Radioactive exchange between two surfaces

Percentage Accurate: 86.4% → 99.9%

Time: 4.6s

Alternatives: 7

Speedup: 7.4×

• 61.2% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\begin{array}{l} \\ {x}^{4} - {y}^{4} \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (- (pow x 4.0) (pow y 4.0)))

C

double code(double x, double y) {
	return pow(x, 4.0) - pow(y, 4.0);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x ** 4.0d0) - (y ** 4.0d0)
end function

Java

public static double code(double x, double y) {
	return Math.pow(x, 4.0) - Math.pow(y, 4.0);
}

Python

def code(x, y):
	return math.pow(x, 4.0) - math.pow(y, 4.0)

Julia

function code(x, y)
	return Float64((x ^ 4.0) - (y ^ 4.0))
end

MATLAB

function tmp = code(x, y)
	tmp = (x ^ 4.0) - (y ^ 4.0);
end

Wolfram

code[x_, y_] := N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]

Initial Program: 86.4% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ {x}^{4} - {y}^{4} \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (- (pow x 4.0) (pow y 4.0)))

C

double code(double x, double y) {
	return pow(x, 4.0) - pow(y, 4.0);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x ** 4.0d0) - (y ** 4.0d0)
end function

Java

public static double code(double x, double y) {
	return Math.pow(x, 4.0) - Math.pow(y, 4.0);
}

Python

def code(x, y):
	return math.pow(x, 4.0) - math.pow(y, 4.0)

Julia

function code(x, y)
	return Float64((x ^ 4.0) - (y ^ 4.0))
end

MATLAB

function tmp = code(x, y)
	tmp = (x ^ 4.0) - (y ^ 4.0);
end

Wolfram

code[x_, y_] := N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision]

Alternative 1: 99.9% accurate, 7.4× speedup

Math

\[\begin{array}{l} \\ \left(\left(y + x\right) \cdot \mathsf{fma}\left(y, y, x \cdot x\right)\right) \cdot \left(x - y\right) \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (* (* (+ y x) (fma y y (* x x))) (- x y)))

C

double code(double x, double y) {
	return ((y + x) * fma(y, y, (x * x))) * (x - y);
}

Julia

function code(x, y)
	return Float64(Float64(Float64(y + x) * fma(y, y, Float64(x * x))) * Float64(x - y))
end

Wolfram

code[x_, y_] := N[(N[(N[(y + x), $MachinePrecision] * N[(y * y + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[{x}^{4} - {y}^{4} \]
2. Add Preprocessing
3. Step-by-step derivation

   1. lift--.f64 N/A

      \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

   2. sub-neg N/A

      \[\leadsto \color{blue}{{x}^{4} + \left(\mathsf{neg}\left({y}^{4}\right)\right)} \]

   3. +-commutative N/A

      \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{4}\right)\right) + {x}^{4}} \]

   4. lift-pow.f64 N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{4}}\right)\right) + {x}^{4} \]

   5. sqr-pow N/A

      \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}}\right)\right) + {x}^{4} \]

   6. distribute-lft-neg-in N/A

      \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\left(\frac{4}{2}\right)}} + {x}^{4} \]

   7. metadata-eval N/A

      \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\color{blue}{2}} + {x}^{4} \]

   8. unpow2 N/A

      \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} + {x}^{4} \]

   9. associate-*r* N/A

      \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y\right) \cdot y} + {x}^{4} \]

   10. lower-fma.f64 N/A

       \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y, y, {x}^{4}\right)} \]

   11. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y}, y, {x}^{4}\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\color{blue}{2}}\right)\right) \cdot y, y, {x}^{4}\right) \]

   13. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot y, y, {x}^{4}\right) \]

   14. distribute-lft-neg-in N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

   15. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

   16. lower-neg.f64 87.8

       \[\leadsto \mathsf{fma}\left(\left(\color{blue}{\left(-y\right)} \cdot y\right) \cdot y, y, {x}^{4}\right) \]

4. Applied rewrites 87.8%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{4}\right)} \]
5. Step-by-step derivation

   1. lift-pow.f64 N/A

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{x}^{4}}\right) \]

   2. metadata-eval N/A

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{\color{blue}{\left(2 \cdot 2\right)}}\right) \]

   3. pow-pow N/A

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{\left({x}^{2}\right)}^{2}}\right) \]

   4. pow2 N/A

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

   5. lift-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

   6. pow2 N/A

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

   7. lower-*.f64 87.7

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

6. Applied rewrites 87.7%

   \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right) \]
7. Step-by-step derivation

   1. lift-fma.f64 N/A

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

   2. +-commutative N/A

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

   3. lift-*.f64 N/A

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

   4. associate-*l* N/A

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

   5. lift-*.f64 N/A

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

   6. lift-neg.f64 N/A

      \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\color{blue}{\left(\mathsf{neg}\left(y\right)\right)} \cdot y\right) \cdot \left(y \cdot y\right) \]

   7. distribute-lft-neg-out N/A

      \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \color{blue}{\left(\mathsf{neg}\left(y \cdot y\right)\right)} \cdot \left(y \cdot y\right) \]

