bug500 (missed optimization)

Percentage Accurate: 69.0% → 98.8%

Time: 9.3s

Alternatives: 8

Speedup: 6.5×

Specification

\[-1000 < x \land x < 1000\]

Math

\[\begin{array}{l} \\ \sin x - x \end{array} \]

FPCore

(FPCore (x) :precision binary64 (- (sin x) x))

C

double code(double x) {
	return sin(x) - x;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = sin(x) - x
end function

Java

public static double code(double x) {
	return Math.sin(x) - x;
}

Python

def code(x):
	return math.sin(x) - x

Julia

function code(x)
	return Float64(sin(x) - x)
end

MATLAB

function tmp = code(x)
	tmp = sin(x) - x;
end

Wolfram

code[x_] := N[(N[Sin[x], $MachinePrecision] - x), $MachinePrecision]

Initial Program: 69.0% accurate, 1.0× speedup

Math

\[\begin{array}{l} \\ \sin x - x \end{array} \]

FPCore

(FPCore (x) :precision binary64 (- (sin x) x))

C

double code(double x) {
	return sin(x) - x;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = sin(x) - x
end function

Java

public static double code(double x) {
	return Math.sin(x) - x;
}

Python

def code(x):
	return math.sin(x) - x

Julia

function code(x)
	return Float64(sin(x) - x)
end

MATLAB

function tmp = code(x)
	tmp = sin(x) - x;
end

Wolfram

code[x_] := N[(N[Sin[x], $MachinePrecision] - x), $MachinePrecision]

Alternative 1: 98.8% accurate, 2.5× speedup

Math

\[\begin{array}{l} \\ \frac{x}{\mathsf{fma}\left(x, x \cdot -0.007857142857142858, -0.3\right) + \frac{-6}{x \cdot x}} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (/ x (+ (fma x (* x -0.007857142857142858) -0.3) (/ -6.0 (* x x)))))

C

double code(double x) {
	return x / (fma(x, (x * -0.007857142857142858), -0.3) + (-6.0 / (x * x)));
}

Julia

function code(x)
	return Float64(x / Float64(fma(x, Float64(x * -0.007857142857142858), -0.3) + Float64(-6.0 / Float64(x * x))))
end

Wolfram

code[x_] := N[(x / N[(N[(x * N[(x * -0.007857142857142858), $MachinePrecision] + -0.3), $MachinePrecision] + N[(-6.0 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{x}^{3} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)} \]
4. Step-by-step derivation

   1. cube-mult N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   2. unpow2 N/A

      \[\leadsto \left(x \cdot \color{blue}{{x}^{2}}\right) \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   4. lower-*.f64 N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   5. unpow2 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right) \]

   6. associate-*l* N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   8. lower-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \color{blue}{\left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)}\right) \]

   9. sub-neg N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)}\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \color{blue}{\frac{-1}{6}}\right)\right)\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)}\right)\right) \]

   12. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   13. lower-*.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   14. +-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{-1}{5040} \cdot {x}^{2} + \frac{1}{120}}, \frac{-1}{6}\right)\right)\right) \]

   15. *-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \frac{-1}{5040}} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   16. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\left(x \cdot x\right)} \cdot \frac{-1}{5040} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   17. associate-*l* N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   18. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)}, \frac{-1}{6}\right)\right)\right) \]

   19. lower-*.f64 98.2

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot -0.0001984126984126984}, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right) \]

5. Applied rewrites 98.2%

   \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(x \cdot \left(x \cdot \frac{-1}{5040}\right) + \frac{1}{120}\right) + \frac{-1}{6}\right)\right)\right) \]

   2. lift-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}\right) + \frac{-1}{6}\right)\right)\right) \]

   3. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)} + \frac{-1}{6}\right)\right)\right) \]

   4. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)}\right)\right) \]

   5. associate-*r* N/A

      \[\leadsto x \cdot \color{blue}{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)\right)} \]

   6. lift-*.f64 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)\right) \]

   7. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) + \frac{-1}{6}\right)}\right) \]

   8. flip-+ N/A

      \[\leadsto x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\frac{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}}\right) \]

   9. associate-*r/ N/A

      \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \left(\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right)}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}} \]

   10. lower-/.f64 N/A

       \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \left(\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right)}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}} \]

7. Applied rewrites 98.2%

   \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, \left(x \cdot \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right)\right), -0.027777777777777776\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), 0.16666666666666666\right)}} \]

9. Applied rewrites 98.2%

   \[\leadsto \color{blue}{\frac{x}{\frac{1}{x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)}}} \]

