Disney BSSRDF, sample scattering profile, lower

Percentage Accurate: 61.3% → 98.9%

Time: 4.7s

Alternatives: 18

Speedup: 11.4×

Specification

\[\left(0 \leq s \land s \leq 256\right) \land \left(2.328306437 \cdot 10^{-10} \leq u \land u \leq 0.25\right)\]

Math

\[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (log (/ 1.0 (- 1.0 (* 4.0 u))))))

C

float code(float s, float u) {
	return s * logf((1.0f / (1.0f - (4.0f * u))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * log((1.0e0 / (1.0e0 - (4.0e0 * u))))
end function

Julia

function code(s, u)
	return Float32(s * log(Float32(Float32(1.0) / Float32(Float32(1.0) - Float32(Float32(4.0) * u)))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * log((single(1.0) / (single(1.0) - (single(4.0) * u))));
end

Initial Program: 61.3% accurate, 1.0× speedup

Math

\[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (log (/ 1.0 (- 1.0 (* 4.0 u))))))

C

float code(float s, float u) {
	return s * logf((1.0f / (1.0f - (4.0f * u))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * log((1.0e0 / (1.0e0 - (4.0e0 * u))))
end function

Julia

function code(s, u)
	return Float32(s * log(Float32(Float32(1.0) / Float32(Float32(1.0) - Float32(Float32(4.0) * u)))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * log((single(1.0) / (single(1.0) - (single(4.0) * u))));
end

Alternative 1: 98.9% accurate, 0.3× speedup

Math

\[\begin{array}{l} t_0 := -\log \left(-8 \cdot u - -2\right)\\ \mathbf{if}\;1 - 4 \cdot u \leq 0.9599999785423279:\\ \;\;\;\;s \cdot \left(\left(1 + \frac{\log 2}{t\_0}\right) \cdot t\_0\right)\\ \mathbf{else}:\\ \;\;\;\;s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right)\\ \end{array} \]

FPCore

(FPCore (s u)
  :precision binary32
  (let* ((t_0 (- (log (- (* -8.0 u) -2.0)))))
  (if (<= (- 1.0 (* 4.0 u)) 0.9599999785423279)
    (* s (* (+ 1.0 (/ (log 2.0) t_0)) t_0))
    (*
     s
     (+
      (* (* (- (* (- (* 64.0 u) -21.333333333333332) u) -8.0) u) u)
      (* u 4.0))))))

C

float code(float s, float u) {
	float t_0 = -logf(((-8.0f * u) - -2.0f));
	float tmp;
	if ((1.0f - (4.0f * u)) <= 0.9599999785423279f) {
		tmp = s * ((1.0f + (logf(2.0f) / t_0)) * t_0);
	} else {
		tmp = s * (((((((64.0f * u) - -21.333333333333332f) * u) - -8.0f) * u) * u) + (u * 4.0f));
	}
	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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    real(4) :: t_0
    real(4) :: tmp
    t_0 = -log((((-8.0e0) * u) - (-2.0e0)))
    if ((1.0e0 - (4.0e0 * u)) <= 0.9599999785423279e0) then
        tmp = s * ((1.0e0 + (log(2.0e0) / t_0)) * t_0)
    else
        tmp = s * (((((((64.0e0 * u) - (-21.333333333333332e0)) * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
    end if
    code = tmp
end function

Julia

function code(s, u)
	t_0 = Float32(-log(Float32(Float32(Float32(-8.0) * u) - Float32(-2.0))))
	tmp = Float32(0.0)
	if (Float32(Float32(1.0) - Float32(Float32(4.0) * u)) <= Float32(0.9599999785423279))
		tmp = Float32(s * Float32(Float32(Float32(1.0) + Float32(log(Float32(2.0)) / t_0)) * t_0));
	else
		tmp = Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(64.0) * u) - Float32(-21.333333333333332)) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(s, u)
	t_0 = -log(((single(-8.0) * u) - single(-2.0)));
	tmp = single(0.0);
	if ((single(1.0) - (single(4.0) * u)) <= single(0.9599999785423279))
		tmp = s * ((single(1.0) + (log(single(2.0)) / t_0)) * t_0);
	else
		tmp = s * (((((((single(64.0) * u) - single(-21.333333333333332)) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (-.f32 #s(literal 1 binary32) (*.f32 #s(literal 4 binary32) u)) < 0.959999979

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   3. Applied rewrites 63.4%

      \[\leadsto s \cdot \color{blue}{\left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]
   4. Step-by-step derivation

      1. lift--.f32 N/A

         \[\leadsto s \cdot \color{blue}{\left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]

      2. sub-flip N/A

         \[\leadsto s \cdot \color{blue}{\left(\log 2 + \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right)} \]

      3. +-commutative N/A

         \[\leadsto s \cdot \color{blue}{\left(\left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right) + \log 2\right)} \]

      4. sum-to-mult N/A

         \[\leadsto s \cdot \color{blue}{\left(\left(1 + \frac{\log 2}{\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right)} \]

      5. lower-unsound-*.f32 N/A

         \[\leadsto s \cdot \color{blue}{\left(\left(1 + \frac{\log 2}{\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right)} \]

      6. lower-unsound-+.f32 N/A

         \[\leadsto s \cdot \left(\color{blue}{\left(1 + \frac{\log 2}{\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)}\right)} \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

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

         \[\leadsto s \cdot \left(\left(1 + \color{blue}{\frac{\log 2}{\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)}}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

      8. lower-neg.f32 N/A

         \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{\color{blue}{-\log \left(u \cdot -8 - -2\right)}}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

      9. lift-*.f32 N/A

         \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(\color{blue}{u \cdot -8} - -2\right)}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

      10. *-commutative N/A

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(\color{blue}{-8 \cdot u} - -2\right)}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

      11. lower-*.f32 N/A

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(\color{blue}{-8 \cdot u} - -2\right)}\right) \cdot \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right) \]

      12. lower-neg.f32 62.2%

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(-8 \cdot u - -2\right)}\right) \cdot \color{blue}{\left(-\log \left(u \cdot -8 - -2\right)\right)}\right) \]