   8. lift-*.f64 N/A

      \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot \left(y \cdot y\right) \]

   9. lift-*.f64 N/A

      \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(y \cdot y\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} \]

   10. cancel-sign-sub-inv N/A

       \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right) - \left(y \cdot y\right) \cdot \left(y \cdot y\right)} \]

   11. lift-*.f64 N/A

       \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} - \left(y \cdot y\right) \cdot \left(y \cdot y\right) \]

   12. difference-of-squares N/A

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

   13. +-commutative N/A

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

   14. lift-*.f64 N/A

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

   15. lift-fma.f64 N/A

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

   16. lift-*.f64 N/A

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

   17. lift-*.f64 N/A

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

   18. difference-of-squares N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   19. lift-+.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

   20. lift--.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

8. Applied rewrites 99.8%

   \[\leadsto \color{blue}{\left(x - y\right) \cdot \left(\left(x + y\right) \cdot \mathsf{fma}\left(y, y, x \cdot x\right)\right)} \]

9. Final simplification 99.8%

   \[\leadsto \left(\left(y + x\right) \cdot \mathsf{fma}\left(y, y, x \cdot x\right)\right) \cdot \left(x - y\right) \]
10. Add Preprocessing

Alternative 2: 99.1% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;{x}^{4} - {y}^{4} \leq -5 \cdot 10^{-264}:\\ \;\;\;\;\left(\left(y + x\right) \cdot \left(y \cdot y\right)\right) \cdot \left(x - y\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right) \cdot \left(x - y\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x y)
 :precision binary64
 (if (<= (- (pow x 4.0) (pow y 4.0)) -5e-264)
   (* (* (+ y x) (* y y)) (- x y))
   (* (* (* (+ y x) x) x) (- x y))))

C

double code(double x, double y) {
	double tmp;
	if ((pow(x, 4.0) - pow(y, 4.0)) <= -5e-264) {
		tmp = ((y + x) * (y * y)) * (x - y);
	} else {
		tmp = (((y + x) * x) * x) * (x - y);
	}
	return tmp;
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8) :: tmp
    if (((x ** 4.0d0) - (y ** 4.0d0)) <= (-5d-264)) then
        tmp = ((y + x) * (y * y)) * (x - y)
    else
        tmp = (((y + x) * x) * x) * (x - y)
    end if
    code = tmp
end function

Java

public static double code(double x, double y) {
	double tmp;
	if ((Math.pow(x, 4.0) - Math.pow(y, 4.0)) <= -5e-264) {
		tmp = ((y + x) * (y * y)) * (x - y);
	} else {
		tmp = (((y + x) * x) * x) * (x - y);
	}
	return tmp;
}

Python

def code(x, y):
	tmp = 0
	if (math.pow(x, 4.0) - math.pow(y, 4.0)) <= -5e-264:
		tmp = ((y + x) * (y * y)) * (x - y)
	else:
		tmp = (((y + x) * x) * x) * (x - y)
	return tmp

Julia

function code(x, y)
	tmp = 0.0
	if (Float64((x ^ 4.0) - (y ^ 4.0)) <= -5e-264)
		tmp = Float64(Float64(Float64(y + x) * Float64(y * y)) * Float64(x - y));
	else
		tmp = Float64(Float64(Float64(Float64(y + x) * x) * x) * Float64(x - y));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y)
	tmp = 0.0;
	if (((x ^ 4.0) - (y ^ 4.0)) <= -5e-264)
		tmp = ((y + x) * (y * y)) * (x - y);
	else
		tmp = (((y + x) * x) * x) * (x - y);
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_] := If[LessEqual[N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision], -5e-264], N[(N[(N[(y + x), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(y + x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (pow.f64 x #s(literal 4 binary64)) (pow.f64 y #s(literal 4 binary64))) < -5.0000000000000001e-264

   1. Initial program 100.0%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. lift-pow.f64 N/A

         \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

      3. sqr-pow N/A

         \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

      4. lift-pow.f64 N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

      5. sqr-pow N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

      6. difference-of-squares N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      7. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      8. +-commutative N/A

         \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      9. metadata-eval N/A

         \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      10. unpow2 N/A

          \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      11. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      15. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      16. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      17. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

      18. unpow2 N/A

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

      19. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      20. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      21. lower-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      22. lower--.f64 99.7

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   4. Applied rewrites 99.7%

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   6. Applied rewrites 99.7%

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

   7. Taylor expanded in x around 0

      \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
   8. Step-by-step derivation

      1. unpow2 N/A

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

      2. lower-*.f64 99.7

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

   9. Applied rewrites 99.7%

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

       1. lift-*.f64 N/A

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

       2. lift-*.f64 N/A

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

       3. associate-*r* N/A

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

       4. *-commutative N/A

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

       5. lower-*.f64 N/A

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

       6. lower-*.f64 99.8

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

       7. lift-+.f64 N/A

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

       8. +-commutative N/A

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

       9. lower-+.f64 99.8

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

   11. Applied rewrites 99.8%

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

   if -5.0000000000000001e-264 < (-.f64 (pow.f64 x #s(literal 4 binary64)) (pow.f64 y #s(literal 4 binary64)))