10. Taylor expanded in x around 0

    \[\leadsto \frac{x}{\color{blue}{\frac{{x}^{2} \cdot \left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right) - 6}{{x}^{2}}}} \]
11. Step-by-step derivation

    1. div-sub N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{{x}^{2} \cdot \left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right)}{{x}^{2}} - \frac{6}{{x}^{2}}}} \]

    2. sub-neg N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{{x}^{2} \cdot \left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right)}{{x}^{2}} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)}} \]

    3. *-commutative N/A

       \[\leadsto \frac{x}{\frac{\color{blue}{\left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right) \cdot {x}^{2}}}{{x}^{2}} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    4. associate-*r/ N/A

       \[\leadsto \frac{x}{\color{blue}{\left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right) \cdot \frac{{x}^{2}}{{x}^{2}}} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    5. *-inverses N/A

       \[\leadsto \frac{x}{\left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right) \cdot \color{blue}{1} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    6. *-commutative N/A

       \[\leadsto \frac{x}{\color{blue}{1 \cdot \left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right)} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    7. *-lft-identity N/A

       \[\leadsto \frac{x}{\color{blue}{\left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right)} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    8. lower-+.f64 N/A

       \[\leadsto \frac{x}{\color{blue}{\left(\frac{-11}{1400} \cdot {x}^{2} - \frac{3}{10}\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)}} \]

    9. sub-neg N/A

       \[\leadsto \frac{x}{\color{blue}{\left(\frac{-11}{1400} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{3}{10}\right)\right)\right)} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    10. unpow2 N/A

        \[\leadsto \frac{x}{\left(\frac{-11}{1400} \cdot \color{blue}{\left(x \cdot x\right)} + \left(\mathsf{neg}\left(\frac{3}{10}\right)\right)\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    11. associate-*r* N/A

        \[\leadsto \frac{x}{\left(\color{blue}{\left(\frac{-11}{1400} \cdot x\right) \cdot x} + \left(\mathsf{neg}\left(\frac{3}{10}\right)\right)\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    12. *-commutative N/A

        \[\leadsto \frac{x}{\left(\color{blue}{x \cdot \left(\frac{-11}{1400} \cdot x\right)} + \left(\mathsf{neg}\left(\frac{3}{10}\right)\right)\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    13. metadata-eval N/A

        \[\leadsto \frac{x}{\left(x \cdot \left(\frac{-11}{1400} \cdot x\right) + \color{blue}{\frac{-3}{10}}\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    14. lower-fma.f64 N/A

        \[\leadsto \frac{x}{\color{blue}{\mathsf{fma}\left(x, \frac{-11}{1400} \cdot x, \frac{-3}{10}\right)} + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    15. *-commutative N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{-11}{1400}}, \frac{-3}{10}\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    16. lower-*.f64 N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{-11}{1400}}, \frac{-3}{10}\right) + \left(\mathsf{neg}\left(\frac{6}{{x}^{2}}\right)\right)} \]

    17. distribute-neg-frac N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, x \cdot \frac{-11}{1400}, \frac{-3}{10}\right) + \color{blue}{\frac{\mathsf{neg}\left(6\right)}{{x}^{2}}}} \]

    18. metadata-eval N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, x \cdot \frac{-11}{1400}, \frac{-3}{10}\right) + \frac{\color{blue}{-6}}{{x}^{2}}} \]

    19. lower-/.f64 N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, x \cdot \frac{-11}{1400}, \frac{-3}{10}\right) + \color{blue}{\frac{-6}{{x}^{2}}}} \]

    20. unpow2 N/A

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, x \cdot \frac{-11}{1400}, \frac{-3}{10}\right) + \frac{-6}{\color{blue}{x \cdot x}}} \]

    21. lower-*.f64 98.3

        \[\leadsto \frac{x}{\mathsf{fma}\left(x, x \cdot -0.007857142857142858, -0.3\right) + \frac{-6}{\color{blue}{x \cdot x}}} \]

12. Applied rewrites 98.3%

    \[\leadsto \frac{x}{\color{blue}{\mathsf{fma}\left(x, x \cdot -0.007857142857142858, -0.3\right) + \frac{-6}{x \cdot x}}} \]
13. Add Preprocessing

Alternative 2: 98.7% accurate, 2.7× speedup

Math

\[\begin{array}{l} \\ x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right) \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (*
  x
  (*
   x
   (*
    x
    (fma
     (* x x)
     (fma x (* x -0.0001984126984126984) 0.008333333333333333)
     -0.16666666666666666)))))

C

double code(double x) {
	return x * (x * (x * fma((x * x), fma(x, (x * -0.0001984126984126984), 0.008333333333333333), -0.16666666666666666)));
}

