Diagrams.Solve.Polynomial:cubForm from diagrams-solve-0.1, D

Percentage Accurate: 97.9% → 99.6%

Time: 7.6s

Alternatives: 5

Speedup: 1.2×

Specification

Math

\[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 (/ 1.0 3.0)
 (acos (* (/ (* 3.0 (/ x (* y 27.0))) (* z 2.0)) (sqrt t)))))

C

double code(double x, double y, double z, double t) {
	return (1.0 / 3.0) * acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * sqrt(t)));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(x, y, z, t)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = (1.0d0 / 3.0d0) * acos((((3.0d0 * (x / (y * 27.0d0))) / (z * 2.0d0)) * sqrt(t)))
end function

Java

public static double code(double x, double y, double z, double t) {
	return (1.0 / 3.0) * Math.acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * Math.sqrt(t)));
}

Python

def code(x, y, z, t):
	return (1.0 / 3.0) * math.acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * math.sqrt(t)))

Julia

function code(x, y, z, t)
	return Float64(Float64(1.0 / 3.0) * acos(Float64(Float64(Float64(3.0 * Float64(x / Float64(y * 27.0))) / Float64(z * 2.0)) * sqrt(t))))
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = (1.0 / 3.0) * acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * sqrt(t)));
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(1.0 / 3.0), $MachinePrecision] * N[ArcCos[N[(N[(N[(3.0 * N[(x / N[(y * 27.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(z * 2.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

Initial Program: 97.9% accurate, 1.0× speedup

Math

\[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 (/ 1.0 3.0)
 (acos (* (/ (* 3.0 (/ x (* y 27.0))) (* z 2.0)) (sqrt t)))))

C

double code(double x, double y, double z, double t) {
	return (1.0 / 3.0) * acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * sqrt(t)));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(x, y, z, t)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = (1.0d0 / 3.0d0) * acos((((3.0d0 * (x / (y * 27.0d0))) / (z * 2.0d0)) * sqrt(t)))
end function

Java

public static double code(double x, double y, double z, double t) {
	return (1.0 / 3.0) * Math.acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * Math.sqrt(t)));
}

Python

def code(x, y, z, t):
	return (1.0 / 3.0) * math.acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * math.sqrt(t)))

Julia

function code(x, y, z, t)
	return Float64(Float64(1.0 / 3.0) * acos(Float64(Float64(Float64(3.0 * Float64(x / Float64(y * 27.0))) / Float64(z * 2.0)) * sqrt(t))))
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = (1.0 / 3.0) * acos((((3.0 * (x / (y * 27.0))) / (z * 2.0)) * sqrt(t)));
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(1.0 / 3.0), $MachinePrecision] * N[ArcCos[N[(N[(N[(3.0 * N[(x / N[(y * 27.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(z * 2.0), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

Alternative 1: 99.6% accurate, 1.0× speedup

Math

\[\left(\cos^{-1} \left(\left(\frac{x}{z \cdot y} \cdot 0.05555555555555555\right) \cdot \sqrt{t}\right) \cdot \frac{0.3333333333333333}{\pi \cdot \pi}\right) \cdot \left(\pi \cdot \pi\right) \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 (*
  (acos (* (* (/ x (* z y)) 0.05555555555555555) (sqrt t)))
  (/ 0.3333333333333333 (* PI PI)))
 (* PI PI)))

C

double code(double x, double y, double z, double t) {
	return (acos((((x / (z * y)) * 0.05555555555555555) * sqrt(t))) * (0.3333333333333333 / (((double) M_PI) * ((double) M_PI)))) * (((double) M_PI) * ((double) M_PI));
}

Java

public static double code(double x, double y, double z, double t) {
	return (Math.acos((((x / (z * y)) * 0.05555555555555555) * Math.sqrt(t))) * (0.3333333333333333 / (Math.PI * Math.PI))) * (Math.PI * Math.PI);
}

Python

def code(x, y, z, t):
	return (math.acos((((x / (z * y)) * 0.05555555555555555) * math.sqrt(t))) * (0.3333333333333333 / (math.pi * math.pi))) * (math.pi * math.pi)