   1. Initial program 79.9%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. sub-neg N/A

         \[\leadsto \color{blue}{{x}^{4} + \left(\mathsf{neg}\left({y}^{4}\right)\right)} \]

      3. +-commutative N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{4}\right)\right) + {x}^{4}} \]

      4. lift-pow.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{4}}\right)\right) + {x}^{4} \]

      5. sqr-pow N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}}\right)\right) + {x}^{4} \]

      6. distribute-lft-neg-in N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\left(\frac{4}{2}\right)}} + {x}^{4} \]

      7. metadata-eval N/A

         \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\color{blue}{2}} + {x}^{4} \]

      8. unpow2 N/A

         \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} + {x}^{4} \]

      9. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y\right) \cdot y} + {x}^{4} \]

      10. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y, y, {x}^{4}\right)} \]

      11. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y}, y, {x}^{4}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\color{blue}{2}}\right)\right) \cdot y, y, {x}^{4}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot y, y, {x}^{4}\right) \]

      14. distribute-lft-neg-in N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

      16. lower-neg.f64 81.1

          \[\leadsto \mathsf{fma}\left(\left(\color{blue}{\left(-y\right)} \cdot y\right) \cdot y, y, {x}^{4}\right) \]

   4. Applied rewrites 81.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{4}\right)} \]
   5. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{x}^{4}}\right) \]

      2. metadata-eval N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{\color{blue}{\left(2 \cdot 2\right)}}\right) \]

      3. pow-pow N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{\left({x}^{2}\right)}^{2}}\right) \]

      4. pow2 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

      5. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

      6. pow2 N/A

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

      7. lower-*.f64 80.9

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

   6. Applied rewrites 80.9%

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right) \]
   7. Step-by-step derivation

      1. lift-fma.f64 N/A

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

      2. +-commutative N/A

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

      3. lift-*.f64 N/A

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

      4. associate-*l* N/A

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

      5. lift-*.f64 N/A

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

      6. lift-neg.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\color{blue}{\left(\mathsf{neg}\left(y\right)\right)} \cdot y\right) \cdot \left(y \cdot y\right) \]

      7. distribute-lft-neg-out N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \color{blue}{\left(\mathsf{neg}\left(y \cdot y\right)\right)} \cdot \left(y \cdot y\right) \]

      8. lift-*.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot \left(y \cdot y\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(y \cdot y\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} \]

      10. cancel-sign-sub-inv N/A

          \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right) - \left(y \cdot y\right) \cdot \left(y \cdot y\right)} \]

      11. lift-*.f64 N/A

          \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} - \left(y \cdot y\right) \cdot \left(y \cdot y\right) \]

      12. difference-of-squares N/A

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

      13. +-commutative N/A

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

      14. lift-*.f64 N/A

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

      15. lift-fma.f64 N/A

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

      16. lift-*.f64 N/A

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

      17. lift-*.f64 N/A

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

      18. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      19. lift-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      20. lift--.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   8. Applied rewrites 99.9%

      \[\leadsto \color{blue}{\left(x - y\right) \cdot \left(\left(x + y\right) \cdot \mathsf{fma}\left(y, y, x \cdot x\right)\right)} \]

   9. Taylor expanded in y around 0

      \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{2} \cdot y + {x}^{3}\right)} \]
   10. Step-by-step derivation

       1. +-commutative N/A

          \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{3} + {x}^{2} \cdot y\right)} \]

       2. unpow3 N/A

          \[\leadsto \left(x - y\right) \cdot \left(\color{blue}{\left(x \cdot x\right) \cdot x} + {x}^{2} \cdot y\right) \]

       3. unpow2 N/A

          \[\leadsto \left(x - y\right) \cdot \left(\color{blue}{{x}^{2}} \cdot x + {x}^{2} \cdot y\right) \]

       4. distribute-lft-out N/A

          \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{2} \cdot \left(x + y\right)\right)} \]

       5. unpow2 N/A

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

       6. associate-*r* N/A

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

       7. *-commutative N/A

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

       8. associate-*r* N/A

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

       9. lower-*.f64 N/A

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

       10. *-commutative N/A

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

       11. lower-*.f64 N/A

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

       12. +-commutative N/A

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

       13. lower-+.f64 99.9

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

   11. Applied rewrites 99.9%

       \[\leadsto \left(x - y\right) \cdot \color{blue}{\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 99.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;{x}^{4} - {y}^{4} \leq -5 \cdot 10^{-264}:\\ \;\;\;\;\left(\left(y + x\right) \cdot \left(y \cdot y\right)\right) \cdot \left(x - y\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right) \cdot \left(x - y\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 3: 99.1% accurate, 0.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;{x}^{4} - {y}^{4} \leq -5 \cdot 10^{-264}:\\ \;\;\;\;\left(\left(-y\right) \cdot y\right) \cdot \left(y \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right) \cdot \left(x - y\right)\\ \end{array} \end{array} \]

