
(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 8 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 (let* ((t_0 (sin (* 0.5 x)))) (* (/ t_0 (sin x)) (/ t_0 0.375))))
double code(double x) {
double t_0 = sin((0.5 * x));
return (t_0 / sin(x)) * (t_0 / 0.375);
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = sin((0.5d0 * x))
code = (t_0 / sin(x)) * (t_0 / 0.375d0)
end function
public static double code(double x) {
double t_0 = Math.sin((0.5 * x));
return (t_0 / Math.sin(x)) * (t_0 / 0.375);
}
def code(x): t_0 = math.sin((0.5 * x)) return (t_0 / math.sin(x)) * (t_0 / 0.375)
function code(x) t_0 = sin(Float64(0.5 * x)) return Float64(Float64(t_0 / sin(x)) * Float64(t_0 / 0.375)) end
function tmp = code(x) t_0 = sin((0.5 * x)); tmp = (t_0 / sin(x)) * (t_0 / 0.375); end
code[x_] := Block[{t$95$0 = N[Sin[N[(0.5 * x), $MachinePrecision]], $MachinePrecision]}, N[(N[(t$95$0 / N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 / 0.375), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(0.5 \cdot x\right)\\
\frac{t\_0}{\sin x} \cdot \frac{t\_0}{0.375}
\end{array}
\end{array}
Initial program 76.4%
lift-/.f64N/A
clear-numN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/r*N/A
clear-numN/A
frac-2negN/A
neg-mul-1N/A
*-commutativeN/A
associate-/l*N/A
times-fracN/A
lower-*.f64N/A
Applied rewrites99.5%
(FPCore (x) :precision binary64 (* (tan (* 0.5 x)) 1.3333333333333333))
double code(double x) {
return tan((0.5 * x)) * 1.3333333333333333;
}
real(8) function code(x)
real(8), intent (in) :: x
code = tan((0.5d0 * x)) * 1.3333333333333333d0
end function
public static double code(double x) {
return Math.tan((0.5 * x)) * 1.3333333333333333;
}
def code(x): return math.tan((0.5 * x)) * 1.3333333333333333
function code(x) return Float64(tan(Float64(0.5 * x)) * 1.3333333333333333) end
function tmp = code(x) tmp = tan((0.5 * x)) * 1.3333333333333333; end
code[x_] := N[(N[Tan[N[(0.5 * x), $MachinePrecision]], $MachinePrecision] * 1.3333333333333333), $MachinePrecision]
\begin{array}{l}
\\
\tan \left(0.5 \cdot x\right) \cdot 1.3333333333333333
\end{array}
Initial program 76.4%
lift-/.f64N/A
clear-numN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/r*N/A
clear-numN/A
lift-sin.f64N/A
lift-sin.f64N/A
sin-multN/A
div-invN/A
metadata-evalN/A
frac-2negN/A
neg-mul-1N/A
*-commutativeN/A
Applied rewrites50.4%
lift-/.f64N/A
lift--.f64N/A
lift-cos.f64N/A
lift-sin.f64N/A
hang-p0-tanN/A
div-invN/A
metadata-evalN/A
*-commutativeN/A
lift-*.f64N/A
lower-tan.f6499.4
Applied rewrites99.4%
(FPCore (x)
:precision binary64
(/
1.0
(/
(fma
(* x x)
(fma
x
(* x (fma x (* x -4.96031746031746e-5) -0.0020833333333333333))
-0.125)
1.5)
x)))
double code(double x) {
return 1.0 / (fma((x * x), fma(x, (x * fma(x, (x * -4.96031746031746e-5), -0.0020833333333333333)), -0.125), 1.5) / x);
}
function code(x) return Float64(1.0 / Float64(fma(Float64(x * x), fma(x, Float64(x * fma(x, Float64(x * -4.96031746031746e-5), -0.0020833333333333333)), -0.125), 1.5) / x)) end
code[x_] := N[(1.0 / N[(N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[(x * N[(x * -4.96031746031746e-5), $MachinePrecision] + -0.0020833333333333333), $MachinePrecision]), $MachinePrecision] + -0.125), $MachinePrecision] + 1.5), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot \mathsf{fma}\left(x, x \cdot -4.96031746031746 \cdot 10^{-5}, -0.0020833333333333333\right), -0.125\right), 1.5\right)}{x}}
\end{array}
Initial program 76.4%
lift-/.f64N/A
clear-numN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/r*N/A
clear-numN/A
frac-2negN/A
neg-mul-1N/A
*-commutativeN/A
associate-/l*N/A
times-fracN/A
lower-*.f64N/A
Applied rewrites99.5%
lift-*.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
clear-numN/A
*-commutativeN/A
frac-timesN/A
lower-/.f64N/A
frac-timesN/A
*-commutativeN/A
lower-/.f64N/A
lower-*.f64N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
cancel-sign-sub-invN/A
lower-+.f64N/A
Applied rewrites50.4%
Taylor expanded in x around 0
lower-/.f64N/A
Applied rewrites54.1%
(FPCore (x) :precision binary64 (/ 1.0 (/ (fma (* x x) (fma x (* x -0.0020833333333333333) -0.125) 1.5) x)))
double code(double x) {