Julia

function code(x, y, z, t)
	return Float64(Float64(acos(Float64(Float64(Float64(x / Float64(z * y)) * 0.05555555555555555) * sqrt(t))) * Float64(0.3333333333333333 / Float64(pi * pi))) * Float64(pi * pi))
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = (acos((((x / (z * y)) * 0.05555555555555555) * sqrt(t))) * (0.3333333333333333 / (pi * pi))) * (pi * pi);
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(N[ArcCos[N[(N[(N[(x / N[(z * y), $MachinePrecision]), $MachinePrecision] * 0.05555555555555555), $MachinePrecision] * N[Sqrt[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.3333333333333333 / N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(Pi * Pi), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 97.9%

   \[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right)} \]

   2. *-commutative N/A

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

   3. lower-*.f64 97.9%

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

3. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot 0.1111111111111111}{y \cdot \left(z + z\right)}\right) \cdot 0.3333333333333333} \]
4. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}\right)} \cdot \frac{1}{3} \]

   2. lift-/.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   3. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{\color{blue}{x \cdot \frac{1}{9}}}{y \cdot \left(z + z\right)}\right) \cdot \frac{1}{3} \]

   4. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{\color{blue}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   5. times-frac N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\left(\frac{x}{y} \cdot \frac{\frac{1}{9}}{z + z}\right)}\right) \cdot \frac{1}{3} \]

   6. associate-*r* N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\left(\sqrt{t} \cdot \frac{x}{y}\right) \cdot \frac{\frac{1}{9}}{z + z}\right)} \cdot \frac{1}{3} \]

   7. associate-/l* N/A

      \[\leadsto \cos^{-1} \left(\color{blue}{\frac{\sqrt{t} \cdot x}{y}} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   8. *-commutative N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   9. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   10. lift-+.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{z + z}}\right) \cdot \frac{1}{3} \]

   11. count-2 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{2 \cdot z}}\right) \cdot \frac{1}{3} \]

   12. associate-/r* N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \color{blue}{\frac{\frac{\frac{1}{9}}{2}}{z}}\right) \cdot \frac{1}{3} \]

   13. metadata-eval N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\color{blue}{\frac{1}{18}}}{z}\right) \cdot \frac{1}{3} \]

   14. frac-times N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   15. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{\color{blue}{y \cdot z}}\right) \cdot \frac{1}{3} \]

   16. *-commutative N/A

       \[\leadsto \cos^{-1} \left(\frac{\color{blue}{\frac{1}{18} \cdot \left(x \cdot \sqrt{t}\right)}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   17. associate-*r/ N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   18. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \frac{\color{blue}{x \cdot \sqrt{t}}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   19. associate-/l* N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \color{blue}{\left(x \cdot \frac{\sqrt{t}}{y \cdot z}\right)}\right) \cdot \frac{1}{3} \]

   20. associate-*r* N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   21. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   22. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\color{blue}{\left(\frac{1}{18} \cdot x\right)} \cdot \frac{\sqrt{t}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   23. lower-/.f64 98.1%

       \[\leadsto \cos^{-1} \left(\left(0.05555555555555555 \cdot x\right) \cdot \color{blue}{\frac{\sqrt{t}}{y \cdot z}}\right) \cdot 0.3333333333333333 \]

5. Applied rewrites 98.1%

   \[\leadsto \cos^{-1} \color{blue}{\left(\left(0.05555555555555555 \cdot x\right) \cdot \frac{\sqrt{t}}{z \cdot y}\right)} \cdot 0.3333333333333333 \]

7. Applied rewrites 99.6%

   \[\leadsto \color{blue}{\left(0.3333333333333333 \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot 0.05555555555555555\right) \cdot \frac{x}{y \cdot z}\right)}{\pi \cdot \pi}\right) \cdot \left(\left(\left(2 \cdot \pi\right) \cdot \pi\right) \cdot 0.5\right)} \]
8. Step-by-step derivation

