z0) (/ (- (* (/ z3 (* (- z4) z4)) z2) (/ z1 z2)) z2))
    (* (- (* t_0 (/ z4 z3))) z4))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = log((1.0 - z0));
	double tmp;
	if (t_0 <= 250.0) {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	} else {
		tmp = -(t_0 * (z4 / z3)) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: tmp
    t_0 = log((1.0d0 - z0))
    if (t_0 <= 250.0d0) then
        tmp = ((-1.0d0) * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
    else
        tmp = -(t_0 * (z4 / z3)) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = Math.log((1.0 - z0));
	double tmp;
	if (t_0 <= 250.0) {
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	} else {
		tmp = -(t_0 * (z4 / z3)) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = math.log((1.0 - z0))
	tmp = 0
	if t_0 <= 250.0:
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2)
	else:
		tmp = -(t_0 * (z4 / z3)) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = log(Float64(1.0 - z0))
	tmp = 0.0
	if (t_0 <= 250.0)
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(Float64(Float64(z3 / Float64(Float64(-z4) * z4)) * z2) - Float64(z1 / z2)) / z2));
	else
		tmp = Float64(Float64(-Float64(t_0 * Float64(z4 / z3))) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = log((1.0 - z0));
	tmp = 0.0;
	if (t_0 <= 250.0)
		tmp = (-1.0 * z0) / ((((z3 / (-z4 * z4)) * z2) - (z1 / z2)) / z2);
	else
		tmp = -(t_0 * (z4 / z3)) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$0, 250.0], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] * z2), $MachinePrecision] - N[(z1 / z2), $MachinePrecision]), $MachinePrecision] / z2), $MachinePrecision]), $MachinePrecision], N[((-N[(t$95$0 * N[(z4 / z3), $MachinePrecision]), $MachinePrecision]) * z4), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if (log.f64 (-.f64 #s(literal 1 binary64) z0)) < 250

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

   if 250 < (log.f64 (-.f64 #s(literal 1 binary64) z0))

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   7. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. mul-1-neg N/A

         \[\leadsto \left(\mathsf{neg}\left(\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)\right) \cdot z4 \]

      3. lower-neg.f64 59.7%

         \[\leadsto \left(-\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lift-/.f64 N/A

         \[\leadsto \left(-\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lift-*.f64 N/A

         \[\leadsto \left(-\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      6. lift-log.f64 N/A

         \[\leadsto \left(-\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      7. lift--.f64 N/A

         \[\leadsto \left(-\frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      8. *-commutative N/A

         \[\leadsto \left(-\frac{\log \left(1 - z0\right) \cdot z4}{z3}\right) \cdot z4 \]

      9. associate-/l* N/A

         \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      10. lower-/.f32 N/A

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      11. lower-unsound-/.f32 N/A

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      12. lower-*.f64 N/A

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      13. lift--.f64 N/A

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      14. lift-log.f64 N/A

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

      15. lower-unsound-/.f64 56.6%

          \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]

   8. Applied rewrites 56.6%

      \[\leadsto \left(-\log \left(1 - z0\right) \cdot \frac{z4}{z3}\right) \cdot z4 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 5: 77.2% accurate, 1.6× speedup

Math

\[\begin{array}{l} \mathbf{if}\;\left|z2\right| \leq 9 \cdot 10^{+208}:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{\frac{1}{\frac{\left|z2\right|}{\left(\left|z2\right| \cdot \frac{z3}{\left(-z4\right) \cdot z4}\right) \cdot \left|z2\right| - z1}}}{\left|z2\right|}}\\ \mathbf{else}:\\ \;\;\;\;\left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(-0.5 \cdot z4 + -0.3333333333333333 \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= (fabs z2) 9e+208)
  (/
   (* -1.0 z0)
   (/
    (/
     1.0
     (/
      (fabs z2)
      (- (* (* (fabs z2) (/ z3 (* (- z4) z4))) (fabs z2)) z1)))
    (fabs z2)))
  (*
   (*
    -1.0
    (/
     (*
      z0
      (+
       (* -1.0 z4)
       (* z0 (+ (* -0.5 z4) (* -0.3333333333333333 (* z0 z4))))))
     z3))
   z4)))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (fabs(z2) <= 9e+208) {
		tmp = (-1.0 * z0) / ((1.0 / (fabs(z2) / (((fabs(z2) * (z3 / (-z4 * z4))) * fabs(z2)) - z1))) / fabs(z2));
	} else {
		tmp = (-1.0 * ((z0 * ((-1.0 * z4) + (z0 * ((-0.5 * z4) + (-0.3333333333333333 * (z0 * z4)))))) / z3)) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if (abs(z2) <= 9d+208) then
        tmp = ((-1.0d0) * z0) / ((1.0d0 / (abs(z2) / (((abs(z2) * (z3 / (-z4 * z4))) * abs(z2)) - z1))) / abs(z2))
    else
        tmp = ((-1.0d0) * ((z0 * (((-1.0d0) * z4) + (z0 * (((-0.5d0) * z4) + ((-0.3333333333333333d0) * (z0 * z4)))))) / z3)) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (Math.abs(z2) <= 9e+208) {
		tmp = (-1.0 * z0) / ((1.0 / (Math.abs(z2) / (((Math.abs(z2) * (z3 / (-z4 * z4))) * Math.abs(z2)) - z1))) / Math.abs(z2));
	} else {
		tmp = (-1.0 * ((z0 * ((-1.0 * z4) + (z0 * ((-0.5 * z4) + (-0.3333333333333333 * (z0 * z4)))))) / z3)) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if math.fabs(z2) <= 9e+208:
		tmp = (-1.0 * z0) / ((1.0 / (math.fabs(z2) / (((math.fabs(z2) * (z3 / (-z4 * z4))) * math.fabs(z2)) - z1))) / math.fabs(z2))
	else:
		tmp = (-1.0 * ((z0 * ((-1.0 * z4) + (z0 * ((-0.5 * z4) + (-0.3333333333333333 * (z0 * z4)))))) / z3)) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (abs(z2) <= 9e+208)
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(1.0 / Float64(abs(z2) / Float64(Float64(Float64(abs(z2) * Float64(z3 / Float64(Float64(-z4) * z4))) * abs(z2)) - z1))) / abs(z2)));
	else
		tmp = Float64(Float64(-1.0 * Float64(Float64(z0 * Float64(Float64(-1.0 * z4) + Float64(z0 * Float64(Float64(-0.5 * z4) + Float64(-0.3333333333333333 * Float64(z0 * z4)))))) / z3)) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if (abs(z2) <= 9e+208)
		tmp = (-1.0 * z0) / ((1.0 / (abs(z2) / (((abs(z2) * (z3 / (-z4 * z4))) * abs(z2)) - z1))) / abs(z2));
	else
		tmp = (-1.0 * ((z0 * ((-1.0 * z4) + (z0 * ((-0.5 * z4) + (-0.3333333333333333 * (z0 * z4)))))) / z3)) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[N[Abs[z2], $MachinePrecision], 9e+208], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(1.0 / N[(N[Abs[z2], $MachinePrecision] / N[(N[(N[(N[Abs[z2], $MachinePrecision] * N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision] - z1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(-1.0 * N[(N[(z0 * N[(N[(-1.0 * z4), $MachinePrecision] + N[(z0 * N[(N[(-0.5 * z4), $MachinePrecision] + N[(-0.3333333333333333 * N[(z0 * z4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z3), $MachinePrecision]), $MachinePrecision] * z4), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if z2 < 9.0000000000000003e208

