
(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:
Herbie found 5 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(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}
(FPCore (x) :precision binary64 (/ (tan (/ x 2.0)) 0.75))
double code(double x) {
return tan((x / 2.0)) / 0.75;
}
real(8) function code(x)
real(8), intent (in) :: x
code = tan((x / 2.0d0)) / 0.75d0
end function
public static double code(double x) {
return Math.tan((x / 2.0)) / 0.75;
}
def code(x): return math.tan((x / 2.0)) / 0.75
function code(x) return Float64(tan(Float64(x / 2.0)) / 0.75) end
function tmp = code(x) tmp = tan((x / 2.0)) / 0.75; end
code[x_] := N[(N[Tan[N[(x / 2.0), $MachinePrecision]], $MachinePrecision] / 0.75), $MachinePrecision]
\begin{array}{l}
\\
\frac{\tan \left(\frac{x}{2}\right)}{0.75}
\end{array}
Initial program 75.7%
associate-/l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
sin-lowering-sin.f6499.2%
Simplified99.2%
clear-numN/A
un-div-invN/A
associate-*r/N/A
sin-multN/A
div-invN/A
metadata-evalN/A
associate-/l*N/A
*-lowering-*.f64N/A
Applied egg-rr54.0%
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
--lowering--.f64N/A
cos-lowering-cos.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f6454.0%
Applied egg-rr54.0%
div-invN/A
associate-/r*N/A
/-lowering-/.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f64N/A
metadata-eval99.8%
Applied egg-rr99.8%
(FPCore (x) :precision binary64 (* (tan (/ x 2.0)) 1.3333333333333333))
double code(double x) {
return tan((x / 2.0)) * 1.3333333333333333;
}
real(8) function code(x)
real(8), intent (in) :: x
code = tan((x / 2.0d0)) * 1.3333333333333333d0
end function
public static double code(double x) {
return Math.tan((x / 2.0)) * 1.3333333333333333;
}
def code(x): return math.tan((x / 2.0)) * 1.3333333333333333
function code(x) return Float64(tan(Float64(x / 2.0)) * 1.3333333333333333) end
function tmp = code(x) tmp = tan((x / 2.0)) * 1.3333333333333333; end
code[x_] := N[(N[Tan[N[(x / 2.0), $MachinePrecision]], $MachinePrecision] * 1.3333333333333333), $MachinePrecision]
\begin{array}{l}
\\
\tan \left(\frac{x}{2}\right) \cdot 1.3333333333333333
\end{array}
Initial program 75.7%
associate-/l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
sin-lowering-sin.f6499.2%
Simplified99.2%
clear-numN/A
un-div-invN/A
associate-*r/N/A
sin-multN/A
div-invN/A
metadata-evalN/A
associate-/l*N/A
*-lowering-*.f64N/A
Applied egg-rr54.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
hang-p0-tanN/A
*-rgt-identityN/A
associate-/l*N/A
metadata-evalN/A
*-commutativeN/A
tan-lowering-tan.f64N/A
*-commutativeN/A
metadata-evalN/A
associate-/l*N/A
*-rgt-identityN/A
/-lowering-/.f6499.4%
Simplified99.4%
Final simplification99.4%
(FPCore (x) :precision binary64 (/ (* x -0.25) -0.375))
double code(double x) {
return (x * -0.25) / -0.375;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x * (-0.25d0)) / (-0.375d0)
end function
public static double code(double x) {
return (x * -0.25) / -0.375;
}
def code(x): return (x * -0.25) / -0.375
function code(x) return Float64(Float64(x * -0.25) / -0.375) end
function tmp = code(x) tmp = (x * -0.25) / -0.375; end
code[x_] := N[(N[(x * -0.25), $MachinePrecision] / -0.375), $MachinePrecision]
\begin{array}{l}
\\
\frac{x \cdot -0.25}{-0.375}
\end{array}
Initial program 75.7%
associate-/l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
sin-lowering-sin.f6499.2%
Simplified99.2%
associate-*r/N/A
*-commutativeN/A
metadata-evalN/A
associate-*r/N/A
associate-*l/N/A
*-lowering-*.f64N/A
Applied egg-rr99.5%
*-commutativeN/A
frac-2negN/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6449.9%
Simplified49.9%
(FPCore (x) :precision binary64 (/ 1.0 (/ 1.5 x)))
double code(double x) {
return 1.0 / (1.5 / x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / (1.5d0 / x)
end function
public static double code(double x) {
return 1.0 / (1.5 / x);
}
def code(x): return 1.0 / (1.5 / x)
function code(x) return Float64(1.0 / Float64(1.5 / x)) end
function tmp = code(x) tmp = 1.0 / (1.5 / x); end
code[x_] := N[(1.0 / N[(1.5 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{1.5}{x}}
\end{array}
Initial program 75.7%
associate-/l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
sin-lowering-sin.f6499.2%
Simplified99.2%
associate-*r/N/A
*-commutativeN/A
metadata-evalN/A
associate-*r/N/A
associate-*l/N/A
*-lowering-*.f64N/A
Applied egg-rr99.5%
*-commutativeN/A
frac-2negN/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
un-div-invN/A
/-lowering-/.f64N/A
neg-sub0N/A
--lowering--.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
sin-lowering-sin.f64N/A
sin-lowering-sin.f64N/A
/-lowering-/.f64N/A
metadata-eval99.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6449.9%
Simplified49.9%
clear-numN/A
/-lowering-/.f64N/A
*-commutativeN/A
associate-/r*N/A
metadata-evalN/A
metadata-evalN/A
/-lowering-/.f64N/A
metadata-eval49.7%
Applied egg-rr49.7%
(FPCore (x) :precision binary64 (* x 0.6666666666666666))
double code(double x) {
return x * 0.6666666666666666;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * 0.6666666666666666d0
end function
public static double code(double x) {
return x * 0.6666666666666666;
}
def code(x): return x * 0.6666666666666666
function code(x) return Float64(x * 0.6666666666666666) end
function tmp = code(x) tmp = x * 0.6666666666666666; end
code[x_] := N[(x * 0.6666666666666666), $MachinePrecision]
\begin{array}{l}
\\
x \cdot 0.6666666666666666
\end{array}
Initial program 75.7%
associate-/l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sin-lowering-sin.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
sin-lowering-sin.f6499.2%
Simplified99.2%
Taylor expanded in x around 0
*-lowering-*.f6449.6%
Simplified49.6%
Final simplification49.6%
(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}
herbie shell --seed 2024158
(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)))