      13. lift-*.f32 N/A

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(-8 \cdot u - -2\right)}\right) \cdot \left(-\log \left(\color{blue}{u \cdot -8} - -2\right)\right)\right) \]

      14. *-commutative N/A

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(-8 \cdot u - -2\right)}\right) \cdot \left(-\log \left(\color{blue}{-8 \cdot u} - -2\right)\right)\right) \]

      15. lower-*.f32 62.2%

          \[\leadsto s \cdot \left(\left(1 + \frac{\log 2}{-\log \left(-8 \cdot u - -2\right)}\right) \cdot \left(-\log \left(\color{blue}{-8 \cdot u} - -2\right)\right)\right) \]

   5. Applied rewrites 62.2%

      \[\leadsto s \cdot \color{blue}{\left(\left(1 + \frac{\log 2}{-\log \left(-8 \cdot u - -2\right)}\right) \cdot \left(-\log \left(-8 \cdot u - -2\right)\right)\right)} \]

   if 0.959999979 < (-.f32 #s(literal 1 binary32) (*.f32 #s(literal 4 binary32) u))

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   2. Taylor expanded in u around 0

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
   3. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      4. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      5. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      6. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

      7. lower-*.f32 92.8%

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   4. Applied rewrites 92.8%

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
   5. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lift-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. +-commutative N/A

         \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

      4. distribute-rgt-in N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

      5. *-commutative N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      6. lift-*.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      7. lower-+.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   6. Applied rewrites 93.1%

      \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 2: 98.8% accurate, 0.9× speedup

Math

\[\begin{array}{l} \mathbf{if}\;1 - 4 \cdot u \leq 0.9599999785423279:\\ \;\;\;\;0.6931471824645996 \cdot s + \left(-\log \left(-8 \cdot u - -2\right)\right) \cdot s\\ \mathbf{else}:\\ \;\;\;\;s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right)\\ \end{array} \]

FPCore

(FPCore (s u)
  :precision binary32
  (if (<= (- 1.0 (* 4.0 u)) 0.9599999785423279)
  (+ (* 0.6931471824645996 s) (* (- (log (- (* -8.0 u) -2.0))) s))
  (*
   s
   (+
    (* (* (- (* (- (* 64.0 u) -21.333333333333332) u) -8.0) u) u)
    (* u 4.0)))))

C

float code(float s, float u) {
	float tmp;
	if ((1.0f - (4.0f * u)) <= 0.9599999785423279f) {
		tmp = (0.6931471824645996f * s) + (-logf(((-8.0f * u) - -2.0f)) * s);
	} else {
		tmp = s * (((((((64.0f * u) - -21.333333333333332f) * u) - -8.0f) * u) * u) + (u * 4.0f));
	}
	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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    real(4) :: tmp
    if ((1.0e0 - (4.0e0 * u)) <= 0.9599999785423279e0) then
        tmp = (0.6931471824645996e0 * s) + (-log((((-8.0e0) * u) - (-2.0e0))) * s)
    else
        tmp = s * (((((((64.0e0 * u) - (-21.333333333333332e0)) * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
    end if
    code = tmp
end function

Julia

function code(s, u)
	tmp = Float32(0.0)
	if (Float32(Float32(1.0) - Float32(Float32(4.0) * u)) <= Float32(0.9599999785423279))
		tmp = Float32(Float32(Float32(0.6931471824645996) * s) + Float32(Float32(-log(Float32(Float32(Float32(-8.0) * u) - Float32(-2.0)))) * s));
	else
		tmp = Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(64.0) * u) - Float32(-21.333333333333332)) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(s, u)
	tmp = single(0.0);
	if ((single(1.0) - (single(4.0) * u)) <= single(0.9599999785423279))
		tmp = (single(0.6931471824645996) * s) + (-log(((single(-8.0) * u) - single(-2.0))) * s);
	else
		tmp = s * (((((((single(64.0) * u) - single(-21.333333333333332)) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if (-.f32 #s(literal 1 binary32) (*.f32 #s(literal 4 binary32) u)) < 0.959999979

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   3. Applied rewrites 63.4%

      \[\leadsto s \cdot \color{blue}{\left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]
   4. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto \color{blue}{s \cdot \left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]

      2. lift--.f32 N/A

         \[\leadsto s \cdot \color{blue}{\left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]

      3. sub-flip N/A

         \[\leadsto s \cdot \color{blue}{\left(\log 2 + \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right)\right)} \]

      4. distribute-rgt-in N/A

         \[\leadsto \color{blue}{\log 2 \cdot s + \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right) \cdot s} \]

      5. lower-+.f32 N/A

         \[\leadsto \color{blue}{\log 2 \cdot s + \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right) \cdot s} \]

      6. lower-*.f32 N/A

         \[\leadsto \color{blue}{\log 2 \cdot s} + \left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right) \cdot s \]

      7. lower-*.f32 N/A

         \[\leadsto \log 2 \cdot s + \color{blue}{\left(\mathsf{neg}\left(\log \left(u \cdot -8 - -2\right)\right)\right) \cdot s} \]

      8. lower-neg.f32 62.2%

         \[\leadsto \log 2 \cdot s + \color{blue}{\left(-\log \left(u \cdot -8 - -2\right)\right)} \cdot s \]

      9. lift-*.f32 N/A

         \[\leadsto \log 2 \cdot s + \left(-\log \left(\color{blue}{u \cdot -8} - -2\right)\right) \cdot s \]

      10. *-commutative N/A

          \[\leadsto \log 2 \cdot s + \left(-\log \left(\color{blue}{-8 \cdot u} - -2\right)\right) \cdot s \]

      11. lower-*.f32 62.2%

          \[\leadsto \log 2 \cdot s + \left(-\log \left(\color{blue}{-8 \cdot u} - -2\right)\right) \cdot s \]

   5. Applied rewrites 62.2%

      \[\leadsto \color{blue}{\log 2 \cdot s + \left(-\log \left(-8 \cdot u - -2\right)\right) \cdot s} \]

