2cbrt (problem 3.3.4)

Percentage Accurate: 7.0% → 98.0%
Time: 10.3s
Alternatives: 8
Speedup: 2.0×

Specification

?
\[x > 1 \land x < 10^{+308}\]
\[\begin{array}{l} \\ \sqrt[3]{x + 1} - \sqrt[3]{x} \end{array} \]
(FPCore (x) :precision binary64 (- (cbrt (+ x 1.0)) (cbrt x)))
double code(double x) {
	return cbrt((x + 1.0)) - cbrt(x);
}
public static double code(double x) {
	return Math.cbrt((x + 1.0)) - Math.cbrt(x);
}
function code(x)
	return Float64(cbrt(Float64(x + 1.0)) - cbrt(x))
end
code[x_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision] - N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{x + 1} - \sqrt[3]{x}
\end{array}

Sampling outcomes in binary64 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 8 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 7.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \sqrt[3]{x + 1} - \sqrt[3]{x} \end{array} \]
(FPCore (x) :precision binary64 (- (cbrt (+ x 1.0)) (cbrt x)))
double code(double x) {
	return cbrt((x + 1.0)) - cbrt(x);
}
public static double code(double x) {
	return Math.cbrt((x + 1.0)) - Math.cbrt(x);
}
function code(x)
	return Float64(cbrt(Float64(x + 1.0)) - cbrt(x))
end
code[x_] := N[(N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision] - N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\sqrt[3]{x + 1} - \sqrt[3]{x}
\end{array}

Alternative 1: 98.0% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{-1}{\frac{x}{\frac{0.1111111111111111}{{x}^{0.6666666666666666}} + \sqrt[3]{x} \cdot -0.3333333333333333}} \end{array} \]
(FPCore (x)
 :precision binary64
 (/
  -1.0
  (/
   x
   (+
    (/ 0.1111111111111111 (pow x 0.6666666666666666))
    (* (cbrt x) -0.3333333333333333)))))
double code(double x) {
	return -1.0 / (x / ((0.1111111111111111 / pow(x, 0.6666666666666666)) + (cbrt(x) * -0.3333333333333333)));
}
public static double code(double x) {
	return -1.0 / (x / ((0.1111111111111111 / Math.pow(x, 0.6666666666666666)) + (Math.cbrt(x) * -0.3333333333333333)));
}
function code(x)
	return Float64(-1.0 / Float64(x / Float64(Float64(0.1111111111111111 / (x ^ 0.6666666666666666)) + Float64(cbrt(x) * -0.3333333333333333))))
end
code[x_] := N[(-1.0 / N[(x / N[(N[(0.1111111111111111 / N[Power[x, 0.6666666666666666], $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, 1/3], $MachinePrecision] * -0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{-1}{\frac{x}{\frac{0.1111111111111111}{{x}^{0.6666666666666666}} + \sqrt[3]{x} \cdot -0.3333333333333333}}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\frac{1}{3}} - \sqrt[3]{\color{blue}{x}} \]
    2. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - \sqrt[3]{\color{blue}{x}} \]
    3. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\color{blue}{\frac{1}{3}}} \]
    4. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \color{blue}{{x}^{\left(\frac{\frac{1}{3}}{2}\right)}} \]
    5. difference-of-squaresN/A

      \[\leadsto \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)} \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right) \]
    7. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    8. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(\color{blue}{x} + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    10. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(x + \color{blue}{1}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    11. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \left(\frac{\frac{1}{3}}{2}\right)\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{\color{blue}{2}}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    13. --lowering--.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right)\right) \]
    14. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({\color{blue}{x}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    15. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    16. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    17. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    18. metadata-eval6.5%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right)\right) \]
  4. Applied egg-rr6.5%

    \[\leadsto \color{blue}{\left({\left(x + 1\right)}^{0.16666666666666666} + {x}^{0.16666666666666666}\right) \cdot \left({\left(x + 1\right)}^{0.16666666666666666} - {x}^{0.16666666666666666}\right)} \]
  5. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)}{x}} \]
  6. Step-by-step derivation
    1. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\left(\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)\right), \color{blue}{x}\right) \]
  7. Simplified98.2%

    \[\leadsto \color{blue}{\frac{0.3333333333333333 \cdot \sqrt[3]{x} + \sqrt[3]{\frac{1}{x \cdot x}} \cdot -0.1111111111111111}{x}} \]
  8. Applied egg-rr98.3%

    \[\leadsto \color{blue}{\frac{-1}{\frac{x}{\frac{0.1111111111111111}{{x}^{0.6666666666666666}} + \sqrt[3]{x} \cdot -0.3333333333333333}}} \]
  9. Add Preprocessing