Julia

function code(x)
	return Float64(x * Float64(x * Float64(x * fma(Float64(x * x), fma(x, Float64(x * -0.0001984126984126984), 0.008333333333333333), -0.16666666666666666))))
end

Wolfram

code[x_] := N[(x * N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * -0.0001984126984126984), $MachinePrecision] + 0.008333333333333333), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{x}^{3} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)} \]
4. Step-by-step derivation

   1. cube-mult N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   2. unpow2 N/A

      \[\leadsto \left(x \cdot \color{blue}{{x}^{2}}\right) \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   4. lower-*.f64 N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   5. unpow2 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right) \]

   6. associate-*l* N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   8. lower-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \color{blue}{\left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)}\right) \]

   9. sub-neg N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)}\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \color{blue}{\frac{-1}{6}}\right)\right)\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)}\right)\right) \]

   12. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   13. lower-*.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   14. +-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{-1}{5040} \cdot {x}^{2} + \frac{1}{120}}, \frac{-1}{6}\right)\right)\right) \]

   15. *-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \frac{-1}{5040}} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   16. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\left(x \cdot x\right)} \cdot \frac{-1}{5040} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   17. associate-*l* N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   18. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)}, \frac{-1}{6}\right)\right)\right) \]

   19. lower-*.f64 98.2

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot -0.0001984126984126984}, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right) \]

5. Applied rewrites 98.2%

   \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right)} \]
6. Add Preprocessing

Alternative 3: 98.6% accurate, 3.4× speedup

Math

\[\begin{array}{l} \\ \frac{x}{-0.3 - \frac{6}{x \cdot x}} \end{array} \]

FPCore

(FPCore (x) :precision binary64 (/ x (- -0.3 (/ 6.0 (* x x)))))

C

double code(double x) {
	return x / (-0.3 - (6.0 / (x * x)));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = x / ((-0.3d0) - (6.0d0 / (x * x)))
end function

Java

public static double code(double x) {
	return x / (-0.3 - (6.0 / (x * x)));
}

Python

def code(x):
	return x / (-0.3 - (6.0 / (x * x)))

Julia

function code(x)
	return Float64(x / Float64(-0.3 - Float64(6.0 / Float64(x * x))))
end

MATLAB

function tmp = code(x)
	tmp = x / (-0.3 - (6.0 / (x * x)));
end

Wolfram

code[x_] := N[(x / N[(-0.3 - N[(6.0 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{x}^{3} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)} \]
4. Step-by-step derivation

   1. cube-mult N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   2. unpow2 N/A

      \[\leadsto \left(x \cdot \color{blue}{{x}^{2}}\right) \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   4. lower-*.f64 N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   5. unpow2 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right) \]

   6. associate-*l* N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   8. lower-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \color{blue}{\left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)}\right) \]

   9. sub-neg N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)}\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \color{blue}{\frac{-1}{6}}\right)\right)\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)}\right)\right) \]

   12. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   13. lower-*.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   14. +-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{-1}{5040} \cdot {x}^{2} + \frac{1}{120}}, \frac{-1}{6}\right)\right)\right) \]

   15. *-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \frac{-1}{5040}} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   16. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\left(x \cdot x\right)} \cdot \frac{-1}{5040} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   17. associate-*l* N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   18. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)}, \frac{-1}{6}\right)\right)\right) \]

   19. lower-*.f64 98.2

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot -0.0001984126984126984}, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right) \]

5. Applied rewrites 98.2%

   \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(x \cdot \left(x \cdot \frac{-1}{5040}\right) + \frac{1}{120}\right) + \frac{-1}{6}\right)\right)\right) \]

   2. lift-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot \color{blue}{\left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}\right) + \frac{-1}{6}\right)\right)\right) \]

   3. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)} + \frac{-1}{6}\right)\right)\right) \]

   4. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)}\right)\right) \]

   5. associate-*r* N/A

      \[\leadsto x \cdot \color{blue}{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)\right)} \]

   6. lift-*.f64 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right), \frac{-1}{6}\right)\right) \]

   7. lift-fma.f64 N/A

      \[\leadsto x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) + \frac{-1}{6}\right)}\right) \]

   8. flip-+ N/A

      \[\leadsto x \cdot \left(\left(x \cdot x\right) \cdot \color{blue}{\frac{\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}}\right) \]

   9. associate-*r/ N/A

      \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \left(\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right)}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}} \]

   10. lower-/.f64 N/A

       \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \left(\left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)\right) - \frac{-1}{6} \cdot \frac{-1}{6}\right)}{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right) - \frac{-1}{6}}} \]

