
(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 10 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 (* 0.375 (/ (sin x) t_0)))))
double code(double x) {
double t_0 = sin((x * -0.5));
return t_0 / (0.375 * (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 = t_0 / (0.375d0 * (sin(x) / t_0))
end function
public static double code(double x) {
double t_0 = Math.sin((x * -0.5));
return t_0 / (0.375 * (Math.sin(x) / t_0));
}
def code(x): t_0 = math.sin((x * -0.5)) return t_0 / (0.375 * (math.sin(x) / t_0))
function code(x) t_0 = sin(Float64(x * -0.5)) return Float64(t_0 / Float64(0.375 * Float64(sin(x) / t_0))) end
function tmp = code(x) t_0 = sin((x * -0.5)); tmp = t_0 / (0.375 * (sin(x) / t_0)); end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision]}, N[(t$95$0 / N[(0.375 * N[(N[Sin[x], $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot -0.5\right)\\
\frac{t_0}{0.375 \cdot \frac{\sin x}{t_0}}
\end{array}
\end{array}
Initial program 77.7%
associate-/l*99.2%
associate-*r/99.2%
metadata-eval99.2%
associate-/l*77.7%
sqr-neg77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
associate-*r/99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
associate-*r/77.7%
associate-*r/77.7%
sqr-sin-a48.7%
add-sqr-sqrt16.5%
sqrt-unprod27.1%
swap-sqr27.1%
metadata-eval27.1%
metadata-eval27.1%
swap-sqr27.1%
sqrt-unprod16.3%
add-sqr-sqrt48.7%
sqr-sin-a77.7%
associate-*l*77.7%
Applied egg-rr99.6%
Final simplification99.6%
(FPCore (x) :precision binary64 (if (or (<= x -0.01) (not (<= x 0.0001))) (* 2.6666666666666665 (/ (pow (sin (* x 0.5)) 2.0) (sin x))) (/ (sin (* x -0.5)) (+ (* 0.375 (* x (* x 0.25))) -0.75))))
double code(double x) {
double tmp;
if ((x <= -0.01) || !(x <= 0.0001)) {
tmp = 2.6666666666666665 * (pow(sin((x * 0.5)), 2.0) / sin(x));
} else {
tmp = sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if ((x <= (-0.01d0)) .or. (.not. (x <= 0.0001d0))) then
tmp = 2.6666666666666665d0 * ((sin((x * 0.5d0)) ** 2.0d0) / sin(x))
else
tmp = sin((x * (-0.5d0))) / ((0.375d0 * (x * (x * 0.25d0))) + (-0.75d0))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if ((x <= -0.01) || !(x <= 0.0001)) {
tmp = 2.6666666666666665 * (Math.pow(Math.sin((x * 0.5)), 2.0) / Math.sin(x));
} else {
tmp = Math.sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
def code(x): tmp = 0 if (x <= -0.01) or not (x <= 0.0001): tmp = 2.6666666666666665 * (math.pow(math.sin((x * 0.5)), 2.0) / math.sin(x)) else: tmp = math.sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75) return tmp
function code(x) tmp = 0.0 if ((x <= -0.01) || !(x <= 0.0001)) tmp = Float64(2.6666666666666665 * Float64((sin(Float64(x * 0.5)) ^ 2.0) / sin(x))); else tmp = Float64(sin(Float64(x * -0.5)) / Float64(Float64(0.375 * Float64(x * Float64(x * 0.25))) + -0.75)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if ((x <= -0.01) || ~((x <= 0.0001))) tmp = 2.6666666666666665 * ((sin((x * 0.5)) ^ 2.0) / sin(x)); else tmp = sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75); end tmp_2 = tmp; end
code[x_] := If[Or[LessEqual[x, -0.01], N[Not[LessEqual[x, 0.0001]], $MachinePrecision]], N[(2.6666666666666665 * N[(N[Power[N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision], 2.0], $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision] / N[(N[(0.375 * N[(x * N[(x * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.01 \lor \neg \left(x \leq 0.0001\right):\\