Alternative 2: 98.1% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{\sqrt[3]{x} \cdot 0.3333333333333333 + \frac{-0.1111111111111111}{{x}^{0.6666666666666666}}}{x} \end{array} \]
(FPCore (x)
 :precision binary64
 (/
  (+
   (* (cbrt x) 0.3333333333333333)
   (/ -0.1111111111111111 (pow x 0.6666666666666666)))
  x))
double code(double x) {
	return ((cbrt(x) * 0.3333333333333333) + (-0.1111111111111111 / pow(x, 0.6666666666666666))) / x;
}
public static double code(double x) {
	return ((Math.cbrt(x) * 0.3333333333333333) + (-0.1111111111111111 / Math.pow(x, 0.6666666666666666))) / x;
}
function code(x)
	return Float64(Float64(Float64(cbrt(x) * 0.3333333333333333) + Float64(-0.1111111111111111 / (x ^ 0.6666666666666666))) / x)
end
code[x_] := N[(N[(N[(N[Power[x, 1/3], $MachinePrecision] * 0.3333333333333333), $MachinePrecision] + N[(-0.1111111111111111 / N[Power[x, 0.6666666666666666], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}

\\
\frac{\sqrt[3]{x} \cdot 0.3333333333333333 + \frac{-0.1111111111111111}{{x}^{0.6666666666666666}}}{x}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\frac{1}{3}} - \sqrt[3]{\color{blue}{x}} \]
    2. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - \sqrt[3]{\color{blue}{x}} \]
    3. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\color{blue}{\frac{1}{3}}} \]
    4. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \color{blue}{{x}^{\left(\frac{\frac{1}{3}}{2}\right)}} \]
    5. difference-of-squaresN/A

      \[\leadsto \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)} \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right) \]
    7. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    8. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(\color{blue}{x} + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    10. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(x + \color{blue}{1}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    11. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \left(\frac{\frac{1}{3}}{2}\right)\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{\color{blue}{2}}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    13. --lowering--.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right)\right) \]
    14. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({\color{blue}{x}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    15. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    16. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    17. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    18. metadata-eval6.5%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right)\right) \]
  4. Applied egg-rr6.5%

    \[\leadsto \color{blue}{\left({\left(x + 1\right)}^{0.16666666666666666} + {x}^{0.16666666666666666}\right) \cdot \left({\left(x + 1\right)}^{0.16666666666666666} - {x}^{0.16666666666666666}\right)} \]
  5. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)}{x}} \]
  6. Step-by-step derivation
    1. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\left(\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)\right), \color{blue}{x}\right) \]
  7. Simplified98.2%

    \[\leadsto \color{blue}{\frac{0.3333333333333333 \cdot \sqrt[3]{x} + \sqrt[3]{\frac{1}{x \cdot x}} \cdot -0.1111111111111111}{x}} \]
  8. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{-1}{9} \cdot \sqrt[3]{\frac{1}{x \cdot x}}\right)\right), x\right) \]
    2. associate-/r*N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{-1}{9} \cdot \sqrt[3]{\frac{\frac{1}{x}}{x}}\right)\right), x\right) \]
    3. cbrt-divN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{-1}{9} \cdot \frac{\sqrt[3]{\frac{1}{x}}}{\sqrt[3]{x}}\right)\right), x\right) \]
    4. cbrt-divN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{-1}{9} \cdot \frac{\frac{\sqrt[3]{1}}{\sqrt[3]{x}}}{\sqrt[3]{x}}\right)\right), x\right) \]
    5. metadata-evalN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{-1}{9} \cdot \frac{\frac{1}{\sqrt[3]{x}}}{\sqrt[3]{x}}\right)\right), x\right) \]
    6. associate-*r/N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{\frac{-1}{9} \cdot \frac{1}{\sqrt[3]{x}}}{\sqrt[3]{x}}\right)\right), x\right) \]
    7. un-div-invN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{\frac{\frac{-1}{9}}{\sqrt[3]{x}}}{\sqrt[3]{x}}\right)\right), x\right) \]
    8. associate-/r*N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \left(\frac{\frac{-1}{9}}{\sqrt[3]{x} \cdot \sqrt[3]{x}}\right)\right), x\right) \]
    9. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \left(\sqrt[3]{x} \cdot \sqrt[3]{x}\right)\right)\right), x\right) \]
    10. pow1/3N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \left({x}^{\frac{1}{3}} \cdot \sqrt[3]{x}\right)\right)\right), x\right) \]
    11. pow1/3N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \left({x}^{\frac{1}{3}} \cdot {x}^{\frac{1}{3}}\right)\right)\right), x\right) \]
    12. pow-sqrN/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \left({x}^{\left(2 \cdot \frac{1}{3}\right)}\right)\right)\right), x\right) \]
    13. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \mathsf{pow.f64}\left(x, \left(2 \cdot \frac{1}{3}\right)\right)\right)\right), x\right) \]
    14. metadata-eval98.2%