   6. Evaluated real constant 62.2%

      \[\leadsto \color{blue}{0.6931471824645996} \cdot s + \left(-\log \left(-8 \cdot u - -2\right)\right) \cdot s \]

   if 0.959999979 < (-.f32 #s(literal 1 binary32) (*.f32 #s(literal 4 binary32) u))

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   2. Taylor expanded in u around 0

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
   3. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      4. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      5. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      6. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

      7. lower-*.f32 92.8%

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   4. Applied rewrites 92.8%

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
   5. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lift-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. +-commutative N/A

         \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

      4. distribute-rgt-in N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

      5. *-commutative N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      6. lift-*.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      7. lower-+.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   6. Applied rewrites 93.1%

      \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 3: 98.8% accurate, 1.0× speedup

Math

\[\begin{array}{l} \mathbf{if}\;u \leq 0.009499999694526196:\\ \;\;\;\;s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;s \cdot \left(0.6931471824645996 - \log \left(u \cdot -8 - -2\right)\right)\\ \end{array} \]

FPCore

(FPCore (s u)
  :precision binary32
  (if (<= u 0.009499999694526196)
  (*
   s
   (+
    (* (* (- (* (- (* 64.0 u) -21.333333333333332) u) -8.0) u) u)
    (* u 4.0)))
  (* s (- 0.6931471824645996 (log (- (* u -8.0) -2.0))))))

C

float code(float s, float u) {
	float tmp;
	if (u <= 0.009499999694526196f) {
		tmp = s * (((((((64.0f * u) - -21.333333333333332f) * u) - -8.0f) * u) * u) + (u * 4.0f));
	} else {
		tmp = s * (0.6931471824645996f - logf(((u * -8.0f) - -2.0f)));
	}
	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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    real(4) :: tmp
    if (u <= 0.009499999694526196e0) then
        tmp = s * (((((((64.0e0 * u) - (-21.333333333333332e0)) * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
    else
        tmp = s * (0.6931471824645996e0 - log(((u * (-8.0e0)) - (-2.0e0))))
    end if
    code = tmp
end function

Julia

function code(s, u)
	tmp = Float32(0.0)
	if (u <= Float32(0.009499999694526196))
		tmp = Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(64.0) * u) - Float32(-21.333333333333332)) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))));
	else
		tmp = Float32(s * Float32(Float32(0.6931471824645996) - log(Float32(Float32(u * Float32(-8.0)) - Float32(-2.0)))));
	end
	return tmp
end

MATLAB

function tmp_2 = code(s, u)
	tmp = single(0.0);
	if (u <= single(0.009499999694526196))
		tmp = s * (((((((single(64.0) * u) - single(-21.333333333333332)) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
	else
		tmp = s * (single(0.6931471824645996) - log(((u * single(-8.0)) - single(-2.0))));
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if u < 0.00949999969

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   2. Taylor expanded in u around 0

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
   3. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      4. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      5. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      6. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

      7. lower-*.f32 92.8%

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   4. Applied rewrites 92.8%

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
   5. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lift-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. +-commutative N/A

         \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

      4. distribute-rgt-in N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

      5. *-commutative N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      6. lift-*.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      7. lower-+.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   6. Applied rewrites 93.1%

      \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   if 0.00949999969 < u

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   3. Applied rewrites 63.4%

      \[\leadsto s \cdot \color{blue}{\left(\log 2 - \log \left(u \cdot -8 - -2\right)\right)} \]

   4. Evaluated real constant 63.4%

      \[\leadsto s \cdot \left(\color{blue}{0.6931471824645996} - \log \left(u \cdot -8 - -2\right)\right) \]
3. Recombined 2 regimes into one program.
4. Add Preprocessing

Alternative 4: 98.7% accurate, 1.0× speedup

Math

\[\begin{array}{l} \mathbf{if}\;u \leq 0.010400000028312206:\\ \;\;\;\;s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right)\\ \mathbf{else}:\\ \;\;\;\;\left(-\log \left(1 - u \cdot 4\right)\right) \cdot s\\ \end{array} \]

FPCore

(FPCore (s u)
  :precision binary32
  (if (<= u 0.010400000028312206)
  (*
   s
   (+
    (* (* (- (* (- (* 64.0 u) -21.333333333333332) u) -8.0) u) u)
    (* u 4.0)))
  (* (- (log (- 1.0 (* u 4.0)))) s)))

C

float code(float s, float u) {
	float tmp;
	if (u <= 0.010400000028312206f) {
		tmp = s * (((((((64.0f * u) - -21.333333333333332f) * u) - -8.0f) * u) * u) + (u * 4.0f));
	} else {
		tmp = -logf((1.0f - (u * 4.0f))) * 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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    real(4) :: tmp
    if (u <= 0.010400000028312206e0) then
        tmp = s * (((((((64.0e0 * u) - (-21.333333333333332e0)) * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
    else
        tmp = -log((1.0e0 - (u * 4.0e0))) * s
    end if
    code = tmp
end function

Julia

function code(s, u)
	tmp = Float32(0.0)
	if (u <= Float32(0.010400000028312206))
		tmp = Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(64.0) * u) - Float32(-21.333333333333332)) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))));
	else
		tmp = Float32(Float32(-log(Float32(Float32(1.0) - Float32(u * Float32(4.0))))) * s);
	end
	return tmp
end

MATLAB

function tmp_2 = code(s, u)
	tmp = single(0.0);
	if (u <= single(0.010400000028312206))
		tmp = s * (((((((single(64.0) * u) - single(-21.333333333333332)) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
	else
		tmp = -log((single(1.0) - (u * single(4.0)))) * s;
	end
	tmp_2 = tmp;
end

Derivation

1. Split input into 2 regimes

2. if u < 0.0104

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

   2. Taylor expanded in u around 0

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
   3. Step-by-step derivation

      1. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      4. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      5. lower-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

      6. lower-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

      7. lower-*.f32 92.8%

         \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   4. Applied rewrites 92.8%

      \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
   5. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

