Graphics.Rasterific.Svg.PathConverter:segmentToBezier from rasterific-svg-0.2.3.1, A

Percentage Accurate: 76.5% → 99.8%
Time: 5.0s
Alternatives: 6
Speedup: 3.1×

Specification

?
\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sin \left(x \cdot 0.5\right)\\ \frac{\left(\frac{8}{3} \cdot t\_0\right) \cdot t\_0}{\sin x} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sin (* x 0.5)))) (/ (* (* (/ 8.0 3.0) t_0) t_0) (sin x))))
double code(double x) {
	double t_0 = sin((x * 0.5));
	return (((8.0 / 3.0) * t_0) * t_0) / sin(x);
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = sin((x * 0.5d0))
    code = (((8.0d0 / 3.0d0) * t_0) * t_0) / sin(x)
end function
public static double code(double x) {
	double t_0 = Math.sin((x * 0.5));
	return (((8.0 / 3.0) * t_0) * t_0) / Math.sin(x);
}
def code(x):
	t_0 = math.sin((x * 0.5))
	return (((8.0 / 3.0) * t_0) * t_0) / math.sin(x)
function code(x)
	t_0 = sin(Float64(x * 0.5))
	return Float64(Float64(Float64(Float64(8.0 / 3.0) * t_0) * t_0) / sin(x))
end
function tmp = code(x)
	t_0 = sin((x * 0.5));
	tmp = (((8.0 / 3.0) * t_0) * t_0) / sin(x);
end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(N[(8.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
\frac{\left(\frac{8}{3} \cdot t\_0\right) \cdot t\_0}{\sin x}
\end{array}
\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 6 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: 76.5% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := \sin \left(x \cdot 0.5\right)\\ \frac{\left(\frac{8}{3} \cdot t\_0\right) \cdot t\_0}{\sin x} \end{array} \end{array} \]
(FPCore (x)
 :precision binary64
 (let* ((t_0 (sin (* x 0.5)))) (/ (* (* (/ 8.0 3.0) t_0) t_0) (sin x))))
double code(double x) {
	double t_0 = sin((x * 0.5));
	return (((8.0 / 3.0) * t_0) * t_0) / sin(x);
}
real(8) function code(x)
    real(8), intent (in) :: x
    real(8) :: t_0
    t_0 = sin((x * 0.5d0))
    code = (((8.0d0 / 3.0d0) * t_0) * t_0) / sin(x)
end function
public static double code(double x) {
	double t_0 = Math.sin((x * 0.5));
	return (((8.0 / 3.0) * t_0) * t_0) / Math.sin(x);
}
def code(x):
	t_0 = math.sin((x * 0.5))
	return (((8.0 / 3.0) * t_0) * t_0) / math.sin(x)
function code(x)
	t_0 = sin(Float64(x * 0.5))
	return Float64(Float64(Float64(Float64(8.0 / 3.0) * t_0) * t_0) / sin(x))
end
function tmp = code(x)
	t_0 = sin((x * 0.5));
	tmp = (((8.0 / 3.0) * t_0) * t_0) / sin(x);
end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(N[(8.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}

\\
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
\frac{\left(\frac{8}{3} \cdot t\_0\right) \cdot t\_0}{\sin x}
\end{array}
\end{array}

Alternative 1: 99.8% accurate, 2.9× speedup?

\[\begin{array}{l} \\ \frac{\tan \left(x \cdot 0.5\right)}{0.75} \end{array} \]
(FPCore (x) :precision binary64 (/ (tan (* x 0.5)) 0.75))
double code(double x) {
	return tan((x * 0.5)) / 0.75;
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = tan((x * 0.5d0)) / 0.75d0
end function
public static double code(double x) {
	return Math.tan((x * 0.5)) / 0.75;
}
def code(x):
	return math.tan((x * 0.5)) / 0.75
function code(x)
	return Float64(tan(Float64(x * 0.5)) / 0.75)
end
function tmp = code(x)
	tmp = tan((x * 0.5)) / 0.75;
end
code[x_] := N[(N[Tan[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / 0.75), $MachinePrecision]
\begin{array}{l}

\\
\frac{\tan \left(x \cdot 0.5\right)}{0.75}
\end{array}
Derivation
  1. Initial program 76.5%

    \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}} \]
    2. clear-numN/A

      \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    3. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    4. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}} \]
    5. associate-*l*N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\frac{8}{3} \cdot \left(\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)}}} \]
    6. associate-/r*N/A