      \[\leadsto \mathsf{/.f64}\left(\mathsf{+.f64}\left(\mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(x\right)\right), \mathsf{/.f64}\left(\frac{-1}{9}, \mathsf{pow.f64}\left(x, \frac{2}{3}\right)\right)\right), x\right) \]
  9. Applied egg-rr98.2%

    \[\leadsto \frac{0.3333333333333333 \cdot \sqrt[3]{x} + \color{blue}{\frac{-0.1111111111111111}{{x}^{0.6666666666666666}}}}{x} \]
  10. Final simplification98.2%

    \[\leadsto \frac{\sqrt[3]{x} \cdot 0.3333333333333333 + \frac{-0.1111111111111111}{{x}^{0.6666666666666666}}}{x} \]
  11. Add Preprocessing

Alternative 3: 92.2% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;x \leq 1.35 \cdot 10^{+154}:\\ \;\;\;\;\frac{0.3333333333333333}{\sqrt[3]{x \cdot x}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.3333333333333333}{{x}^{0.6666666666666666}}\\ \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (if (<= x 1.35e+154)
   (/ 0.3333333333333333 (cbrt (* x x)))
   (/ 0.3333333333333333 (pow x 0.6666666666666666))))
double code(double x) {
	double tmp;
	if (x <= 1.35e+154) {
		tmp = 0.3333333333333333 / cbrt((x * x));
	} else {
		tmp = 0.3333333333333333 / pow(x, 0.6666666666666666);
	}
	return tmp;
}
public static double code(double x) {
	double tmp;
	if (x <= 1.35e+154) {
		tmp = 0.3333333333333333 / Math.cbrt((x * x));
	} else {
		tmp = 0.3333333333333333 / Math.pow(x, 0.6666666666666666);
	}
	return tmp;
}
function code(x)
	tmp = 0.0
	if (x <= 1.35e+154)
		tmp = Float64(0.3333333333333333 / cbrt(Float64(x * x)));
	else
		tmp = Float64(0.3333333333333333 / (x ^ 0.6666666666666666));
	end
	return tmp
end
code[x_] := If[LessEqual[x, 1.35e+154], N[(0.3333333333333333 / N[Power[N[(x * x), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[Power[x, 0.6666666666666666], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;x \leq 1.35 \cdot 10^{+154}:\\
\;\;\;\;\frac{0.3333333333333333}{\sqrt[3]{x \cdot x}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{{x}^{0.6666666666666666}}\\


\end{array}
\end{array}
Derivation
  1. Split input into 2 regimes
  2. if x < 1.35000000000000003e154

    1. Initial program 8.0%

      \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \sqrt[3]{\frac{1}{{x}^{2}}}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{\frac{1}{{x}^{2}}}\right)}\right) \]
      2. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{\frac{-1 \cdot -1}{{x}^{2}}}\right)\right) \]
      3. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{-1 \cdot \frac{-1}{{x}^{2}}}\right)\right) \]
      4. cbrt-lowering-cbrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(-1 \cdot \frac{-1}{{x}^{2}}\right)\right)\right) \]
      5. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{-1 \cdot -1}{{x}^{2}}\right)\right)\right) \]
      6. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{1}{{x}^{2}}\right)\right)\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{2}\right)\right)\right)\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left(x \cdot x\right)\right)\right)\right) \]
      9. *-lowering-*.f6495.8%

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, x\right)\right)\right)\right) \]
    5. Simplified95.8%

      \[\leadsto \color{blue}{0.3333333333333333 \cdot \sqrt[3]{\frac{1}{x \cdot x}}} \]
    6. Step-by-step derivation
      1. cbrt-divN/A

        \[\leadsto \frac{1}{3} \cdot \frac{\sqrt[3]{1}}{\color{blue}{\sqrt[3]{x \cdot x}}} \]
      2. metadata-evalN/A

        \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{\color{blue}{x \cdot x}}} \]
      3. cbrt-prodN/A

        \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{x} \cdot \color{blue}{\sqrt[3]{x}}} \]
      4. un-div-invN/A

        \[\leadsto \frac{\frac{1}{3}}{\color{blue}{\sqrt[3]{x} \cdot \sqrt[3]{x}}} \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{x} \cdot \sqrt[3]{x}\right)}\right) \]
      6. pow1/3N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot \sqrt[3]{\color{blue}{x}}\right)\right) \]
      7. pow1/3N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot {x}^{\color{blue}{\frac{1}{3}}}\right)\right) \]
      8. pow-prod-upN/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}}\right)\right) \]
      9. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}\right)\right) \]
      10. metadata-eval89.1%