FPCore

(FPCore (x y)
 :precision binary64
 (if (<= (- (pow x 4.0) (pow y 4.0)) -5e-264)
   (* (* (- y) y) (* y y))
   (* (* (* (+ y x) x) x) (- x y))))

C

double code(double x, double y) {
	double tmp;
	if ((pow(x, 4.0) - pow(y, 4.0)) <= -5e-264) {
		tmp = (-y * y) * (y * y);
	} else {
		tmp = (((y + x) * x) * x) * (x - y);
	}
	return tmp;
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8) :: tmp
    if (((x ** 4.0d0) - (y ** 4.0d0)) <= (-5d-264)) then
        tmp = (-y * y) * (y * y)
    else
        tmp = (((y + x) * x) * x) * (x - y)
    end if
    code = tmp
end function

Java

public static double code(double x, double y) {
	double tmp;
	if ((Math.pow(x, 4.0) - Math.pow(y, 4.0)) <= -5e-264) {
		tmp = (-y * y) * (y * y);
	} else {
		tmp = (((y + x) * x) * x) * (x - y);
	}
	return tmp;
}

Python

def code(x, y):
	tmp = 0
	if (math.pow(x, 4.0) - math.pow(y, 4.0)) <= -5e-264:
		tmp = (-y * y) * (y * y)
	else:
		tmp = (((y + x) * x) * x) * (x - y)
	return tmp

Julia

function code(x, y)
	tmp = 0.0
	if (Float64((x ^ 4.0) - (y ^ 4.0)) <= -5e-264)
		tmp = Float64(Float64(Float64(-y) * y) * Float64(y * y));
	else
		tmp = Float64(Float64(Float64(Float64(y + x) * x) * x) * Float64(x - y));
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y)
	tmp = 0.0;
	if (((x ^ 4.0) - (y ^ 4.0)) <= -5e-264)
		tmp = (-y * y) * (y * y);
	else
		tmp = (((y + x) * x) * x) * (x - y);
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_] := If[LessEqual[N[(N[Power[x, 4.0], $MachinePrecision] - N[Power[y, 4.0], $MachinePrecision]), $MachinePrecision], -5e-264], N[(N[((-y) * y), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(y + x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision]]

Derivation

1. Split input into 2 regimes

2. if (-.f64 (pow.f64 x #s(literal 4 binary64)) (pow.f64 y #s(literal 4 binary64))) < -5.0000000000000001e-264

   1. Initial program 100.0%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. lift-pow.f64 N/A

         \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

      3. sqr-pow N/A

         \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

      4. lift-pow.f64 N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

      5. sqr-pow N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

      6. difference-of-squares N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      7. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      8. +-commutative N/A

         \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      9. metadata-eval N/A

         \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      10. unpow2 N/A

          \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      11. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      15. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      16. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      17. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

      18. unpow2 N/A

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

      19. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      20. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      21. lower-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      22. lower--.f64 99.7

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   4. Applied rewrites 99.7%

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   6. Applied rewrites 99.7%

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

   7. Taylor expanded in x around 0

      \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
   8. Step-by-step derivation

      1. unpow2 N/A

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

      2. lower-*.f64 99.7

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

   9. Applied rewrites 99.7%

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

   10. Taylor expanded in x around 0

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

       1. unpow2 N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left(-1 \cdot \color{blue}{\left(y \cdot y\right)}\right) \]

       2. associate-*r* N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-1 \cdot y\right) \cdot y\right)} \]

       3. lower-*.f64 N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-1 \cdot y\right) \cdot y\right)} \]

       4. mul-1-neg N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left(\color{blue}{\left(\mathsf{neg}\left(y\right)\right)} \cdot y\right) \]

       5. lower-neg.f64 99.7

          \[\leadsto \left(y \cdot y\right) \cdot \left(\color{blue}{\left(-y\right)} \cdot y\right) \]

   12. Applied rewrites 99.7%

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-y\right) \cdot y\right)} \]

   if -5.0000000000000001e-264 < (-.f64 (pow.f64 x #s(literal 4 binary64)) (pow.f64 y #s(literal 4 binary64)))

   1. Initial program 79.9%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. sub-neg N/A

         \[\leadsto \color{blue}{{x}^{4} + \left(\mathsf{neg}\left({y}^{4}\right)\right)} \]

      3. +-commutative N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{4}\right)\right) + {x}^{4}} \]

      4. lift-pow.f64 N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{4}}\right)\right) + {x}^{4} \]

      5. sqr-pow N/A

         \[\leadsto \left(\mathsf{neg}\left(\color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}}\right)\right) + {x}^{4} \]

      6. distribute-lft-neg-in N/A

         \[\leadsto \color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\left(\frac{4}{2}\right)}} + {x}^{4} \]

      7. metadata-eval N/A

         \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot {y}^{\color{blue}{2}} + {x}^{4} \]

      8. unpow2 N/A

         \[\leadsto \left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} + {x}^{4} \]