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]
   7. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \color{blue}{\frac{z1}{z2}}}{z2}} \]

      3. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1}{z2}}}{z2}} \]

      4. div-flip N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{1}{\frac{z2}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1}}}}{z2}} \]

      5. lower-unsound-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{1}{\frac{z2}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1}}}}{z2}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right)} \cdot z2 - z1}}}{z2}} \]

      7. associate-*l* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot \left(z2 \cdot z2\right)} - z1}}}{z2}} \]

      8. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot \color{blue}{\left(z2 \cdot z2\right)} - z1}}}{z2}} \]

      9. lower-unsound-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\color{blue}{\frac{z2}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot \left(z2 \cdot z2\right) - z1}}}}{z2}} \]

      10. lift-*.f64 N/A

          \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot \color{blue}{\left(z2 \cdot z2\right)} - z1}}}{z2}} \]

      11. associate-*l* N/A

          \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2} - z1}}}{z2}} \]

      12. lift-*.f64 N/A

          \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right)} \cdot z2 - z1}}}{z2}} \]

      13. lower--.f64 N/A

          \[\leadsto \frac{-1 \cdot z0}{\frac{\frac{1}{\frac{z2}{\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1}}}}{z2}} \]

   8. Applied rewrites 74.4%

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{1}{\frac{z2}{\left(z2 \cdot \frac{z3}{\left(-z4\right) \cdot z4}\right) \cdot z2 - z1}}}}{z2}} \]

   if 9.0000000000000003e208 < z2

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]
   8. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      2. lower-+.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      4. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      5. lower-+.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      6. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      7. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(\frac{-1}{2} \cdot z4 + \frac{-1}{3} \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

      8. lower-*.f64 43.3%

         \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(-0.5 \cdot z4 + -0.3333333333333333 \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]

   9. Applied rewrites 43.3%

      \[\leadsto \left(-1 \cdot \frac{z0 \cdot \left(-1 \cdot z4 + z0 \cdot \left(-0.5 \cdot z4 + -0.3333333333333333 \cdot \left(z0 \cdot z4\right)\right)\right)}{z3}\right) \cdot z4 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 6: 77.0% accurate, 2.1× speedup

Math

\[\begin{array}{l} t_0 := \frac{z3}{\left(-z4\right) \cdot z4}\\ \mathbf{if}\;\left|z2\right| \leq 4 \cdot 10^{-118}:\\ \;\;\;\;\left(\frac{-z0}{\left(\left|z2\right| \cdot t\_0\right) \cdot \left|z2\right| - z1} \cdot \left|z2\right|\right) \cdot \left|z2\right|\\ \mathbf{elif}\;\left|z2\right| \leq 3.6 \cdot 10^{+199}:\\ \;\;\;\;\frac{-\left(-z0\right)}{\frac{z1}{\left|z2\right| \cdot \left|z2\right|} - t\_0}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (/ z3 (* (- z4) z4))))
  (if (<= (fabs z2) 4e-118)
    (*
     (* (/ (- z0) (- (* (* (fabs z2) t_0) (fabs z2)) z1)) (fabs z2))
     (fabs z2))
    (if (<= (fabs z2) 3.6e+199)
      (/ (- (- z0)) (- (/ z1 (* (fabs z2) (fabs z2))) t_0))
      (* (* (/ z4 z3) z0) z4)))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double tmp;
	if (fabs(z2) <= 4e-118) {
		tmp = ((-z0 / (((fabs(z2) * t_0) * fabs(z2)) - z1)) * fabs(z2)) * fabs(z2);
	} else if (fabs(z2) <= 3.6e+199) {
		tmp = -(-z0) / ((z1 / (fabs(z2) * fabs(z2))) - t_0);
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: tmp
    t_0 = z3 / (-z4 * z4)
    if (abs(z2) <= 4d-118) then
        tmp = ((-z0 / (((abs(z2) * t_0) * abs(z2)) - z1)) * abs(z2)) * abs(z2)
    else if (abs(z2) <= 3.6d+199) then
        tmp = -(-z0) / ((z1 / (abs(z2) * abs(z2))) - t_0)
    else
        tmp = ((z4 / z3) * z0) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double tmp;
	if (Math.abs(z2) <= 4e-118) {
		tmp = ((-z0 / (((Math.abs(z2) * t_0) * Math.abs(z2)) - z1)) * Math.abs(z2)) * Math.abs(z2);
	} else if (Math.abs(z2) <= 3.6e+199) {
		tmp = -(-z0) / ((z1 / (Math.abs(z2) * Math.abs(z2))) - t_0);
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = z3 / (-z4 * z4)
	tmp = 0
	if math.fabs(z2) <= 4e-118:
		tmp = ((-z0 / (((math.fabs(z2) * t_0) * math.fabs(z2)) - z1)) * math.fabs(z2)) * math.fabs(z2)
	elif math.fabs(z2) <= 3.6e+199:
		tmp = -(-z0) / ((z1 / (math.fabs(z2) * math.fabs(z2))) - t_0)
	else:
		tmp = ((z4 / z3) * z0) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = Float64(z3 / Float64(Float64(-z4) * z4))
	tmp = 0.0
	if (abs(z2) <= 4e-118)
		tmp = Float64(Float64(Float64(Float64(-z0) / Float64(Float64(Float64(abs(z2) * t_0) * abs(z2)) - z1)) * abs(z2)) * abs(z2));
	elseif (abs(z2) <= 3.6e+199)
		tmp = Float64(Float64(-Float64(-z0)) / Float64(Float64(z1 / Float64(abs(z2) * abs(z2))) - t_0));
	else
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = z3 / (-z4 * z4);
	tmp = 0.0;
	if (abs(z2) <= 4e-118)
		tmp = ((-z0 / (((abs(z2) * t_0) * abs(z2)) - z1)) * abs(z2)) * abs(z2);
	elseif (abs(z2) <= 3.6e+199)
		tmp = -(-z0) / ((z1 / (abs(z2) * abs(z2))) - t_0);
	else
		tmp = ((z4 / z3) * z0) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[z2], $MachinePrecision], 4e-118], N[(N[(N[((-z0) / N[(N[(N[(N[Abs[z2], $MachinePrecision] * t$95$0), $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision] - z1), $MachinePrecision]), $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Abs[z2], $MachinePrecision], 3.6e+199], N[((-(-z0)) / N[(N[(z1 / N[(N[Abs[z2], $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - t$95$0), $MachinePrecision]), $MachinePrecision], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision]]]]