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \frac{2}{3}\right)\right) \]
    7. Applied egg-rr89.1%

      \[\leadsto \color{blue}{\frac{0.3333333333333333}{{x}^{0.6666666666666666}}} \]
    8. Step-by-step derivation
      1. metadata-evalN/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\left(2 \cdot \color{blue}{\frac{1}{3}}\right)}\right)\right) \]
      2. pow-powN/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({\left({x}^{2}\right)}^{\color{blue}{\frac{1}{3}}}\right)\right) \]
      3. pow2N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({\left(x \cdot x\right)}^{\frac{1}{3}}\right)\right) \]
      4. pow1/3N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left(\sqrt[3]{x \cdot x}\right)\right) \]
      5. cbrt-lowering-cbrt.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(x \cdot x\right)\right)\right) \]
      6. *-lowering-*.f6496.0%

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{*.f64}\left(x, x\right)\right)\right) \]
    9. Applied egg-rr96.0%

      \[\leadsto \frac{0.3333333333333333}{\color{blue}{\sqrt[3]{x \cdot x}}} \]

    if 1.35000000000000003e154 < x

    1. Initial program 4.7%

      \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
    2. Add Preprocessing
    3. Taylor expanded in x around inf

      \[\leadsto \color{blue}{\frac{1}{3} \cdot \sqrt[3]{\frac{1}{{x}^{2}}}} \]
    4. Step-by-step derivation
      1. *-lowering-*.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{\frac{1}{{x}^{2}}}\right)}\right) \]
      2. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{\frac{-1 \cdot -1}{{x}^{2}}}\right)\right) \]
      3. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{-1 \cdot \frac{-1}{{x}^{2}}}\right)\right) \]
      4. cbrt-lowering-cbrt.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(-1 \cdot \frac{-1}{{x}^{2}}\right)\right)\right) \]
      5. associate-*r/N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{-1 \cdot -1}{{x}^{2}}\right)\right)\right) \]
      6. metadata-evalN/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{1}{{x}^{2}}\right)\right)\right) \]
      7. /-lowering-/.f64N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{2}\right)\right)\right)\right) \]
      8. unpow2N/A

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left(x \cdot x\right)\right)\right)\right) \]
      9. *-lowering-*.f644.7%

        \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, x\right)\right)\right)\right) \]
    5. Simplified4.7%

      \[\leadsto \color{blue}{0.3333333333333333 \cdot \sqrt[3]{\frac{1}{x \cdot x}}} \]
    6. Step-by-step derivation
      1. cbrt-divN/A

        \[\leadsto \frac{1}{3} \cdot \frac{\sqrt[3]{1}}{\color{blue}{\sqrt[3]{x \cdot x}}} \]
      2. metadata-evalN/A

        \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{\color{blue}{x \cdot x}}} \]
      3. cbrt-prodN/A

        \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{x} \cdot \color{blue}{\sqrt[3]{x}}} \]
      4. un-div-invN/A

        \[\leadsto \frac{\frac{1}{3}}{\color{blue}{\sqrt[3]{x} \cdot \sqrt[3]{x}}} \]
      5. /-lowering-/.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{x} \cdot \sqrt[3]{x}\right)}\right) \]
      6. pow1/3N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot \sqrt[3]{\color{blue}{x}}\right)\right) \]
      7. pow1/3N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot {x}^{\color{blue}{\frac{1}{3}}}\right)\right) \]
      8. pow-prod-upN/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}}\right)\right) \]
      9. pow-lowering-pow.f64N/A

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}\right)\right) \]
      10. metadata-eval89.2%

        \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \frac{2}{3}\right)\right) \]
    7. Applied egg-rr89.2%

      \[\leadsto \color{blue}{\frac{0.3333333333333333}{{x}^{0.6666666666666666}}} \]
  3. Recombined 2 regimes into one program.
  4. Add Preprocessing

Alternative 4: 97.0% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \frac{-1}{\frac{x}{\sqrt[3]{x} \cdot -0.3333333333333333}} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ -1.0 (/ x (* (cbrt x) -0.3333333333333333))))
double code(double x) {
	return -1.0 / (x / (cbrt(x) * -0.3333333333333333));
}
public static double code(double x) {
	return -1.0 / (x / (Math.cbrt(x) * -0.3333333333333333));
}
function code(x)
	return Float64(-1.0 / Float64(x / Float64(cbrt(x) * -0.3333333333333333)))
end
code[x_] := N[(-1.0 / N[(x / N[(N[Power[x, 1/3], $MachinePrecision] * -0.3333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{-1}{\frac{x}{\sqrt[3]{x} \cdot -0.3333333333333333}}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\frac{1}{3}} - \sqrt[3]{\color{blue}{x}} \]
    2. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - \sqrt[3]{\color{blue}{x}} \]
    3. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\color{blue}{\frac{1}{3}}} \]
    4. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \color{blue}{{x}^{\left(\frac{\frac{1}{3}}{2}\right)}} \]
    5. difference-of-squaresN/A