      9. associate-*r* N/A

         \[\leadsto \color{blue}{\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y\right) \cdot y} + {x}^{4} \]

      10. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y, y, {x}^{4}\right)} \]

      11. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\mathsf{neg}\left({y}^{\left(\frac{4}{2}\right)}\right)\right) \cdot y}, y, {x}^{4}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left({y}^{\color{blue}{2}}\right)\right) \cdot y, y, {x}^{4}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(\left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot y, y, {x}^{4}\right) \]

      14. distribute-lft-neg-in N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

      15. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(\color{blue}{\left(\left(\mathsf{neg}\left(y\right)\right) \cdot y\right)} \cdot y, y, {x}^{4}\right) \]

      16. lower-neg.f64 81.1

          \[\leadsto \mathsf{fma}\left(\left(\color{blue}{\left(-y\right)} \cdot y\right) \cdot y, y, {x}^{4}\right) \]

   4. Applied rewrites 81.1%

      \[\leadsto \color{blue}{\mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{4}\right)} \]
   5. Step-by-step derivation

      1. lift-pow.f64 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{x}^{4}}\right) \]

      2. metadata-eval N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {x}^{\color{blue}{\left(2 \cdot 2\right)}}\right) \]

      3. pow-pow N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{{\left({x}^{2}\right)}^{2}}\right) \]

      4. pow2 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

      5. lift-*.f64 N/A

         \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, {\color{blue}{\left(x \cdot x\right)}}^{2}\right) \]

      6. pow2 N/A

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

      7. lower-*.f64 80.9

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

   6. Applied rewrites 80.9%

      \[\leadsto \mathsf{fma}\left(\left(\left(-y\right) \cdot y\right) \cdot y, y, \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right) \]
   7. Step-by-step derivation

      1. lift-fma.f64 N/A

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

      2. +-commutative N/A

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

      3. lift-*.f64 N/A

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

      4. associate-*l* N/A

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

      5. lift-*.f64 N/A

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

      6. lift-neg.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\color{blue}{\left(\mathsf{neg}\left(y\right)\right)} \cdot y\right) \cdot \left(y \cdot y\right) \]

      7. distribute-lft-neg-out N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \color{blue}{\left(\mathsf{neg}\left(y \cdot y\right)\right)} \cdot \left(y \cdot y\right) \]

      8. lift-*.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(\color{blue}{y \cdot y}\right)\right) \cdot \left(y \cdot y\right) \]

      9. lift-*.f64 N/A

         \[\leadsto \left(x \cdot x\right) \cdot \left(x \cdot x\right) + \left(\mathsf{neg}\left(y \cdot y\right)\right) \cdot \color{blue}{\left(y \cdot y\right)} \]

      10. cancel-sign-sub-inv N/A

          \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right) - \left(y \cdot y\right) \cdot \left(y \cdot y\right)} \]

      11. lift-*.f64 N/A

          \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} - \left(y \cdot y\right) \cdot \left(y \cdot y\right) \]

      12. difference-of-squares N/A

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

      13. +-commutative N/A

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

      14. lift-*.f64 N/A

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

      15. lift-fma.f64 N/A

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

      16. lift-*.f64 N/A

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

      17. lift-*.f64 N/A

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

      18. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      19. lift-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      20. lift--.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   8. Applied rewrites 99.9%

      \[\leadsto \color{blue}{\left(x - y\right) \cdot \left(\left(x + y\right) \cdot \mathsf{fma}\left(y, y, x \cdot x\right)\right)} \]

   9. Taylor expanded in y around 0

      \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{2} \cdot y + {x}^{3}\right)} \]
   10. Step-by-step derivation

       1. +-commutative N/A

          \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{3} + {x}^{2} \cdot y\right)} \]

       2. unpow3 N/A

          \[\leadsto \left(x - y\right) \cdot \left(\color{blue}{\left(x \cdot x\right) \cdot x} + {x}^{2} \cdot y\right) \]

       3. unpow2 N/A

          \[\leadsto \left(x - y\right) \cdot \left(\color{blue}{{x}^{2}} \cdot x + {x}^{2} \cdot y\right) \]

       4. distribute-lft-out N/A

          \[\leadsto \left(x - y\right) \cdot \color{blue}{\left({x}^{2} \cdot \left(x + y\right)\right)} \]

       5. unpow2 N/A

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

       6. associate-*r* N/A

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

       7. *-commutative N/A

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

       8. associate-*r* N/A

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

       9. lower-*.f64 N/A

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

       10. *-commutative N/A

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

       11. lower-*.f64 N/A

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

       12. +-commutative N/A

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

       13. lower-+.f64 99.9

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

   11. Applied rewrites 99.9%

       \[\leadsto \left(x - y\right) \cdot \color{blue}{\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 99.8%

   \[\leadsto \begin{array}{l} \mathbf{if}\;{x}^{4} - {y}^{4} \leq -5 \cdot 10^{-264}:\\ \;\;\;\;\left(\left(-y\right) \cdot y\right) \cdot \left(y \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;\left(\left(\left(y + x\right) \cdot x\right) \cdot x\right) \cdot \left(x - y\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 4: 70.3% accurate, 6.9× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \left(x \cdot x\right) \cdot \left(y \cdot y\right)\\ \mathbf{if}\;x \leq -4.2 \cdot 10^{+105}:\\ \;\;\;\;t\_0\\ \mathbf{elif}\;x \leq 3.3 \cdot 10^{+127}:\\ \;\;\;\;\left(\left(-y\right) \cdot y\right) \cdot \left(y \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;t\_0\\ \end{array} \end{array} \]

