
(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 13 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 (* x 0.5)))) (* (/ t_0 (sin x)) (/ t_0 0.375))))
double code(double x) {
double t_0 = sin((x * 0.5));
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((x * 0.5d0))
code = (t_0 / sin(x)) * (t_0 / 0.375d0)
end function
public static double code(double x) {
double t_0 = Math.sin((x * 0.5));
return (t_0 / Math.sin(x)) * (t_0 / 0.375);
}
def code(x): t_0 = math.sin((x * 0.5)) return (t_0 / math.sin(x)) * (t_0 / 0.375)
function code(x) t_0 = sin(Float64(x * 0.5)) return Float64(Float64(t_0 / sin(x)) * Float64(t_0 / 0.375)) end
function tmp = code(x) t_0 = sin((x * 0.5)); tmp = (t_0 / sin(x)) * (t_0 / 0.375); end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $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(x \cdot 0.5\right)\\
\frac{t_0}{\sin x} \cdot \frac{t_0}{0.375}
\end{array}
\end{array}
Initial program 73.7%
associate-/l*99.2%
*-commutative99.2%
associate-*l/99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
times-frac99.2%
*-commutative99.2%
times-frac99.2%
associate-/l*99.2%
*-commutative99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
associate-*l/99.2%
Simplified99.2%
associate-/r/99.2%
*-commutative99.2%
associate-*l/99.3%
associate-/r/99.2%
associate-*l/73.6%
div-inv73.7%
times-frac99.6%
metadata-eval99.6%
Applied egg-rr99.6%
Final simplification99.6%
(FPCore (x) :precision binary64 (if (<= x 2e-9) (/ x 1.5) (* 2.6666666666666665 (/ (pow (sin (* x 0.5)) 2.0) (sin x)))))
double code(double x) {
double tmp;
if (x <= 2e-9) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 * (pow(sin((x * 0.5)), 2.0) / sin(x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 2d-9) then
tmp = x / 1.5d0
else
tmp = 2.6666666666666665d0 * ((sin((x * 0.5d0)) ** 2.0d0) / sin(x))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 2e-9) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 * (Math.pow(Math.sin((x * 0.5)), 2.0) / Math.sin(x));
}
return tmp;
}
def code(x): tmp = 0 if x <= 2e-9: tmp = x / 1.5 else: tmp = 2.6666666666666665 * (math.pow(math.sin((x * 0.5)), 2.0) / math.sin(x)) return tmp
function code(x) tmp = 0.0 if (x <= 2e-9) tmp = Float64(x / 1.5); else tmp = Float64(2.6666666666666665 * Float64((sin(Float64(x * 0.5)) ^ 2.0) / sin(x))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 2e-9) tmp = x / 1.5; else tmp = 2.6666666666666665 * ((sin((x * 0.5)) ^ 2.0) / sin(x)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 2e-9], N[(x / 1.5), $MachinePrecision], N[(2.6666666666666665 * N[(N[Power[N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 2 \cdot 10^{-9}:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;2.6666666666666665 \cdot \frac{{\sin \left(x \cdot 0.5\right)}^{2}}{\sin x}\\
\end{array}
\end{array}
if x < 2.00000000000000012e-9Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 2.00000000000000012e-9 < x Initial program 99.0%
associate-/l*99.0%
*-commutative99.0%
associate-*l/98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
times-frac99.0%
*-commutative99.0%
times-frac99.0%
associate-/l*99.0%
*-commutative99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*l/99.0%
Simplified99.0%
div-inv99.0%
clear-num99.1%
associate-*r*99.1%
*-commutative99.1%
associate-*r/99.1%
pow299.1%
Applied egg-rr99.1%
Final simplification82.1%
(FPCore (x) :precision binary64 (if (<= x 1e-18) (/ x 1.5) (* (pow (sin (* x 0.5)) 2.0) (/ 2.6666666666666665 (sin x)))))