7. Applied rewrites 98.2%

   \[\leadsto x \cdot \color{blue}{\frac{\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, \left(x \cdot \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right)\right), -0.027777777777777776\right)}{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), 0.16666666666666666\right)}} \]

9. Applied rewrites 98.2%

   \[\leadsto \color{blue}{\frac{x}{\frac{1}{x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)}}} \]

10. Taylor expanded in x around 0

    \[\leadsto \frac{x}{\color{blue}{\frac{\frac{-3}{10} \cdot {x}^{2} - 6}{{x}^{2}}}} \]
11. Step-by-step derivation

    1. div-sub N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{\frac{-3}{10} \cdot {x}^{2}}{{x}^{2}} - \frac{6}{{x}^{2}}}} \]

    2. associate-*r/ N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{-3}{10} \cdot \frac{{x}^{2}}{{x}^{2}}} - \frac{6}{{x}^{2}}} \]

    3. *-inverses N/A

       \[\leadsto \frac{x}{\frac{-3}{10} \cdot \color{blue}{1} - \frac{6}{{x}^{2}}} \]

    4. metadata-eval N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{-3}{10}} - \frac{6}{{x}^{2}}} \]

    5. lower--.f64 N/A

       \[\leadsto \frac{x}{\color{blue}{\frac{-3}{10} - \frac{6}{{x}^{2}}}} \]

    6. lower-/.f64 N/A

       \[\leadsto \frac{x}{\frac{-3}{10} - \color{blue}{\frac{6}{{x}^{2}}}} \]

    7. unpow2 N/A

       \[\leadsto \frac{x}{\frac{-3}{10} - \frac{6}{\color{blue}{x \cdot x}}} \]

    8. lower-*.f64 98.2

       \[\leadsto \frac{x}{-0.3 - \frac{6}{\color{blue}{x \cdot x}}} \]

12. Applied rewrites 98.2%

    \[\leadsto \frac{x}{\color{blue}{-0.3 - \frac{6}{x \cdot x}}} \]
13. Add Preprocessing

Alternative 4: 98.4% accurate, 3.9× speedup

Math

\[\begin{array}{l} \\ x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.008333333333333333, -0.16666666666666666\right)\right)\right) \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (* x (* x (* x (fma x (* x 0.008333333333333333) -0.16666666666666666)))))

C

double code(double x) {
	return x * (x * (x * fma(x, (x * 0.008333333333333333), -0.16666666666666666)));
}

Julia

function code(x)
	return Float64(x * Float64(x * Float64(x * fma(x, Float64(x * 0.008333333333333333), -0.16666666666666666))))
end

Wolfram

code[x_] := N[(x * N[(x * N[(x * N[(x * N[(x * 0.008333333333333333), $MachinePrecision] + -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{x}^{3} \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)} \]
4. Step-by-step derivation

   1. cube-mult N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right) \]

   2. unpow2 N/A

      \[\leadsto \left(x \cdot \color{blue}{{x}^{2}}\right) \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right) \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]

   4. lower-*.f64 N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right)} \]

   5. unpow2 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right) \]

   6. associate-*l* N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right)\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right)\right)} \]

   8. lower-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \color{blue}{\left(x \cdot \left(\frac{1}{120} \cdot {x}^{2} - \frac{1}{6}\right)\right)}\right) \]

   9. sub-neg N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\left(\frac{1}{120} \cdot {x}^{2} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)}\right)\right) \]

   10. *-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\color{blue}{{x}^{2} \cdot \frac{1}{120}} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)\right)\right) \]

   11. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \frac{1}{120} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)\right)\right) \]

   12. associate-*l* N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(\color{blue}{x \cdot \left(x \cdot \frac{1}{120}\right)} + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)\right)\right) \]

   13. metadata-eval N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \frac{1}{120}\right) + \color{blue}{\frac{-1}{6}}\right)\right)\right) \]

   14. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{1}{120}, \frac{-1}{6}\right)}\right)\right) \]

   15. lower-*.f64 97.9

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x, \color{blue}{x \cdot 0.008333333333333333}, -0.16666666666666666\right)\right)\right) \]

5. Applied rewrites 97.9%

   \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x \cdot 0.008333333333333333, -0.16666666666666666\right)\right)\right)} \]
6. Add Preprocessing

Alternative 5: 98.0% accurate, 6.5× speedup

Math

\[\begin{array}{l} \\ \left(x \cdot x\right) \cdot \left(x \cdot -0.16666666666666666\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (* (* x x) (* x -0.16666666666666666)))

C

double code(double x) {
	return (x * x) * (x * -0.16666666666666666);
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = (x * x) * (x * (-0.16666666666666666d0))
end function