\;\;\;\;2.6666666666666665 \cdot \frac{{\sin \left(x \cdot 0.5\right)}^{2}}{\sin x}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sin \left(x \cdot -0.5\right)}{0.375 \cdot \left(x \cdot \left(x \cdot 0.25\right)\right) + -0.75}\\
\end{array}
\end{array}
if x < -0.0100000000000000002 or 1.00000000000000005e-4 < x Initial program 99.0%
Simplified98.8%
Taylor expanded in x around inf 98.9%
*-commutative98.9%
Simplified98.9%
if -0.0100000000000000002 < x < 1.00000000000000005e-4Initial program 59.2%
associate-/l*99.5%
associate-*r/99.5%
metadata-eval99.5%
associate-/l*59.2%
sqr-neg59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
associate-*r/99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
associate-*r/59.2%
associate-*r/59.1%
sqr-sin-a5.7%
add-sqr-sqrt2.8%
sqrt-unprod5.7%
swap-sqr5.7%
metadata-eval5.7%
metadata-eval5.7%
swap-sqr5.7%
sqrt-unprod2.9%
add-sqr-sqrt5.7%
sqr-sin-a59.1%
associate-*l*59.2%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
sub-neg100.0%
*-commutative100.0%
unpow2100.0%
associate-*l*100.0%
*-commutative100.0%
fma-def100.0%
*-commutative100.0%
metadata-eval100.0%
Simplified100.0%
fma-udef100.0%
distribute-rgt-in100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x -0.5))))
(if (or (<= x -0.01) (not (<= x 0.0001)))
(* (pow t_0 2.0) (/ 2.6666666666666665 (sin x)))
(/ t_0 (+ (* 0.375 (* x (* x 0.25))) -0.75)))))
double code(double x) {
double t_0 = sin((x * -0.5));
double tmp;
if ((x <= -0.01) || !(x <= 0.0001)) {
tmp = pow(t_0, 2.0) * (2.6666666666666665 / sin(x));
} else {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = sin((x * (-0.5d0)))
if ((x <= (-0.01d0)) .or. (.not. (x <= 0.0001d0))) then
tmp = (t_0 ** 2.0d0) * (2.6666666666666665d0 / sin(x))
else
tmp = t_0 / ((0.375d0 * (x * (x * 0.25d0))) + (-0.75d0))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.sin((x * -0.5));
double tmp;
if ((x <= -0.01) || !(x <= 0.0001)) {
tmp = Math.pow(t_0, 2.0) * (2.6666666666666665 / Math.sin(x));
} else {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
def code(x): t_0 = math.sin((x * -0.5)) tmp = 0 if (x <= -0.01) or not (x <= 0.0001): tmp = math.pow(t_0, 2.0) * (2.6666666666666665 / math.sin(x)) else: tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75) return tmp
function code(x) t_0 = sin(Float64(x * -0.5)) tmp = 0.0 if ((x <= -0.01) || !(x <= 0.0001)) tmp = Float64((t_0 ^ 2.0) * Float64(2.6666666666666665 / sin(x))); else tmp = Float64(t_0 / Float64(Float64(0.375 * Float64(x * Float64(x * 0.25))) + -0.75)); end return tmp end
function tmp_2 = code(x) t_0 = sin((x * -0.5)); tmp = 0.0; if ((x <= -0.01) || ~((x <= 0.0001))) tmp = (t_0 ^ 2.0) * (2.6666666666666665 / sin(x)); else tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[x, -0.01], N[Not[LessEqual[x, 0.0001]], $MachinePrecision]], N[(N[Power[t$95$0, 2.0], $MachinePrecision] * N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / N[(N[(0.375 * N[(x * N[(x * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot -0.5\right)\\
\mathbf{if}\;x \leq -0.01 \lor \neg \left(x \leq 0.0001\right):\\
\;\;\;\;{t_0}^{2} \cdot \frac{2.6666666666666665}{\sin x}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{0.375 \cdot \left(x \cdot \left(x \cdot 0.25\right)\right) + -0.75}\\
