Logistic function

Percentage Accurate: 99.8% → 99.8%

Time: 2.5s

Alternatives: 14

Speedup: 0.8×

Specification

\[0 \leq s \land s \leq 1.0651631\]

Math

\[\begin{array}{l} \\ \frac{1}{1 + e^{\frac{-x}{s}}} \end{array} \]

FPCore

(FPCore (x s) :precision binary32 (/ 1.0 (+ 1.0 (exp (/ (- x) s)))))

C

float code(float x, float s) {
	return 1.0f / (1.0f + expf((-x / s)));
}

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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    code = 1.0e0 / (1.0e0 + exp((-x / s)))
end function

Julia

function code(x, s)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-x) / s))))
end

MATLAB

function tmp = code(x, s)
	tmp = single(1.0) / (single(1.0) + exp((-x / s)));
end

Initial Program: 99.8% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \frac{1}{1 + e^{\frac{-x}{s}}} \end{array} \]

FPCore

(FPCore (x s) :precision binary32 (/ 1.0 (+ 1.0 (exp (/ (- x) s)))))

C

float code(float x, float s) {
	return 1.0f / (1.0f + expf((-x / s)));
}

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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    code = 1.0e0 / (1.0e0 + exp((-x / s)))
end function

Julia

function code(x, s)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + exp(Float32(Float32(-x) / s))))
end

MATLAB

function tmp = code(x, s)
	tmp = single(1.0) / (single(1.0) + exp((-x / s)));
end

Alternative 1: 99.8% accurate, 0.8× speedup

Math

\[\begin{array}{l} \\ \frac{1}{1 + {e}^{\left(\frac{-x}{s}\right)}} \end{array} \]

FPCore

(FPCore (x s) :precision binary32 (/ 1.0 (+ 1.0 (pow E (/ (- x) s)))))

C

float code(float x, float s) {
	return 1.0f / (1.0f + powf(((float) M_E), (-x / s)));
}

Julia

function code(x, s)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + (Float32(exp(1)) ^ Float32(Float32(-x) / s))))
end

MATLAB

function tmp = code(x, s)
	tmp = single(1.0) / (single(1.0) + (single(2.71828182845904523536) ^ (-x / s)));
end

Derivation

1. Initial program 99.8%

   \[\frac{1}{1 + e^{\frac{-x}{s}}} \]
2. Step-by-step derivation

   1. lift-exp.f32 N/A

      \[\leadsto \frac{1}{1 + \color{blue}{e^{\frac{-x}{s}}}} \]

   2. lift-/.f32 N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\frac{-x}{s}}}} \]

   3. mult-flip N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\left(-x\right) \cdot \frac{1}{s}}}} \]

   4. *-commutative N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\frac{1}{s} \cdot \left(-x\right)}}} \]

   5. mult-flip N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\left(1 \cdot \frac{1}{s}\right)} \cdot \left(-x\right)}} \]

   6. associate-*l* N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{1 \cdot \left(\frac{1}{s} \cdot \left(-x\right)\right)}}} \]

   7. *-commutative N/A

      \[\leadsto \frac{1}{1 + e^{1 \cdot \color{blue}{\left(\left(-x\right) \cdot \frac{1}{s}\right)}}} \]

   8. mult-flip N/A

      \[\leadsto \frac{1}{1 + e^{1 \cdot \color{blue}{\frac{-x}{s}}}} \]

   9. lift-/.f32 N/A

      \[\leadsto \frac{1}{1 + e^{1 \cdot \color{blue}{\frac{-x}{s}}}} \]

   10. exp-prod N/A

       \[\leadsto \frac{1}{1 + \color{blue}{{\left(e^{1}\right)}^{\left(\frac{-x}{s}\right)}}} \]

   11. lower-pow.f32 N/A

       \[\leadsto \frac{1}{1 + \color{blue}{{\left(e^{1}\right)}^{\left(\frac{-x}{s}\right)}}} \]

   12. lower-exp.f32 99.8

       \[\leadsto \frac{1}{1 + {\color{blue}{\left(e^{1}\right)}}^{\left(\frac{-x}{s}\right)}} \]

3. Applied rewrites 99.8%

   \[\leadsto \frac{1}{1 + \color{blue}{{\left(e^{1}\right)}^{\left(\frac{-x}{s}\right)}}} \]
4. Step-by-step derivation

   1. lift-exp.f32 N/A

      \[\leadsto \frac{1}{1 + {\color{blue}{\left(e^{1}\right)}}^{\left(\frac{-x}{s}\right)}} \]

   2. exp-1-e N/A

      \[\leadsto \frac{1}{1 + {\color{blue}{\mathsf{E}\left(\right)}}^{\left(\frac{-x}{s}\right)}} \]

   3. lower-E.f32 99.8

      \[\leadsto \frac{1}{1 + {\color{blue}{e}}^{\left(\frac{-x}{s}\right)}} \]

5. Applied rewrites 99.8%

   \[\leadsto \frac{1}{1 + {\color{blue}{e}}^{\left(\frac{-x}{s}\right)}} \]
6. Add Preprocessing

Alternative 2: 99.8% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \frac{1}{1 + \frac{1}{e^{\frac{x}{s}}}} \end{array} \]

FPCore

(FPCore (x s) :precision binary32 (/ 1.0 (+ 1.0 (/ 1.0 (exp (/ x s))))))

C

float code(float x, float s) {
	return 1.0f / (1.0f + (1.0f / expf((x / s))));
}

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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    code = 1.0e0 / (1.0e0 + (1.0e0 / exp((x / s))))
end function

Julia

function code(x, s)
	return Float32(Float32(1.0) / Float32(Float32(1.0) + Float32(Float32(1.0) / exp(Float32(x / s)))))
end

MATLAB

function tmp = code(x, s)
	tmp = single(1.0) / (single(1.0) + (single(1.0) / exp((x / s))));
end