Java

public static double code(double x) {
	return (x * x) * (x * -0.16666666666666666);
}

Python

def code(x):
	return (x * x) * (x * -0.16666666666666666)

Julia

function code(x)
	return Float64(Float64(x * x) * Float64(x * -0.16666666666666666))
end

MATLAB

function tmp = code(x)
	tmp = (x * x) * (x * -0.16666666666666666);
end

Wolfram

code[x_] := N[(N[(x * x), $MachinePrecision] * N[(x * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{\frac{-1}{6} \cdot {x}^{3}} \]
4. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \color{blue}{\frac{-1}{6} \cdot {x}^{3}} \]

   2. cube-mult N/A

      \[\leadsto \frac{-1}{6} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \]

   3. unpow2 N/A

      \[\leadsto \frac{-1}{6} \cdot \left(x \cdot \color{blue}{{x}^{2}}\right) \]

   4. lower-*.f64 N/A

      \[\leadsto \frac{-1}{6} \cdot \color{blue}{\left(x \cdot {x}^{2}\right)} \]

   5. unpow2 N/A

      \[\leadsto \frac{-1}{6} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) \]

   6. lower-*.f64 97.5

      \[\leadsto -0.16666666666666666 \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) \]

5. Applied rewrites 97.5%

   \[\leadsto \color{blue}{-0.16666666666666666 \cdot \left(x \cdot \left(x \cdot x\right)\right)} \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \frac{-1}{6} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) \]

   2. associate-*r* N/A

      \[\leadsto \color{blue}{\left(\frac{-1}{6} \cdot x\right) \cdot \left(x \cdot x\right)} \]

   3. *-commutative N/A

      \[\leadsto \color{blue}{\left(x \cdot \frac{-1}{6}\right)} \cdot \left(x \cdot x\right) \]

   4. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(x \cdot \frac{-1}{6}\right)} \cdot \left(x \cdot x\right) \]

   5. *-commutative N/A

      \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot \frac{-1}{6}\right)} \]

   6. lower-*.f64 97.5

      \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot -0.16666666666666666\right)} \]

7. Applied rewrites 97.5%

   \[\leadsto \color{blue}{\left(x \cdot x\right) \cdot \left(x \cdot -0.16666666666666666\right)} \]
8. Add Preprocessing

Alternative 6: 98.0% accurate, 6.5× speedup

Math

\[\begin{array}{l} \\ x \cdot \left(x \cdot \left(x \cdot -0.16666666666666666\right)\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (* x (* x (* x -0.16666666666666666))))

C

double code(double x) {
	return x * (x * (x * -0.16666666666666666));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = x * (x * (x * (-0.16666666666666666d0)))
end function

Java

public static double code(double x) {
	return x * (x * (x * -0.16666666666666666));
}

Python

def code(x):
	return x * (x * (x * -0.16666666666666666))

Julia

function code(x)
	return Float64(x * Float64(x * Float64(x * -0.16666666666666666)))
end

MATLAB

function tmp = code(x)
	tmp = x * (x * (x * -0.16666666666666666));
end

Wolfram

code[x_] := N[(x * N[(x * N[(x * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{{x}^{3} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)} \]
4. Step-by-step derivation

   1. cube-mult N/A

      \[\leadsto \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   2. unpow2 N/A

      \[\leadsto \left(x \cdot \color{blue}{{x}^{2}}\right) \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right) \]

   3. associate-*r* N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   4. lower-*.f64 N/A

      \[\leadsto \color{blue}{x \cdot \left({x}^{2} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)} \]

   5. unpow2 N/A

      \[\leadsto x \cdot \left(\color{blue}{\left(x \cdot x\right)} \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right) \]

   6. associate-*l* N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   7. lower-*.f64 N/A

      \[\leadsto x \cdot \color{blue}{\left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)\right)} \]

   8. lower-*.f64 N/A

      \[\leadsto x \cdot \left(x \cdot \color{blue}{\left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) - \frac{1}{6}\right)\right)}\right) \]

   9. sub-neg N/A

      \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \left(\mathsf{neg}\left(\frac{1}{6}\right)\right)\right)}\right)\right) \]

   10. metadata-eval N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \left({x}^{2} \cdot \left(\frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}\right) + \color{blue}{\frac{-1}{6}}\right)\right)\right) \]

   11. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)}\right)\right) \]

   12. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   13. lower-*.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{1}{120} + \frac{-1}{5040} \cdot {x}^{2}, \frac{-1}{6}\right)\right)\right) \]

   14. +-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\frac{-1}{5040} \cdot {x}^{2} + \frac{1}{120}}, \frac{-1}{6}\right)\right)\right) \]