Derivation

1. Split input into 3 regimes

2. if z2 < 3.9999999999999999e-118

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]
   7. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      3. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}} \cdot z2} \]

      4. lower-*.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}} \cdot z2} \]

   8. Applied rewrites 69.1%

      \[\leadsto \color{blue}{\left(\frac{-z0}{\left(z2 \cdot \frac{z3}{\left(-z4\right) \cdot z4}\right) \cdot z2 - z1} \cdot z2\right) \cdot z2} \]

   if 3.9999999999999999e-118 < z2 < 3.6e199

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(-1 \cdot z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(-1 \cdot z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      4. lower-neg.f64 N/A

         \[\leadsto \frac{\color{blue}{--1 \cdot z0}}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{--1 \cdot \color{blue}{z0}}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      6. mul-1-neg N/A

         \[\leadsto \frac{-\left(\mathsf{neg}\left(z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      7. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      8. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{neg}\left(\mathsf{Rewrite=>}\left(lift--.f64, \left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)\right)} \]

      9. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{Rewrite<=}\left(sub-negate-rev, \left(\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}\right)\right)} \]

      10. lower-neg.f64 N/A

          \[\leadsto \frac{-\left(-z0\right)}{\mathsf{Rewrite=>}\left(lower--.f64, \left(\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}\right)\right)} \]

   6. Applied rewrites 71.8%

      \[\leadsto \color{blue}{\frac{-\left(-z0\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

   if 3.6e199 < z2

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 7: 76.7% accurate, 2.1× speedup

Math

\[\begin{array}{l} \mathbf{if}\;\left|z2\right| \leq 4.1 \cdot 10^{-118}:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{\left|z2\right|}}{\left|z2\right|}}\\ \mathbf{elif}\;\left|z2\right| \leq 9 \cdot 10^{+208}:\\ \;\;\;\;\frac{-\left(-z0\right)}{\frac{z1}{\left|z2\right| \cdot \left|z2\right|} - \frac{z3}{\left(-z4\right) \cdot z4}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= (fabs z2) 4.1e-118)
  (/ (* -1.0 z0) (/ (* -1.0 (/ z1 (fabs z2))) (fabs z2)))
  (if (<= (fabs z2) 9e+208)
    (/
     (- (- z0))
     (- (/ z1 (* (fabs z2) (fabs z2))) (/ z3 (* (- z4) z4))))
    (* (* (/ z4 z3) z0) z4))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (fabs(z2) <= 4.1e-118) {
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / fabs(z2))) / fabs(z2));
	} else if (fabs(z2) <= 9e+208) {
		tmp = -(-z0) / ((z1 / (fabs(z2) * fabs(z2))) - (z3 / (-z4 * z4)));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if (abs(z2) <= 4.1d-118) then
        tmp = ((-1.0d0) * z0) / (((-1.0d0) * (z1 / abs(z2))) / abs(z2))
    else if (abs(z2) <= 9d+208) then
        tmp = -(-z0) / ((z1 / (abs(z2) * abs(z2))) - (z3 / (-z4 * z4)))
    else
        tmp = ((z4 / z3) * z0) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (Math.abs(z2) <= 4.1e-118) {
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / Math.abs(z2))) / Math.abs(z2));
	} else if (Math.abs(z2) <= 9e+208) {
		tmp = -(-z0) / ((z1 / (Math.abs(z2) * Math.abs(z2))) - (z3 / (-z4 * z4)));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if math.fabs(z2) <= 4.1e-118:
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / math.fabs(z2))) / math.fabs(z2))
	elif math.fabs(z2) <= 9e+208:
		tmp = -(-z0) / ((z1 / (math.fabs(z2) * math.fabs(z2))) - (z3 / (-z4 * z4)))
	else:
		tmp = ((z4 / z3) * z0) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (abs(z2) <= 4.1e-118)
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(-1.0 * Float64(z1 / abs(z2))) / abs(z2)));
	elseif (abs(z2) <= 9e+208)
		tmp = Float64(Float64(-Float64(-z0)) / Float64(Float64(z1 / Float64(abs(z2) * abs(z2))) - Float64(z3 / Float64(Float64(-z4) * z4))));
	else
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if (abs(z2) <= 4.1e-118)
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / abs(z2))) / abs(z2));
	elseif (abs(z2) <= 9e+208)
		tmp = -(-z0) / ((z1 / (abs(z2) * abs(z2))) - (z3 / (-z4 * z4)));
	else
		tmp = ((z4 / z3) * z0) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[N[Abs[z2], $MachinePrecision], 4.1e-118], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(-1.0 * N[(z1 / N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Abs[z2], $MachinePrecision], 9e+208], N[((-(-z0)) / N[(N[(z1 / N[(N[Abs[z2], $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if z2 < 4.1000000000000003e-118