FPCore

(FPCore (x y)
 :precision binary64
 (let* ((t_0 (* (* x x) (* y y))))
   (if (<= x -4.2e+105) t_0 (if (<= x 3.3e+127) (* (* (- y) y) (* y y)) t_0))))

C

double code(double x, double y) {
	double t_0 = (x * x) * (y * y);
	double tmp;
	if (x <= -4.2e+105) {
		tmp = t_0;
	} else if (x <= 3.3e+127) {
		tmp = (-y * y) * (y * y);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    real(8) :: t_0
    real(8) :: tmp
    t_0 = (x * x) * (y * y)
    if (x <= (-4.2d+105)) then
        tmp = t_0
    else if (x <= 3.3d+127) then
        tmp = (-y * y) * (y * y)
    else
        tmp = t_0
    end if
    code = tmp
end function

Java

public static double code(double x, double y) {
	double t_0 = (x * x) * (y * y);
	double tmp;
	if (x <= -4.2e+105) {
		tmp = t_0;
	} else if (x <= 3.3e+127) {
		tmp = (-y * y) * (y * y);
	} else {
		tmp = t_0;
	}
	return tmp;
}

Python

def code(x, y):
	t_0 = (x * x) * (y * y)
	tmp = 0
	if x <= -4.2e+105:
		tmp = t_0
	elif x <= 3.3e+127:
		tmp = (-y * y) * (y * y)
	else:
		tmp = t_0
	return tmp

Julia

function code(x, y)
	t_0 = Float64(Float64(x * x) * Float64(y * y))
	tmp = 0.0
	if (x <= -4.2e+105)
		tmp = t_0;
	elseif (x <= 3.3e+127)
		tmp = Float64(Float64(Float64(-y) * y) * Float64(y * y));
	else
		tmp = t_0;
	end
	return tmp
end

MATLAB

function tmp_2 = code(x, y)
	t_0 = (x * x) * (y * y);
	tmp = 0.0;
	if (x <= -4.2e+105)
		tmp = t_0;
	elseif (x <= 3.3e+127)
		tmp = (-y * y) * (y * y);
	else
		tmp = t_0;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_, y_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -4.2e+105], t$95$0, If[LessEqual[x, 3.3e+127], N[(N[((-y) * y), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision], t$95$0]]]

Derivation

1. Split input into 2 regimes

2. if x < -4.2000000000000002e105 or 3.29999999999999977e127 < x

   1. Initial program 61.4%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. lift-pow.f64 N/A

         \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

      3. sqr-pow N/A

         \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

      4. lift-pow.f64 N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

      5. sqr-pow N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

      6. difference-of-squares N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      7. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      8. +-commutative N/A

         \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      9. metadata-eval N/A

         \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      10. unpow2 N/A

          \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      11. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      15. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      16. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      17. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

      18. unpow2 N/A

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

      19. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      20. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      21. lower-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      22. lower--.f64 100.0

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   4. Applied rewrites 100.0%

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   6. Applied rewrites 100.0%

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

   7. Taylor expanded in x around 0

      \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
   8. Step-by-step derivation

      1. unpow2 N/A

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

      2. lower-*.f64 81.9

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

   9. Applied rewrites 81.9%

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

   10. Taylor expanded in x around inf

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

       1. distribute-lft1-in N/A

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

       2. metadata-eval N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left({x}^{2} \cdot \left(1 + \color{blue}{0} \cdot \frac{y}{x}\right)\right) \]

       3. mul0-lft N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left({x}^{2} \cdot \left(1 + \color{blue}{0}\right)\right) \]

       4. metadata-eval N/A

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

       5. *-rgt-identity N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{{x}^{2}} \]

       6. unpow2 N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

       7. lower-*.f64 66.2

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

   12. Applied rewrites 66.2%

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

   if -4.2000000000000002e105 < x < 3.29999999999999977e127

   1. Initial program 96.8%

      \[{x}^{4} - {y}^{4} \]
   2. Add Preprocessing
   3. Step-by-step derivation

      1. lift--.f64 N/A

         \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

      2. lift-pow.f64 N/A

         \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

      3. sqr-pow N/A

         \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

      4. lift-pow.f64 N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

      5. sqr-pow N/A

         \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

      6. difference-of-squares N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      7. lower-*.f64 N/A

         \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

      8. +-commutative N/A

         \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      9. metadata-eval N/A

         \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      10. unpow2 N/A

          \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      11. lower-fma.f64 N/A

          \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      12. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      13. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      14. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      15. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      16. unpow2 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