      2. lift-+.f32 N/A

         \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

      3. +-commutative N/A

         \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

      4. distribute-rgt-in N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

      5. *-commutative N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      6. lift-*.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

      7. lower-+.f32 N/A

         \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   6. Applied rewrites 93.1%

      \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

   if 0.0104 < u

   1. Initial program 61.3%

      \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]
   2. Step-by-step derivation

      1. lift-*.f32 N/A

         \[\leadsto \color{blue}{s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right)} \]

      2. *-commutative N/A

         \[\leadsto \color{blue}{\log \left(\frac{1}{1 - 4 \cdot u}\right) \cdot s} \]

      3. lower-*.f32 61.3%

         \[\leadsto \color{blue}{\log \left(\frac{1}{1 - 4 \cdot u}\right) \cdot s} \]

      4. lift-log.f32 N/A

         \[\leadsto \color{blue}{\log \left(\frac{1}{1 - 4 \cdot u}\right)} \cdot s \]

      5. lift-/.f32 N/A

         \[\leadsto \log \color{blue}{\left(\frac{1}{1 - 4 \cdot u}\right)} \cdot s \]

      6. log-rec N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left(\log \left(1 - 4 \cdot u\right)\right)\right)} \cdot s \]

      7. lower-log.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\log \left(1 - 4 \cdot u\right)}\right)\right) \cdot s \]

      8. lower-unsound-log.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{\log \left(1 - 4 \cdot u\right)}\right)\right) \cdot s \]

      9. lower-neg.f32 N/A

         \[\leadsto \color{blue}{\left(-\log \left(1 - 4 \cdot u\right)\right)} \cdot s \]

      10. lower-unsound-log.f32 63.8%

          \[\leadsto \left(-\color{blue}{\log \left(1 - 4 \cdot u\right)}\right) \cdot s \]

      11. lift-*.f32 N/A

          \[\leadsto \left(-\log \left(1 - \color{blue}{4 \cdot u}\right)\right) \cdot s \]

      12. *-commutative N/A

          \[\leadsto \left(-\log \left(1 - \color{blue}{u \cdot 4}\right)\right) \cdot s \]

      13. lower-*.f32 63.8%

          \[\leadsto \left(-\log \left(1 - \color{blue}{u \cdot 4}\right)\right) \cdot s \]

   3. Applied rewrites 63.8%

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

Alternative 5: 94.4% accurate, 1.5× speedup

Math

\[u \cdot \left(\left(1 - \frac{u \cdot \left(1.3333333333333333 + u \cdot \left(0.4444444444444444 + -11.851851851851851 \cdot u\right)\right) - 0.5}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 u
 (*
  (-
   1.0
   (/
    (-
     (*
      u
      (+
       1.3333333333333333
       (* u (+ 0.4444444444444444 (* -11.851851851851851 u)))))
     0.5)
    u))
  (*
   (- (* (- (* (* u s) 64.0) (* -21.333333333333332 s)) u) (* -8.0 s))
   u))))

C

float code(float s, float u) {
	return u * ((1.0f - (((u * (1.3333333333333333f + (u * (0.4444444444444444f + (-11.851851851851851f * u))))) - 0.5f) / u)) * ((((((u * s) * 64.0f) - (-21.333333333333332f * s)) * u) - (-8.0f * s)) * u));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * ((1.0e0 - (((u * (1.3333333333333333e0 + (u * (0.4444444444444444e0 + ((-11.851851851851851e0) * u))))) - 0.5e0) / u)) * ((((((u * s) * 64.0e0) - ((-21.333333333333332e0) * s)) * u) - ((-8.0e0) * s)) * u))
end function

Julia

function code(s, u)
	return Float32(u * Float32(Float32(Float32(1.0) - Float32(Float32(Float32(u * Float32(Float32(1.3333333333333333) + Float32(u * Float32(Float32(0.4444444444444444) + Float32(Float32(-11.851851851851851) * u))))) - Float32(0.5)) / u)) * Float32(Float32(Float32(Float32(Float32(Float32(u * s) * Float32(64.0)) - Float32(Float32(-21.333333333333332) * s)) * u) - Float32(Float32(-8.0) * s)) * u)))
end

MATLAB

function tmp = code(s, u)
	tmp = u * ((single(1.0) - (((u * (single(1.3333333333333333) + (u * (single(0.4444444444444444) + (single(-11.851851851851851) * u))))) - single(0.5)) / u)) * ((((((u * s) * single(64.0)) - (single(-21.333333333333332) * s)) * u) - (single(-8.0) * s)) * u));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u} \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \color{blue}{\left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   6. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u} \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   7. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \color{blue}{\left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   8. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64 \cdot \left(s \cdot u\right)}\right)\right)\right) \]

   9. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64} \cdot \left(s \cdot u\right)\right)\right)\right) \]

   10. lower-*.f32 N/A

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \color{blue}{\left(s \cdot u\right)}\right)\right)\right) \]

   11. lower-*.f32 93.1%

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 93.1%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
5. Step-by-step derivation

   1. lift-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   2. +-commutative N/A

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) + \color{blue}{4 \cdot s}\right) \]

   3. lift-*.f32 N/A

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) + 4 \cdot \color{blue}{s}\right) \]

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

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) - \color{blue}{\left(\mathsf{neg}\left(4\right)\right) \cdot s}\right) \]

   5. sub-to-mult N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{\left(\mathsf{neg}\left(4\right)\right) \cdot s}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \cdot \color{blue}{\left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)}\right) \]

   6. lower-unsound-*.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{\left(\mathsf{neg}\left(4\right)\right) \cdot s}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \cdot \color{blue}{\left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)}\right) \]

6. Applied rewrites 92.4%

   \[\leadsto u \cdot \left(\left(1 - \frac{-4 \cdot s}{\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u}\right) \cdot \color{blue}{\left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)}\right) \]

7. Taylor expanded in u around 0

   \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - \color{blue}{-8 \cdot s}\right) \cdot u\right)\right) \]
8. Step-by-step derivation

   1. lower-/.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot \color{blue}{s}\right) \cdot u\right)\right) \]