double code(double x) {
double tmp;
if (x <= 1e-18) {
tmp = x / 1.5;
} else {
tmp = pow(sin((x * 0.5)), 2.0) * (2.6666666666666665 / sin(x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 1d-18) then
tmp = x / 1.5d0
else
tmp = (sin((x * 0.5d0)) ** 2.0d0) * (2.6666666666666665d0 / sin(x))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 1e-18) {
tmp = x / 1.5;
} else {
tmp = Math.pow(Math.sin((x * 0.5)), 2.0) * (2.6666666666666665 / Math.sin(x));
}
return tmp;
}
def code(x): tmp = 0 if x <= 1e-18: tmp = x / 1.5 else: tmp = math.pow(math.sin((x * 0.5)), 2.0) * (2.6666666666666665 / math.sin(x)) return tmp
function code(x) tmp = 0.0 if (x <= 1e-18) tmp = Float64(x / 1.5); else tmp = Float64((sin(Float64(x * 0.5)) ^ 2.0) * Float64(2.6666666666666665 / sin(x))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 1e-18) tmp = x / 1.5; else tmp = (sin((x * 0.5)) ^ 2.0) * (2.6666666666666665 / sin(x)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 1e-18], N[(x / 1.5), $MachinePrecision], N[(N[Power[N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] * N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 10^{-18}:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;{\sin \left(x \cdot 0.5\right)}^{2} \cdot \frac{2.6666666666666665}{\sin x}\\
\end{array}
\end{array}
if x < 1.0000000000000001e-18Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 1.0000000000000001e-18 < x Initial program 99.0%
associate-/l*99.0%
*-commutative99.0%
associate-*l/98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
times-frac99.0%
*-commutative99.0%
times-frac99.0%
associate-/l*99.0%
*-commutative99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*l/99.0%
Simplified99.0%
associate-/r/99.0%
*-commutative99.0%
associate-*l/99.1%
associate-/r/99.0%
associate-*l/98.8%
div-inv98.8%
clear-num99.0%
pow299.0%
Applied egg-rr99.0%
Final simplification82.1%
(FPCore (x) :precision binary64 (if (<= x 1e-18) (/ x 1.5) (/ 2.6666666666666665 (* (sin x) (pow (sin (* x 0.5)) -2.0)))))
double code(double x) {
double tmp;
if (x <= 1e-18) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 / (sin(x) * pow(sin((x * 0.5)), -2.0));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 1d-18) then
tmp = x / 1.5d0
else
tmp = 2.6666666666666665d0 / (sin(x) * (sin((x * 0.5d0)) ** (-2.0d0)))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 1e-18) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 / (Math.sin(x) * Math.pow(Math.sin((x * 0.5)), -2.0));
}
return tmp;
}
def code(x): tmp = 0 if x <= 1e-18: tmp = x / 1.5 else: tmp = 2.6666666666666665 / (math.sin(x) * math.pow(math.sin((x * 0.5)), -2.0)) return tmp
function code(x) tmp = 0.0 if (x <= 1e-18) tmp = Float64(x / 1.5); else tmp = Float64(2.6666666666666665 / Float64(sin(x) * (sin(Float64(x * 0.5)) ^ -2.0))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 1e-18) tmp = x / 1.5; else tmp = 2.6666666666666665 / (sin(x) * (sin((x * 0.5)) ^ -2.0)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 1e-18], N[(x / 1.5), $MachinePrecision], N[(2.6666666666666665 / N[(N[Sin[x], $MachinePrecision] * N[Power[N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 10^{-18}:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;\frac{2.6666666666666665}{\sin x \cdot {\sin \left(x \cdot 0.5\right)}^{-2}}\\
\end{array}
\end{array}
if x < 1.0000000000000001e-18Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 1.0000000000000001e-18 < x Initial program 99.0%
associate-/l*99.0%
*-commutative99.0%