Derivation

1. Initial program 99.8%

   \[\frac{1}{1 + e^{\frac{-x}{s}}} \]
2. Step-by-step derivation

   1. lift-exp.f32 N/A

      \[\leadsto \frac{1}{1 + \color{blue}{e^{\frac{-x}{s}}}} \]

   2. lift-/.f32 N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\frac{-x}{s}}}} \]

   3. lift-neg.f32 N/A

      \[\leadsto \frac{1}{1 + e^{\frac{\color{blue}{\mathsf{neg}\left(x\right)}}{s}}} \]

   4. distribute-frac-neg N/A

      \[\leadsto \frac{1}{1 + e^{\color{blue}{\mathsf{neg}\left(\frac{x}{s}\right)}}} \]

   5. exp-neg N/A

      \[\leadsto \frac{1}{1 + \color{blue}{\frac{1}{e^{\frac{x}{s}}}}} \]

   6. lower-/.f32 N/A

      \[\leadsto \frac{1}{1 + \color{blue}{\frac{1}{e^{\frac{x}{s}}}}} \]

   7. lower-exp.f32 N/A

      \[\leadsto \frac{1}{1 + \frac{1}{\color{blue}{e^{\frac{x}{s}}}}} \]

   8. lower-/.f32 99.8

      \[\leadsto \frac{1}{1 + \frac{1}{e^{\color{blue}{\frac{x}{s}}}}} \]

3. Applied rewrites 99.8%

   \[\leadsto \frac{1}{1 + \color{blue}{\frac{1}{e^{\frac{x}{s}}}}} \]
4. Add Preprocessing

Alternative 3: 99.8% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \frac{1}{e^{\frac{-x}{s}} - -1} \end{array} \]

FPCore

(FPCore (x s) :precision binary32 (/ 1.0 (- (exp (/ (- x) s)) -1.0)))

C

float code(float x, float s) {
	return 1.0f / (expf((-x / s)) - -1.0f);
}

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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    code = 1.0e0 / (exp((-x / s)) - (-1.0e0))
end function

Julia

function code(x, s)
	return Float32(Float32(1.0) / Float32(exp(Float32(Float32(-x) / s)) - Float32(-1.0)))
end

MATLAB

function tmp = code(x, s)
	tmp = single(1.0) / (exp((-x / s)) - single(-1.0));
end

Derivation

1. Initial program 99.8%

   \[\frac{1}{1 + e^{\frac{-x}{s}}} \]
2. Step-by-step derivation

   1. lift-+.f32 N/A

      \[\leadsto \frac{1}{\color{blue}{1 + e^{\frac{-x}{s}}}} \]

   2. +-commutative N/A

      \[\leadsto \frac{1}{\color{blue}{e^{\frac{-x}{s}} + 1}} \]

   3. add-flip N/A

      \[\leadsto \frac{1}{\color{blue}{e^{\frac{-x}{s}} - \left(\mathsf{neg}\left(1\right)\right)}} \]

   4. metadata-eval N/A

      \[\leadsto \frac{1}{e^{\frac{-x}{s}} - \color{blue}{-1}} \]

   5. lower--.f32 99.8

      \[\leadsto \frac{1}{\color{blue}{e^{\frac{-x}{s}} - -1}} \]

3. Applied rewrites 99.8%

   \[\leadsto \color{blue}{\frac{1}{e^{\frac{-x}{s}} - -1}} \]
4. Add Preprocessing

Alternative 4: 57.9% accurate, 0.6× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := s - \left(x - s\right)\\ t_1 := \frac{-x}{s}\\ \mathbf{if}\;t\_1 \leq 30:\\ \;\;\;\;0.5\\ \mathbf{elif}\;t\_1 \leq 5.000000069242139 \cdot 10^{+23}:\\ \;\;\;\;\frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot t\_0\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{\frac{t\_0 \cdot x}{s}}{x}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (let* ((t_0 (- s (- x s))) (t_1 (/ (- x) s)))
   (if (<= t_1 30.0)
     0.5
     (if (<= t_1 5.000000069242139e+23)
       (/ 1.0 (* x (* (/ 1.0 (* s x)) t_0)))
       (/ 1.0 (/ (/ (* t_0 x) s) x))))))

C

float code(float x, float s) {
	float t_0 = s - (x - s);
	float t_1 = -x / s;
	float tmp;
	if (t_1 <= 30.0f) {
		tmp = 0.5f;
	} else if (t_1 <= 5.000000069242139e+23f) {
		tmp = 1.0f / (x * ((1.0f / (s * x)) * t_0));
	} else {
		tmp = 1.0f / (((t_0 * x) / s) / x);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: t_0
    real(4) :: t_1
    real(4) :: tmp
    t_0 = s - (x - s)
    t_1 = -x / s
    if (t_1 <= 30.0e0) then
        tmp = 0.5e0
    else if (t_1 <= 5.000000069242139e+23) then
        tmp = 1.0e0 / (x * ((1.0e0 / (s * x)) * t_0))
    else
        tmp = 1.0e0 / (((t_0 * x) / s) / x)
    end if
    code = tmp
end function

Julia

function code(x, s)
	t_0 = Float32(s - Float32(x - s))
	t_1 = Float32(Float32(-x) / s)
	tmp = Float32(0.0)
	if (t_1 <= Float32(30.0))
		tmp = Float32(0.5);
	elseif (t_1 <= Float32(5.000000069242139e+23))
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(Float32(1.0) / Float32(s * x)) * t_0)));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(t_0 * x) / s) / x));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	t_0 = s - (x - s);
	t_1 = -x / s;
	tmp = single(0.0);
	if (t_1 <= single(30.0))
		tmp = single(0.5);
	elseif (t_1 <= single(5.000000069242139e+23))
		tmp = single(1.0) / (x * ((single(1.0) / (s * x)) * t_0));
	else
		tmp = single(1.0) / (((t_0 * x) / s) / x);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 3 regimes

2. if (/.f32 (neg.f32 x) s) < 30

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{1}{2}} \]
   3. Step-by-step derivation

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{0.5} \]

   if 30 < (/.f32 (neg.f32 x) s) < 5.00000007e23

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]
   10. Step-by-step derivation