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sin x}{\frac{8}{3}}}{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    7. clear-numN/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}}} \]
    8. lift-sin.f64N/A

      \[\leadsto \frac{\color{blue}{\sin \left(x \cdot \frac{1}{2}\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}} \]
    9. lift-sin.f64N/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \color{blue}{\sin \left(x \cdot \frac{1}{2}\right)}}{\frac{\sin x}{\frac{8}{3}}} \]
    10. sin-multN/A

      \[\leadsto \frac{\color{blue}{\frac{\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    11. div-invN/A

      \[\leadsto \frac{\color{blue}{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    12. metadata-evalN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \color{blue}{\frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    13. frac-2negN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\color{blue}{\frac{\mathsf{neg}\left(\sin x\right)}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
    14. neg-mul-1N/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{-1 \cdot \sin x}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
    15. *-commutativeN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{\sin x \cdot -1}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
  4. Applied rewrites51.7%

    \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333} \]
  5. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3} \]
    2. lift--.f64N/A

      \[\leadsto \frac{\color{blue}{1 - \cos x}}{\sin x} \cdot \frac{4}{3} \]
    3. lift-cos.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\cos x}}{\sin x} \cdot \frac{4}{3} \]
    4. lift-sin.f64N/A

      \[\leadsto \frac{1 - \cos x}{\color{blue}{\sin x}} \cdot \frac{4}{3} \]
    5. hang-p0-tanN/A

      \[\leadsto \color{blue}{\tan \left(\frac{x}{2}\right)} \cdot \frac{4}{3} \]
    6. div-invN/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    7. metadata-evalN/A

      \[\leadsto \tan \left(x \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{4}{3} \]
    8. lift-*.f64N/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    9. lower-tan.f6499.6

      \[\leadsto \color{blue}{\tan \left(x \cdot 0.5\right)} \cdot 1.3333333333333333 \]
    10. lift-*.f64N/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    11. *-commutativeN/A

      \[\leadsto \tan \color{blue}{\left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    12. lift-*.f6499.6

      \[\leadsto \tan \color{blue}{\left(0.5 \cdot x\right)} \cdot 1.3333333333333333 \]
  6. Applied rewrites99.6%

    \[\leadsto \color{blue}{\tan \left(0.5 \cdot x\right)} \cdot 1.3333333333333333 \]
  7. Step-by-step derivation
    1. lift-tan.f64N/A

      \[\leadsto \color{blue}{\tan \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    2. tan-quotN/A

      \[\leadsto \color{blue}{\frac{\sin \left(\frac{1}{2} \cdot x\right)}{\cos \left(\frac{1}{2} \cdot x\right)}} \cdot \frac{4}{3} \]
    3. lift-*.f64N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\frac{1}{2} \cdot x\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    4. *-commutativeN/A

      \[\leadsto \frac{\sin \color{blue}{\left(x \cdot \frac{1}{2}\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    5. lower-/.f64N/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right)}{\cos \left(\frac{1}{2} \cdot x\right)}} \cdot \frac{4}{3} \]
    6. *-commutativeN/A

      \[\leadsto \frac{\sin \color{blue}{\left(\frac{1}{2} \cdot x\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    7. lift-*.f64N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\frac{1}{2} \cdot x\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    8. lower-sin.f64N/A

      \[\leadsto \frac{\color{blue}{\sin \left(\frac{1}{2} \cdot x\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    9. lift-*.f64N/A

      \[\leadsto \frac{\sin \color{blue}{\left(\frac{1}{2} \cdot x\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    10. *-commutativeN/A

      \[\leadsto \frac{\sin \color{blue}{\left(x \cdot \frac{1}{2}\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    11. lower-*.f64N/A

      \[\leadsto \frac{\sin \color{blue}{\left(x \cdot \frac{1}{2}\right)}}{\cos \left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    12. lower-cos.f6499.4

      \[\leadsto \frac{\sin \left(x \cdot 0.5\right)}{\color{blue}{\cos \left(0.5 \cdot x\right)}} \cdot 1.3333333333333333 \]
    13. lift-*.f64N/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right)}{\cos \color{blue}{\left(\frac{1}{2} \cdot x\right)}} \cdot \frac{4}{3} \]
    14. *-commutativeN/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right)}{\cos \color{blue}{\left(x \cdot \frac{1}{2}\right)}} \cdot \frac{4}{3} \]
    15. lower-*.f6499.4

      \[\leadsto \frac{\sin \left(x \cdot 0.5\right)}{\cos \color{blue}{\left(x \cdot 0.5\right)}} \cdot 1.3333333333333333 \]
  8. Applied rewrites99.4%