9. Applied rewrites 99.6%

   \[\leadsto \color{blue}{\left(\cos^{-1} \left(\left(\frac{x}{z \cdot y} \cdot 0.05555555555555555\right) \cdot \sqrt{t}\right) \cdot \frac{0.3333333333333333}{\pi \cdot \pi}\right) \cdot \left(\pi \cdot \pi\right)} \]
10. Add Preprocessing

Alternative 2: 98.1% accurate, 1.1× speedup

Math

\[\left(0.3333333333333333 \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot 0.05555555555555555\right) \cdot \frac{x}{y \cdot z}\right)}{\pi}\right) \cdot \pi \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 (*
  0.3333333333333333
  (/ (acos (* (* (sqrt t) 0.05555555555555555) (/ x (* y z)))) PI))
 PI))

C

double code(double x, double y, double z, double t) {
	return (0.3333333333333333 * (acos(((sqrt(t) * 0.05555555555555555) * (x / (y * z)))) / ((double) M_PI))) * ((double) M_PI);
}

Java

public static double code(double x, double y, double z, double t) {
	return (0.3333333333333333 * (Math.acos(((Math.sqrt(t) * 0.05555555555555555) * (x / (y * z)))) / Math.PI)) * Math.PI;
}

Python

def code(x, y, z, t):
	return (0.3333333333333333 * (math.acos(((math.sqrt(t) * 0.05555555555555555) * (x / (y * z)))) / math.pi)) * math.pi

Julia

function code(x, y, z, t)
	return Float64(Float64(0.3333333333333333 * Float64(acos(Float64(Float64(sqrt(t) * 0.05555555555555555) * Float64(x / Float64(y * z)))) / pi)) * pi)
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = (0.3333333333333333 * (acos(((sqrt(t) * 0.05555555555555555) * (x / (y * z)))) / pi)) * pi;
end

Wolfram

code[x_, y_, z_, t_] := N[(N[(0.3333333333333333 * N[(N[ArcCos[N[(N[(N[Sqrt[t], $MachinePrecision] * 0.05555555555555555), $MachinePrecision] * N[(x / N[(y * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / Pi), $MachinePrecision]), $MachinePrecision] * Pi), $MachinePrecision]

Derivation

1. Initial program 97.9%

   \[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right)} \]

   2. *-commutative N/A

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

   3. lower-*.f64 97.9%

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

3. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot 0.1111111111111111}{y \cdot \left(z + z\right)}\right) \cdot 0.3333333333333333} \]
4. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}\right)} \cdot \frac{1}{3} \]

   2. lift-/.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   3. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{\color{blue}{x \cdot \frac{1}{9}}}{y \cdot \left(z + z\right)}\right) \cdot \frac{1}{3} \]

   4. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{\color{blue}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   5. times-frac N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\left(\frac{x}{y} \cdot \frac{\frac{1}{9}}{z + z}\right)}\right) \cdot \frac{1}{3} \]

   6. associate-*r* N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\left(\sqrt{t} \cdot \frac{x}{y}\right) \cdot \frac{\frac{1}{9}}{z + z}\right)} \cdot \frac{1}{3} \]

   7. associate-/l* N/A

      \[\leadsto \cos^{-1} \left(\color{blue}{\frac{\sqrt{t} \cdot x}{y}} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   8. *-commutative N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   9. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   10. lift-+.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{z + z}}\right) \cdot \frac{1}{3} \]

   11. count-2 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{2 \cdot z}}\right) \cdot \frac{1}{3} \]

   12. associate-/r* N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \color{blue}{\frac{\frac{\frac{1}{9}}{2}}{z}}\right) \cdot \frac{1}{3} \]

   13. metadata-eval N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\color{blue}{\frac{1}{18}}}{z}\right) \cdot \frac{1}{3} \]

   14. frac-times N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   15. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{\color{blue}{y \cdot z}}\right) \cdot \frac{1}{3} \]

   16. *-commutative N/A

       \[\leadsto \cos^{-1} \left(\frac{\color{blue}{\frac{1}{18} \cdot \left(x \cdot \sqrt{t}\right)}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   17. associate-*r/ N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   18. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \frac{\color{blue}{x \cdot \sqrt{t}}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   19. associate-/l* N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \color{blue}{\left(x \cdot \frac{\sqrt{t}}{y \cdot z}\right)}\right) \cdot \frac{1}{3} \]