       1. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

       2. mult-flip-rev N/A

          \[\leadsto \frac{1}{x \cdot \left(\left(\left(s + s\right) - x\right) \cdot \frac{1}{\color{blue}{s \cdot x}}\right)} \]

       3. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \left(\left(\left(s + s\right) - x\right) \cdot \frac{1}{s \cdot \color{blue}{x}}\right)} \]

       4. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(\left(s + s\right) - \color{blue}{x}\right)\right)} \]

       5. lower-*.f32 34.4

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(\left(s + s\right) - \color{blue}{x}\right)\right)} \]

       6. lift--.f32 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(\left(s + s\right) - x\right)\right)} \]

       7. lift-+.f32 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(\left(s + s\right) - x\right)\right)} \]

       8. associate--l+ N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s + \left(s - \color{blue}{x}\right)\right)\right)} \]

       9. add-flip-rev N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s - \left(\mathsf{neg}\left(\left(s - x\right)\right)\right)\right)\right)} \]

       10. sub-negate-rev N/A

           \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s - \left(x - s\right)\right)\right)} \]

       11. lift--.f32 N/A

           \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s - \left(x - s\right)\right)\right)} \]

       12. lower--.f32 34.4

           \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s - \left(x - \color{blue}{s}\right)\right)\right)} \]

   11. Applied rewrites 34.4%

       \[\leadsto \frac{1}{x \cdot \left(\frac{1}{s \cdot x} \cdot \left(s - \color{blue}{\left(x - s\right)}\right)\right)} \]

   if 5.00000007e23 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]
   10. Step-by-step derivation

       1. lift-*.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{\color{blue}{s \cdot x}}} \]

       2. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

       3. associate-*r/ N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot \color{blue}{x}}} \]

       4. lift-*.f32 N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot x}} \]

       5. associate-/r* N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       6. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       7. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       8. *-commutative N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       9. lower-*.f32 37.6

          \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       10. lift--.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       11. lift-+.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       12. associate--l+ N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s + \left(s - x\right)\right) \cdot x}{s}}{x}} \]

       13. add-flip-rev N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(\mathsf{neg}\left(\left(s - x\right)\right)\right)\right) \cdot x}{s}}{x}} \]

       14. sub-negate-rev N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

       15. lift--.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

       16. lower--.f32 37.6

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

   11. Applied rewrites 37.6%

       \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 5: 57.0% accurate, 0.7× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;-x \leq 1.000000031374395 \cdot 10^{-22}:\\ \;\;\;\;0.5\\ \mathbf{elif}\;-x \leq 500:\\ \;\;\;\;\frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{s \cdot s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{x}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (- x) 1.000000031374395e-22)
   0.5
   (if (<= (- x) 500.0)
     (/ 1.0 (/ (fma s s (* (- s x) s)) (* s s)))
     (/ 1.0 (* (* (- 2.0 (/ x s)) x) (/ 1.0 x))))))

C

float code(float x, float s) {
	float tmp;
	if (-x <= 1.000000031374395e-22f) {
		tmp = 0.5f;
	} else if (-x <= 500.0f) {
		tmp = 1.0f / (fmaf(s, s, ((s - x) * s)) / (s * s));
	} else {
		tmp = 1.0f / (((2.0f - (x / s)) * x) * (1.0f / x));
	}
	return tmp;
}

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(-x) <= Float32(1.000000031374395e-22))
		tmp = Float32(0.5);
	elseif (Float32(-x) <= Float32(500.0))
		tmp = Float32(Float32(1.0) / Float32(fma(s, s, Float32(Float32(s - x) * s)) / Float32(s * s)));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(Float32(2.0) - Float32(x / s)) * x) * Float32(Float32(1.0) / x)));
	end
	return tmp
end

Derivation

1. Split input into 3 regimes

2. if (neg.f32 x) < 1.00000003e-22

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{1}{2}} \]
   3. Step-by-step derivation

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{0.5} \]

   if 1.00000003e-22 < (neg.f32 x) < 500

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]
   9. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. metadata-eval N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{1}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. mult-flip-rev N/A

         \[\leadsto \frac{1}{\frac{\left(x - s\right) - s}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. distribute-neg-frac2 N/A

         \[\leadsto \frac{1}{\mathsf{neg}\left(\frac{\left(x - s\right) - s}{s}\right)} \]

      7. distribute-frac-neg N/A

         \[\leadsto \frac{1}{\frac{\mathsf{neg}\left(\left(\left(x - s\right) - s\right)\right)}{\color{blue}{s}}} \]

      8. lift--.f32 N/A

         \[\leadsto \frac{1}{\frac{\mathsf{neg}\left(\left(\left(x - s\right) - s\right)\right)}{s}} \]

      9. sub-negate-rev N/A

         \[\leadsto \frac{1}{\frac{s - \left(x - s\right)}{s}} \]

      10. sub-flip N/A

          \[\leadsto \frac{1}{\frac{s + \left(\mathsf{neg}\left(\left(x - s\right)\right)\right)}{s}} \]

      11. lift--.f32 N/A

          \[\leadsto \frac{1}{\frac{s + \left(\mathsf{neg}\left(\left(x - s\right)\right)\right)}{s}} \]

      12. sub-negate-rev N/A

          \[\leadsto \frac{1}{\frac{s + \left(s - x\right)}{s}} \]

      13. div-add N/A

          \[\leadsto \frac{1}{\frac{s}{s} + \color{blue}{\frac{s - x}{s}}} \]

      14. common-denominator N/A

          \[\leadsto \frac{1}{\frac{s \cdot s + \left(s - x\right) \cdot s}{\color{blue}{s \cdot s}}} \]

      15. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{s \cdot s + \left(s - x\right) \cdot s}{\color{blue}{s \cdot s}}} \]

      16. lower-fma.f32 N/A

          \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{\color{blue}{s} \cdot s}} \]

      17. lower-*.f32 N/A

          \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{s \cdot s}} \]