return 1.0 / (fma((x * x), fma(x, (x * -0.0020833333333333333), -0.125), 1.5) / x);
}
function code(x) return Float64(1.0 / Float64(fma(Float64(x * x), fma(x, Float64(x * -0.0020833333333333333), -0.125), 1.5) / x)) end
code[x_] := N[(1.0 / N[(N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * -0.0020833333333333333), $MachinePrecision] + -0.125), $MachinePrecision] + 1.5), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot -0.0020833333333333333, -0.125\right), 1.5\right)}{x}}
\end{array}
Initial program 76.4%
lift-/.f64N/A
clear-numN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/r*N/A
clear-numN/A
frac-2negN/A
neg-mul-1N/A
*-commutativeN/A
associate-/l*N/A
times-fracN/A
lower-*.f64N/A
Applied rewrites99.5%
lift-*.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-timesN/A
clear-numN/A
*-commutativeN/A
frac-timesN/A
lower-/.f64N/A
frac-timesN/A
*-commutativeN/A
lower-/.f64N/A
lower-*.f64N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
cancel-sign-sub-invN/A
lower-+.f64N/A
Applied rewrites50.4%
Taylor expanded in x around 0
lower-/.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
sub-negN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6454.1
Applied rewrites54.1%
(FPCore (x) :precision binary64 (* 0.5 (/ (* 0.5 x) 0.375)))
double code(double x) {
return 0.5 * ((0.5 * x) / 0.375);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.5d0 * ((0.5d0 * x) / 0.375d0)
end function
public static double code(double x) {
return 0.5 * ((0.5 * x) / 0.375);
}
def code(x): return 0.5 * ((0.5 * x) / 0.375)
function code(x) return Float64(0.5 * Float64(Float64(0.5 * x) / 0.375)) end
function tmp = code(x) tmp = 0.5 * ((0.5 * x) / 0.375); end
code[x_] := N[(0.5 * N[(N[(0.5 * x), $MachinePrecision] / 0.375), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0.5 \cdot \frac{0.5 \cdot x}{0.375}
\end{array}
Initial program 76.4%
lift-/.f64N/A
clear-numN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/r*N/A
clear-numN/A
frac-2negN/A
neg-mul-1N/A
*-commutativeN/A
associate-/l*N/A
times-fracN/A
lower-*.f64N/A
Applied rewrites99.5%
Taylor expanded in x around 0
Applied rewrites57.4%
Taylor expanded in x around 0
*-commutativeN/A
lower-*.f6454.0
Applied rewrites54.0%
Final simplification54.0%
(FPCore (x) :precision binary64 (fma (* x (* x x)) 0.05555555555555555 (* x 0.6666666666666666)))
double code(double x) {
return fma((x * (x * x)), 0.05555555555555555, (x * 0.6666666666666666));
}
function code(x) return fma(Float64(x * Float64(x * x)), 0.05555555555555555, Float64(x * 0.6666666666666666)) end
code[x_] := N[(N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] * 0.05555555555555555 + N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(x \cdot \left(x \cdot x\right), 0.05555555555555555, x \cdot 0.6666666666666666\right)
\end{array}
Initial program 76.4%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-sin.f64N/A
lift-sin.f64N/A
sqr-sin-aN/A
sub-negN/A
distribute-rgt-inN/A
lift-/.f64N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lift-/.f64N/A
lower-+.f64N/A
Applied rewrites50.2%
Taylor expanded in x around 0
lower-*.f64N/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
lower-fma.f64N/A
*-commutativeN/A
lower-*.f6453.8
Applied rewrites53.8%
Applied rewrites53.8%
(FPCore (x) :precision binary64 (* x (fma 0.05555555555555555 (* x x) 0.6666666666666666)))
double code(double x) {
return x * fma(0.05555555555555555, (x * x), 0.6666666666666666);
}
function code(x) return Float64(x * fma(0.05555555555555555, Float64(x * x), 0.6666666666666666)) end
code[x_] := N[(x * N[(0.05555555555555555 * N[(x * x), $MachinePrecision] + 0.6666666666666666), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \mathsf{fma}\left(0.05555555555555555, x \cdot x, 0.6666666666666666\right)
\end{array}
Initial program 76.4%
Taylor expanded in x around 0
lower-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6453.8
Applied rewrites53.8%
(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 76.4%
Taylor expanded in x around 0
lower-*.f6453.7
Applied rewrites53.7%
Final simplification53.7%
(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 2024220
(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)))