associate-*l/98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
times-frac99.0%
*-commutative99.0%
times-frac99.0%
associate-/l*99.0%
*-commutative99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*l/99.0%
Simplified99.0%
div-inv99.0%
clear-num99.1%
associate-*r*99.1%
*-commutative99.1%
associate-*r/99.1%
pow299.1%
Applied egg-rr99.1%
*-commutative99.1%
clear-num98.9%
un-div-inv98.9%
div-inv98.9%
pow-flip99.0%
metadata-eval99.0%
Applied egg-rr99.0%
Final simplification82.0%
(FPCore (x) :precision binary64 (let* ((t_0 (sin (* x 0.5)))) (* 2.6666666666666665 (* t_0 (/ t_0 (sin x))))))
double code(double x) {
double t_0 = sin((x * 0.5));
return 2.6666666666666665 * (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 = 2.6666666666666665d0 * (t_0 * (t_0 / sin(x)))
end function
public static double code(double x) {
double t_0 = Math.sin((x * 0.5));
return 2.6666666666666665 * (t_0 * (t_0 / Math.sin(x)));
}
def code(x): t_0 = math.sin((x * 0.5)) return 2.6666666666666665 * (t_0 * (t_0 / math.sin(x)))
function code(x) t_0 = sin(Float64(x * 0.5)) return Float64(2.6666666666666665 * Float64(t_0 * Float64(t_0 / sin(x)))) end
function tmp = code(x) t_0 = sin((x * 0.5)); tmp = 2.6666666666666665 * (t_0 * (t_0 / sin(x))); end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(2.6666666666666665 * N[(t$95$0 * N[(t$95$0 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
2.6666666666666665 \cdot \left(t_0 \cdot \frac{t_0}{\sin x}\right)
\end{array}
\end{array}
Initial program 73.7%
*-commutative73.7%
remove-double-neg73.7%
sin-neg73.7%
distribute-lft-neg-out73.7%
distribute-rgt-neg-in73.7%
associate-*l/99.2%
*-commutative99.2%
distribute-rgt-neg-in99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
remove-double-neg99.2%
associate-*l*99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (if (<= x 0.000165) (/ x 1.5) (* 2.6666666666666665 (/ (- 0.5 (/ (cos x) 2.0)) (sin x)))))
double code(double x) {
double tmp;
if (x <= 0.000165) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 * ((0.5 - (cos(x) / 2.0)) / sin(x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 0.000165d0) then
tmp = x / 1.5d0
else
tmp = 2.6666666666666665d0 * ((0.5d0 - (cos(x) / 2.0d0)) / sin(x))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 0.000165) {
tmp = x / 1.5;
} else {
tmp = 2.6666666666666665 * ((0.5 - (Math.cos(x) / 2.0)) / Math.sin(x));
}
return tmp;
}
def code(x): tmp = 0 if x <= 0.000165: tmp = x / 1.5 else: tmp = 2.6666666666666665 * ((0.5 - (math.cos(x) / 2.0)) / math.sin(x)) return tmp
function code(x) tmp = 0.0 if (x <= 0.000165) tmp = Float64(x / 1.5); else tmp = Float64(2.6666666666666665 * Float64(Float64(0.5 - Float64(cos(x) / 2.0)) / sin(x))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 0.000165) tmp = x / 1.5; else tmp = 2.6666666666666665 * ((0.5 - (cos(x) / 2.0)) / sin(x)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 0.000165], N[(x / 1.5), $MachinePrecision], N[(2.6666666666666665 * N[(N[(0.5 - N[(N[Cos[x], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.000165:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;2.6666666666666665 \cdot \frac{0.5 - \frac{\cos x}{2}}{\sin x}\\
\end{array}
\end{array}
if x < 1.65e-4Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 1.65e-4 < x Initial program 99.0%
associate-/l*99.0%
*-commutative99.0%
associate-*l/98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
times-frac99.0%
*-commutative99.0%
times-frac99.0%
associate-/l*99.0%