      18. lower--.f32 N/A

          \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{s \cdot s}} \]

      19. lower-*.f32 42.0

          \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{s \cdot \color{blue}{s}}} \]

   10. Applied rewrites 42.0%

       \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(s, s, \left(s - x\right) \cdot s\right)}{\color{blue}{s \cdot s}}} \]

   if 500 < (neg.f32 x)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]
   10. Step-by-step derivation

       1. lift-*.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{\color{blue}{s \cdot x}}} \]

       2. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

       3. associate-*r/ N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot \color{blue}{x}}} \]

       4. *-commutative N/A

          \[\leadsto \frac{1}{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s \cdot x}} \]

       5. associate-*l/ N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s \cdot x} \cdot x} \]

       6. lift-*.f32 N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s \cdot x} \cdot x} \]

       7. associate-/r* N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s}}{x} \cdot x} \]

       8. associate-*l/ N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       9. mult-flip N/A

          \[\leadsto \frac{1}{\left(\frac{\left(s + s\right) - x}{s} \cdot x\right) \cdot \frac{1}{\color{blue}{x}}} \]

       10. lower-*.f32 N/A

           \[\leadsto \frac{1}{\left(\frac{\left(s + s\right) - x}{s} \cdot x\right) \cdot \frac{1}{\color{blue}{x}}} \]

       11. lower-*.f32 N/A

           \[\leadsto \frac{1}{\left(\frac{\left(s + s\right) - x}{s} \cdot x\right) \cdot \frac{1}{x}} \]

       12. lift--.f32 N/A

           \[\leadsto \frac{1}{\left(\frac{\left(s + s\right) - x}{s} \cdot x\right) \cdot \frac{1}{x}} \]

       13. lift-+.f32 N/A

           \[\leadsto \frac{1}{\left(\frac{\left(s + s\right) - x}{s} \cdot x\right) \cdot \frac{1}{x}} \]

       14. count-2 N/A

           \[\leadsto \frac{1}{\left(\frac{2 \cdot s - x}{s} \cdot x\right) \cdot \frac{1}{x}} \]

       15. sub-to-fraction-rev N/A

           \[\leadsto \frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{x}} \]

       16. lift-/.f32 N/A

           \[\leadsto \frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{x}} \]

       17. lower--.f32 N/A

           \[\leadsto \frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{x}} \]

       18. lower-/.f32 45.9

           \[\leadsto \frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{x}} \]

   11. Applied rewrites 45.9%

       \[\leadsto \frac{1}{\left(\left(2 - \frac{x}{s}\right) \cdot x\right) \cdot \frac{1}{\color{blue}{x}}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 6: 56.7% accurate, 0.6× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \frac{-x}{s}\\ \mathbf{if}\;t\_0 \leq 30:\\ \;\;\;\;0.5\\ \mathbf{elif}\;t\_0 \leq 4.0000000801635094 \cdot 10^{+21}:\\ \;\;\;\;\frac{1}{x \cdot \left(\left(2 \cdot s\right) \cdot \frac{1}{s \cdot x}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (let* ((t_0 (/ (- x) s)))
   (if (<= t_0 30.0)
     0.5
     (if (<= t_0 4.0000000801635094e+21)
       (/ 1.0 (* x (* (* 2.0 s) (/ 1.0 (* s x)))))
       (/ 1.0 (/ (/ (* (- s (- x s)) x) s) x))))))

C

float code(float x, float s) {
	float t_0 = -x / s;
	float tmp;
	if (t_0 <= 30.0f) {
		tmp = 0.5f;
	} else if (t_0 <= 4.0000000801635094e+21f) {
		tmp = 1.0f / (x * ((2.0f * s) * (1.0f / (s * x))));
	} else {
		tmp = 1.0f / ((((s - (x - s)) * x) / s) / x);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: t_0
    real(4) :: tmp
    t_0 = -x / s
    if (t_0 <= 30.0e0) then
        tmp = 0.5e0
    else if (t_0 <= 4.0000000801635094e+21) then
        tmp = 1.0e0 / (x * ((2.0e0 * s) * (1.0e0 / (s * x))))
    else
        tmp = 1.0e0 / ((((s - (x - s)) * x) / s) / x)
    end if
    code = tmp
end function

Julia

function code(x, s)
	t_0 = Float32(Float32(-x) / s)
	tmp = Float32(0.0)
	if (t_0 <= Float32(30.0))
		tmp = Float32(0.5);
	elseif (t_0 <= Float32(4.0000000801635094e+21))
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(Float32(2.0) * s) * Float32(Float32(1.0) / Float32(s * x)))));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(Float32(s - Float32(x - s)) * x) / s) / x));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	t_0 = -x / s;
	tmp = single(0.0);
	if (t_0 <= single(30.0))
		tmp = single(0.5);
	elseif (t_0 <= single(4.0000000801635094e+21))
		tmp = single(1.0) / (x * ((single(2.0) * s) * (single(1.0) / (s * x))));
	else
		tmp = single(1.0) / ((((s - (x - s)) * x) / s) / x);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 3 regimes

2. if (/.f32 (neg.f32 x) s) < 30

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{1}{2}} \]
   3. Step-by-step derivation

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{0.5} \]

   if 30 < (/.f32 (neg.f32 x) s) < 4.00000008e21

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      3. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. mult-flip-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{2}{x} - \frac{1}{s}\right)} \]

      5. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{2}{x} - \frac{1}{s}\right)} \]

      6. frac-sub N/A

         \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x \cdot 1}{x \cdot \color{blue}{s}}} \]

      7. mult-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(2 \cdot s - x \cdot 1\right) \cdot \frac{1}{\color{blue}{x \cdot s}}\right)} \]

   9. Applied rewrites 34.4%

      \[\leadsto \frac{1}{x \cdot \left(\left(\left(s + s\right) - x\right) \cdot \frac{1}{\color{blue}{s \cdot x}}\right)} \]