      17. metadata-eval N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

      18. unpow2 N/A

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

      19. difference-of-squares N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      20. lower-*.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

      21. lower-+.f64 N/A

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

      22. lower--.f64 99.7

          \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

   4. Applied rewrites 99.7%

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   6. Applied rewrites 99.7%

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

   7. Taylor expanded in x around 0

      \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
   8. Step-by-step derivation

      1. unpow2 N/A

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

      2. lower-*.f64 78.2

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

   9. Applied rewrites 78.2%

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

   10. Taylor expanded in x around 0

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

       1. unpow2 N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left(-1 \cdot \color{blue}{\left(y \cdot y\right)}\right) \]

       2. associate-*r* N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-1 \cdot y\right) \cdot y\right)} \]

       3. lower-*.f64 N/A

          \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-1 \cdot y\right) \cdot y\right)} \]

       4. mul-1-neg N/A

          \[\leadsto \left(y \cdot y\right) \cdot \left(\color{blue}{\left(\mathsf{neg}\left(y\right)\right)} \cdot y\right) \]

       5. lower-neg.f64 77.9

          \[\leadsto \left(y \cdot y\right) \cdot \left(\color{blue}{\left(-y\right)} \cdot y\right) \]

   12. Applied rewrites 77.9%

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(\left(-y\right) \cdot y\right)} \]
3. Recombined 2 regimes into one program.

4. Final simplification 74.7%

   \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -4.2 \cdot 10^{+105}:\\ \;\;\;\;\left(x \cdot x\right) \cdot \left(y \cdot y\right)\\ \mathbf{elif}\;x \leq 3.3 \cdot 10^{+127}:\\ \;\;\;\;\left(\left(-y\right) \cdot y\right) \cdot \left(y \cdot y\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x \cdot x\right) \cdot \left(y \cdot y\right)\\ \end{array} \]
5. Add Preprocessing

Alternative 5: 75.8% accurate, 9.4× speedup

Math

\[\begin{array}{l} \\ \left(\left(y + x\right) \cdot \left(x - y\right)\right) \cdot \left(y \cdot y\right) \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (* (* (+ y x) (- x y)) (* y y)))

C

double code(double x, double y) {
	return ((y + x) * (x - y)) * (y * y);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = ((y + x) * (x - y)) * (y * y)
end function

Java

public static double code(double x, double y) {
	return ((y + x) * (x - y)) * (y * y);
}

Python

def code(x, y):
	return ((y + x) * (x - y)) * (y * y)

Julia

function code(x, y)
	return Float64(Float64(Float64(y + x) * Float64(x - y)) * Float64(y * y))
end

MATLAB

function tmp = code(x, y)
	tmp = ((y + x) * (x - y)) * (y * y);
end

Wolfram

code[x_, y_] := N[(N[(N[(y + x), $MachinePrecision] * N[(x - y), $MachinePrecision]), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[{x}^{4} - {y}^{4} \]
2. Add Preprocessing
3. Step-by-step derivation

   1. lift--.f64 N/A

      \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

   2. lift-pow.f64 N/A

      \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

   3. sqr-pow N/A

      \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

   4. lift-pow.f64 N/A

      \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

   5. sqr-pow N/A

      \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

   6. difference-of-squares N/A

      \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

   8. +-commutative N/A

      \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   9. metadata-eval N/A

      \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   10. unpow2 N/A

       \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   13. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   14. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   15. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   16. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   17. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

   18. unpow2 N/A

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

   19. difference-of-squares N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   20. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   21. lower-+.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

   22. lower--.f64 99.8

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

4. Applied rewrites 99.8%

   \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

5. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
6. Step-by-step derivation

   1. unpow2 N/A

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

   2. lower-*.f64 79.2

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

7. Applied rewrites 79.2%

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

8. Final simplification 79.2%

   \[\leadsto \left(\left(y + x\right) \cdot \left(x - y\right)\right) \cdot \left(y \cdot y\right) \]
9. Add Preprocessing

Alternative 6: 33.3% accurate, 12.9× speedup

Math

\[\begin{array}{l} \\ \left(x \cdot x\right) \cdot \left(y \cdot y\right) \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (* (* x x) (* y y)))

C

double code(double x, double y) {
	return (x * x) * (y * y);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * x) * (y * y)
end function

Java

public static double code(double x, double y) {
	return (x * x) * (y * y);
}

Python

def code(x, y):
	return (x * x) * (y * y)

Julia

function code(x, y)
	return Float64(Float64(x * x) * Float64(y * y))
end

MATLAB

function tmp = code(x, y)
	tmp = (x * x) * (y * y);
end

Wolfram

code[x_, y_] := N[(N[(x * x), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[{x}^{4} - {y}^{4} \]
2. Add Preprocessing
3. Step-by-step derivation

   1. lift--.f64 N/A

      \[\leadsto \color{blue}{{x}^{4} - {y}^{4}} \]

   2. lift-pow.f64 N/A

      \[\leadsto \color{blue}{{x}^{4}} - {y}^{4} \]