*-commutative99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*l/99.0%
Simplified99.0%
div-inv99.0%
clear-num99.1%
associate-*r*99.1%
*-commutative99.1%
associate-*r/99.1%
pow299.1%
Applied egg-rr99.1%
unpow299.0%
sin-mult98.4%
Applied egg-rr98.4%
div-sub98.4%
+-inverses98.4%
cos-098.4%
metadata-eval98.4%
distribute-lft-out98.4%
metadata-eval98.4%
*-rgt-identity98.4%
Simplified98.4%
Final simplification81.9%
(FPCore (x) :precision binary64 (if (<= x 0.000165) (/ x 1.5) (/ (- 0.5 (/ (cos x) 2.0)) (* (sin x) 0.375))))
double code(double x) {
double tmp;
if (x <= 0.000165) {
tmp = x / 1.5;
} else {
tmp = (0.5 - (cos(x) / 2.0)) / (sin(x) * 0.375);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 0.000165d0) then
tmp = x / 1.5d0
else
tmp = (0.5d0 - (cos(x) / 2.0d0)) / (sin(x) * 0.375d0)
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 0.000165) {
tmp = x / 1.5;
} else {
tmp = (0.5 - (Math.cos(x) / 2.0)) / (Math.sin(x) * 0.375);
}
return tmp;
}
def code(x): tmp = 0 if x <= 0.000165: tmp = x / 1.5 else: tmp = (0.5 - (math.cos(x) / 2.0)) / (math.sin(x) * 0.375) return tmp
function code(x) tmp = 0.0 if (x <= 0.000165) tmp = Float64(x / 1.5); else tmp = Float64(Float64(0.5 - Float64(cos(x) / 2.0)) / Float64(sin(x) * 0.375)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 0.000165) tmp = x / 1.5; else tmp = (0.5 - (cos(x) / 2.0)) / (sin(x) * 0.375); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 0.000165], N[(x / 1.5), $MachinePrecision], N[(N[(0.5 - N[(N[Cos[x], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] / N[(N[Sin[x], $MachinePrecision] * 0.375), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.000165:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.5 - \frac{\cos x}{2}}{\sin x \cdot 0.375}\\
\end{array}
\end{array}
if x < 1.65e-4Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 1.65e-4 < x Initial program 99.0%
*-commutative99.0%
remove-double-neg99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
associate-*l/99.1%
*-commutative99.1%
distribute-rgt-neg-in99.1%
distribute-lft-neg-out99.1%
sin-neg99.1%
remove-double-neg99.1%
associate-*l*99.1%
Simplified99.1%
*-commutative99.1%
associate-*r/99.1%
associate-/r/98.8%
div-inv99.0%
pow299.0%
metadata-eval99.0%
Applied egg-rr99.0%
unpow299.0%
sin-mult98.4%
Applied egg-rr98.4%
div-sub98.4%
+-inverses98.4%
cos-098.4%
metadata-eval98.4%
distribute-lft-out98.4%
metadata-eval98.4%
*-rgt-identity98.4%
Simplified98.4%
Final simplification81.9%
(FPCore (x) :precision binary64 (if (<= x 0.00021) (/ x 1.5) (/ (- 1.3333333333333333 (* (cos x) 1.3333333333333333)) (sin x))))
double code(double x) {
double tmp;
if (x <= 0.00021) {
tmp = x / 1.5;
} else {
tmp = (1.3333333333333333 - (cos(x) * 1.3333333333333333)) / sin(x);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 0.00021d0) then
tmp = x / 1.5d0
else
tmp = (1.3333333333333333d0 - (cos(x) * 1.3333333333333333d0)) / sin(x)
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 0.00021) {
tmp = x / 1.5;
} else {
tmp = (1.3333333333333333 - (Math.cos(x) * 1.3333333333333333)) / Math.sin(x);
}
return tmp;
}
def code(x): tmp = 0 if x <= 0.00021: tmp = x / 1.5 else: tmp = (1.3333333333333333 - (math.cos(x) * 1.3333333333333333)) / math.sin(x) return tmp