      \[\leadsto \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)} \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right) \]
    7. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    8. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(\color{blue}{x} + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    10. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(x + \color{blue}{1}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    11. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \left(\frac{\frac{1}{3}}{2}\right)\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{\color{blue}{2}}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    13. --lowering--.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right)\right) \]
    14. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({\color{blue}{x}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    15. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    16. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    17. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    18. metadata-eval6.5%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right)\right) \]
  4. Applied egg-rr6.5%

    \[\leadsto \color{blue}{\left({\left(x + 1\right)}^{0.16666666666666666} + {x}^{0.16666666666666666}\right) \cdot \left({\left(x + 1\right)}^{0.16666666666666666} - {x}^{0.16666666666666666}\right)} \]
  5. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)}{x}} \]
  6. Step-by-step derivation
    1. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\left(\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)\right), \color{blue}{x}\right) \]
  7. Simplified98.2%

    \[\leadsto \color{blue}{\frac{0.3333333333333333 \cdot \sqrt[3]{x} + \sqrt[3]{\frac{1}{x \cdot x}} \cdot -0.1111111111111111}{x}} \]
  8. Applied egg-rr98.3%

    \[\leadsto \color{blue}{\frac{-1}{\frac{x}{\frac{0.1111111111111111}{{x}^{0.6666666666666666}} + \sqrt[3]{x} \cdot -0.3333333333333333}}} \]
  9. Taylor expanded in x around inf

    \[\leadsto \mathsf{/.f64}\left(-1, \mathsf{/.f64}\left(x, \color{blue}{\left(\frac{-1}{3} \cdot \sqrt[3]{x}\right)}\right)\right) \]
  10. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{/.f64}\left(-1, \mathsf{/.f64}\left(x, \left(\sqrt[3]{x} \cdot \color{blue}{\frac{-1}{3}}\right)\right)\right) \]
    2. *-lowering-*.f64N/A

      \[\leadsto \mathsf{/.f64}\left(-1, \mathsf{/.f64}\left(x, \mathsf{*.f64}\left(\left(\sqrt[3]{x}\right), \color{blue}{\frac{-1}{3}}\right)\right)\right) \]
    3. cbrt-lowering-cbrt.f6497.4%

      \[\leadsto \mathsf{/.f64}\left(-1, \mathsf{/.f64}\left(x, \mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(x\right), \frac{-1}{3}\right)\right)\right) \]
  11. Simplified97.4%

    \[\leadsto \frac{-1}{\frac{x}{\color{blue}{\sqrt[3]{x} \cdot -0.3333333333333333}}} \]
  12. Add Preprocessing

Alternative 5: 97.1% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{\sqrt[3]{x} \cdot 0.3333333333333333}{x} \end{array} \]
(FPCore (x) :precision binary64 (/ (* (cbrt x) 0.3333333333333333) x))
double code(double x) {
	return (cbrt(x) * 0.3333333333333333) / x;
}
public static double code(double x) {
	return (Math.cbrt(x) * 0.3333333333333333) / x;
}
function code(x)
	return Float64(Float64(cbrt(x) * 0.3333333333333333) / x)
end
code[x_] := N[(N[(N[Power[x, 1/3], $MachinePrecision] * 0.3333333333333333), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}

\\
\frac{\sqrt[3]{x} \cdot 0.3333333333333333}{x}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\frac{1}{3}} - \sqrt[3]{\color{blue}{x}} \]
    2. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - \sqrt[3]{\color{blue}{x}} \]
    3. pow1/3N/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\color{blue}{\frac{1}{3}}} \]
    4. sqr-powN/A

      \[\leadsto {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot {\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)} \cdot \color{blue}{{x}^{\left(\frac{\frac{1}{3}}{2}\right)}} \]
    5. difference-of-squaresN/A

      \[\leadsto \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right) \cdot \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)} \]
    6. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} + {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right) \]
    7. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left(\color{blue}{{\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    8. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\color{blue}{\left(x + 1\right)}}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    9. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(\color{blue}{x} + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    10. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right), \left({\left(x + \color{blue}{1}\right)}^{\left(\frac{\frac{1}{3}}{2}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    11. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \left(\frac{\frac{1}{3}}{2}\right)\right)\right), \left({\left(x + 1\right)}^{\color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    12. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{\color{blue}{2}}\right)} - {x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right) \]
    13. --lowering--.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\left({\left(x + 1\right)}^{\left(\frac{\frac{1}{3}}{2}\right)}\right), \color{blue}{\left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)}\right)\right) \]
    14. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\left(x + 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({\color{blue}{x}}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    15. +-lowering-+.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \left(\frac{\frac{1}{3}}{2}\right)\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    16. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \left({x}^{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    17. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{\frac{1}{3}}{2}\right)}\right)\right)\right) \]
    18. metadata-eval6.5%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{+.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right), \mathsf{\_.f64}\left(\mathsf{pow.f64}\left(\mathsf{+.f64}\left(x, 1\right), \frac{1}{6}\right), \mathsf{pow.f64}\left(x, \frac{1}{6}\right)\right)\right) \]
  4. Applied egg-rr6.5%