    \[\leadsto \color{blue}{\frac{\sin \left(x \cdot 0.5\right)}{\cos \left(x \cdot 0.5\right)}} \cdot 1.3333333333333333 \]
  9. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right)}{\cos \left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3}} \]
    2. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right)}{\cos \left(x \cdot \frac{1}{2}\right)}} \cdot \frac{4}{3} \]
    3. lift-sin.f64N/A

      \[\leadsto \frac{\color{blue}{\sin \left(x \cdot \frac{1}{2}\right)}}{\cos \left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    4. lift-cos.f64N/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right)}{\color{blue}{\cos \left(x \cdot \frac{1}{2}\right)}} \cdot \frac{4}{3} \]
    5. tan-quotN/A

      \[\leadsto \color{blue}{\tan \left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    6. lift-tan.f64N/A

      \[\leadsto \color{blue}{\tan \left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    7. metadata-evalN/A

      \[\leadsto \tan \left(x \cdot \frac{1}{2}\right) \cdot \color{blue}{\frac{1}{\frac{3}{4}}} \]
    8. div-invN/A

      \[\leadsto \color{blue}{\frac{\tan \left(x \cdot \frac{1}{2}\right)}{\frac{3}{4}}} \]
    9. lower-/.f6499.8

      \[\leadsto \color{blue}{\frac{\tan \left(x \cdot 0.5\right)}{0.75}} \]
    10. lift-*.f64N/A

      \[\leadsto \frac{\tan \color{blue}{\left(x \cdot \frac{1}{2}\right)}}{\frac{3}{4}} \]
    11. *-commutativeN/A

      \[\leadsto \frac{\tan \color{blue}{\left(\frac{1}{2} \cdot x\right)}}{\frac{3}{4}} \]
    12. lower-*.f6499.8

      \[\leadsto \frac{\tan \color{blue}{\left(0.5 \cdot x\right)}}{0.75} \]
  10. Applied rewrites99.8%

    \[\leadsto \color{blue}{\frac{\tan \left(0.5 \cdot x\right)}{0.75}} \]
  11. Final simplification99.8%

    \[\leadsto \frac{\tan \left(x \cdot 0.5\right)}{0.75} \]
  12. Add Preprocessing

Alternative 2: 99.4% accurate, 3.1× speedup?

\[\begin{array}{l} \\ 1.3333333333333333 \cdot \tan \left(x \cdot 0.5\right) \end{array} \]
(FPCore (x) :precision binary64 (* 1.3333333333333333 (tan (* x 0.5))))
double code(double x) {
	return 1.3333333333333333 * tan((x * 0.5));
}
real(8) function code(x)
    real(8), intent (in) :: x
    code = 1.3333333333333333d0 * tan((x * 0.5d0))
end function
public static double code(double x) {
	return 1.3333333333333333 * Math.tan((x * 0.5));
}
def code(x):
	return 1.3333333333333333 * math.tan((x * 0.5))
function code(x)
	return Float64(1.3333333333333333 * tan(Float64(x * 0.5)))
end
function tmp = code(x)
	tmp = 1.3333333333333333 * tan((x * 0.5));
end
code[x_] := N[(1.3333333333333333 * N[Tan[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
1.3333333333333333 \cdot \tan \left(x \cdot 0.5\right)
\end{array}
Derivation
  1. Initial program 76.5%

    \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}} \]
    2. clear-numN/A

      \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    3. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    4. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}} \]
    5. associate-*l*N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\frac{8}{3} \cdot \left(\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)}}} \]
    6. associate-/r*N/A

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sin x}{\frac{8}{3}}}{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    7. clear-numN/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}}} \]
    8. lift-sin.f64N/A

      \[\leadsto \frac{\color{blue}{\sin \left(x \cdot \frac{1}{2}\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}} \]
    9. lift-sin.f64N/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \color{blue}{\sin \left(x \cdot \frac{1}{2}\right)}}{\frac{\sin x}{\frac{8}{3}}} \]
    10. sin-multN/A

      \[\leadsto \frac{\color{blue}{\frac{\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    11. div-invN/A

      \[\leadsto \frac{\color{blue}{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    12. metadata-evalN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \color{blue}{\frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    13. frac-2negN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\color{blue}{\frac{\mathsf{neg}\left(\sin x\right)}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
    14. neg-mul-1N/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{-1 \cdot \sin x}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
    15. *-commutativeN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{\sin x \cdot -1}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
  4. Applied rewrites51.7%