   15. *-commutative N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{{x}^{2} \cdot \frac{-1}{5040}} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   16. unpow2 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\left(x \cdot x\right)} \cdot \frac{-1}{5040} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   17. associate-*l* N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{x \cdot \left(x \cdot \frac{-1}{5040}\right)} + \frac{1}{120}, \frac{-1}{6}\right)\right)\right) \]

   18. lower-fma.f64 N/A

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \color{blue}{\mathsf{fma}\left(x, x \cdot \frac{-1}{5040}, \frac{1}{120}\right)}, \frac{-1}{6}\right)\right)\right) \]

   19. lower-*.f64 98.2

       \[\leadsto x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, \color{blue}{x \cdot -0.0001984126984126984}, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right) \]

5. Applied rewrites 98.2%

   \[\leadsto \color{blue}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0001984126984126984, 0.008333333333333333\right), -0.16666666666666666\right)\right)\right)} \]

6. Taylor expanded in x around 0

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

8. Applied rewrites 97.5%

   \[\leadsto x \cdot \left(x \cdot \left(x \cdot \color{blue}{-0.16666666666666666}\right)\right) \]
9. Add Preprocessing

Alternative 7: 98.0% accurate, 6.5× speedup

Math

\[\begin{array}{l} \\ -0.16666666666666666 \cdot \left(x \cdot \left(x \cdot x\right)\right) \end{array} \]

FPCore

(FPCore (x) :precision binary64 (* -0.16666666666666666 (* x (* x x))))

C

double code(double x) {
	return -0.16666666666666666 * (x * (x * x));
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = (-0.16666666666666666d0) * (x * (x * x))
end function

Java

public static double code(double x) {
	return -0.16666666666666666 * (x * (x * x));
}

Python

def code(x):
	return -0.16666666666666666 * (x * (x * x))

Julia

function code(x)
	return Float64(-0.16666666666666666 * Float64(x * Float64(x * x)))
end

MATLAB

function tmp = code(x)
	tmp = -0.16666666666666666 * (x * (x * x));
end

Wolfram

code[x_] := N[(-0.16666666666666666 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

   \[\leadsto \color{blue}{\frac{-1}{6} \cdot {x}^{3}} \]
4. Step-by-step derivation

   1. lower-*.f64 N/A

      \[\leadsto \color{blue}{\frac{-1}{6} \cdot {x}^{3}} \]

   2. cube-mult N/A

      \[\leadsto \frac{-1}{6} \cdot \color{blue}{\left(x \cdot \left(x \cdot x\right)\right)} \]

   3. unpow2 N/A

      \[\leadsto \frac{-1}{6} \cdot \left(x \cdot \color{blue}{{x}^{2}}\right) \]

   4. lower-*.f64 N/A

      \[\leadsto \frac{-1}{6} \cdot \color{blue}{\left(x \cdot {x}^{2}\right)} \]

   5. unpow2 N/A

      \[\leadsto \frac{-1}{6} \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) \]

   6. lower-*.f64 97.5

      \[\leadsto -0.16666666666666666 \cdot \left(x \cdot \color{blue}{\left(x \cdot x\right)}\right) \]

5. Applied rewrites 97.5%

   \[\leadsto \color{blue}{-0.16666666666666666 \cdot \left(x \cdot \left(x \cdot x\right)\right)} \]
6. Add Preprocessing

Alternative 8: 66.6% accurate, 104.0× speedup

Math

\[\begin{array}{l} \\ 0 \end{array} \]

FPCore

(FPCore (x) :precision binary64 0.0)

C

double code(double x) {
	return 0.0;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    code = 0.0d0
end function

Java

public static double code(double x) {
	return 0.0;
}

Python

def code(x):
	return 0.0

Julia

function code(x)
	return 0.0
end

MATLAB

function tmp = code(x)
	tmp = 0.0;
end

Wolfram

code[x_] := 0.0

Derivation

1. Initial program 70.4%

   \[\sin x - x \]
2. Add Preprocessing

3. Taylor expanded in x around 0

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

   1. +-commutative N/A

      \[\leadsto x \cdot \color{blue}{\left(\frac{-1}{6} \cdot {x}^{2} + 1\right)} - x \]

   2. distribute-rgt-in N/A

      \[\leadsto \color{blue}{\left(\left(\frac{-1}{6} \cdot {x}^{2}\right) \cdot x + 1 \cdot x\right)} - x \]

   3. *-commutative N/A

      \[\leadsto \left(\color{blue}{\left({x}^{2} \cdot \frac{-1}{6}\right)} \cdot x + 1 \cdot x\right) - x \]