    \[\leadsto \color{blue}{\left({\left(x + 1\right)}^{0.16666666666666666} + {x}^{0.16666666666666666}\right) \cdot \left({\left(x + 1\right)}^{0.16666666666666666} - {x}^{0.16666666666666666}\right)} \]
  5. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)}{x}} \]
  6. Step-by-step derivation
    1. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\left(\frac{-5}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \left(\frac{1}{36} \cdot \sqrt[3]{\frac{1}{{x}^{2}}} + \frac{1}{3} \cdot \sqrt[3]{x}\right)\right), \color{blue}{x}\right) \]
  7. Simplified98.2%

    \[\leadsto \color{blue}{\frac{0.3333333333333333 \cdot \sqrt[3]{x} + \sqrt[3]{\frac{1}{x \cdot x}} \cdot -0.1111111111111111}{x}} \]
  8. Taylor expanded in x around inf

    \[\leadsto \mathsf{/.f64}\left(\color{blue}{\left(\frac{1}{3} \cdot \sqrt[3]{x}\right)}, x\right) \]
  9. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \mathsf{/.f64}\left(\left(\sqrt[3]{x} \cdot \frac{1}{3}\right), x\right) \]
    2. *-lowering-*.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(\left(\sqrt[3]{x}\right), \frac{1}{3}\right), x\right) \]
    3. cbrt-lowering-cbrt.f6497.4%

      \[\leadsto \mathsf{/.f64}\left(\mathsf{*.f64}\left(\mathsf{cbrt.f64}\left(x\right), \frac{1}{3}\right), x\right) \]
  10. Simplified97.4%

    \[\leadsto \frac{\color{blue}{\sqrt[3]{x} \cdot 0.3333333333333333}}{x} \]
  11. Add Preprocessing

Alternative 6: 88.8% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \frac{0.3333333333333333}{{x}^{0.6666666666666666}} \end{array} \]
(FPCore (x)
 :precision binary64
 (/ 0.3333333333333333 (pow x 0.6666666666666666)))
double code(double x) {
	return 0.3333333333333333 / pow(x, 0.6666666666666666);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = 0.3333333333333333d0 / (x ** 0.6666666666666666d0)
end function
public static double code(double x) {
	return 0.3333333333333333 / Math.pow(x, 0.6666666666666666);
}
def code(x):
	return 0.3333333333333333 / math.pow(x, 0.6666666666666666)
function code(x)
	return Float64(0.3333333333333333 / (x ^ 0.6666666666666666))
end
function tmp = code(x)
	tmp = 0.3333333333333333 / (x ^ 0.6666666666666666);
end
code[x_] := N[(0.3333333333333333 / N[Power[x, 0.6666666666666666], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{0.3333333333333333}{{x}^{0.6666666666666666}}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{1}{3} \cdot \sqrt[3]{\frac{1}{{x}^{2}}}} \]
  4. Step-by-step derivation
    1. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{\frac{1}{{x}^{2}}}\right)}\right) \]
    2. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{\frac{-1 \cdot -1}{{x}^{2}}}\right)\right) \]
    3. associate-*r/N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{-1 \cdot \frac{-1}{{x}^{2}}}\right)\right) \]
    4. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(-1 \cdot \frac{-1}{{x}^{2}}\right)\right)\right) \]
    5. associate-*r/N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{-1 \cdot -1}{{x}^{2}}\right)\right)\right) \]
    6. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{1}{{x}^{2}}\right)\right)\right) \]
    7. /-lowering-/.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{2}\right)\right)\right)\right) \]
    8. unpow2N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left(x \cdot x\right)\right)\right)\right) \]
    9. *-lowering-*.f6454.2%

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, x\right)\right)\right)\right) \]
  5. Simplified54.2%

    \[\leadsto \color{blue}{0.3333333333333333 \cdot \sqrt[3]{\frac{1}{x \cdot x}}} \]
  6. Step-by-step derivation
    1. cbrt-divN/A

      \[\leadsto \frac{1}{3} \cdot \frac{\sqrt[3]{1}}{\color{blue}{\sqrt[3]{x \cdot x}}} \]
    2. metadata-evalN/A