   2. lower--.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(\frac{4}{3} + u \cdot \left(\frac{4}{9} + \frac{-320}{27} \cdot u\right)\right) - \frac{1}{2}}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   7. lower-*.f32 94.4%

      \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(1.3333333333333333 + u \cdot \left(0.4444444444444444 + -11.851851851851851 \cdot u\right)\right) - 0.5}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

9. Applied rewrites 94.4%

   \[\leadsto u \cdot \left(\left(1 - \frac{u \cdot \left(1.3333333333333333 + u \cdot \left(0.4444444444444444 + -11.851851851851851 \cdot u\right)\right) - 0.5}{u}\right) \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - \color{blue}{-8 \cdot s}\right) \cdot u\right)\right) \]
10. Add Preprocessing

Alternative 6: 94.4% accurate, 1.5× speedup

Math

\[u \cdot \left(\frac{0.5 + u \cdot \left(u \cdot \left(11.851851851851851 \cdot u - 0.4444444444444444\right) - 0.3333333333333333\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 u
 (*
  (/
   (+
    0.5
    (*
     u
     (-
      (* u (- (* 11.851851851851851 u) 0.4444444444444444))
      0.3333333333333333)))
   u)
  (*
   (- (* (- (* (* u s) 64.0) (* -21.333333333333332 s)) u) (* -8.0 s))
   u))))

C

float code(float s, float u) {
	return u * (((0.5f + (u * ((u * ((11.851851851851851f * u) - 0.4444444444444444f)) - 0.3333333333333333f))) / u) * ((((((u * s) * 64.0f) - (-21.333333333333332f * s)) * u) - (-8.0f * s)) * u));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * (((0.5e0 + (u * ((u * ((11.851851851851851e0 * u) - 0.4444444444444444e0)) - 0.3333333333333333e0))) / u) * ((((((u * s) * 64.0e0) - ((-21.333333333333332e0) * s)) * u) - ((-8.0e0) * s)) * u))
end function

Julia

function code(s, u)
	return Float32(u * Float32(Float32(Float32(Float32(0.5) + Float32(u * Float32(Float32(u * Float32(Float32(Float32(11.851851851851851) * u) - Float32(0.4444444444444444))) - Float32(0.3333333333333333)))) / u) * Float32(Float32(Float32(Float32(Float32(Float32(u * s) * Float32(64.0)) - Float32(Float32(-21.333333333333332) * s)) * u) - Float32(Float32(-8.0) * s)) * u)))
end

MATLAB

function tmp = code(s, u)
	tmp = u * (((single(0.5) + (u * ((u * ((single(11.851851851851851) * u) - single(0.4444444444444444))) - single(0.3333333333333333)))) / u) * ((((((u * s) * single(64.0)) - (single(-21.333333333333332) * s)) * u) - (single(-8.0) * s)) * u));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u} \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \color{blue}{\left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   6. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u} \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   7. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \color{blue}{\left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   8. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64 \cdot \left(s \cdot u\right)}\right)\right)\right) \]

   9. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64} \cdot \left(s \cdot u\right)\right)\right)\right) \]

   10. lower-*.f32 N/A

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \color{blue}{\left(s \cdot u\right)}\right)\right)\right) \]

   11. lower-*.f32 93.1%

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 93.1%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
5. Step-by-step derivation

   1. lift-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   2. +-commutative N/A

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) + \color{blue}{4 \cdot s}\right) \]

   3. lift-*.f32 N/A

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) + 4 \cdot \color{blue}{s}\right) \]

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

      \[\leadsto u \cdot \left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right) - \color{blue}{\left(\mathsf{neg}\left(4\right)\right) \cdot s}\right) \]

   5. sub-to-mult N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{\left(\mathsf{neg}\left(4\right)\right) \cdot s}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \cdot \color{blue}{\left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)}\right) \]

   6. lower-unsound-*.f32 N/A

      \[\leadsto u \cdot \left(\left(1 - \frac{\left(\mathsf{neg}\left(4\right)\right) \cdot s}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \cdot \color{blue}{\left(u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)}\right) \]

6. Applied rewrites 92.4%

   \[\leadsto u \cdot \left(\left(1 - \frac{-4 \cdot s}{\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u}\right) \cdot \color{blue}{\left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)}\right) \]

7. Taylor expanded in u around 0

   \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\color{blue}{\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right)} \cdot u\right)\right) \]
8. Step-by-step derivation

   1. lower-/.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - \color{blue}{-8 \cdot s}\right) \cdot u\right)\right) \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - \color{blue}{-8} \cdot s\right) \cdot u\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   4. lower--.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   6. lower--.f32 N/A

      \[\leadsto u \cdot \left(\frac{\frac{1}{2} + u \cdot \left(u \cdot \left(\frac{320}{27} \cdot u - \frac{4}{9}\right) - \frac{1}{3}\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - \frac{-64}{3} \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

   7. lower-*.f32 94.4%

      \[\leadsto u \cdot \left(\frac{0.5 + u \cdot \left(u \cdot \left(11.851851851851851 \cdot u - 0.4444444444444444\right) - 0.3333333333333333\right)}{u} \cdot \left(\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right) \cdot u\right)\right) \]

9. Applied rewrites 94.4%

   \[\leadsto u \cdot \left(\frac{0.5 + u \cdot \left(u \cdot \left(11.851851851851851 \cdot u - 0.4444444444444444\right) - 0.3333333333333333\right)}{u} \cdot \left(\color{blue}{\left(\left(\left(u \cdot s\right) \cdot 64 - -21.333333333333332 \cdot s\right) \cdot u - -8 \cdot s\right)} \cdot u\right)\right) \]
10. Add Preprocessing

Alternative 7: 93.1% accurate, 3.1× speedup

Math

\[s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 s
 (+
  (* (* (- (* (- (* 64.0 u) -21.333333333333332) u) -8.0) u) u)
  (* u 4.0))))