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

   7. Taylor expanded in z3 around 0

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]
   8. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \color{blue}{\frac{z1}{z2}}}{z2}} \]

      2. lower-/.f64 47.7%

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{\color{blue}{z2}}}{z2}} \]

   9. Applied rewrites 47.7%

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]

   if 4.1000000000000003e-118 < z2 < 9.0000000000000003e208

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(-1 \cdot z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lower-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(-1 \cdot z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      4. lower-neg.f64 N/A

         \[\leadsto \frac{\color{blue}{--1 \cdot z0}}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      5. lift-*.f64 N/A

         \[\leadsto \frac{--1 \cdot \color{blue}{z0}}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      6. mul-1-neg N/A

         \[\leadsto \frac{-\left(\mathsf{neg}\left(z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      7. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)} \]

      8. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{neg}\left(\mathsf{Rewrite=>}\left(lift--.f64, \left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)\right)} \]

      9. lower-neg.f64 N/A

         \[\leadsto \frac{-\left(-z0\right)}{\mathsf{Rewrite<=}\left(sub-negate-rev, \left(\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}\right)\right)} \]

      10. lower-neg.f64 N/A

          \[\leadsto \frac{-\left(-z0\right)}{\mathsf{Rewrite=>}\left(lower--.f64, \left(\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}\right)\right)} \]

   6. Applied rewrites 71.8%

      \[\leadsto \color{blue}{\frac{-\left(-z0\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

   if 9.0000000000000003e208 < z2

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 8: 76.5% accurate, 0.7× speedup

Math

\[\begin{array}{l} t_0 := \frac{z3}{\left(-z4\right) \cdot z4}\\ \mathbf{if}\;\frac{\log \left(1 - z0\right)}{t\_0 - \frac{z1}{z2 \cdot z2}} \leq 5 \cdot 10^{+16}:\\ \;\;\;\;\frac{-1 \cdot z0}{t\_0 - \frac{\frac{z1}{z2}}{z2}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (/ z3 (* (- z4) z4))))
  (if (<= (/ (log (- 1.0 z0)) (- t_0 (/ z1 (* z2 z2)))) 5e+16)
    (/ (* -1.0 z0) (- t_0 (/ (/ z1 z2) z2)))
    (* (* (/ z4 z3) z0) z4))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double tmp;
	if ((log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)))) <= 5e+16) {
		tmp = (-1.0 * z0) / (t_0 - ((z1 / z2) / z2));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: tmp
    t_0 = z3 / (-z4 * z4)
    if ((log((1.0d0 - z0)) / (t_0 - (z1 / (z2 * z2)))) <= 5d+16) then
        tmp = ((-1.0d0) * z0) / (t_0 - ((z1 / z2) / z2))
    else
        tmp = ((z4 / z3) * z0) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double tmp;
	if ((Math.log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)))) <= 5e+16) {
		tmp = (-1.0 * z0) / (t_0 - ((z1 / z2) / z2));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = z3 / (-z4 * z4)
	tmp = 0
	if (math.log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)))) <= 5e+16:
		tmp = (-1.0 * z0) / (t_0 - ((z1 / z2) / z2))
	else:
		tmp = ((z4 / z3) * z0) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = Float64(z3 / Float64(Float64(-z4) * z4))
	tmp = 0.0
	if (Float64(log(Float64(1.0 - z0)) / Float64(t_0 - Float64(z1 / Float64(z2 * z2)))) <= 5e+16)
		tmp = Float64(Float64(-1.0 * z0) / Float64(t_0 - Float64(Float64(z1 / z2) / z2)));
	else
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = z3 / (-z4 * z4);
	tmp = 0.0;
	if ((log((1.0 - z0)) / (t_0 - (z1 / (z2 * z2)))) <= 5e+16)
		tmp = (-1.0 * z0) / (t_0 - ((z1 / z2) / z2));
	else
		tmp = ((z4 / z3) * z0) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[Log[N[(1.0 - z0), $MachinePrecision]], $MachinePrecision] / N[(t$95$0 - N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 5e+16], N[(N[(-1.0 * z0), $MachinePrecision] / N[(t$95$0 - N[(N[(z1 / z2), $MachinePrecision] / z2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision]]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2)))) < 5e16

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      3. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      4. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      5. lower-/.f64 74.9%

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

   6. Applied rewrites 74.9%

      \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

   if 5e16 < (/.f64 (log.f64 (-.f64 #s(literal 1 binary64) z0)) (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2))))

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 9: 75.8% accurate, 2.1× speedup

Math

\[\begin{array}{l} \mathbf{if}\;\left|z2\right| \leq 9.2 \cdot 10^{-119}:\\ \;\;\;\;\frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{\left|z2\right|}}{\left|z2\right|}}\\ \mathbf{elif}\;\left|z2\right| \leq 3.6 \cdot 10^{+199}:\\ \;\;\;\;\frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\left|z2\right| \cdot \left|z2\right|}}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= (fabs z2) 9.2e-119)
  (/ (* -1.0 z0) (/ (* -1.0 (/ z1 (fabs z2))) (fabs z2)))
  (if (<= (fabs z2) 3.6e+199)
    (/ (- z0) (- (/ z3 (* (- z4) z4)) (/ z1 (* (fabs z2) (fabs z2)))))
    (* (* (/ z4 z3) z0) z4))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (fabs(z2) <= 9.2e-119) {
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / fabs(z2))) / fabs(z2));
	} else if (fabs(z2) <= 3.6e+199) {
		tmp = -z0 / ((z3 / (-z4 * z4)) - (z1 / (fabs(z2) * fabs(z2))));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if (abs(z2) <= 9.2d-119) then
        tmp = ((-1.0d0) * z0) / (((-1.0d0) * (z1 / abs(z2))) / abs(z2))
    else if (abs(z2) <= 3.6d+199) then
        tmp = -z0 / ((z3 / (-z4 * z4)) - (z1 / (abs(z2) * abs(z2))))
    else
        tmp = ((z4 / z3) * z0) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if (Math.abs(z2) <= 9.2e-119) {
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / Math.abs(z2))) / Math.abs(z2));
	} else if (Math.abs(z2) <= 3.6e+199) {
		tmp = -z0 / ((z3 / (-z4 * z4)) - (z1 / (Math.abs(z2) * Math.abs(z2))));
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if math.fabs(z2) <= 9.2e-119:
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / math.fabs(z2))) / math.fabs(z2))
	elif math.fabs(z2) <= 3.6e+199:
		tmp = -z0 / ((z3 / (-z4 * z4)) - (z1 / (math.fabs(z2) * math.fabs(z2))))
	else:
		tmp = ((z4 / z3) * z0) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (abs(z2) <= 9.2e-119)
		tmp = Float64(Float64(-1.0 * z0) / Float64(Float64(-1.0 * Float64(z1 / abs(z2))) / abs(z2)));
	elseif (abs(z2) <= 3.6e+199)
		tmp = Float64(Float64(-z0) / Float64(Float64(z3 / Float64(Float64(-z4) * z4)) - Float64(z1 / Float64(abs(z2) * abs(z2)))));
	else
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if (abs(z2) <= 9.2e-119)
		tmp = (-1.0 * z0) / ((-1.0 * (z1 / abs(z2))) / abs(z2));
	elseif (abs(z2) <= 3.6e+199)
		tmp = -z0 / ((z3 / (-z4 * z4)) - (z1 / (abs(z2) * abs(z2))));
	else
		tmp = ((z4 / z3) * z0) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[N[Abs[z2], $MachinePrecision], 9.2e-119], N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(-1.0 * N[(z1 / N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[Abs[z2], $MachinePrecision], 3.6e+199], N[((-z0) / N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] - N[(z1 / N[(N[Abs[z2], $MachinePrecision] * N[Abs[z2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision]]]