      \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{\color{blue}{x \cdot x}}} \]
    3. cbrt-prodN/A

      \[\leadsto \frac{1}{3} \cdot \frac{1}{\sqrt[3]{x} \cdot \color{blue}{\sqrt[3]{x}}} \]
    4. un-div-invN/A

      \[\leadsto \frac{\frac{1}{3}}{\color{blue}{\sqrt[3]{x} \cdot \sqrt[3]{x}}} \]
    5. /-lowering-/.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{x} \cdot \sqrt[3]{x}\right)}\right) \]
    6. pow1/3N/A

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot \sqrt[3]{\color{blue}{x}}\right)\right) \]
    7. pow1/3N/A

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\frac{1}{3}} \cdot {x}^{\color{blue}{\frac{1}{3}}}\right)\right) \]
    8. pow-prod-upN/A

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \left({x}^{\color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}}\right)\right) \]
    9. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \color{blue}{\left(\frac{1}{3} + \frac{1}{3}\right)}\right)\right) \]
    10. metadata-eval89.1%

      \[\leadsto \mathsf{/.f64}\left(\frac{1}{3}, \mathsf{pow.f64}\left(x, \frac{2}{3}\right)\right) \]
  7. Applied egg-rr89.1%

    \[\leadsto \color{blue}{\frac{0.3333333333333333}{{x}^{0.6666666666666666}}} \]
  8. Add Preprocessing

Alternative 7: 88.8% accurate, 2.0× speedup?

\[\begin{array}{l} \\ 0.3333333333333333 \cdot {x}^{-0.6666666666666666} \end{array} \]
(FPCore (x)
 :precision binary64
 (* 0.3333333333333333 (pow x -0.6666666666666666)))
double code(double x) {
	return 0.3333333333333333 * pow(x, -0.6666666666666666);
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = 0.3333333333333333d0 * (x ** (-0.6666666666666666d0))
end function
public static double code(double x) {
	return 0.3333333333333333 * Math.pow(x, -0.6666666666666666);
}
def code(x):
	return 0.3333333333333333 * math.pow(x, -0.6666666666666666)
function code(x)
	return Float64(0.3333333333333333 * (x ^ -0.6666666666666666))
end
function tmp = code(x)
	tmp = 0.3333333333333333 * (x ^ -0.6666666666666666);
end
code[x_] := N[(0.3333333333333333 * N[Power[x, -0.6666666666666666], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
0.3333333333333333 \cdot {x}^{-0.6666666666666666}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Taylor expanded in x around inf

    \[\leadsto \color{blue}{\frac{1}{3} \cdot \sqrt[3]{\frac{1}{{x}^{2}}}} \]
  4. Step-by-step derivation
    1. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \color{blue}{\left(\sqrt[3]{\frac{1}{{x}^{2}}}\right)}\right) \]
    2. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{\frac{-1 \cdot -1}{{x}^{2}}}\right)\right) \]
    3. associate-*r/N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \left(\sqrt[3]{-1 \cdot \frac{-1}{{x}^{2}}}\right)\right) \]
    4. cbrt-lowering-cbrt.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(-1 \cdot \frac{-1}{{x}^{2}}\right)\right)\right) \]
    5. associate-*r/N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{-1 \cdot -1}{{x}^{2}}\right)\right)\right) \]
    6. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\left(\frac{1}{{x}^{2}}\right)\right)\right) \]
    7. /-lowering-/.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left({x}^{2}\right)\right)\right)\right) \]
    8. unpow2N/A

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \left(x \cdot x\right)\right)\right)\right) \]
    9. *-lowering-*.f6454.2%

      \[\leadsto \mathsf{*.f64}\left(\frac{1}{3}, \mathsf{cbrt.f64}\left(\mathsf{/.f64}\left(1, \mathsf{*.f64}\left(x, x\right)\right)\right)\right) \]
  5. Simplified54.2%

    \[\leadsto \color{blue}{0.3333333333333333 \cdot \sqrt[3]{\frac{1}{x \cdot x}}} \]
  6. Step-by-step derivation
    1. *-commutativeN/A

      \[\leadsto \sqrt[3]{\frac{1}{x \cdot x}} \cdot \color{blue}{\frac{1}{3}} \]
    2. *-lowering-*.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\left(\sqrt[3]{\frac{1}{x \cdot x}}\right), \color{blue}{\frac{1}{3}}\right) \]
    3. pow1/3N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(\frac{1}{x \cdot x}\right)}^{\frac{1}{3}}\right), \frac{1}{3}\right) \]
    4. inv-powN/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left({\left(x \cdot x\right)}^{-1}\right)}^{\frac{1}{3}}\right), \frac{1}{3}\right) \]
    5. pow-powN/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left(x \cdot x\right)}^{\left(-1 \cdot \frac{1}{3}\right)}\right), \frac{1}{3}\right) \]
    6. pow2N/A

      \[\leadsto \mathsf{*.f64}\left(\left({\left({x}^{2}\right)}^{\left(-1 \cdot \frac{1}{3}\right)}\right), \frac{1}{3}\right) \]
    7. pow-powN/A