   20. associate-*r* N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   21. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   22. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\color{blue}{\left(\frac{1}{18} \cdot x\right)} \cdot \frac{\sqrt{t}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   23. lower-/.f64 98.1%

       \[\leadsto \cos^{-1} \left(\left(0.05555555555555555 \cdot x\right) \cdot \color{blue}{\frac{\sqrt{t}}{y \cdot z}}\right) \cdot 0.3333333333333333 \]

5. Applied rewrites 98.1%

   \[\leadsto \cos^{-1} \color{blue}{\left(\left(0.05555555555555555 \cdot x\right) \cdot \frac{\sqrt{t}}{z \cdot y}\right)} \cdot 0.3333333333333333 \]

7. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\left(0.3333333333333333 \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot 0.05555555555555555\right) \cdot \frac{x}{y \cdot z}\right)}{\pi}\right) \cdot \pi} \]
8. Add Preprocessing

Alternative 3: 98.1% accurate, 1.1× speedup

Math

\[\frac{\cos^{-1} \left(\left(\frac{x}{z \cdot y} \cdot 0.05555555555555555\right) \cdot \sqrt{t}\right)}{3} \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (/ (acos (* (* (/ x (* z y)) 0.05555555555555555) (sqrt t))) 3.0))

C

double code(double x, double y, double z, double t) {
	return acos((((x / (z * y)) * 0.05555555555555555) * sqrt(t))) / 3.0;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(x, y, z, t)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = acos((((x / (z * y)) * 0.05555555555555555d0) * sqrt(t))) / 3.0d0
end function

Java

public static double code(double x, double y, double z, double t) {
	return Math.acos((((x / (z * y)) * 0.05555555555555555) * Math.sqrt(t))) / 3.0;
}

Python

def code(x, y, z, t):
	return math.acos((((x / (z * y)) * 0.05555555555555555) * math.sqrt(t))) / 3.0

Julia

function code(x, y, z, t)
	return Float64(acos(Float64(Float64(Float64(x / Float64(z * y)) * 0.05555555555555555) * sqrt(t))) / 3.0)
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = acos((((x / (z * y)) * 0.05555555555555555) * sqrt(t))) / 3.0;
end

Wolfram

code[x_, y_, z_, t_] := N[(N[ArcCos[N[(N[(N[(x / N[(z * y), $MachinePrecision]), $MachinePrecision] * 0.05555555555555555), $MachinePrecision] * N[Sqrt[t], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / 3.0), $MachinePrecision]

Derivation

1. Initial program 97.9%

   \[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right)} \]

   2. *-commutative N/A

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

   3. lower-*.f64 97.9%

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

3. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot 0.1111111111111111}{y \cdot \left(z + z\right)}\right) \cdot 0.3333333333333333} \]
4. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}\right)} \cdot \frac{1}{3} \]

   2. lift-/.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   3. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{\color{blue}{x \cdot \frac{1}{9}}}{y \cdot \left(z + z\right)}\right) \cdot \frac{1}{3} \]

   4. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{\color{blue}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   5. times-frac N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\left(\frac{x}{y} \cdot \frac{\frac{1}{9}}{z + z}\right)}\right) \cdot \frac{1}{3} \]

   6. associate-*r* N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\left(\sqrt{t} \cdot \frac{x}{y}\right) \cdot \frac{\frac{1}{9}}{z + z}\right)} \cdot \frac{1}{3} \]

   7. associate-/l* N/A

      \[\leadsto \cos^{-1} \left(\color{blue}{\frac{\sqrt{t} \cdot x}{y}} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   8. *-commutative N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   9. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   10. lift-+.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{z + z}}\right) \cdot \frac{1}{3} \]

   11. count-2 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{2 \cdot z}}\right) \cdot \frac{1}{3} \]

   12. associate-/r* N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \color{blue}{\frac{\frac{\frac{1}{9}}{2}}{z}}\right) \cdot \frac{1}{3} \]