   4. associate-*l* N/A

      \[\leadsto \left(\color{blue}{{x}^{2} \cdot \left(\frac{-1}{6} \cdot x\right)} + 1 \cdot x\right) - x \]

   5. *-lft-identity N/A

      \[\leadsto \left({x}^{2} \cdot \left(\frac{-1}{6} \cdot x\right) + \color{blue}{x}\right) - x \]

   6. lower-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left({x}^{2}, \frac{-1}{6} \cdot x, x\right)} - x \]

   7. unpow2 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{-1}{6} \cdot x, x\right) - x \]

   8. lower-*.f64 N/A

      \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot x}, \frac{-1}{6} \cdot x, x\right) - x \]

   9. lower-*.f64 68.6

      \[\leadsto \mathsf{fma}\left(x \cdot x, \color{blue}{-0.16666666666666666 \cdot x}, x\right) - x \]

5. Applied rewrites 68.6%

   \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot x, -0.16666666666666666 \cdot x, x\right)} - x \]
6. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(\color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{-1}{6} \cdot x\right) + x\right) - x \]

   2. lift-*.f64 N/A

      \[\leadsto \left(\left(x \cdot x\right) \cdot \color{blue}{\left(\frac{-1}{6} \cdot x\right)} + x\right) - x \]

   3. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot x, \frac{-1}{6} \cdot x, x\right)} - x \]

   4. sub-neg N/A

      \[\leadsto \color{blue}{\mathsf{fma}\left(x \cdot x, \frac{-1}{6} \cdot x, x\right) + \left(\mathsf{neg}\left(x\right)\right)} \]

   5. lift-fma.f64 N/A

      \[\leadsto \color{blue}{\left(\left(x \cdot x\right) \cdot \left(\frac{-1}{6} \cdot x\right) + x\right)} + \left(\mathsf{neg}\left(x\right)\right) \]

   6. lift-*.f64 N/A

      \[\leadsto \left(\left(x \cdot x\right) \cdot \color{blue}{\left(\frac{-1}{6} \cdot x\right)} + x\right) + \left(\mathsf{neg}\left(x\right)\right) \]

   7. associate-*r* N/A

      \[\leadsto \left(\color{blue}{\left(\left(x \cdot x\right) \cdot \frac{-1}{6}\right) \cdot x} + x\right) + \left(\mathsf{neg}\left(x\right)\right) \]

   8. distribute-lft1-in N/A

      \[\leadsto \color{blue}{\left(\left(x \cdot x\right) \cdot \frac{-1}{6} + 1\right) \cdot x} + \left(\mathsf{neg}\left(x\right)\right) \]

   9. lift-neg.f64 N/A

      \[\leadsto \left(\left(x \cdot x\right) \cdot \frac{-1}{6} + 1\right) \cdot x + \color{blue}{\left(\mathsf{neg}\left(x\right)\right)} \]

   10. lower-fma.f64 N/A

       \[\leadsto \color{blue}{\mathsf{fma}\left(\left(x \cdot x\right) \cdot \frac{-1}{6} + 1, x, \mathsf{neg}\left(x\right)\right)} \]

   11. lift-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{\left(x \cdot x\right)} \cdot \frac{-1}{6} + 1, x, \mathsf{neg}\left(x\right)\right) \]

   12. associate-*r* N/A

       \[\leadsto \mathsf{fma}\left(\color{blue}{x \cdot \left(x \cdot \frac{-1}{6}\right)} + 1, x, \mathsf{neg}\left(x\right)\right) \]

   13. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \color{blue}{\left(\frac{-1}{6} \cdot x\right)} + 1, x, \mathsf{neg}\left(x\right)\right) \]

   14. lift-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(x \cdot \color{blue}{\left(\frac{-1}{6} \cdot x\right)} + 1, x, \mathsf{neg}\left(x\right)\right) \]

   15. lower-fma.f64 68.6

       \[\leadsto \mathsf{fma}\left(\color{blue}{\mathsf{fma}\left(x, -0.16666666666666666 \cdot x, 1\right)}, x, -x\right) \]

   16. lift-*.f64 N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{\frac{-1}{6} \cdot x}, 1\right), x, \mathsf{neg}\left(x\right)\right) \]

   17. *-commutative N/A

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot \frac{-1}{6}}, 1\right), x, \mathsf{neg}\left(x\right)\right) \]

   18. lower-*.f64 68.6

       \[\leadsto \mathsf{fma}\left(\mathsf{fma}\left(x, \color{blue}{x \cdot -0.16666666666666666}, 1\right), x, -x\right) \]