function code(x) tmp = 0.0 if (x <= 0.00021) tmp = Float64(x / 1.5); else tmp = Float64(Float64(1.3333333333333333 - Float64(cos(x) * 1.3333333333333333)) / sin(x)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 0.00021) tmp = x / 1.5; else tmp = (1.3333333333333333 - (cos(x) * 1.3333333333333333)) / sin(x); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 0.00021], N[(x / 1.5), $MachinePrecision], N[(N[(1.3333333333333333 - N[(N[Cos[x], $MachinePrecision] * 1.3333333333333333), $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 0.00021:\\
\;\;\;\;\frac{x}{1.5}\\
\mathbf{else}:\\
\;\;\;\;\frac{1.3333333333333333 - \cos x \cdot 1.3333333333333333}{\sin x}\\
\end{array}
\end{array}
if x < 2.1000000000000001e-4Initial program 63.4%
*-commutative63.4%
remove-double-neg63.4%
sin-neg63.4%
distribute-lft-neg-out63.4%
distribute-rgt-neg-in63.4%
associate-*l/99.3%
*-commutative99.3%
distribute-rgt-neg-in99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
remove-double-neg99.3%
associate-*l*99.3%
Simplified99.3%
Taylor expanded in x around 0 74.7%
add-cube-cbrt73.4%
pow373.4%
*-commutative73.4%
Applied egg-rr73.4%
rem-cube-cbrt74.7%
metadata-eval74.7%
div-inv75.2%
Applied egg-rr75.2%
if 2.1000000000000001e-4 < x Initial program 99.0%
associate-/l*99.0%
*-commutative99.0%
associate-*l/98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
metadata-eval98.9%
times-frac99.0%
*-commutative99.0%
times-frac99.0%
associate-/l*99.0%
*-commutative99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*l/99.0%
Simplified99.0%
associate-/r/99.0%
*-commutative99.0%
associate-*l/99.1%
associate-/r/99.0%
associate-*l/98.8%
div-inv99.0%
times-frac99.2%
metadata-eval99.2%
Applied egg-rr99.2%
frac-times99.0%
unpow299.0%
clear-num99.0%
Applied egg-rr99.0%
unpow299.0%
sin-mult98.4%
Applied egg-rr98.4%
div-sub98.4%
+-inverses98.4%
cos-098.4%
metadata-eval98.4%
distribute-lft-out98.4%
metadata-eval98.4%
*-rgt-identity98.4%
Simplified98.4%
associate-/l*98.2%
associate-/r/98.3%
div-sub98.1%
metadata-eval98.1%
clear-num98.0%
associate-/r/98.1%
metadata-eval98.1%
Applied egg-rr98.1%
associate-*l/98.1%
*-lft-identity98.1%
associate-/l*97.9%
associate-/r/98.2%
metadata-eval98.2%
Simplified98.2%
Final simplification81.8%
(FPCore (x) :precision binary64 (* (sin (* x 0.5)) 1.3333333333333333))
double code(double x) {
return sin((x * 0.5)) * 1.3333333333333333;
}
real(8) function code(x)
real(8), intent (in) :: x
code = sin((x * 0.5d0)) * 1.3333333333333333d0
end function
public static double code(double x) {
return Math.sin((x * 0.5)) * 1.3333333333333333;
}
def code(x): return math.sin((x * 0.5)) * 1.3333333333333333
function code(x) return Float64(sin(Float64(x * 0.5)) * 1.3333333333333333) end
function tmp = code(x) tmp = sin((x * 0.5)) * 1.3333333333333333; end
code[x_] := N[(N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] * 1.3333333333333333), $MachinePrecision]
\begin{array}{l}
\\
\sin \left(x \cdot 0.5\right) \cdot 1.3333333333333333
\end{array}
Initial program 73.7%
*-commutative73.7%
remove-double-neg73.7%
sin-neg73.7%
distribute-lft-neg-out73.7%
distribute-rgt-neg-in73.7%
associate-*r/99.2%
neg-mul-199.2%
*-commutative99.2%
associate-/l*99.2%
associate-/r/99.2%
*-commutative99.2%
Simplified99.2%
Taylor expanded in x around 0 58.2%
Final simplification58.2%
(FPCore (x) :precision binary64 (/ (sin (* x 0.5)) 0.75))
double code(double x) {
return sin((x * 0.5)) / 0.75;
}
real(8) function code(x)
real(8), intent (in) :: x
code = sin((x * 0.5d0)) / 0.75d0
end function
public static double code(double x) {
return Math.sin((x * 0.5)) / 0.75;
}
def code(x): return math.sin((x * 0.5)) / 0.75
function code(x) return Float64(sin(Float64(x * 0.5)) / 0.75) end