   13. metadata-eval N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\color{blue}{\frac{1}{18}}}{z}\right) \cdot \frac{1}{3} \]

   14. frac-times N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   15. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{\color{blue}{y \cdot z}}\right) \cdot \frac{1}{3} \]

   16. *-commutative N/A

       \[\leadsto \cos^{-1} \left(\frac{\color{blue}{\frac{1}{18} \cdot \left(x \cdot \sqrt{t}\right)}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   17. associate-*r/ N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   18. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \frac{\color{blue}{x \cdot \sqrt{t}}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   19. associate-/l* N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \color{blue}{\left(x \cdot \frac{\sqrt{t}}{y \cdot z}\right)}\right) \cdot \frac{1}{3} \]

   20. associate-*r* N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   21. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   22. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\color{blue}{\left(\frac{1}{18} \cdot x\right)} \cdot \frac{\sqrt{t}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   23. lower-/.f64 98.1%

       \[\leadsto \cos^{-1} \left(\left(0.05555555555555555 \cdot x\right) \cdot \color{blue}{\frac{\sqrt{t}}{y \cdot z}}\right) \cdot 0.3333333333333333 \]

5. Applied rewrites 98.1%

   \[\leadsto \cos^{-1} \color{blue}{\left(\left(0.05555555555555555 \cdot x\right) \cdot \frac{\sqrt{t}}{z \cdot y}\right)} \cdot 0.3333333333333333 \]

7. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\left(0.3333333333333333 \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot 0.05555555555555555\right) \cdot \frac{x}{y \cdot z}\right)}{\pi}\right) \cdot \pi} \]
8. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(\frac{1}{3} \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi}\right) \cdot \pi} \]

   2. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(\frac{1}{3} \cdot \frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi}\right)} \cdot \pi \]

   3. associate-*l* N/A

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \left(\frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi} \cdot \pi\right)} \]

   4. *-commutative N/A

      \[\leadsto \color{blue}{\left(\frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi} \cdot \pi\right) \cdot \frac{1}{3}} \]

   5. metadata-eval N/A

      \[\leadsto \left(\frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi} \cdot \pi\right) \cdot \color{blue}{\frac{1}{3}} \]

   6. metadata-eval N/A

      \[\leadsto \left(\frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi} \cdot \pi\right) \cdot \frac{1}{\color{blue}{2 + 1}} \]

   7. mult-flip-rev N/A

      \[\leadsto \color{blue}{\frac{\frac{\cos^{-1} \left(\left(\sqrt{t} \cdot \frac{1}{18}\right) \cdot \frac{x}{y \cdot z}\right)}{\pi} \cdot \pi}{2 + 1}} \]

9. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\frac{\cos^{-1} \left(\left(\frac{x}{z \cdot y} \cdot 0.05555555555555555\right) \cdot \sqrt{t}\right)}{3}} \]
10. Add Preprocessing

Alternative 4: 98.1% accurate, 1.2× speedup

Math

\[\cos^{-1} \left(\left(0.05555555555555555 \cdot x\right) \cdot \frac{\sqrt{t}}{z \cdot y}\right) \cdot 0.3333333333333333 \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 (acos (* (* 0.05555555555555555 x) (/ (sqrt t) (* z y))))
 0.3333333333333333))

C

double code(double x, double y, double z, double t) {
	return acos(((0.05555555555555555 * x) * (sqrt(t) / (z * y)))) * 0.3333333333333333;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(x, y, z, t)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = acos(((0.05555555555555555d0 * x) * (sqrt(t) / (z * y)))) * 0.3333333333333333d0
end function

Java

public static double code(double x, double y, double z, double t) {
	return Math.acos(((0.05555555555555555 * x) * (Math.sqrt(t) / (z * y)))) * 0.3333333333333333;
}

Python

def code(x, y, z, t):
	return math.acos(((0.05555555555555555 * x) * (math.sqrt(t) / (z * y)))) * 0.3333333333333333