    \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333} \]
  5. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3} \]
    2. lift--.f64N/A

      \[\leadsto \frac{\color{blue}{1 - \cos x}}{\sin x} \cdot \frac{4}{3} \]
    3. lift-cos.f64N/A

      \[\leadsto \frac{1 - \color{blue}{\cos x}}{\sin x} \cdot \frac{4}{3} \]
    4. lift-sin.f64N/A

      \[\leadsto \frac{1 - \cos x}{\color{blue}{\sin x}} \cdot \frac{4}{3} \]
    5. hang-p0-tanN/A

      \[\leadsto \color{blue}{\tan \left(\frac{x}{2}\right)} \cdot \frac{4}{3} \]
    6. div-invN/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    7. metadata-evalN/A

      \[\leadsto \tan \left(x \cdot \color{blue}{\frac{1}{2}}\right) \cdot \frac{4}{3} \]
    8. lift-*.f64N/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    9. lower-tan.f6499.6

      \[\leadsto \color{blue}{\tan \left(x \cdot 0.5\right)} \cdot 1.3333333333333333 \]
    10. lift-*.f64N/A

      \[\leadsto \tan \color{blue}{\left(x \cdot \frac{1}{2}\right)} \cdot \frac{4}{3} \]
    11. *-commutativeN/A

      \[\leadsto \tan \color{blue}{\left(\frac{1}{2} \cdot x\right)} \cdot \frac{4}{3} \]
    12. lift-*.f6499.6

      \[\leadsto \tan \color{blue}{\left(0.5 \cdot x\right)} \cdot 1.3333333333333333 \]
  6. Applied rewrites99.6%

    \[\leadsto \color{blue}{\tan \left(0.5 \cdot x\right)} \cdot 1.3333333333333333 \]
  7. Final simplification99.6%

    \[\leadsto 1.3333333333333333 \cdot \tan \left(x \cdot 0.5\right) \]
  8. Add Preprocessing

Alternative 3: 52.3% accurate, 7.6× speedup?

\[\begin{array}{l} \\ \frac{1}{\frac{1}{\frac{x}{\mathsf{fma}\left(x \cdot x, -0.125, 1.5\right)}}} \end{array} \]
(FPCore (x) :precision binary64 (/ 1.0 (/ 1.0 (/ x (fma (* x x) -0.125 1.5)))))
double code(double x) {
	return 1.0 / (1.0 / (x / fma((x * x), -0.125, 1.5)));
}
function code(x)
	return Float64(1.0 / Float64(1.0 / Float64(x / fma(Float64(x * x), -0.125, 1.5))))
end
code[x_] := N[(1.0 / N[(1.0 / N[(x / N[(N[(x * x), $MachinePrecision] * -0.125 + 1.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}

\\
\frac{1}{\frac{1}{\frac{x}{\mathsf{fma}\left(x \cdot x, -0.125, 1.5\right)}}}
\end{array}
Derivation
  1. Initial program 76.5%

    \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
  2. Add Preprocessing
  3. Step-by-step derivation
    1. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}} \]
    2. clear-numN/A

      \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    3. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    4. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}} \]
    5. associate-*l*N/A

      \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\frac{8}{3} \cdot \left(\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)}}} \]
    6. associate-/r*N/A

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sin x}{\frac{8}{3}}}{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
    7. clear-numN/A

      \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}}} \]
    8. lift-sin.f64N/A

      \[\leadsto \frac{\color{blue}{\sin \left(x \cdot \frac{1}{2}\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}} \]
    9. lift-sin.f64N/A

      \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \color{blue}{\sin \left(x \cdot \frac{1}{2}\right)}}{\frac{\sin x}{\frac{8}{3}}} \]
    10. sin-multN/A

      \[\leadsto \frac{\color{blue}{\frac{\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    11. div-invN/A

      \[\leadsto \frac{\color{blue}{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    12. metadata-evalN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \color{blue}{\frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
    13. frac-2negN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\color{blue}{\frac{\mathsf{neg}\left(\sin x\right)}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
    14. neg-mul-1N/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{-1 \cdot \sin x}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
    15. *-commutativeN/A

      \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{\sin x \cdot -1}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
  4. Applied rewrites51.7%

    \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333} \]
  5. Step-by-step derivation
    1. lift-*.f64N/A

      \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}} \]
    2. lift-/.f64N/A

      \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3} \]
    3. associate-*l/N/A

      \[\leadsto \color{blue}{\frac{\left(1 - \cos x\right) \cdot \frac{4}{3}}{\sin x}} \]
    4. clear-numN/A

      \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(1 - \cos x\right) \cdot \frac{4}{3}}}} \]
    5. lower-/.f64N/A

      \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(1 - \cos x\right) \cdot \frac{4}{3}}}} \]
    6. clear-numN/A

      \[\leadsto \frac{1}{\color{blue}{\frac{1}{\frac{\left(1 - \cos x\right) \cdot \frac{4}{3}}{\sin x}}}} \]
    7. associate-*l/N/A