function tmp = code(x) tmp = sin((x * 0.5)) / 0.75; end
code[x_] := N[(N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / 0.75), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sin \left(x \cdot 0.5\right)}{0.75}
\end{array}
Initial program 73.7%
associate-/l*99.2%
*-commutative99.2%
associate-*l/99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
times-frac99.2%
*-commutative99.2%
times-frac99.2%
associate-/l*99.2%
*-commutative99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
associate-*l/99.2%
Simplified99.2%
associate-/r/99.2%
*-commutative99.2%
associate-*l/99.3%
associate-/r/99.2%
associate-*l/73.6%
div-inv73.7%
times-frac99.6%
metadata-eval99.6%
Applied egg-rr99.6%
frac-times73.7%
associate-/l*99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 58.5%
Final simplification58.5%
(FPCore (x) :precision binary64 (/ 1.0 (+ (* x -0.125) (* 1.5 (/ 1.0 x)))))
double code(double x) {
return 1.0 / ((x * -0.125) + (1.5 * (1.0 / x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / ((x * (-0.125d0)) + (1.5d0 * (1.0d0 / x)))
end function
public static double code(double x) {
return 1.0 / ((x * -0.125) + (1.5 * (1.0 / x)));
}
def code(x): return 1.0 / ((x * -0.125) + (1.5 * (1.0 / x)))
function code(x) return Float64(1.0 / Float64(Float64(x * -0.125) + Float64(1.5 * Float64(1.0 / x)))) end
function tmp = code(x) tmp = 1.0 / ((x * -0.125) + (1.5 * (1.0 / x))); end
code[x_] := N[(1.0 / N[(N[(x * -0.125), $MachinePrecision] + N[(1.5 * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x \cdot -0.125 + 1.5 \cdot \frac{1}{x}}
\end{array}
Initial program 73.7%
associate-/l*99.2%
*-commutative99.2%
associate-*l/99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
metadata-eval99.2%
times-frac99.2%
*-commutative99.2%
times-frac99.2%
associate-/l*99.2%
*-commutative99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
associate-*l/99.2%
Simplified99.2%
associate-/r/99.2%
*-commutative99.2%
associate-*l/99.3%
associate-/r/99.2%
associate-*l/73.6%
div-inv73.7%
times-frac99.6%
metadata-eval99.6%
Applied egg-rr99.6%
frac-times73.7%
unpow273.7%
clear-num73.6%
Applied egg-rr73.6%
Taylor expanded in x around 0 54.6%
Final simplification54.6%
(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 73.7%
*-commutative73.7%
remove-double-neg73.7%
sin-neg73.7%
distribute-lft-neg-out73.7%
distribute-rgt-neg-in73.7%
associate-*l/99.2%
*-commutative99.2%
distribute-rgt-neg-in99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
remove-double-neg99.2%
associate-*l*99.2%
Simplified99.2%
Taylor expanded in x around 0 54.0%
Final simplification54.0%
(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 73.7%
*-commutative73.7%
remove-double-neg73.7%
sin-neg73.7%
distribute-lft-neg-out73.7%
distribute-rgt-neg-in73.7%
associate-*l/99.2%
*-commutative99.2%
distribute-rgt-neg-in99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
remove-double-neg99.2%
associate-*l*99.2%
Simplified99.2%
Taylor expanded in x around 0 54.0%
add-cube-cbrt53.0%
pow353.0%
*-commutative53.0%
Applied egg-rr53.0%
rem-cube-cbrt54.0%
metadata-eval54.0%
div-inv54.3%
Applied egg-rr54.3%
Final simplification54.3%
(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 2024020
(FPCore (x)
:name "Graphics.Rasterific.Svg.PathConverter:segmentToBezier from rasterific-svg-0.2.3.1, A"
:precision binary64
:herbie-target
(/ (/ (* 8.0 (sin (* x 0.5))) 3.0) (/ (sin x) (sin (* x 0.5))))
(/ (* (* (/ 8.0 3.0) (sin (* x 0.5))) (sin (* x 0.5))) (sin x)))