Julia

function code(x, y, z, t)
	return Float64(acos(Float64(Float64(0.05555555555555555 * x) * Float64(sqrt(t) / Float64(z * y)))) * 0.3333333333333333)
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = acos(((0.05555555555555555 * x) * (sqrt(t) / (z * y)))) * 0.3333333333333333;
end

Wolfram

code[x_, y_, z_, t_] := N[(N[ArcCos[N[(N[(0.05555555555555555 * x), $MachinePrecision] * N[(N[Sqrt[t], $MachinePrecision] / N[(z * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 0.3333333333333333), $MachinePrecision]

Derivation

1. Initial program 97.9%

   \[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right)} \]

   2. *-commutative N/A

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

   3. lower-*.f64 97.9%

      \[\leadsto \color{blue}{\cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \cdot \frac{1}{3}} \]

3. Applied rewrites 98.1%

   \[\leadsto \color{blue}{\cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot 0.1111111111111111}{y \cdot \left(z + z\right)}\right) \cdot 0.3333333333333333} \]
4. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}\right)} \cdot \frac{1}{3} \]

   2. lift-/.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\frac{x \cdot \frac{1}{9}}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   3. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{\color{blue}{x \cdot \frac{1}{9}}}{y \cdot \left(z + z\right)}\right) \cdot \frac{1}{3} \]

   4. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \frac{x \cdot \frac{1}{9}}{\color{blue}{y \cdot \left(z + z\right)}}\right) \cdot \frac{1}{3} \]

   5. times-frac N/A

      \[\leadsto \cos^{-1} \left(\sqrt{t} \cdot \color{blue}{\left(\frac{x}{y} \cdot \frac{\frac{1}{9}}{z + z}\right)}\right) \cdot \frac{1}{3} \]

   6. associate-*r* N/A

      \[\leadsto \cos^{-1} \color{blue}{\left(\left(\sqrt{t} \cdot \frac{x}{y}\right) \cdot \frac{\frac{1}{9}}{z + z}\right)} \cdot \frac{1}{3} \]

   7. associate-/l* N/A

      \[\leadsto \cos^{-1} \left(\color{blue}{\frac{\sqrt{t} \cdot x}{y}} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   8. *-commutative N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   9. lift-*.f64 N/A

      \[\leadsto \cos^{-1} \left(\frac{\color{blue}{x \cdot \sqrt{t}}}{y} \cdot \frac{\frac{1}{9}}{z + z}\right) \cdot \frac{1}{3} \]

   10. lift-+.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{z + z}}\right) \cdot \frac{1}{3} \]

   11. count-2 N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\frac{1}{9}}{\color{blue}{2 \cdot z}}\right) \cdot \frac{1}{3} \]

   12. associate-/r* N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \color{blue}{\frac{\frac{\frac{1}{9}}{2}}{z}}\right) \cdot \frac{1}{3} \]

   13. metadata-eval N/A

       \[\leadsto \cos^{-1} \left(\frac{x \cdot \sqrt{t}}{y} \cdot \frac{\color{blue}{\frac{1}{18}}}{z}\right) \cdot \frac{1}{3} \]

   14. frac-times N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   15. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{\left(x \cdot \sqrt{t}\right) \cdot \frac{1}{18}}{\color{blue}{y \cdot z}}\right) \cdot \frac{1}{3} \]

   16. *-commutative N/A

       \[\leadsto \cos^{-1} \left(\frac{\color{blue}{\frac{1}{18} \cdot \left(x \cdot \sqrt{t}\right)}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   17. associate-*r/ N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   18. lift-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \frac{\color{blue}{x \cdot \sqrt{t}}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   19. associate-/l* N/A

       \[\leadsto \cos^{-1} \left(\frac{1}{18} \cdot \color{blue}{\left(x \cdot \frac{\sqrt{t}}{y \cdot z}\right)}\right) \cdot \frac{1}{3} \]

   20. associate-*r* N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   21. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \color{blue}{\left(\left(\frac{1}{18} \cdot x\right) \cdot \frac{\sqrt{t}}{y \cdot z}\right)} \cdot \frac{1}{3} \]