   10. Taylor expanded in x around 0

       \[\leadsto \frac{1}{x \cdot \left(\left(2 \cdot s\right) \cdot \frac{1}{\color{blue}{s} \cdot x}\right)} \]
   11. Step-by-step derivation

       1. lower-*.f32 28.3

          \[\leadsto \frac{1}{x \cdot \left(\left(2 \cdot s\right) \cdot \frac{1}{s \cdot x}\right)} \]

   12. Applied rewrites 28.3%

       \[\leadsto \frac{1}{x \cdot \left(\left(2 \cdot s\right) \cdot \frac{1}{\color{blue}{s} \cdot x}\right)} \]

   if 4.00000008e21 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]
   10. Step-by-step derivation

       1. lift-*.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{\color{blue}{s \cdot x}}} \]

       2. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

       3. associate-*r/ N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot \color{blue}{x}}} \]

       4. lift-*.f32 N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot x}} \]

       5. associate-/r* N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       6. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       7. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s}}{x}} \]

       8. *-commutative N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       9. lower-*.f32 37.6

          \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       10. lift--.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       11. lift-+.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s}}{x}} \]

       12. associate--l+ N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s + \left(s - x\right)\right) \cdot x}{s}}{x}} \]

       13. add-flip-rev N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(\mathsf{neg}\left(\left(s - x\right)\right)\right)\right) \cdot x}{s}}{x}} \]

       14. sub-negate-rev N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

       15. lift--.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

       16. lower--.f32 37.6

           \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]

   11. Applied rewrites 37.6%

       \[\leadsto \frac{1}{\frac{\frac{\left(s - \left(x - s\right)\right) \cdot x}{s}}{x}} \]
3. Recombined 3 regimes into one program.
4. Add Preprocessing

Alternative 7: 54.5% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;\frac{1}{\left(-2 \cdot s\right) \cdot \frac{-1}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{\left(2 - \frac{x}{s}\right) \cdot x}{x}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0)
   (/ 1.0 (* (* -2.0 s) (/ -1.0 s)))
   (/ 1.0 (/ (* (- 2.0 (/ x s)) x) x))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 1.0f / ((-2.0f * s) * (-1.0f / s));
	} else {
		tmp = 1.0f / (((2.0f - (x / s)) * x) / x);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 1.0e0 / (((-2.0e0) * s) * ((-1.0e0) / s))
    else
        tmp = 1.0e0 / (((2.0e0 - (x / s)) * x) / x)
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(-2.0) * s) * Float32(Float32(-1.0) / s)));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(Float32(2.0) - Float32(x / s)) * x) / x));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(1.0) / ((single(-2.0) * s) * (single(-1.0) / s));
	else
		tmp = single(1.0) / (((single(2.0) - (x / s)) * x) / x);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]

   9. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{\color{blue}{-1}}{s}} \]
   10. Step-by-step derivation

       1. lower-*.f32 34.8

          \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{-1}{s}} \]

   11. Applied rewrites 34.8%

       \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]
   10. Step-by-step derivation

       1. lift-*.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{\color{blue}{s \cdot x}}} \]

       2. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

       3. associate-*r/ N/A

          \[\leadsto \frac{1}{\frac{x \cdot \left(\left(s + s\right) - x\right)}{s \cdot \color{blue}{x}}} \]

       4. *-commutative N/A

          \[\leadsto \frac{1}{\frac{\left(\left(s + s\right) - x\right) \cdot x}{s \cdot x}} \]

       5. associate-*l/ N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s \cdot x} \cdot x} \]

       6. lift-*.f32 N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s \cdot x} \cdot x} \]

       7. associate-/r* N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s}}{x} \cdot x} \]

       8. associate-*l/ N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       9. lower-/.f32 N/A

          \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       10. lower-*.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       11. lift--.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       12. lift-+.f32 N/A

           \[\leadsto \frac{1}{\frac{\frac{\left(s + s\right) - x}{s} \cdot x}{x}} \]

       13. count-2 N/A

           \[\leadsto \frac{1}{\frac{\frac{2 \cdot s - x}{s} \cdot x}{x}} \]

       14. sub-to-fraction-rev N/A

           \[\leadsto \frac{1}{\frac{\left(2 - \frac{x}{s}\right) \cdot x}{x}} \]

       15. lift-/.f32 N/A

           \[\leadsto \frac{1}{\frac{\left(2 - \frac{x}{s}\right) \cdot x}{x}} \]

       16. lower--.f32 46.1

           \[\leadsto \frac{1}{\frac{\left(2 - \frac{x}{s}\right) \cdot x}{x}} \]

   11. Applied rewrites 46.1%

       \[\leadsto \color{blue}{\frac{1}{\frac{\left(2 - \frac{x}{s}\right) \cdot x}{x}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 8: 50.7% accurate, 0.6× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;1 + e^{\frac{-x}{s}} \leq 20000000000:\\ \;\;\;\;0.5\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{x \cdot \frac{-1 \cdot x}{s \cdot x}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (+ 1.0 (exp (/ (- x) s))) 20000000000.0)
   0.5
   (/ 1.0 (* x (/ (* -1.0 x) (* s x))))))

C

float code(float x, float s) {
	float tmp;
	if ((1.0f + expf((-x / s))) <= 20000000000.0f) {
		tmp = 0.5f;
	} else {
		tmp = 1.0f / (x * ((-1.0f * x) / (s * x)));
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((1.0e0 + exp((-x / s))) <= 20000000000.0e0) then
        tmp = 0.5e0
    else
        tmp = 1.0e0 / (x * (((-1.0e0) * x) / (s * x)))
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(1.0) + exp(Float32(Float32(-x) / s))) <= Float32(20000000000.0))
		tmp = Float32(0.5);
	else
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(Float32(-1.0) * x) / Float32(s * x))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((single(1.0) + exp((-x / s))) <= single(20000000000.0))
		tmp = single(0.5);
	else
		tmp = single(1.0) / (x * ((single(-1.0) * x) / (s * x)));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 x) s))) < 2e10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{1}{2}} \]
   3. Step-by-step derivation