7. Applied rewrites 68.6%

   \[\leadsto \color{blue}{\mathsf{fma}\left(\mathsf{fma}\left(x, x \cdot -0.16666666666666666, 1\right), x, -x\right)} \]

8. Taylor expanded in x around 0

   \[\leadsto \mathsf{fma}\left(\color{blue}{1}, x, \mathsf{neg}\left(x\right)\right) \]
9. Step-by-step derivation

10. Applied rewrites 67.3%

    \[\leadsto \mathsf{fma}\left(\color{blue}{1}, x, -x\right) \]
11. Step-by-step derivation

    1. unsub-neg N/A

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

    2. *-lft-identity N/A

       \[\leadsto \color{blue}{x} - x \]

    3. +-inverses 67.3

       \[\leadsto \color{blue}{0} \]

12. Applied rewrites 67.3%

    \[\leadsto \color{blue}{0} \]
13. Add Preprocessing

Developer Target 1: 99.8% accurate, 0.3× speedup

Math

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;\left|x\right| < 0.07:\\ \;\;\;\;-\left(\left(\frac{{x}^{3}}{6} - \frac{{x}^{5}}{120}\right) + \frac{{x}^{7}}{5040}\right)\\ \mathbf{else}:\\ \;\;\;\;\sin x - x\\ \end{array} \end{array} \]

FPCore

(FPCore (x)
 :precision binary64
 (if (< (fabs x) 0.07)
   (- (+ (- (/ (pow x 3.0) 6.0) (/ (pow x 5.0) 120.0)) (/ (pow x 7.0) 5040.0)))
   (- (sin x) x)))

C

double code(double x) {
	double tmp;
	if (fabs(x) < 0.07) {
		tmp = -(((pow(x, 3.0) / 6.0) - (pow(x, 5.0) / 120.0)) + (pow(x, 7.0) / 5040.0));
	} else {
		tmp = sin(x) - x;
	}
	return tmp;
}

Fortran

real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: tmp
    if (abs(x) < 0.07d0) then
        tmp = -((((x ** 3.0d0) / 6.0d0) - ((x ** 5.0d0) / 120.0d0)) + ((x ** 7.0d0) / 5040.0d0))
    else
        tmp = sin(x) - x
    end if
    code = tmp
end function

Java

public static double code(double x) {
	double tmp;
	if (Math.abs(x) < 0.07) {
		tmp = -(((Math.pow(x, 3.0) / 6.0) - (Math.pow(x, 5.0) / 120.0)) + (Math.pow(x, 7.0) / 5040.0));
	} else {
		tmp = Math.sin(x) - x;
	}
	return tmp;
}

Python

def code(x):
	tmp = 0
	if math.fabs(x) < 0.07:
		tmp = -(((math.pow(x, 3.0) / 6.0) - (math.pow(x, 5.0) / 120.0)) + (math.pow(x, 7.0) / 5040.0))
	else:
		tmp = math.sin(x) - x
	return tmp

Julia

function code(x)
	tmp = 0.0
	if (abs(x) < 0.07)
		tmp = Float64(-Float64(Float64(Float64((x ^ 3.0) / 6.0) - Float64((x ^ 5.0) / 120.0)) + Float64((x ^ 7.0) / 5040.0)));
	else
		tmp = Float64(sin(x) - x);
	end
	return tmp
end

MATLAB

function tmp_2 = code(x)
	tmp = 0.0;
	if (abs(x) < 0.07)
		tmp = -((((x ^ 3.0) / 6.0) - ((x ^ 5.0) / 120.0)) + ((x ^ 7.0) / 5040.0));
	else
		tmp = sin(x) - x;
	end
	tmp_2 = tmp;
end

Wolfram

code[x_] := If[Less[N[Abs[x], $MachinePrecision], 0.07], (-N[(N[(N[(N[Power[x, 3.0], $MachinePrecision] / 6.0), $MachinePrecision] - N[(N[Power[x, 5.0], $MachinePrecision] / 120.0), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, 7.0], $MachinePrecision] / 5040.0), $MachinePrecision]), $MachinePrecision]), N[(N[Sin[x], $MachinePrecision] - x), $MachinePrecision]]

Reproduce

herbie shell --seed 2024214 
(FPCore (x)
  :name "bug500 (missed optimization)"
  :precision binary64
  :pre (and (< -1000.0 x) (< x 1000.0))

  :alt
  (! :herbie-platform default (if (< (fabs x) 7/100) (- (+ (- (/ (pow x 3) 6) (/ (pow x 5) 120)) (/ (pow x 7) 5040))) (- (sin x) x)))

  (- (sin x) x))