\end{array}
\end{array}
if x < -0.0100000000000000002 or 1.00000000000000005e-4 < x Initial program 99.0%
associate-/l*99.0%
associate-*r/98.9%
metadata-eval98.9%
associate-/l*98.9%
sqr-neg98.9%
sin-neg98.9%
distribute-lft-neg-out98.9%
sin-neg98.9%
distribute-lft-neg-out98.9%
associate-*r/99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
Simplified99.0%
associate-*r/98.9%
associate-*r/99.0%
sqr-sin-a98.1%
add-sqr-sqrt32.3%
sqrt-unprod51.7%
swap-sqr51.7%
metadata-eval51.7%
metadata-eval51.7%
swap-sqr51.7%
sqrt-unprod31.7%
add-sqr-sqrt98.1%
sqr-sin-a99.0%
associate-*l*99.0%
Applied egg-rr99.2%
Taylor expanded in x around inf 98.9%
associate-*r/99.0%
*-commutative99.0%
associate-*l/99.0%
*-commutative99.0%
Simplified99.0%
if -0.0100000000000000002 < x < 1.00000000000000005e-4Initial program 59.2%
associate-/l*99.5%
associate-*r/99.5%
metadata-eval99.5%
associate-/l*59.2%
sqr-neg59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
associate-*r/99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
associate-*r/59.2%
associate-*r/59.1%
sqr-sin-a5.7%
add-sqr-sqrt2.8%
sqrt-unprod5.7%
swap-sqr5.7%
metadata-eval5.7%
metadata-eval5.7%
swap-sqr5.7%
sqrt-unprod2.9%
add-sqr-sqrt5.7%
sqr-sin-a59.1%
associate-*l*59.2%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
sub-neg100.0%
*-commutative100.0%
unpow2100.0%
associate-*l*100.0%
*-commutative100.0%
fma-def100.0%
*-commutative100.0%
metadata-eval100.0%
Simplified100.0%
fma-udef100.0%
distribute-rgt-in100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x -0.5))) (t_1 (pow t_0 2.0)))
(if (<= x -0.01)
(* t_1 (/ 2.6666666666666665 (sin x)))
(if (<= x 0.0001)
(/ t_0 (+ (* 0.375 (* x (* x 0.25))) -0.75))
(/ (* 2.6666666666666665 t_1) (sin x))))))
double code(double x) {
double t_0 = sin((x * -0.5));
double t_1 = pow(t_0, 2.0);
double tmp;
if (x <= -0.01) {
tmp = t_1 * (2.6666666666666665 / sin(x));
} else if (x <= 0.0001) {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
} else {
tmp = (2.6666666666666665 * t_1) / sin(x);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin((x * (-0.5d0)))
t_1 = t_0 ** 2.0d0
if (x <= (-0.01d0)) then
tmp = t_1 * (2.6666666666666665d0 / sin(x))
else if (x <= 0.0001d0) then
tmp = t_0 / ((0.375d0 * (x * (x * 0.25d0))) + (-0.75d0))
else
tmp = (2.6666666666666665d0 * t_1) / sin(x)
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.sin((x * -0.5));
double t_1 = Math.pow(t_0, 2.0);
double tmp;
if (x <= -0.01) {
tmp = t_1 * (2.6666666666666665 / Math.sin(x));
} else if (x <= 0.0001) {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
} else {
tmp = (2.6666666666666665 * t_1) / Math.sin(x);
}
return tmp;
}
def code(x): t_0 = math.sin((x * -0.5)) t_1 = math.pow(t_0, 2.0) tmp = 0 if x <= -0.01: tmp = t_1 * (2.6666666666666665 / math.sin(x)) elif x <= 0.0001: tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75) else: tmp = (2.6666666666666665 * t_1) / math.sin(x) return tmp
function code(x) t_0 = sin(Float64(x * -0.5)) t_1 = t_0 ^ 2.0 tmp = 0.0 if (x <= -0.01) tmp = Float64(t_1 * Float64(2.6666666666666665 / sin(x))); elseif (x <= 0.0001) tmp = Float64(t_0 / Float64(Float64(0.375 * Float64(x * Float64(x * 0.25))) + -0.75)); else tmp = Float64(Float64(2.6666666666666665 * t_1) / sin(x)); end return tmp end