      \[\leadsto \mathsf{*.f64}\left(\left({x}^{\left(2 \cdot \left(-1 \cdot \frac{1}{3}\right)\right)}\right), \frac{1}{3}\right) \]
    8. pow-lowering-pow.f64N/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{pow.f64}\left(x, \left(2 \cdot \left(-1 \cdot \frac{1}{3}\right)\right)\right), \frac{1}{3}\right) \]
    9. metadata-evalN/A

      \[\leadsto \mathsf{*.f64}\left(\mathsf{pow.f64}\left(x, \left(2 \cdot \frac{-1}{3}\right)\right), \frac{1}{3}\right) \]
    10. metadata-eval89.1%

      \[\leadsto \mathsf{*.f64}\left(\mathsf{pow.f64}\left(x, \frac{-2}{3}\right), \frac{1}{3}\right) \]
  7. Applied egg-rr89.1%

    \[\leadsto \color{blue}{{x}^{-0.6666666666666666} \cdot 0.3333333333333333} \]
  8. Final simplification89.1%

    \[\leadsto 0.3333333333333333 \cdot {x}^{-0.6666666666666666} \]
  9. Add Preprocessing

Alternative 8: 1.8% accurate, 2.0× speedup?

\[\begin{array}{l} \\ 1 - \sqrt[3]{x} \end{array} \]
(FPCore (x) :precision binary64 (- 1.0 (cbrt x)))
double code(double x) {
	return 1.0 - cbrt(x);
}
public static double code(double x) {
	return 1.0 - Math.cbrt(x);
}
function code(x)
	return Float64(1.0 - cbrt(x))
end
code[x_] := N[(1.0 - N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
1 - \sqrt[3]{x}
\end{array}
Derivation
  1. Initial program 6.5%

    \[\sqrt[3]{x + 1} - \sqrt[3]{x} \]
  2. Add Preprocessing
  3. Taylor expanded in x around 0

    \[\leadsto \color{blue}{1 - \sqrt[3]{x}} \]
  4. Step-by-step derivation
    1. --lowering--.f64N/A

      \[\leadsto \mathsf{\_.f64}\left(1, \color{blue}{\left(\sqrt[3]{x}\right)}\right) \]
    2. cbrt-lowering-cbrt.f641.8%

      \[\leadsto \mathsf{\_.f64}\left(1, \mathsf{cbrt.f64}\left(x\right)\right) \]
  5. Simplified1.8%

    \[\leadsto \color{blue}{1 - \sqrt[3]{x}} \]
  6. Add Preprocessing

Developer Target 1: 98.5% accurate, 0.3× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sqrt[3]{x + 1}\\ \frac{1}{\left(t\_0 \cdot t\_0 + \sqrt[3]{x} \cdot t\_0\right) + \sqrt[3]{x} \cdot \sqrt[3]{x}} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (cbrt (+ x 1.0))))
   (/ 1.0 (+ (+ (* t_0 t_0) (* (cbrt x) t_0)) (* (cbrt x) (cbrt x))))))
double code(double x) {
	double t_0 = cbrt((x + 1.0));
	return 1.0 / (((t_0 * t_0) + (cbrt(x) * t_0)) + (cbrt(x) * cbrt(x)));
}
public static double code(double x) {
	double t_0 = Math.cbrt((x + 1.0));
	return 1.0 / (((t_0 * t_0) + (Math.cbrt(x) * t_0)) + (Math.cbrt(x) * Math.cbrt(x)));
}
function code(x)
	t_0 = cbrt(Float64(x + 1.0))
	return Float64(1.0 / Float64(Float64(Float64(t_0 * t_0) + Float64(cbrt(x) * t_0)) + Float64(cbrt(x) * cbrt(x))))
end
code[x_] := Block[{t$95$0 = N[Power[N[(x + 1.0), $MachinePrecision], 1/3], $MachinePrecision]}, N[(1.0 / N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] + N[(N[Power[x, 1/3], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, 1/3], $MachinePrecision] * N[Power[x, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sqrt[3]{x + 1}\\
\frac{1}{\left(t\_0 \cdot t\_0 + \sqrt[3]{x} \cdot t\_0\right) + \sqrt[3]{x} \cdot \sqrt[3]{x}}
\end{array}
\end{array}

Reproduce

?
herbie shell --seed 2024150 
(FPCore (x)
  :name "2cbrt (problem 3.3.4)"
  :precision binary64
  :pre (and (> x 1.0) (< x 1e+308))

  :alt
  (! :herbie-platform default (/ 1 (+ (* (cbrt (+ x 1)) (cbrt (+ x 1))) (* (cbrt x) (cbrt (+ x 1))) (* (cbrt x) (cbrt x)))))

  (- (cbrt (+ x 1.0)) (cbrt x)))