Derivation

1. Split input into 3 regimes

2. if z2 < 9.1999999999999997e-119

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

   7. Taylor expanded in z3 around 0

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]
   8. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \color{blue}{\frac{z1}{z2}}}{z2}} \]

      2. lower-/.f64 47.7%

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{\color{blue}{z2}}}{z2}} \]

   9. Applied rewrites 47.7%

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]

   if 9.1999999999999997e-119 < z2 < 3.6e199

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      2. mul-1-neg N/A

         \[\leadsto \frac{\mathsf{neg}\left(z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      3. lower-neg.f64 71.9%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   6. Applied rewrites 71.9%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   if 3.6e199 < z2

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 10: 75.4% accurate, 1.5× speedup

Math

\[\begin{array}{l} t_0 := \frac{z3}{\left(-z4\right) \cdot z4}\\ t_1 := \frac{z1}{z2 \cdot z2}\\ \mathbf{if}\;t\_0 - t\_1 \leq 5 \cdot 10^{+171}:\\ \;\;\;\;\frac{-z0}{\frac{\frac{-z3}{z4}}{z4} - t\_1}\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{-z0}{\left(z2 \cdot t\_0\right) \cdot z2 - z1} \cdot z2\right) \cdot z2\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (/ z3 (* (- z4) z4))) (t_1 (/ z1 (* z2 z2))))
  (if (<= (- t_0 t_1) 5e+171)
    (/ (- z0) (- (/ (/ (- z3) z4) z4) t_1))
    (* (* (/ (- z0) (- (* (* z2 t_0) z2) z1)) z2) z2))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double t_1 = z1 / (z2 * z2);
	double tmp;
	if ((t_0 - t_1) <= 5e+171) {
		tmp = -z0 / (((-z3 / z4) / z4) - t_1);
	} else {
		tmp = ((-z0 / (((z2 * t_0) * z2) - z1)) * z2) * z2;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: tmp
    t_0 = z3 / (-z4 * z4)
    t_1 = z1 / (z2 * z2)
    if ((t_0 - t_1) <= 5d+171) then
        tmp = -z0 / (((-z3 / z4) / z4) - t_1)
    else
        tmp = ((-z0 / (((z2 * t_0) * z2) - z1)) * z2) * z2
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z3 / (-z4 * z4);
	double t_1 = z1 / (z2 * z2);
	double tmp;
	if ((t_0 - t_1) <= 5e+171) {
		tmp = -z0 / (((-z3 / z4) / z4) - t_1);
	} else {
		tmp = ((-z0 / (((z2 * t_0) * z2) - z1)) * z2) * z2;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = z3 / (-z4 * z4)
	t_1 = z1 / (z2 * z2)
	tmp = 0
	if (t_0 - t_1) <= 5e+171:
		tmp = -z0 / (((-z3 / z4) / z4) - t_1)
	else:
		tmp = ((-z0 / (((z2 * t_0) * z2) - z1)) * z2) * z2
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = Float64(z3 / Float64(Float64(-z4) * z4))
	t_1 = Float64(z1 / Float64(z2 * z2))
	tmp = 0.0
	if (Float64(t_0 - t_1) <= 5e+171)
		tmp = Float64(Float64(-z0) / Float64(Float64(Float64(Float64(-z3) / z4) / z4) - t_1));
	else
		tmp = Float64(Float64(Float64(Float64(-z0) / Float64(Float64(Float64(z2 * t_0) * z2) - z1)) * z2) * z2);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = z3 / (-z4 * z4);
	t_1 = z1 / (z2 * z2);
	tmp = 0.0;
	if ((t_0 - t_1) <= 5e+171)
		tmp = -z0 / (((-z3 / z4) / z4) - t_1);
	else
		tmp = ((-z0 / (((z2 * t_0) * z2) - z1)) * z2) * z2;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t$95$0 - t$95$1), $MachinePrecision], 5e+171], N[((-z0) / N[(N[(N[((-z3) / z4), $MachinePrecision] / z4), $MachinePrecision] - t$95$1), $MachinePrecision]), $MachinePrecision], N[(N[(N[((-z0) / N[(N[(N[(z2 * t$95$0), $MachinePrecision] * z2), $MachinePrecision] - z1), $MachinePrecision]), $MachinePrecision] * z2), $MachinePrecision] * z2), $MachinePrecision]]]]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2))) < 5.0000000000000004e171

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      2. mul-1-neg N/A

         \[\leadsto \frac{\mathsf{neg}\left(z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      3. lower-neg.f64 71.9%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   6. Applied rewrites 71.9%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   7. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{-z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}} - \frac{z1}{z2 \cdot z2}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}} - \frac{z1}{z2 \cdot z2}} \]