   3. sqr-pow N/A

      \[\leadsto \color{blue}{{x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)}} - {y}^{4} \]

   4. lift-pow.f64 N/A

      \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{4}} \]

   5. sqr-pow N/A

      \[\leadsto {x}^{\left(\frac{4}{2}\right)} \cdot {x}^{\left(\frac{4}{2}\right)} - \color{blue}{{y}^{\left(\frac{4}{2}\right)} \cdot {y}^{\left(\frac{4}{2}\right)}} \]

   6. difference-of-squares N/A

      \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto \color{blue}{\left({x}^{\left(\frac{4}{2}\right)} + {y}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right)} \]

   8. +-commutative N/A

      \[\leadsto \color{blue}{\left({y}^{\left(\frac{4}{2}\right)} + {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   9. metadata-eval N/A

      \[\leadsto \left({y}^{\color{blue}{2}} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   10. unpow2 N/A

       \[\leadsto \left(\color{blue}{y \cdot y} + {x}^{\left(\frac{4}{2}\right)}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, {x}^{\left(\frac{4}{2}\right)}\right)} \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   12. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, {x}^{\color{blue}{2}}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   13. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   14. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, \color{blue}{x \cdot x}\right) \cdot \left({x}^{\left(\frac{4}{2}\right)} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   15. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left({x}^{\color{blue}{2}} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   16. unpow2 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{x \cdot x} - {y}^{\left(\frac{4}{2}\right)}\right) \]

   17. metadata-eval N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(x \cdot x - {y}^{\color{blue}{2}}\right) \]

   18. unpow2 N/A

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

   19. difference-of-squares N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   20. lower-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \color{blue}{\left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

   21. lower-+.f64 N/A

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\color{blue}{\left(x + y\right)} \cdot \left(x - y\right)\right) \]

   22. lower--.f64 99.8

       \[\leadsto \mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \color{blue}{\left(x - y\right)}\right) \]

4. Applied rewrites 99.8%

   \[\leadsto \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right) \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right)} \]

6. Applied rewrites 99.8%

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

7. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{y}^{2}} \cdot \left(\left(x + y\right) \cdot \left(x - y\right)\right) \]
8. Step-by-step derivation

   1. unpow2 N/A

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

   2. lower-*.f64 79.2

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

9. Applied rewrites 79.2%

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

10. Taylor expanded in x around inf

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

    1. distribute-lft1-in N/A

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

    2. metadata-eval N/A

       \[\leadsto \left(y \cdot y\right) \cdot \left({x}^{2} \cdot \left(1 + \color{blue}{0} \cdot \frac{y}{x}\right)\right) \]

    3. mul0-lft N/A

       \[\leadsto \left(y \cdot y\right) \cdot \left({x}^{2} \cdot \left(1 + \color{blue}{0}\right)\right) \]

    4. metadata-eval N/A

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

    5. *-rgt-identity N/A

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{{x}^{2}} \]

    6. unpow2 N/A

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

    7. lower-*.f64 37.2

       \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

12. Applied rewrites 37.2%

    \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(x \cdot x\right)} \]

13. Final simplification 37.2%

    \[\leadsto \left(x \cdot x\right) \cdot \left(y \cdot y\right) \]
14. Add Preprocessing

Alternative 7: 22.6% accurate, 12.9× speedup

Math

\[\begin{array}{l} \\ \left(y \cdot y\right) \cdot \left(y \cdot y\right) \end{array} \]

FPCore

(FPCore (x y) :precision binary64 (* (* y y) (* y y)))

C

double code(double x, double y) {
	return (y * y) * (y * y);
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (y * y) * (y * y)
end function

Java

public static double code(double x, double y) {
	return (y * y) * (y * y);
}

Python

def code(x, y):
	return (y * y) * (y * y)

Julia

function code(x, y)
	return Float64(Float64(y * y) * Float64(y * y))
end

MATLAB

function tmp = code(x, y)
	tmp = (y * y) * (y * y);
end

Wolfram

code[x_, y_] := N[(N[(y * y), $MachinePrecision] * N[(y * y), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 87.1%

   \[{x}^{4} - {y}^{4} \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{-1 \cdot {y}^{4}} \]
4. Step-by-step derivation

   1. mul-1-neg N/A

      \[\leadsto \color{blue}{\mathsf{neg}\left({y}^{4}\right)} \]

   2. lower-neg.f64 N/A

      \[\leadsto \color{blue}{-{y}^{4}} \]

   3. lower-pow.f64 61.2

      \[\leadsto -\color{blue}{{y}^{4}} \]

5. Applied rewrites 61.2%

   \[\leadsto \color{blue}{-{y}^{4}} \]

7. Applied rewrites 25.5%

   \[\leadsto \left(y \cdot y\right) \cdot \color{blue}{\left(y \cdot y\right)} \]
8. Add Preprocessing

Reproduce

herbie shell --seed 2024332 
(FPCore (x y)
  :name "Radioactive exchange between two surfaces"
  :precision binary64
  (- (pow x 4.0) (pow y 4.0)))