C

float code(float s, float u) {
	return s * (((((((64.0f * u) - -21.333333333333332f) * u) - -8.0f) * u) * u) + (u * 4.0f));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (((((((64.0e0 * u) - (-21.333333333333332e0)) * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
end function

Julia

function code(s, u)
	return Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(Float32(Float32(64.0) * u) - Float32(-21.333333333333332)) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (((((((single(64.0) * u) - single(-21.333333333333332)) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 92.8%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
5. Step-by-step derivation

   1. lift-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lift-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. +-commutative N/A

      \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

   4. distribute-rgt-in N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

   5. *-commutative N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   6. lift-*.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   7. lower-+.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

6. Applied rewrites 93.1%

   \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]
7. Add Preprocessing

Alternative 8: 93.1% accurate, 3.1× speedup

Math

\[u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 u
 (+
  (* 4.0 s)
  (* s (* u (+ 8.0 (* u (+ 21.333333333333332 (* 64.0 u)))))))))

C

float code(float s, float u) {
	return u * ((4.0f * s) + (s * (u * (8.0f + (u * (21.333333333333332f + (64.0f * u)))))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * ((4.0e0 * s) + (s * (u * (8.0e0 + (u * (21.333333333333332e0 + (64.0e0 * u)))))))
end function

Julia

function code(s, u)
	return Float32(u * Float32(Float32(Float32(4.0) * s) + Float32(s * Float32(u * Float32(Float32(8.0) + Float32(u * Float32(Float32(21.333333333333332) + Float32(Float32(64.0) * u))))))))
end

MATLAB

function tmp = code(s, u)
	tmp = u * ((single(4.0) * s) + (s * (u * (single(8.0) + (u * (single(21.333333333333332) + (single(64.0) * u)))))));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u} \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \color{blue}{\left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   6. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u} \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   7. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \color{blue}{\left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   8. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64 \cdot \left(s \cdot u\right)}\right)\right)\right) \]

   9. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64} \cdot \left(s \cdot u\right)\right)\right)\right) \]

   10. lower-*.f32 N/A

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \color{blue}{\left(s \cdot u\right)}\right)\right)\right) \]

   11. lower-*.f32 93.1%

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 93.1%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

5. Taylor expanded in s around 0

   \[\leadsto u \cdot \left(4 \cdot s + s \cdot \color{blue}{\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]
6. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   2. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   3. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   6. lower-*.f32 93.1%

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

7. Applied rewrites 93.1%

   \[\leadsto u \cdot \left(4 \cdot s + s \cdot \color{blue}{\left(u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)}\right) \]
8. Add Preprocessing

Alternative 9: 92.8% accurate, 3.6× speedup

Math

\[s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 s
 (* u (+ 4.0 (* u (+ 8.0 (* u (+ 21.333333333333332 (* 64.0 u)))))))))

C

float code(float s, float u) {
	return s * (u * (4.0f + (u * (8.0f + (u * (21.333333333333332f + (64.0f * u)))))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (u * (4.0e0 + (u * (8.0e0 + (u * (21.333333333333332e0 + (64.0e0 * u)))))))
end function

Julia

function code(s, u)
	return Float32(s * Float32(u * Float32(Float32(4.0) + Float32(u * Float32(Float32(8.0) + Float32(u * Float32(Float32(21.333333333333332) + Float32(Float32(64.0) * u))))))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (u * (single(4.0) + (u * (single(8.0) + (u * (single(21.333333333333332) + (single(64.0) * u)))))));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 92.8%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
5. Add Preprocessing

Alternative 10: 92.8% accurate, 3.6× speedup

Math

\[u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (*
 u
 (* s (+ 4.0 (* u (+ 8.0 (* u (+ 21.333333333333332 (* 64.0 u)))))))))

C

float code(float s, float u) {
	return u * (s * (4.0f + (u * (8.0f + (u * (21.333333333333332f + (64.0f * u)))))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * (s * (4.0e0 + (u * (8.0e0 + (u * (21.333333333333332e0 + (64.0e0 * u)))))))
end function

Julia

function code(s, u)
	return Float32(u * Float32(s * Float32(Float32(4.0) + Float32(u * Float32(Float32(8.0) + Float32(u * Float32(Float32(21.333333333333332) + Float32(Float32(64.0) * u))))))))
end

MATLAB

function tmp = code(s, u)
	tmp = u * (s * (single(4.0) + (u * (single(8.0) + (u * (single(21.333333333333332) + (single(64.0) * u)))))));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u} \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \color{blue}{\left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   6. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u} \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   7. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \color{blue}{\left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   8. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64 \cdot \left(s \cdot u\right)}\right)\right)\right) \]

   9. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64} \cdot \left(s \cdot u\right)\right)\right)\right) \]

   10. lower-*.f32 N/A

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \color{blue}{\left(s \cdot u\right)}\right)\right)\right) \]

   11. lower-*.f32 93.1%

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 93.1%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

5. Taylor expanded in s around 0

   \[\leadsto u \cdot \left(s \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]
6. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto u \cdot \left(s \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

7. Applied rewrites 92.8%

   \[\leadsto u \cdot \left(s \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)}\right) \]
8. Add Preprocessing

Alternative 11: 90.9% accurate, 3.9× speedup

Math

\[s \cdot \left(\left(\left(21.333333333333332 \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (+ (* (* (- (* 21.333333333333332 u) -8.0) u) u) (* u 4.0))))

C

float code(float s, float u) {
	return s * (((((21.333333333333332f * u) - -8.0f) * u) * u) + (u * 4.0f));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (((((21.333333333333332e0 * u) - (-8.0e0)) * u) * u) + (u * 4.0e0))
end function

Julia

function code(s, u)
	return Float32(s * Float32(Float32(Float32(Float32(Float32(Float32(21.333333333333332) * u) - Float32(-8.0)) * u) * u) + Float32(u * Float32(4.0))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (((((single(21.333333333333332) * u) - single(-8.0)) * u) * u) + (u * single(4.0)));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 92.8%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
5. Step-by-step derivation

   1. lift-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lift-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. +-commutative N/A

      \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

   4. distribute-rgt-in N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

   5. *-commutative N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   6. lift-*.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   7. lower-+.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