   22. lower-*.f64 N/A

       \[\leadsto \cos^{-1} \left(\color{blue}{\left(\frac{1}{18} \cdot x\right)} \cdot \frac{\sqrt{t}}{y \cdot z}\right) \cdot \frac{1}{3} \]

   23. lower-/.f64 98.1%

       \[\leadsto \cos^{-1} \left(\left(0.05555555555555555 \cdot x\right) \cdot \color{blue}{\frac{\sqrt{t}}{y \cdot z}}\right) \cdot 0.3333333333333333 \]

5. Applied rewrites 98.1%

   \[\leadsto \cos^{-1} \color{blue}{\left(\left(0.05555555555555555 \cdot x\right) \cdot \frac{\sqrt{t}}{z \cdot y}\right)} \cdot 0.3333333333333333 \]
6. Add Preprocessing

Alternative 5: 96.9% accurate, 1.2× speedup

Math

\[0.3333333333333333 \cdot \cos^{-1} \left(0.05555555555555555 \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

FPCore

(FPCore (x y z t)
  :precision binary64
  (*
 0.3333333333333333
 (acos (* 0.05555555555555555 (/ (* x (sqrt t)) (* y z))))))

C

double code(double x, double y, double z, double t) {
	return 0.3333333333333333 * acos((0.05555555555555555 * ((x * sqrt(t)) / (y * z))));
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

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

real(8) function code(x, y, z, t)
use fmin_fmax_functions
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8), intent (in) :: z
    real(8), intent (in) :: t
    code = 0.3333333333333333d0 * acos((0.05555555555555555d0 * ((x * sqrt(t)) / (y * z))))
end function

Java

public static double code(double x, double y, double z, double t) {
	return 0.3333333333333333 * Math.acos((0.05555555555555555 * ((x * Math.sqrt(t)) / (y * z))));
}

Python

def code(x, y, z, t):
	return 0.3333333333333333 * math.acos((0.05555555555555555 * ((x * math.sqrt(t)) / (y * z))))

Julia

function code(x, y, z, t)
	return Float64(0.3333333333333333 * acos(Float64(0.05555555555555555 * Float64(Float64(x * sqrt(t)) / Float64(y * z)))))
end

MATLAB

function tmp = code(x, y, z, t)
	tmp = 0.3333333333333333 * acos((0.05555555555555555 * ((x * sqrt(t)) / (y * z))));
end

Wolfram

code[x_, y_, z_, t_] := N[(0.3333333333333333 * N[ArcCos[N[(0.05555555555555555 * N[(N[(x * N[Sqrt[t], $MachinePrecision]), $MachinePrecision] / N[(y * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 97.9%

   \[\frac{1}{3} \cdot \cos^{-1} \left(\frac{3 \cdot \frac{x}{y \cdot 27}}{z \cdot 2} \cdot \sqrt{t}\right) \]

2. Taylor expanded in x around 0

   \[\leadsto \color{blue}{\frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \]
3. Step-by-step derivation

   1. metadata-eval N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \]

   2. lower-*.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \color{blue}{\cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \]

   3. metadata-eval N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \color{blue}{\left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \]

   4. lower-acos.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

   5. lower-*.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

   6. lower-/.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

   7. lower-*.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

   8. lower-sqrt.f64 N/A

      \[\leadsto \frac{1}{3} \cdot \cos^{-1} \left(\frac{1}{18} \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

   9. lower-*.f64 96.9%

      \[\leadsto 0.3333333333333333 \cdot \cos^{-1} \left(0.05555555555555555 \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right) \]

4. Applied rewrites 96.9%

   \[\leadsto \color{blue}{0.3333333333333333 \cdot \cos^{-1} \left(0.05555555555555555 \cdot \frac{x \cdot \sqrt{t}}{y \cdot z}\right)} \]
5. Add Preprocessing

Reproduce

herbie shell --seed 2025258 
(FPCore (x y z t)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, D"
  :precision binary64
  (* (/ 1.0 3.0) (acos (* (/ (* 3.0 (/ x (* y 27.0))) (* z 2.0)) (sqrt t)))))