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{0.5} \]

   if 2e10 < (+.f32 #s(literal 1 binary32) (exp.f32 (/.f32 (neg.f32 x) s)))

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   8. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      2. sub-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} + \left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)} \]

      3. add-flip N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      4. lift-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      5. count-2-rev N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      6. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\left(\frac{1}{x} + \frac{1}{x}\right) - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      7. add-to-fraction N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(\frac{1}{s}\right)\right)\right)\right)\right)} \]

      8. remove-double-neg N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{s}\right)} \]

      10. frac-2neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{\mathsf{neg}\left(1\right)}{\mathsf{neg}\left(s\right)}\right)} \]

      11. distribute-frac-neg N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \left(\mathsf{neg}\left(\frac{1}{\mathsf{neg}\left(s\right)}\right)\right)\right)} \]

      12. distribute-neg-frac2 N/A

          \[\leadsto \frac{1}{x \cdot \left(\frac{\frac{1}{x} \cdot x + 1}{x} - \frac{1}{\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)}\right)} \]

      13. frac-sub N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \color{blue}{\left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}}} \]

      14. lift-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(\frac{1}{x} \cdot x + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      15. lft-mult-inverse N/A

          \[\leadsto \frac{1}{x \cdot \frac{\left(1 + 1\right) \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      16. metadata-eval N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x \cdot 1}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      17. *-rgt-identity N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right) - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      18. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(s\right)\right)\right)\right)}} \]

      19. remove-double-neg N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{x \cdot s}} \]

      20. *-commutative N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot x}} \]

      21. lower-/.f32 N/A

          \[\leadsto \frac{1}{x \cdot \frac{2 \cdot s - x}{s \cdot \color{blue}{x}}} \]

   9. Applied rewrites 35.1%

      \[\leadsto \frac{1}{x \cdot \frac{\left(s + s\right) - x}{s \cdot \color{blue}{x}}} \]

   10. Taylor expanded in x around inf

       \[\leadsto \frac{1}{x \cdot \frac{-1 \cdot x}{s \cdot x}} \]
   11. Step-by-step derivation

       1. lower-*.f32 22.1

          \[\leadsto \frac{1}{x \cdot \frac{-1 \cdot x}{s \cdot x}} \]

   12. Applied rewrites 22.1%

       \[\leadsto \frac{1}{x \cdot \frac{-1 \cdot x}{s \cdot x}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 9: 49.1% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;\frac{1}{\left(-2 \cdot s\right) \cdot \frac{-1}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{3}{\left(2 - \frac{x}{s}\right) \cdot 3}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0)
   (/ 1.0 (* (* -2.0 s) (/ -1.0 s)))
   (/ 3.0 (* (- 2.0 (/ x s)) 3.0))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 1.0f / ((-2.0f * s) * (-1.0f / s));
	} else {
		tmp = 3.0f / ((2.0f - (x / s)) * 3.0f);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 1.0e0 / (((-2.0e0) * s) * ((-1.0e0) / s))
    else
        tmp = 3.0e0 / ((2.0e0 - (x / s)) * 3.0e0)
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(Float32(1.0) / Float32(Float32(Float32(-2.0) * s) * Float32(Float32(-1.0) / s)));
	else
		tmp = Float32(Float32(3.0) / Float32(Float32(Float32(2.0) - Float32(x / s)) * Float32(3.0)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(1.0) / ((single(-2.0) * s) * (single(-1.0) / s));
	else
		tmp = single(3.0) / ((single(2.0) - (x / s)) * single(3.0));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]

   9. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{\color{blue}{-1}}{s}} \]
   10. Step-by-step derivation

       1. lower-*.f32 34.8

          \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{-1}{s}} \]

   11. Applied rewrites 34.8%

       \[\leadsto \frac{1}{\left(-2 \cdot s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]
   9. Step-by-step derivation

      1. *-lft-identity N/A

         \[\leadsto \color{blue}{1 \cdot \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}}} \]

      2. *-commutative N/A

         \[\leadsto \color{blue}{\frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \cdot 1} \]

      3. lift-/.f32 N/A

         \[\leadsto \color{blue}{\frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}}} \cdot 1 \]

      4. metadata-eval N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \cdot \color{blue}{\frac{3}{3}} \]

      5. frac-times N/A

         \[\leadsto \color{blue}{\frac{1 \cdot 3}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

      6. metadata-eval N/A

         \[\leadsto \frac{\color{blue}{3}}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3} \]

      7. lower-/.f32 N/A

         \[\leadsto \color{blue}{\frac{3}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

      8. lower-*.f32 40.6

         \[\leadsto \frac{3}{\color{blue}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

   10. Applied rewrites 40.6%

       \[\leadsto \color{blue}{\frac{3}{\left(2 - \frac{x}{s}\right) \cdot 3}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 10: 49.0% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;\frac{1}{x \cdot \frac{2}{x}}\\ \mathbf{else}:\\ \;\;\;\;\frac{3}{\left(2 - \frac{x}{s}\right) \cdot 3}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0)
   (/ 1.0 (* x (/ 2.0 x)))
   (/ 3.0 (* (- 2.0 (/ x s)) 3.0))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 1.0f / (x * (2.0f / x));
	} else {
		tmp = 3.0f / ((2.0f - (x / s)) * 3.0f);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 1.0e0 / (x * (2.0e0 / x))
    else
        tmp = 3.0e0 / ((2.0e0 - (x / s)) * 3.0e0)
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(2.0) / x)));
	else
		tmp = Float32(Float32(3.0) / Float32(Float32(Float32(2.0) - Float32(x / s)) * Float32(3.0)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(1.0) / (x * (single(2.0) / x));
	else
		tmp = single(3.0) / ((single(2.0) - (x / s)) * single(3.0));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]

   8. Taylor expanded in x around 0

      \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]
   9. Step-by-step derivation

      1. lower-/.f32 34.6

         \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   10. Applied rewrites 34.6%

       \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]
   9. Step-by-step derivation