      3. associate-/r* N/A

         \[\leadsto \frac{-z0}{\color{blue}{\frac{\frac{z3}{-z4}}{z4}} - \frac{z1}{z2 \cdot z2}} \]

      4. lower-/.f64 N/A

         \[\leadsto \frac{-z0}{\color{blue}{\frac{\frac{z3}{-z4}}{z4}} - \frac{z1}{z2 \cdot z2}} \]

      5. lift-neg.f64 N/A

         \[\leadsto \frac{-z0}{\frac{\frac{z3}{\color{blue}{\mathsf{neg}\left(z4\right)}}}{z4} - \frac{z1}{z2 \cdot z2}} \]

      6. distribute-neg-frac2 N/A

         \[\leadsto \frac{-z0}{\frac{\color{blue}{\mathsf{neg}\left(\frac{z3}{z4}\right)}}{z4} - \frac{z1}{z2 \cdot z2}} \]

      7. distribute-neg-frac N/A

         \[\leadsto \frac{-z0}{\frac{\color{blue}{\frac{\mathsf{neg}\left(z3\right)}{z4}}}{z4} - \frac{z1}{z2 \cdot z2}} \]

      8. lower-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{\color{blue}{\frac{\mathsf{neg}\left(z3\right)}{z4}}}{z4} - \frac{z1}{z2 \cdot z2}} \]

      9. lower-neg.f64 75.1%

         \[\leadsto \frac{-z0}{\frac{\frac{\color{blue}{-z3}}{z4}}{z4} - \frac{z1}{z2 \cdot z2}} \]

   8. Applied rewrites 75.1%

      \[\leadsto \frac{-z0}{\color{blue}{\frac{\frac{-z3}{z4}}{z4}} - \frac{z1}{z2 \cdot z2}} \]

   if 5.0000000000000004e171 < (-.f64 (/.f64 z3 (*.f64 (neg.f64 z4) z4)) (/.f64 z1 (*.f64 z2 z2)))

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]
   7. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      3. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}} \cdot z2} \]

      4. lower-*.f64 N/A

         \[\leadsto \color{blue}{\frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}} \cdot z2} \]

   8. Applied rewrites 69.1%

      \[\leadsto \color{blue}{\left(\frac{-z0}{\left(z2 \cdot \frac{z3}{\left(-z4\right) \cdot z4}\right) \cdot z2 - z1} \cdot z2\right) \cdot z2} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 11: 75.3% accurate, 2.3× speedup

Math

\[\begin{array}{l} \mathbf{if}\;z2 \cdot z2 \leq 5 \cdot 10^{+297}:\\ \;\;\;\;\frac{z2 \cdot z2}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1} \cdot \left(-z0\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (if (<= (* z2 z2) 5e+297)
  (* (/ (* z2 z2) (- (* (* (/ z3 (* (- z4) z4)) z2) z2) z1)) (- z0))
  (* (* (/ z4 z3) z0) z4)))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if ((z2 * z2) <= 5e+297) {
		tmp = ((z2 * z2) / ((((z3 / (-z4 * z4)) * z2) * z2) - z1)) * -z0;
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: tmp
    if ((z2 * z2) <= 5d+297) then
        tmp = ((z2 * z2) / ((((z3 / (-z4 * z4)) * z2) * z2) - z1)) * -z0
    else
        tmp = ((z4 / z3) * z0) * z4
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double tmp;
	if ((z2 * z2) <= 5e+297) {
		tmp = ((z2 * z2) / ((((z3 / (-z4 * z4)) * z2) * z2) - z1)) * -z0;
	} else {
		tmp = ((z4 / z3) * z0) * z4;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	tmp = 0
	if (z2 * z2) <= 5e+297:
		tmp = ((z2 * z2) / ((((z3 / (-z4 * z4)) * z2) * z2) - z1)) * -z0
	else:
		tmp = ((z4 / z3) * z0) * z4
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	tmp = 0.0
	if (Float64(z2 * z2) <= 5e+297)
		tmp = Float64(Float64(Float64(z2 * z2) / Float64(Float64(Float64(Float64(z3 / Float64(Float64(-z4) * z4)) * z2) * z2) - z1)) * Float64(-z0));
	else
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	tmp = 0.0;
	if ((z2 * z2) <= 5e+297)
		tmp = ((z2 * z2) / ((((z3 / (-z4 * z4)) * z2) * z2) - z1)) * -z0;
	else
		tmp = ((z4 / z3) * z0) * z4;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := If[LessEqual[N[(z2 * z2), $MachinePrecision], 5e+297], N[(N[(N[(z2 * z2), $MachinePrecision] / N[(N[(N[(N[(z3 / N[((-z4) * z4), $MachinePrecision]), $MachinePrecision] * z2), $MachinePrecision] * z2), $MachinePrecision] - z1), $MachinePrecision]), $MachinePrecision] * (-z0)), $MachinePrecision], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (*.f64 z2 z2) < 4.9999999999999998e297

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      2. mul-1-neg N/A

         \[\leadsto \frac{\mathsf{neg}\left(z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

      3. lower-neg.f64 71.9%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   6. Applied rewrites 71.9%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   7. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      2. lift-*.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      3. associate-/r* N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      4. lift-/.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      5. mult-flip N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2} \cdot \frac{1}{z2}}} \]

      6. lower-*.f64 N/A

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2} \cdot \frac{1}{z2}}} \]

      7. lower-/.f64 74.9%

         \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2} \cdot \color{blue}{\frac{1}{z2}}} \]

   8. Applied rewrites 74.9%

      \[\leadsto \frac{-z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2} \cdot \frac{1}{z2}}} \]

   10. Applied rewrites 62.4%

       \[\leadsto \color{blue}{\frac{z2 \cdot z2}{\left(\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2\right) \cdot z2 - z1} \cdot \left(-z0\right)} \]

   if 4.9999999999999998e297 < (*.f64 z2 z2)

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 12: 67.1% accurate, 1.7× speedup