      \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}}}} \]
    8. lift-/.f64N/A

      \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3}}} \]
    9. lift-*.f64N/A

      \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}}}} \]
    10. inv-powN/A

      \[\leadsto \frac{1}{\color{blue}{{\left(\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}\right)}^{-1}}} \]
    11. lower-pow.f6451.7

      \[\leadsto \frac{1}{\color{blue}{{\left(\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333\right)}^{-1}}} \]
  6. Applied rewrites99.1%

    \[\leadsto \color{blue}{\frac{1}{{\left(1.3333333333333333 \cdot \tan \left(0.5 \cdot x\right)\right)}^{-1}}} \]
  7. Taylor expanded in x around 0

    \[\leadsto \frac{1}{\color{blue}{\frac{\frac{3}{2} + \frac{-1}{8} \cdot {x}^{2}}{x}}} \]
  8. Step-by-step derivation
    1. lower-/.f64N/A

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{3}{2} + \frac{-1}{8} \cdot {x}^{2}}{x}}} \]
    2. +-commutativeN/A

      \[\leadsto \frac{1}{\frac{\color{blue}{\frac{-1}{8} \cdot {x}^{2} + \frac{3}{2}}}{x}} \]
    3. lower-fma.f64N/A

      \[\leadsto \frac{1}{\frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{8}, {x}^{2}, \frac{3}{2}\right)}}{x}} \]
    4. unpow2N/A

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(\frac{-1}{8}, \color{blue}{x \cdot x}, \frac{3}{2}\right)}{x}} \]
    5. lower-*.f6452.3

      \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(-0.125, \color{blue}{x \cdot x}, 1.5\right)}{x}} \]
  9. Applied rewrites52.3%

    \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(-0.125, x \cdot x, 1.5\right)}{x}}} \]
  10. Step-by-step derivation
    1. Applied rewrites52.4%

      \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{x}{\mathsf{fma}\left(x \cdot x, -0.125, 1.5\right)}}}} \]
    2. Add Preprocessing

    Alternative 4: 52.2% accurate, 11.8× speedup?

    \[\begin{array}{l} \\ \frac{1}{\mathsf{fma}\left(-0.125, x, \frac{1.5}{x}\right)} \end{array} \]
    (FPCore (x) :precision binary64 (/ 1.0 (fma -0.125 x (/ 1.5 x))))
    double code(double x) {
    	return 1.0 / fma(-0.125, x, (1.5 / x));
    }
    
    function code(x)
    	return Float64(1.0 / fma(-0.125, x, Float64(1.5 / x)))
    end
    
    code[x_] := N[(1.0 / N[(-0.125 * x + N[(1.5 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    \frac{1}{\mathsf{fma}\left(-0.125, x, \frac{1.5}{x}\right)}
    \end{array}
    
    Derivation
    1. Initial program 76.5%

      \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \color{blue}{\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}} \]
      2. clear-numN/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      3. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      4. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}} \]
      5. associate-*l*N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\frac{8}{3} \cdot \left(\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)}}} \]
      6. associate-/r*N/A

        \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sin x}{\frac{8}{3}}}{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      7. clear-numN/A

        \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}}} \]
      8. lift-sin.f64N/A

        \[\leadsto \frac{\color{blue}{\sin \left(x \cdot \frac{1}{2}\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}} \]
      9. lift-sin.f64N/A

        \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \color{blue}{\sin \left(x \cdot \frac{1}{2}\right)}}{\frac{\sin x}{\frac{8}{3}}} \]
      10. sin-multN/A

        \[\leadsto \frac{\color{blue}{\frac{\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
      11. div-invN/A

        \[\leadsto \frac{\color{blue}{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
      12. metadata-evalN/A

        \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \color{blue}{\frac{1}{2}}}{\frac{\sin x}{\frac{8}{3}}} \]
      13. frac-2negN/A

        \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\color{blue}{\frac{\mathsf{neg}\left(\sin x\right)}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
      14. neg-mul-1N/A

        \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{-1 \cdot \sin x}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
      15. *-commutativeN/A

        \[\leadsto \frac{\left(\cos \left(x \cdot \frac{1}{2} - x \cdot \frac{1}{2}\right) - \cos \left(x \cdot \frac{1}{2} + x \cdot \frac{1}{2}\right)\right) \cdot \frac{1}{2}}{\frac{\color{blue}{\sin x \cdot -1}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
    4. Applied rewrites51.7%

      \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333} \]
    5. Step-by-step derivation
      1. lift-*.f64N/A