      1. *-lft-identity N/A

         \[\leadsto \color{blue}{1 \cdot \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}}} \]

      2. *-commutative N/A

         \[\leadsto \color{blue}{\frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \cdot 1} \]

      3. lift-/.f32 N/A

         \[\leadsto \color{blue}{\frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}}} \cdot 1 \]

      4. metadata-eval N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \cdot \color{blue}{\frac{3}{3}} \]

      5. frac-times N/A

         \[\leadsto \color{blue}{\frac{1 \cdot 3}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

      6. metadata-eval N/A

         \[\leadsto \frac{\color{blue}{3}}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3} \]

      7. lower-/.f32 N/A

         \[\leadsto \color{blue}{\frac{3}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

      8. lower-*.f32 40.6

         \[\leadsto \frac{3}{\color{blue}{\left(\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}\right) \cdot 3}} \]

   10. Applied rewrites 40.6%

       \[\leadsto \color{blue}{\frac{3}{\left(2 - \frac{x}{s}\right) \cdot 3}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 11: 48.9% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;\frac{1}{x \cdot \frac{2}{x}}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{s - \left(x - s\right)}{s}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0)
   (/ 1.0 (* x (/ 2.0 x)))
   (/ 1.0 (/ (- s (- x s)) s))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 1.0f / (x * (2.0f / x));
	} else {
		tmp = 1.0f / ((s - (x - s)) / s);
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 1.0e0 / (x * (2.0e0 / x))
    else
        tmp = 1.0e0 / ((s - (x - s)) / s)
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(2.0) / x)));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(s - Float32(x - s)) / s));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(1.0) / (x * (single(2.0) / x));
	else
		tmp = single(1.0) / ((s - (x - s)) / s);
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]

   8. Taylor expanded in x around 0

      \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]
   9. Step-by-step derivation

      1. lower-/.f32 34.6

         \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   10. Applied rewrites 34.6%

       \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
   7. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{x}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{2 - \frac{\mathsf{neg}\left(x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. lift-neg.f32 N/A

         \[\leadsto \frac{1}{2 - \frac{-x}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. sub-to-fraction N/A

         \[\leadsto \frac{1}{\frac{2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. mult-flip N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{1}{\mathsf{neg}\left(s\right)}}} \]

      7. metadata-eval N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      8. frac-2neg N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      9. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      10. lower-*.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) - \left(-x\right)\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      11. sub-flip-reverse N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(-x\right)\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      12. lift-neg.f32 N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + \left(\mathsf{neg}\left(\left(\mathsf{neg}\left(x\right)\right)\right)\right)\right) \cdot \frac{-1}{s}} \]

      13. remove-double-neg N/A

          \[\leadsto \frac{1}{\left(2 \cdot \left(\mathsf{neg}\left(s\right)\right) + x\right) \cdot \frac{-1}{s}} \]

      14. +-commutative N/A

          \[\leadsto \frac{1}{\left(x + 2 \cdot \left(\mathsf{neg}\left(s\right)\right)\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      15. *-commutative N/A

          \[\leadsto \frac{1}{\left(x + \left(\mathsf{neg}\left(s\right)\right) \cdot 2\right) \cdot \frac{-1}{s}} \]

      16. fp-cancel-sub-sign-inv N/A

          \[\leadsto \frac{1}{\left(x - s \cdot 2\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      17. *-commutative N/A

          \[\leadsto \frac{1}{\left(x - 2 \cdot s\right) \cdot \frac{-1}{s}} \]

      18. count-2-rev N/A

          \[\leadsto \frac{1}{\left(x - \left(s + s\right)\right) \cdot \frac{-1}{s}} \]

      19. associate--r+ N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      20. lower--.f32 N/A

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\color{blue}{-1}}{s}} \]

      21. lower--.f32 40.4

          \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{s}} \]

   8. Applied rewrites 40.4%

      \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]
   9. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \color{blue}{\frac{-1}{s}}} \]

      2. lift-/.f32 N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{-1}{\color{blue}{s}}} \]

      3. frac-2neg N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{\mathsf{neg}\left(-1\right)}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      4. metadata-eval N/A

         \[\leadsto \frac{1}{\left(\left(x - s\right) - s\right) \cdot \frac{1}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      5. mult-flip-rev N/A

         \[\leadsto \frac{1}{\frac{\left(x - s\right) - s}{\color{blue}{\mathsf{neg}\left(s\right)}}} \]

      6. lift--.f32 N/A

         \[\leadsto \frac{1}{\frac{\left(x - s\right) - s}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      7. lift--.f32 N/A

         \[\leadsto \frac{1}{\frac{\left(x - s\right) - s}{\mathsf{neg}\left(s\right)}} \]

      8. associate--l- N/A

         \[\leadsto \frac{1}{\frac{x - \left(s + s\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      9. lift-+.f32 N/A

         \[\leadsto \frac{1}{\frac{x - \left(s + s\right)}{\mathsf{neg}\left(s\right)}} \]

      10. sub-negate-rev N/A

          \[\leadsto \frac{1}{\frac{\mathsf{neg}\left(\left(\left(s + s\right) - x\right)\right)}{\mathsf{neg}\left(\color{blue}{s}\right)}} \]

      11. lift--.f32 N/A

          \[\leadsto \frac{1}{\frac{\mathsf{neg}\left(\left(\left(s + s\right) - x\right)\right)}{\mathsf{neg}\left(s\right)}} \]

      12. frac-2neg N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{\color{blue}{s}}} \]

      13. lower-/.f32 40.5

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{\color{blue}{s}}} \]

      14. lift--.f32 N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s}} \]

      15. lift-+.f32 N/A

          \[\leadsto \frac{1}{\frac{\left(s + s\right) - x}{s}} \]

      16. associate--l+ N/A

          \[\leadsto \frac{1}{\frac{s + \left(s - x\right)}{s}} \]

      17. add-flip-rev N/A

          \[\leadsto \frac{1}{\frac{s - \left(\mathsf{neg}\left(\left(s - x\right)\right)\right)}{s}} \]