Math

\[\begin{array}{l} t_0 := \frac{z1}{z2 \cdot z2}\\ t_1 := \frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{z2}}{z2}}\\ \mathbf{if}\;t\_0 \leq -1 \cdot 10^{+23}:\\ \;\;\;\;t\_1\\ \mathbf{elif}\;t\_0 \leq 5 \cdot 10^{+32}:\\ \;\;\;\;\left(\frac{z4}{z3} \cdot z0\right) \cdot z4\\ \mathbf{else}:\\ \;\;\;\;t\_1\\ \end{array} \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (let* ((t_0 (/ z1 (* z2 z2)))
       (t_1 (/ (* -1.0 z0) (/ (* -1.0 (/ z1 z2)) z2))))
  (if (<= t_0 -1e+23)
    t_1
    (if (<= t_0 5e+32) (* (* (/ z4 z3) z0) z4) t_1))))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z1 / (z2 * z2);
	double t_1 = (-1.0 * z0) / ((-1.0 * (z1 / z2)) / z2);
	double tmp;
	if (t_0 <= -1e+23) {
		tmp = t_1;
	} else if (t_0 <= 5e+32) {
		tmp = ((z4 / z3) * z0) * z4;
	} else {
		tmp = t_1;
	}
	return tmp;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    real(8) :: t_0
    real(8) :: t_1
    real(8) :: tmp
    t_0 = z1 / (z2 * z2)
    t_1 = ((-1.0d0) * z0) / (((-1.0d0) * (z1 / z2)) / z2)
    if (t_0 <= (-1d+23)) then
        tmp = t_1
    else if (t_0 <= 5d+32) then
        tmp = ((z4 / z3) * z0) * z4
    else
        tmp = t_1
    end if
    code = tmp
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	double t_0 = z1 / (z2 * z2);
	double t_1 = (-1.0 * z0) / ((-1.0 * (z1 / z2)) / z2);
	double tmp;
	if (t_0 <= -1e+23) {
		tmp = t_1;
	} else if (t_0 <= 5e+32) {
		tmp = ((z4 / z3) * z0) * z4;
	} else {
		tmp = t_1;
	}
	return tmp;
}

Python

def code(z0, z3, z4, z1, z2):
	t_0 = z1 / (z2 * z2)
	t_1 = (-1.0 * z0) / ((-1.0 * (z1 / z2)) / z2)
	tmp = 0
	if t_0 <= -1e+23:
		tmp = t_1
	elif t_0 <= 5e+32:
		tmp = ((z4 / z3) * z0) * z4
	else:
		tmp = t_1
	return tmp

Julia

function code(z0, z3, z4, z1, z2)
	t_0 = Float64(z1 / Float64(z2 * z2))
	t_1 = Float64(Float64(-1.0 * z0) / Float64(Float64(-1.0 * Float64(z1 / z2)) / z2))
	tmp = 0.0
	if (t_0 <= -1e+23)
		tmp = t_1;
	elseif (t_0 <= 5e+32)
		tmp = Float64(Float64(Float64(z4 / z3) * z0) * z4);
	else
		tmp = t_1;
	end
	return tmp
end

MATLAB

function tmp_2 = code(z0, z3, z4, z1, z2)
	t_0 = z1 / (z2 * z2);
	t_1 = (-1.0 * z0) / ((-1.0 * (z1 / z2)) / z2);
	tmp = 0.0;
	if (t_0 <= -1e+23)
		tmp = t_1;
	elseif (t_0 <= 5e+32)
		tmp = ((z4 / z3) * z0) * z4;
	else
		tmp = t_1;
	end
	tmp_2 = tmp;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := Block[{t$95$0 = N[(z1 / N[(z2 * z2), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(-1.0 * z0), $MachinePrecision] / N[(N[(-1.0 * N[(z1 / z2), $MachinePrecision]), $MachinePrecision] / z2), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -1e+23], t$95$1, If[LessEqual[t$95$0, 5e+32], N[(N[(N[(z4 / z3), $MachinePrecision] * z0), $MachinePrecision] * z4), $MachinePrecision], t$95$1]]]]

Derivation

1. Split input into 2 regimes

2. if (/.f64 z1 (*.f64 z2 z2)) < -9.9999999999999992e22 or 4.9999999999999997e32 < (/.f64 z1 (*.f64 z2 z2))

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   2. Taylor expanded in z0 around 0

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   3. Step-by-step derivation

      1. lower-*.f64 71.9%

         \[\leadsto \frac{-1 \cdot \color{blue}{z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]

   4. Applied rewrites 71.9%

      \[\leadsto \frac{\color{blue}{-1 \cdot z0}}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   5. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{z1}{z2 \cdot z2}}} \]

      3. lift-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{\color{blue}{z2 \cdot z2}}} \]

      4. associate-/r* N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \color{blue}{\frac{\frac{z1}{z2}}{z2}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{\color{blue}{\frac{z1}{z2}}}{z2}} \]

      6. sub-to-fraction N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      7. lower-/.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

      8. lower--.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}}{z2}} \]

      9. lower-*.f64 75.5%

         \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2} - \frac{z1}{z2}}{z2}} \]

   6. Applied rewrites 75.5%

      \[\leadsto \frac{-1 \cdot z0}{\color{blue}{\frac{\frac{z3}{\left(-z4\right) \cdot z4} \cdot z2 - \frac{z1}{z2}}{z2}}} \]

   7. Taylor expanded in z3 around 0

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]
   8. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \color{blue}{\frac{z1}{z2}}}{z2}} \]

      2. lower-/.f64 47.7%

         \[\leadsto \frac{-1 \cdot z0}{\frac{-1 \cdot \frac{z1}{\color{blue}{z2}}}{z2}} \]

   9. Applied rewrites 47.7%

      \[\leadsto \frac{-1 \cdot z0}{\frac{\color{blue}{-1 \cdot \frac{z1}{z2}}}{z2}} \]

   if -9.9999999999999992e22 < (/.f64 z1 (*.f64 z2 z2)) < 4.9999999999999997e32

   1. Initial program 65.6%

      \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
   2. Step-by-step derivation

      1. lift-/.f64 N/A

         \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

      2. frac-2neg N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

      3. lift--.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

      4. sub-negate-rev N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

      5. lift-/.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

      6. lift-*.f64 N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

      7. associate-/r* N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

      8. sub-to-fraction N/A

         \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

      9. associate-/r/ N/A

         \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

      10. lower-*.f64 N/A

          \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   3. Applied rewrites 69.2%

      \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

   4. Taylor expanded in z3 around inf

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
   5. Step-by-step derivation

      1. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

      2. lower-/.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

      3. lower-*.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      4. lower-log.f64 N/A