        \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}} \]
      2. lift-/.f64N/A

        \[\leadsto \color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3} \]
      3. associate-*l/N/A

        \[\leadsto \color{blue}{\frac{\left(1 - \cos x\right) \cdot \frac{4}{3}}{\sin x}} \]
      4. clear-numN/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(1 - \cos x\right) \cdot \frac{4}{3}}}} \]
      5. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(1 - \cos x\right) \cdot \frac{4}{3}}}} \]
      6. clear-numN/A

        \[\leadsto \frac{1}{\color{blue}{\frac{1}{\frac{\left(1 - \cos x\right) \cdot \frac{4}{3}}{\sin x}}}} \]
      7. associate-*l/N/A

        \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}}}} \]
      8. lift-/.f64N/A

        \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x}} \cdot \frac{4}{3}}} \]
      9. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{1}{\color{blue}{\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}}}} \]
      10. inv-powN/A

        \[\leadsto \frac{1}{\color{blue}{{\left(\frac{1 - \cos x}{\sin x} \cdot \frac{4}{3}\right)}^{-1}}} \]
      11. lower-pow.f6451.7

        \[\leadsto \frac{1}{\color{blue}{{\left(\frac{1 - \cos x}{\sin x} \cdot 1.3333333333333333\right)}^{-1}}} \]
    6. Applied rewrites99.1%

      \[\leadsto \color{blue}{\frac{1}{{\left(1.3333333333333333 \cdot \tan \left(0.5 \cdot x\right)\right)}^{-1}}} \]
    7. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{3}{2} + \frac{-1}{8} \cdot {x}^{2}}{x}}} \]
    8. Step-by-step derivation
      1. lower-/.f64N/A

        \[\leadsto \frac{1}{\color{blue}{\frac{\frac{3}{2} + \frac{-1}{8} \cdot {x}^{2}}{x}}} \]
      2. +-commutativeN/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\frac{-1}{8} \cdot {x}^{2} + \frac{3}{2}}}{x}} \]
      3. lower-fma.f64N/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\mathsf{fma}\left(\frac{-1}{8}, {x}^{2}, \frac{3}{2}\right)}}{x}} \]
      4. unpow2N/A

        \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(\frac{-1}{8}, \color{blue}{x \cdot x}, \frac{3}{2}\right)}{x}} \]
      5. lower-*.f6452.3

        \[\leadsto \frac{1}{\frac{\mathsf{fma}\left(-0.125, \color{blue}{x \cdot x}, 1.5\right)}{x}} \]
    9. Applied rewrites52.3%

      \[\leadsto \frac{1}{\color{blue}{\frac{\mathsf{fma}\left(-0.125, x \cdot x, 1.5\right)}{x}}} \]
    10. Taylor expanded in x around 0

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{3}{2} + \frac{-1}{8} \cdot {x}^{2}}{x}}} \]
    11. Step-by-step derivation
      1. metadata-evalN/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\frac{3}{2} \cdot 1} + \frac{-1}{8} \cdot {x}^{2}}{x}} \]
      2. lft-mult-inverseN/A

        \[\leadsto \frac{1}{\frac{\frac{3}{2} \cdot \color{blue}{\left(\frac{1}{{x}^{2}} \cdot {x}^{2}\right)} + \frac{-1}{8} \cdot {x}^{2}}{x}} \]
      3. associate-*l*N/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot {x}^{2}} + \frac{-1}{8} \cdot {x}^{2}}{x}} \]
      4. distribute-rgt-inN/A

        \[\leadsto \frac{1}{\frac{\color{blue}{{x}^{2} \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} + \frac{-1}{8}\right)}}{x}} \]
      5. metadata-evalN/A

        \[\leadsto \frac{1}{\frac{{x}^{2} \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} + \color{blue}{\left(\mathsf{neg}\left(\frac{1}{8}\right)\right)}\right)}{x}} \]
      6. sub-negN/A

        \[\leadsto \frac{1}{\frac{{x}^{2} \cdot \color{blue}{\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)}}{x}} \]
      7. unpow2N/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\left(x \cdot x\right)} \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)}{x}} \]
      8. associate-*l*N/A

        \[\leadsto \frac{1}{\frac{\color{blue}{x \cdot \left(x \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)\right)}}{x}} \]
      9. *-commutativeN/A

        \[\leadsto \frac{1}{\frac{\color{blue}{\left(x \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)\right) \cdot x}}{x}} \]
      10. associate-/l*N/A

        \[\leadsto \frac{1}{\color{blue}{\left(x \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)\right) \cdot \frac{x}{x}}} \]
      11. *-inversesN/A