      18. sub-negate-rev N/A

          \[\leadsto \frac{1}{\frac{s - \left(x - s\right)}{s}} \]

      19. lift--.f32 N/A

          \[\leadsto \frac{1}{\frac{s - \left(x - s\right)}{s}} \]

      20. lower--.f32 40.4

          \[\leadsto \frac{1}{\frac{s - \left(x - s\right)}{s}} \]

   10. Applied rewrites 40.4%

       \[\leadsto \frac{1}{\frac{s - \left(x - s\right)}{\color{blue}{s}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 12: 48.9% accurate, 1.1× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;\frac{1}{x \cdot \frac{2}{x}}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{2 - \frac{x}{s}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0) (/ 1.0 (* x (/ 2.0 x))) (/ 1.0 (- 2.0 (/ x s)))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 1.0f / (x * (2.0f / x));
	} else {
		tmp = 1.0f / (2.0f - (x / s));
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 1.0e0 / (x * (2.0e0 / x))
    else
        tmp = 1.0e0 / (2.0e0 - (x / s))
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(Float32(1.0) / Float32(x * Float32(Float32(2.0) / x)));
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(2.0) - Float32(x / s)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(1.0) / (x * (single(2.0) / x));
	else
		tmp = single(1.0) / (single(2.0) - (x / s));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]

   5. Taylor expanded in x around inf

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]
   6. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \color{blue}{\frac{1}{s}}\right)} \]

      2. lower--.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{\color{blue}{s}}\right)} \]

      3. lower-*.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      4. lower-/.f32 N/A

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

      5. lower-/.f32 40.2

         \[\leadsto \frac{1}{x \cdot \left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)} \]

   7. Applied rewrites 40.2%

      \[\leadsto \frac{1}{x \cdot \color{blue}{\left(2 \cdot \frac{1}{x} - \frac{1}{s}\right)}} \]

   8. Taylor expanded in x around 0

      \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]
   9. Step-by-step derivation

      1. lower-/.f32 34.6

         \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   10. Applied rewrites 34.6%

       \[\leadsto \frac{1}{x \cdot \frac{2}{x}} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 13: 48.9% accurate, 1.2× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\frac{-x}{s} \leq -10:\\ \;\;\;\;0.5\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{2 - \frac{x}{s}}\\ \end{array} \end{array} \]

FPCore

(FPCore (x s)
 :precision binary32
 (if (<= (/ (- x) s) -10.0) 0.5 (/ 1.0 (- 2.0 (/ x s)))))

C

float code(float x, float s) {
	float tmp;
	if ((-x / s) <= -10.0f) {
		tmp = 0.5f;
	} else {
		tmp = 1.0f / (2.0f - (x / s));
	}
	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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    real(4) :: tmp
    if ((-x / s) <= (-10.0e0)) then
        tmp = 0.5e0
    else
        tmp = 1.0e0 / (2.0e0 - (x / s))
    end if
    code = tmp
end function

Julia

function code(x, s)
	tmp = Float32(0.0)
	if (Float32(Float32(-x) / s) <= Float32(-10.0))
		tmp = Float32(0.5);
	else
		tmp = Float32(Float32(1.0) / Float32(Float32(2.0) - Float32(x / s)));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, s)
	tmp = single(0.0);
	if ((-x / s) <= single(-10.0))
		tmp = single(0.5);
	else
		tmp = single(1.0) / (single(2.0) - (x / s));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (/.f32 (neg.f32 x) s) < -10

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{1}{2}} \]
   3. Step-by-step derivation

   4. Applied rewrites 34.8%

      \[\leadsto \color{blue}{0.5} \]

   if -10 < (/.f32 (neg.f32 x) s)

   1. Initial program 99.8%

      \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

   2. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   3. Step-by-step derivation

      1. lower-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lower-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. lower-/.f32 40.5

         \[\leadsto \frac{1}{2 + -1 \cdot \frac{x}{\color{blue}{s}}} \]

   4. Applied rewrites 40.5%

      \[\leadsto \frac{1}{\color{blue}{2 + -1 \cdot \frac{x}{s}}} \]
   5. Step-by-step derivation

      1. lift-+.f32 N/A

         \[\leadsto \frac{1}{2 + \color{blue}{-1 \cdot \frac{x}{s}}} \]

      2. lift-*.f32 N/A

         \[\leadsto \frac{1}{2 + -1 \cdot \color{blue}{\frac{x}{s}}} \]

      3. mul-1-neg N/A

         \[\leadsto \frac{1}{2 + \left(\mathsf{neg}\left(\frac{x}{s}\right)\right)} \]

      4. sub-flip-reverse N/A

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

      5. lower--.f32 40.5

         \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]

   6. Applied rewrites 40.5%

      \[\leadsto \frac{1}{2 - \color{blue}{\frac{x}{s}}} \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 14: 34.8% accurate, 22.5× speedup

Math

\[\begin{array}{l} \\ 0.5 \end{array} \]

FPCore

(FPCore (x s) :precision binary32 0.5)

C

float code(float x, float s) {
	return 0.5f;
}

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(4) function code(x, s)
use fmin_fmax_functions
    real(4), intent (in) :: x
    real(4), intent (in) :: s
    code = 0.5e0
end function

Julia

function code(x, s)
	return Float32(0.5)
end

MATLAB

function tmp = code(x, s)
	tmp = single(0.5);
end

Derivation

1. Initial program 99.8%

   \[\frac{1}{1 + e^{\frac{-x}{s}}} \]

2. Taylor expanded in x around 0

   \[\leadsto \color{blue}{\frac{1}{2}} \]
3. Step-by-step derivation

4. Applied rewrites 34.8%

   \[\leadsto \color{blue}{0.5} \]
5. Add Preprocessing

Reproduce

herbie shell --seed 2025156 
(FPCore (x s)
  :name "Logistic function"
  :precision binary32
  :pre (and (<= 0.0 s) (<= s 1.0651631))
  (/ 1.0 (+ 1.0 (exp (/ (- x) s)))))