6. Applied rewrites 93.1%

   \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

7. Taylor expanded in u around 0

   \[\leadsto s \cdot \left(\left(\left(\frac{64}{3} \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right) \]
8. Step-by-step derivation

9. Applied rewrites 90.9%

   \[\leadsto s \cdot \left(\left(\left(21.333333333333332 \cdot u - -8\right) \cdot u\right) \cdot u + u \cdot 4\right) \]
10. Add Preprocessing

Alternative 12: 90.9% accurate, 3.9× speedup

Math

\[u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot 21.333333333333332\right)\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* u (+ (* 4.0 s) (* s (* u (+ 8.0 (* u 21.333333333333332)))))))

C

float code(float s, float u) {
	return u * ((4.0f * s) + (s * (u * (8.0f + (u * 21.333333333333332f)))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * ((4.0e0 * s) + (s * (u * (8.0e0 + (u * 21.333333333333332e0)))))
end function

Julia

function code(s, u)
	return Float32(u * Float32(Float32(Float32(4.0) * s) + Float32(s * Float32(u * Float32(Float32(8.0) + Float32(u * Float32(21.333333333333332)))))))
end

MATLAB

function tmp = code(s, u)
	tmp = u * ((single(4.0) * s) + (s * (u * (single(8.0) + (u * single(21.333333333333332))))));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{u} \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \color{blue}{\left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)}\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   6. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + \color{blue}{u} \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right) \]

   7. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \color{blue}{\left(\frac{64}{3} \cdot s + 64 \cdot \left(s \cdot u\right)\right)}\right)\right) \]

   8. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64 \cdot \left(s \cdot u\right)}\right)\right)\right) \]

   9. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + \color{blue}{64} \cdot \left(s \cdot u\right)\right)\right)\right) \]

   10. lower-*.f32 N/A

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(\frac{64}{3} \cdot s + 64 \cdot \color{blue}{\left(s \cdot u\right)}\right)\right)\right) \]

   11. lower-*.f32 93.1%

       \[\leadsto u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 93.1%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + u \cdot \left(8 \cdot s + u \cdot \left(21.333333333333332 \cdot s + 64 \cdot \left(s \cdot u\right)\right)\right)\right)} \]

5. Taylor expanded in s around 0

   \[\leadsto u \cdot \left(4 \cdot s + s \cdot \color{blue}{\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]
6. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   2. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   3. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   5. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

   6. lower-*.f32 93.1%

      \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right) \]

7. Applied rewrites 93.1%

   \[\leadsto u \cdot \left(4 \cdot s + s \cdot \color{blue}{\left(u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)}\right) \]

8. Taylor expanded in u around 0

   \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot \frac{64}{3}\right)\right)\right) \]
9. Step-by-step derivation

10. Applied rewrites 90.9%

    \[\leadsto u \cdot \left(4 \cdot s + s \cdot \left(u \cdot \left(8 + u \cdot 21.333333333333332\right)\right)\right) \]
11. Add Preprocessing

Alternative 13: 90.7% accurate, 4.6× speedup

Math

\[s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + 21.333333333333332 \cdot u\right)\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (* u (+ 4.0 (* u (+ 8.0 (* 21.333333333333332 u)))))))

C

float code(float s, float u) {
	return s * (u * (4.0f + (u * (8.0f + (21.333333333333332f * u)))));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (u * (4.0e0 + (u * (8.0e0 + (21.333333333333332e0 * u)))))
end function

Julia

function code(s, u)
	return Float32(s * Float32(u * Float32(Float32(4.0) + Float32(u * Float32(Float32(8.0) + Float32(Float32(21.333333333333332) * u))))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (u * (single(4.0) + (u * (single(8.0) + (single(21.333333333333332) * u)))));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + \frac{64}{3} \cdot u\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + \frac{64}{3} \cdot u\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + \frac{64}{3} \cdot u\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + \frac{64}{3} \cdot u\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{\frac{64}{3} \cdot u}\right)\right)\right) \]

   5. lower-*.f32 90.7%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + 21.333333333333332 \cdot \color{blue}{u}\right)\right)\right) \]

4. Applied rewrites 90.7%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + 21.333333333333332 \cdot u\right)\right)\right)} \]
5. Add Preprocessing

Alternative 14: 86.5% accurate, 5.2× speedup

Math

\[s \cdot \left(\left(8 \cdot u\right) \cdot u + u \cdot 4\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (+ (* (* 8.0 u) u) (* u 4.0))))

C

float code(float s, float u) {
	return s * (((8.0f * u) * u) + (u * 4.0f));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (((8.0e0 * u) * u) + (u * 4.0e0))
end function

Julia

function code(s, u)
	return Float32(s * Float32(Float32(Float32(Float32(8.0) * u) * u) + Float32(u * Float32(4.0))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (((single(8.0) * u) * u) + (u * single(4.0)));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 92.8%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]
5. Step-by-step derivation

   1. lift-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lift-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. +-commutative N/A

      \[\leadsto s \cdot \left(u \cdot \left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right) + \color{blue}{4}\right)\right) \]

   4. distribute-rgt-in N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{4 \cdot u}\right) \]

   5. *-commutative N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   6. lift-*.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + u \cdot \color{blue}{4}\right) \]

   7. lower-+.f32 N/A

      \[\leadsto s \cdot \left(\left(u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

6. Applied rewrites 93.1%

   \[\leadsto s \cdot \left(\left(\left(\left(64 \cdot u - -21.333333333333332\right) \cdot u - -8\right) \cdot u\right) \cdot u + \color{blue}{u \cdot 4}\right) \]

7. Taylor expanded in u around 0

   \[\leadsto s \cdot \left(\left(8 \cdot u\right) \cdot u + u \cdot 4\right) \]
8. Step-by-step derivation

9. Applied rewrites 86.5%

   \[\leadsto s \cdot \left(\left(8 \cdot u\right) \cdot u + u \cdot 4\right) \]
10. Add Preprocessing