        \[\leadsto \frac{1}{\left(x \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)\right) \cdot \color{blue}{1}} \]
      12. *-rgt-identityN/A

        \[\leadsto \frac{1}{\color{blue}{x \cdot \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}} - \frac{1}{8}\right)}} \]
      13. distribute-rgt-out--N/A

        \[\leadsto \frac{1}{\color{blue}{\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x - \frac{1}{8} \cdot x}} \]
      14. cancel-sign-sub-invN/A

        \[\leadsto \frac{1}{\color{blue}{\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x + \left(\mathsf{neg}\left(\frac{1}{8}\right)\right) \cdot x}} \]
      15. metadata-evalN/A

        \[\leadsto \frac{1}{\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x + \color{blue}{\frac{-1}{8}} \cdot x} \]
      16. +-commutativeN/A

        \[\leadsto \frac{1}{\color{blue}{\frac{-1}{8} \cdot x + \left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right) \cdot x}} \]
      17. cancel-sign-subN/A

        \[\leadsto \frac{1}{\color{blue}{\frac{-1}{8} \cdot x - \left(\mathsf{neg}\left(\frac{3}{2} \cdot \frac{1}{{x}^{2}}\right)\right) \cdot x}} \]
    12. Applied rewrites52.4%

      \[\leadsto \frac{1}{\color{blue}{\mathsf{fma}\left(-0.125, x, \frac{1.5}{x}\right)}} \]
    13. Add Preprocessing

    Alternative 5: 51.8% accurate, 20.2× speedup?

    \[\begin{array}{l} \\ \frac{0.25 \cdot x}{0.375} \end{array} \]
    (FPCore (x) :precision binary64 (/ (* 0.25 x) 0.375))
    double code(double x) {
    	return (0.25 * x) / 0.375;
    }
    
    real(8) function code(x)
        real(8), intent (in) :: x
        code = (0.25d0 * x) / 0.375d0
    end function
    
    public static double code(double x) {
    	return (0.25 * x) / 0.375;
    }
    
    def code(x):
    	return (0.25 * x) / 0.375
    
    function code(x)
    	return Float64(Float64(0.25 * x) / 0.375)
    end
    
    function tmp = code(x)
    	tmp = (0.25 * x) / 0.375;
    end
    
    code[x_] := N[(N[(0.25 * x), $MachinePrecision] / 0.375), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    \frac{0.25 \cdot x}{0.375}
    \end{array}
    
    Derivation
    1. Initial program 76.5%

      \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
    2. Add Preprocessing
    3. Step-by-step derivation
      1. lift-/.f64N/A

        \[\leadsto \color{blue}{\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}} \]
      2. clear-numN/A

        \[\leadsto \color{blue}{\frac{1}{\frac{\sin x}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      3. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      4. lift-*.f64N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\left(\frac{8}{3} \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)} \cdot \sin \left(x \cdot \frac{1}{2}\right)}} \]
      5. associate-*l*N/A

        \[\leadsto \frac{1}{\frac{\sin x}{\color{blue}{\frac{8}{3} \cdot \left(\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)\right)}}} \]
      6. associate-/r*N/A

        \[\leadsto \frac{1}{\color{blue}{\frac{\frac{\sin x}{\frac{8}{3}}}{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}}} \]
      7. clear-numN/A

        \[\leadsto \color{blue}{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\sin x}{\frac{8}{3}}}} \]
      8. frac-2negN/A

        \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\color{blue}{\frac{\mathsf{neg}\left(\sin x\right)}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
      9. neg-mul-1N/A

        \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\color{blue}{-1 \cdot \sin x}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
      10. *-commutativeN/A

        \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\frac{\color{blue}{\sin x \cdot -1}}{\mathsf{neg}\left(\frac{8}{3}\right)}} \]
      11. associate-/l*N/A

        \[\leadsto \frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\color{blue}{\sin x \cdot \frac{-1}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
      12. associate-/r*N/A

        \[\leadsto \color{blue}{\frac{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}}{\frac{-1}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
      13. lower-/.f64N/A

        \[\leadsto \color{blue}{\frac{\frac{\sin \left(x \cdot \frac{1}{2}\right) \cdot \sin \left(x \cdot \frac{1}{2}\right)}{\sin x}}{\frac{-1}{\mathsf{neg}\left(\frac{8}{3}\right)}}} \]
    4. Applied rewrites51.7%

      \[\leadsto \color{blue}{\frac{\frac{\mathsf{fma}\left(-0.5, \cos x, 0.5\right)}{\sin x}}{0.375}} \]
    5. Taylor expanded in x around 0

      \[\leadsto \frac{\color{blue}{\frac{1}{4} \cdot x}}{\frac{3}{8}} \]
    6. Step-by-step derivation
      1. lower-*.f6452.4

        \[\leadsto \frac{\color{blue}{0.25 \cdot x}}{0.375} \]
    7. Applied rewrites52.4%

      \[\leadsto \frac{\color{blue}{0.25 \cdot x}}{0.375} \]
    8. Add Preprocessing

    Alternative 6: 51.5% accurate, 57.2× speedup?