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

      5. lower--.f64 59.7%

         \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   6. Applied rewrites 59.7%

      \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

   7. Taylor expanded in z0 around 0

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   8. Step-by-step derivation

      1. lower-/.f64 N/A

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

      2. lower-*.f64 46.6%

         \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   9. Applied rewrites 46.6%

      \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
   10. Step-by-step derivation

       1. lift-/.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       2. lift-*.f64 N/A

          \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

       3. associate-/l* N/A

          \[\leadsto \left(z0 \cdot \frac{z4}{\color{blue}{z3}}\right) \cdot z4 \]

       4. *-commutative N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       5. lower-*.f64 N/A

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

       6. lower-/.f64 47.0%

          \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]

   11. Applied rewrites 47.0%

       \[\leadsto \left(\frac{z4}{z3} \cdot z0\right) \cdot z4 \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 13: 46.4% accurate, 6.9× speedup

Math

\[\left(z4 \cdot \frac{z0}{z3}\right) \cdot z4 \]

FPCore

(FPCore (z0 z3 z4 z1 z2)
  :precision binary64
  (* (* z4 (/ z0 z3)) z4))

C

double code(double z0, double z3, double z4, double z1, double z2) {
	return (z4 * (z0 / z3)) * z4;
}

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(z0, z3, z4, z1, z2)
use fmin_fmax_functions
    real(8), intent (in) :: z0
    real(8), intent (in) :: z3
    real(8), intent (in) :: z4
    real(8), intent (in) :: z1
    real(8), intent (in) :: z2
    code = (z4 * (z0 / z3)) * z4
end function

Java

public static double code(double z0, double z3, double z4, double z1, double z2) {
	return (z4 * (z0 / z3)) * z4;
}

Python

def code(z0, z3, z4, z1, z2):
	return (z4 * (z0 / z3)) * z4

Julia

function code(z0, z3, z4, z1, z2)
	return Float64(Float64(z4 * Float64(z0 / z3)) * z4)
end

MATLAB

function tmp = code(z0, z3, z4, z1, z2)
	tmp = (z4 * (z0 / z3)) * z4;
end

Wolfram

code[z0_, z3_, z4_, z1_, z2_] := N[(N[(z4 * N[(z0 / z3), $MachinePrecision]), $MachinePrecision] * z4), $MachinePrecision]

Derivation

1. Initial program 65.6%

   \[\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}} \]
2. Step-by-step derivation

   1. lift-/.f64 N/A

      \[\leadsto \color{blue}{\frac{\log \left(1 - z0\right)}{\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}}} \]

   2. frac-2neg N/A

      \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)\right)}} \]

   3. lift--.f64 N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\mathsf{neg}\left(\color{blue}{\left(\frac{z3}{\left(-z4\right) \cdot z4} - \frac{z1}{z2 \cdot z2}\right)}\right)} \]

   4. sub-negate-rev N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\left(-z4\right) \cdot z4}}} \]

   5. lift-/.f64 N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{z3}{\left(-z4\right) \cdot z4}}} \]

   6. lift-*.f64 N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \frac{z3}{\color{blue}{\left(-z4\right) \cdot z4}}} \]

   7. associate-/r* N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} - \color{blue}{\frac{\frac{z3}{-z4}}{z4}}} \]

   8. sub-to-fraction N/A

      \[\leadsto \frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\color{blue}{\frac{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}}{z4}}} \]

   9. associate-/r/ N/A

      \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

   10. lower-*.f64 N/A

       \[\leadsto \color{blue}{\frac{\mathsf{neg}\left(\log \left(1 - z0\right)\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 - \frac{z3}{-z4}} \cdot z4} \]

3. Applied rewrites 69.2%

   \[\leadsto \color{blue}{\frac{-\log \left(1 - z0\right)}{\frac{z1}{z2 \cdot z2} \cdot z4 + \frac{z3}{z4}} \cdot z4} \]

4. Taylor expanded in z3 around inf

   \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]
5. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \left(-1 \cdot \color{blue}{\frac{z4 \cdot \log \left(1 - z0\right)}{z3}}\right) \cdot z4 \]

   2. lower-/.f64 N/A

      \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{\color{blue}{z3}}\right) \cdot z4 \]

   3. lower-*.f64 N/A

      \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   4. lower-log.f64 N/A

      \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

   5. lower--.f64 59.7%

      \[\leadsto \left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right) \cdot z4 \]

6. Applied rewrites 59.7%

   \[\leadsto \color{blue}{\left(-1 \cdot \frac{z4 \cdot \log \left(1 - z0\right)}{z3}\right)} \cdot z4 \]

7. Taylor expanded in z0 around 0

   \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
8. Step-by-step derivation

   1. lower-/.f64 N/A

      \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

   2. lower-*.f64 46.6%

      \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

9. Applied rewrites 46.6%

   \[\leadsto \frac{z0 \cdot z4}{\color{blue}{z3}} \cdot z4 \]
10. Step-by-step derivation

    1. lift-/.f64 N/A

       \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

    2. lift-*.f64 N/A

       \[\leadsto \frac{z0 \cdot z4}{z3} \cdot z4 \]

    3. *-commutative N/A

       \[\leadsto \frac{z4 \cdot z0}{z3} \cdot z4 \]

    4. associate-/l* N/A

       \[\leadsto \left(z4 \cdot \frac{z0}{\color{blue}{z3}}\right) \cdot z4 \]

    5. lower-*.f64 N/A

       \[\leadsto \left(z4 \cdot \frac{z0}{\color{blue}{z3}}\right) \cdot z4 \]

    6. lower-/.f64 46.4%

       \[\leadsto \left(z4 \cdot \frac{z0}{z3}\right) \cdot z4 \]

11. Applied rewrites 46.4%

    \[\leadsto \left(z4 \cdot \frac{z0}{\color{blue}{z3}}\right) \cdot z4 \]
12. Add Preprocessing

Reproduce

herbie shell --seed 2025250 
(FPCore (z0 z3 z4 z1 z2)
  :name "(/ (log (- 1 z0)) (- (/ z3 (* (- z4) z4)) (/ z1 (* z2 z2))))"
  :precision binary64
  (/ (log (- 1.0 z0)) (- (/ z3 (* (- z4) z4)) (/ z1 (* z2 z2)))))