Alternative 15: 86.5% accurate, 5.2× speedup

Math

\[u \cdot \left(4 \cdot s + 8 \cdot \left(s \cdot u\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* u (+ (* 4.0 s) (* 8.0 (* s u)))))

C

float code(float s, float u) {
	return u * ((4.0f * s) + (8.0f * (s * u)));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = u * ((4.0e0 * s) + (8.0e0 * (s * u)))
end function

Julia

function code(s, u)
	return Float32(u * Float32(Float32(Float32(4.0) * s) + Float32(Float32(8.0) * Float32(s * u))))
end

MATLAB

function tmp = code(s, u)
	tmp = u * ((single(4.0) * s) + (single(8.0) * (s * u)));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + 8 \cdot \left(s \cdot u\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto u \cdot \color{blue}{\left(4 \cdot s + 8 \cdot \left(s \cdot u\right)\right)} \]

   2. lower-+.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{8 \cdot \left(s \cdot u\right)}\right) \]

   3. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + \color{blue}{8} \cdot \left(s \cdot u\right)\right) \]

   4. lower-*.f32 N/A

      \[\leadsto u \cdot \left(4 \cdot s + 8 \cdot \color{blue}{\left(s \cdot u\right)}\right) \]

   5. lower-*.f32 86.5%

      \[\leadsto u \cdot \left(4 \cdot s + 8 \cdot \left(s \cdot \color{blue}{u}\right)\right) \]

4. Applied rewrites 86.5%

   \[\leadsto \color{blue}{u \cdot \left(4 \cdot s + 8 \cdot \left(s \cdot u\right)\right)} \]
5. Add Preprocessing

Alternative 16: 86.3% accurate, 6.6× speedup

Math

\[s \cdot \left(u \cdot \left(4 + 8 \cdot u\right)\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (* u (+ 4.0 (* 8.0 u)))))

C

float code(float s, float u) {
	return s * (u * (4.0f + (8.0f * u)));
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (u * (4.0e0 + (8.0e0 * u)))
end function

Julia

function code(s, u)
	return Float32(s * Float32(u * Float32(Float32(4.0) + Float32(Float32(8.0) * u))))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (u * (single(4.0) + (single(8.0) * u)));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + 8 \cdot u\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + 8 \cdot u\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{8 \cdot u}\right)\right) \]

   3. lower-*.f32 86.3%

      \[\leadsto s \cdot \left(u \cdot \left(4 + 8 \cdot \color{blue}{u}\right)\right) \]

4. Applied rewrites 86.3%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + 8 \cdot u\right)\right)} \]
5. Add Preprocessing

Alternative 17: 73.6% accurate, 11.4× speedup

Math

\[s \cdot \left(u \cdot 4\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* s (* u 4.0)))

C

float code(float s, float u) {
	return s * (u * 4.0f);
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = s * (u * 4.0e0)
end function

Julia

function code(s, u)
	return Float32(s * Float32(u * Float32(4.0)))
end

MATLAB

function tmp = code(s, u)
	tmp = s * (u * single(4.0));
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \color{blue}{\left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)\right)}\right) \]

   2. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + \color{blue}{u \cdot \left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   3. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \color{blue}{\left(8 + u \cdot \left(\frac{64}{3} + 64 \cdot u\right)\right)}\right)\right) \]

   4. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + \color{blue}{u \cdot \left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   5. lower-*.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \color{blue}{\left(\frac{64}{3} + 64 \cdot u\right)}\right)\right)\right) \]

   6. lower-+.f32 N/A

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(\frac{64}{3} + \color{blue}{64 \cdot u}\right)\right)\right)\right) \]

   7. lower-*.f32 92.8%

      \[\leadsto s \cdot \left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot \color{blue}{u}\right)\right)\right)\right) \]

4. Applied rewrites 92.8%

   \[\leadsto s \cdot \color{blue}{\left(u \cdot \left(4 + u \cdot \left(8 + u \cdot \left(21.333333333333332 + 64 \cdot u\right)\right)\right)\right)} \]

5. Taylor expanded in u around 0

   \[\leadsto s \cdot \left(u \cdot 4\right) \]
6. Step-by-step derivation

7. Applied rewrites 73.6%

   \[\leadsto s \cdot \left(u \cdot 4\right) \]
8. Add Preprocessing

Alternative 18: 73.4% accurate, 11.4× speedup

Math

\[4 \cdot \left(s \cdot u\right) \]

FPCore

(FPCore (s u)
  :precision binary32
  (* 4.0 (* s u)))

C

float code(float s, float u) {
	return 4.0f * (s * u);
}

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(s, u)
use fmin_fmax_functions
    real(4), intent (in) :: s
    real(4), intent (in) :: u
    code = 4.0e0 * (s * u)
end function

Julia

function code(s, u)
	return Float32(Float32(4.0) * Float32(s * u))
end

MATLAB

function tmp = code(s, u)
	tmp = single(4.0) * (s * u);
end

Derivation

1. Initial program 61.3%

   \[s \cdot \log \left(\frac{1}{1 - 4 \cdot u}\right) \]

2. Taylor expanded in u around 0

   \[\leadsto \color{blue}{4 \cdot \left(s \cdot u\right)} \]
3. Step-by-step derivation

   1. lower-*.f32 N/A

      \[\leadsto 4 \cdot \color{blue}{\left(s \cdot u\right)} \]

   2. lower-*.f32 73.4%

      \[\leadsto 4 \cdot \left(s \cdot \color{blue}{u}\right) \]

4. Applied rewrites 73.4%

   \[\leadsto \color{blue}{4 \cdot \left(s \cdot u\right)} \]
5. Add Preprocessing

Reproduce

herbie shell --seed 2025258 
(FPCore (s u)
  :name "Disney BSSRDF, sample scattering profile, lower"
  :precision binary32
  :pre (and (and (<= 0.0 s) (<= s 256.0)) (and (<= 2.328306437e-10 u) (<= u 0.25)))
  (* s (log (/ 1.0 (- 1.0 (* 4.0 u))))))