    \[\begin{array}{l} \\ 0.6666666666666666 \cdot x \end{array} \]
    (FPCore (x) :precision binary64 (* 0.6666666666666666 x))
    double code(double x) {
    	return 0.6666666666666666 * x;
    }
    
    real(8) function code(x)
        real(8), intent (in) :: x
        code = 0.6666666666666666d0 * x
    end function
    
    public static double code(double x) {
    	return 0.6666666666666666 * x;
    }
    
    def code(x):
    	return 0.6666666666666666 * x
    
    function code(x)
    	return Float64(0.6666666666666666 * x)
    end
    
    function tmp = code(x)
    	tmp = 0.6666666666666666 * x;
    end
    
    code[x_] := N[(0.6666666666666666 * x), $MachinePrecision]
    
    \begin{array}{l}
    
    \\
    0.6666666666666666 \cdot x
    \end{array}
    
    Derivation
    1. Initial program 76.5%

      \[\frac{\left(\frac{8}{3} \cdot \sin \left(x \cdot 0.5\right)\right) \cdot \sin \left(x \cdot 0.5\right)}{\sin x} \]
    2. Add Preprocessing
    3. Taylor expanded in x around 0

      \[\leadsto \color{blue}{\frac{2}{3} \cdot x} \]
    4. Step-by-step derivation
      1. lower-*.f6452.1

        \[\leadsto \color{blue}{0.6666666666666666 \cdot x} \]
    5. Applied rewrites52.1%

      \[\leadsto \color{blue}{0.6666666666666666 \cdot x} \]
    6. Add Preprocessing

    Developer Target 1: 99.5% accurate, 1.0× speedup?

    \[\begin{array}{l} \\ \begin{array}{l} t_0 := \sin \left(x \cdot 0.5\right)\\ \frac{\frac{8 \cdot t\_0}{3}}{\frac{\sin x}{t\_0}} \end{array} \end{array} \]
    (FPCore (x)
     :precision binary64
     (let* ((t_0 (sin (* x 0.5)))) (/ (/ (* 8.0 t_0) 3.0) (/ (sin x) t_0))))
    double code(double x) {
    	double t_0 = sin((x * 0.5));
    	return ((8.0 * t_0) / 3.0) / (sin(x) / t_0);
    }
    
    real(8) function code(x)
        real(8), intent (in) :: x
        real(8) :: t_0
        t_0 = sin((x * 0.5d0))
        code = ((8.0d0 * t_0) / 3.0d0) / (sin(x) / t_0)
    end function
    
    public static double code(double x) {
    	double t_0 = Math.sin((x * 0.5));
    	return ((8.0 * t_0) / 3.0) / (Math.sin(x) / t_0);
    }
    
    def code(x):
    	t_0 = math.sin((x * 0.5))
    	return ((8.0 * t_0) / 3.0) / (math.sin(x) / t_0)
    
    function code(x)
    	t_0 = sin(Float64(x * 0.5))
    	return Float64(Float64(Float64(8.0 * t_0) / 3.0) / Float64(sin(x) / t_0))
    end
    
    function tmp = code(x)
    	t_0 = sin((x * 0.5));
    	tmp = ((8.0 * t_0) / 3.0) / (sin(x) / t_0);
    end
    
    code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(8.0 * t$95$0), $MachinePrecision] / 3.0), $MachinePrecision] / N[(N[Sin[x], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]]
    
    \begin{array}{l}
    
    \\
    \begin{array}{l}
    t_0 := \sin \left(x \cdot 0.5\right)\\
    \frac{\frac{8 \cdot t\_0}{3}}{\frac{\sin x}{t\_0}}
    \end{array}
    \end{array}
    

    Reproduce

    ?
    herbie shell --seed 2024332 
    (FPCore (x)
      :name "Graphics.Rasterific.Svg.PathConverter:segmentToBezier from rasterific-svg-0.2.3.1, A"
      :precision binary64
    
      :alt
      (! :herbie-platform default (/ (/ (* 8 (sin (* x 1/2))) 3) (/ (sin x) (sin (* x 1/2)))))
    
      (/ (* (* (/ 8.0 3.0) (sin (* x 0.5))) (sin (* x 0.5))) (sin x)))