
(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 7 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 76.5%
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.f6499.3%
Simplified99.3%
associate-*r*N/A
clear-numN/A
un-div-invN/A
sin-multN/A
associate-/l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr51.4%
un-div-invN/A
associate-/r*N/A
/-lowering-/.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f6499.8%
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 76.5%
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.f6499.3%
Simplified99.3%
associate-*r*N/A
clear-numN/A
un-div-invN/A
sin-multN/A
associate-/l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr51.4%
associate-*r/N/A
times-fracN/A
metadata-evalN/A
metadata-evalN/A
*-lowering-*.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f64N/A
metadata-eval99.5%
Applied egg-rr99.5%
(FPCore (x) :precision binary64 (* 1.3333333333333333 (sin (* x 0.5))))
double code(double x) {
return 1.3333333333333333 * sin((x * 0.5));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.3333333333333333d0 * sin((x * 0.5d0))
end function
public static double code(double x) {
return 1.3333333333333333 * Math.sin((x * 0.5));
}
def code(x): return 1.3333333333333333 * math.sin((x * 0.5))
function code(x) return Float64(1.3333333333333333 * sin(Float64(x * 0.5))) end
function tmp = code(x) tmp = 1.3333333333333333 * sin((x * 0.5)); end
code[x_] := N[(1.3333333333333333 * N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1.3333333333333333 \cdot \sin \left(x \cdot 0.5\right)
\end{array}
Initial program 76.5%
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.f6499.3%
Simplified99.3%
Taylor expanded in x around 0
Simplified56.4%
Final simplification56.4%
(FPCore (x)
:precision binary64
(/
1.0
(/
(+
1.5
(*
(* x x)
(+
-0.125
(*
x
(* x (+ -0.0020833333333333333 (* x (* x -4.96031746031746e-5))))))))
x)))
double code(double x) {
return 1.0 / ((1.5 + ((x * x) * (-0.125 + (x * (x * (-0.0020833333333333333 + (x * (x * -4.96031746031746e-5)))))))) / x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / ((1.5d0 + ((x * x) * ((-0.125d0) + (x * (x * ((-0.0020833333333333333d0) + (x * (x * (-4.96031746031746d-5))))))))) / x)
end function
public static double code(double x) {
return 1.0 / ((1.5 + ((x * x) * (-0.125 + (x * (x * (-0.0020833333333333333 + (x * (x * -4.96031746031746e-5)))))))) / x);
}
def code(x): return 1.0 / ((1.5 + ((x * x) * (-0.125 + (x * (x * (-0.0020833333333333333 + (x * (x * -4.96031746031746e-5)))))))) / x)
function code(x) return Float64(1.0 / Float64(Float64(1.5 + Float64(Float64(x * x) * Float64(-0.125 + Float64(x * Float64(x * Float64(-0.0020833333333333333 + Float64(x * Float64(x * -4.96031746031746e-5)))))))) / x)) end
function tmp = code(x) tmp = 1.0 / ((1.5 + ((x * x) * (-0.125 + (x * (x * (-0.0020833333333333333 + (x * (x * -4.96031746031746e-5)))))))) / x); end
code[x_] := N[(1.0 / N[(N[(1.5 + N[(N[(x * x), $MachinePrecision] * N[(-0.125 + N[(x * N[(x * N[(-0.0020833333333333333 + N[(x * N[(x * -4.96031746031746e-5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{1.5 + \left(x \cdot x\right) \cdot \left(-0.125 + x \cdot \left(x \cdot \left(-0.0020833333333333333 + x \cdot \left(x \cdot -4.96031746031746 \cdot 10^{-5}\right)\right)\right)\right)}{x}}
\end{array}
Initial program 76.5%
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.f6499.3%
Simplified99.3%
associate-*r*N/A
clear-numN/A
un-div-invN/A
sin-multN/A
associate-/l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr51.4%
un-div-invN/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
Simplified53.9%
(FPCore (x) :precision binary64 (/ 1.0 (/ (+ 1.5 (* x (* x -0.125))) x)))
double code(double x) {
return 1.0 / ((1.5 + (x * (x * -0.125))) / x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / ((1.5d0 + (x * (x * (-0.125d0)))) / x)
end function
public static double code(double x) {
return 1.0 / ((1.5 + (x * (x * -0.125))) / x);
}
def code(x): return 1.0 / ((1.5 + (x * (x * -0.125))) / x)
function code(x) return Float64(1.0 / Float64(Float64(1.5 + Float64(x * Float64(x * -0.125))) / x)) end
function tmp = code(x) tmp = 1.0 / ((1.5 + (x * (x * -0.125))) / x); end
code[x_] := N[(1.0 / N[(N[(1.5 + N[(x * N[(x * -0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{1.5 + x \cdot \left(x \cdot -0.125\right)}{x}}
\end{array}
Initial program 76.5%
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.f6499.3%
Simplified99.3%
associate-*r*N/A
clear-numN/A
un-div-invN/A
sin-multN/A
associate-/l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr51.4%
un-div-invN/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6453.7%
Simplified53.7%
(FPCore (x) :precision binary64 (/ x 1.5))
double code(double x) {
return x / 1.5;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / 1.5d0
end function
public static double code(double x) {
return x / 1.5;
}
def code(x): return x / 1.5
function code(x) return Float64(x / 1.5) end
function tmp = code(x) tmp = x / 1.5; end
code[x_] := N[(x / 1.5), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1.5}
\end{array}
Initial program 76.5%
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.f6499.3%
Simplified99.3%
associate-*r*N/A
clear-numN/A
un-div-invN/A
sin-multN/A
associate-/l/N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr51.4%
un-div-invN/A
associate-/r*N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
hang-p0-tanN/A
tan-lowering-tan.f64N/A
/-lowering-/.f6499.5%
Applied egg-rr99.5%
Taylor expanded in x around 0
/-lowering-/.f6453.0%
Simplified53.0%
clear-numN/A
/-lowering-/.f6453.2%
Applied egg-rr53.2%
(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 76.5%
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.f6499.3%
Simplified99.3%
Taylor expanded in x around 0
*-lowering-*.f6452.9%
Simplified52.9%
Final simplification52.9%
(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 2024155
(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)))