function tmp_2 = code(x) t_0 = sin((x * -0.5)); t_1 = t_0 ^ 2.0; tmp = 0.0; if (x <= -0.01) tmp = t_1 * (2.6666666666666665 / sin(x)); elseif (x <= 0.0001) tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75); else tmp = (2.6666666666666665 * t_1) / sin(x); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 2.0], $MachinePrecision]}, If[LessEqual[x, -0.01], N[(t$95$1 * N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0001], N[(t$95$0 / N[(N[(0.375 * N[(x * N[(x * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision], N[(N[(2.6666666666666665 * t$95$1), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot -0.5\right)\\
t_1 := {t_0}^{2}\\
\mathbf{if}\;x \leq -0.01:\\
\;\;\;\;t_1 \cdot \frac{2.6666666666666665}{\sin x}\\
\mathbf{elif}\;x \leq 0.0001:\\
\;\;\;\;\frac{t_0}{0.375 \cdot \left(x \cdot \left(x \cdot 0.25\right)\right) + -0.75}\\
\mathbf{else}:\\
\;\;\;\;\frac{2.6666666666666665 \cdot t_1}{\sin x}\\
\end{array}
\end{array}
if x < -0.0100000000000000002Initial program 99.0%
associate-/l*99.0%
associate-*r/99.1%
metadata-eval99.1%
associate-/l*99.0%
sqr-neg99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*r/99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
Simplified99.1%
associate-*r/99.0%
associate-*r/99.1%
sqr-sin-a98.4%
add-sqr-sqrt61.9%
sqrt-unprod45.8%
swap-sqr45.8%
metadata-eval45.8%
metadata-eval45.8%
swap-sqr45.8%
sqrt-unprod0.0%
add-sqr-sqrt98.4%
sqr-sin-a99.1%
associate-*l*99.0%
Applied egg-rr99.2%
Taylor expanded in x around inf 99.0%
associate-*r/99.1%
*-commutative99.1%
associate-*l/99.2%
*-commutative99.2%
Simplified99.2%
if -0.0100000000000000002 < x < 1.00000000000000005e-4Initial program 59.2%
associate-/l*99.5%
associate-*r/99.5%
metadata-eval99.5%
associate-/l*59.2%
sqr-neg59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
associate-*r/99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
associate-*r/59.2%
associate-*r/59.1%
sqr-sin-a5.7%
add-sqr-sqrt2.8%
sqrt-unprod5.7%
swap-sqr5.7%
metadata-eval5.7%
metadata-eval5.7%
swap-sqr5.7%
sqrt-unprod2.9%
add-sqr-sqrt5.7%
sqr-sin-a59.1%
associate-*l*59.2%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
sub-neg100.0%
*-commutative100.0%
unpow2100.0%
associate-*l*100.0%
*-commutative100.0%
fma-def100.0%
*-commutative100.0%
metadata-eval100.0%
Simplified100.0%
fma-udef100.0%
distribute-rgt-in100.0%
metadata-eval100.0%
Applied egg-rr100.0%
if 1.00000000000000005e-4 < x Initial program 98.9%
associate-/l*98.9%
associate-*r/98.8%
metadata-eval98.8%
associate-/l*98.8%
sqr-neg98.8%
sin-neg98.8%
distribute-lft-neg-out98.8%
sin-neg98.8%
distribute-lft-neg-out98.8%
associate-*r/98.9%
distribute-lft-neg-out98.9%
distribute-rgt-neg-in98.9%
metadata-eval98.9%
distribute-lft-neg-out98.9%
distribute-rgt-neg-in98.9%
metadata-eval98.9%
Simplified98.9%
associate-*r/98.8%
associate-*r/98.9%
pow298.9%
Applied egg-rr98.9%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x -0.5))) (t_1 (pow t_0 2.0)))
(if (<= x -0.01)
(* t_1 (/ 2.6666666666666665 (sin x)))
(if (<= x 5e-7)
(/ t_0 (+ (* 0.375 (* x (* x 0.25))) -0.75))
(/ t_1 (* 0.375 (sin x)))))))
double code(double x) {
double t_0 = sin((x * -0.5));
double t_1 = pow(t_0, 2.0);
double tmp;
if (x <= -0.01) {
tmp = t_1 * (2.6666666666666665 / sin(x));
} else if (x <= 5e-7) {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
} else {
tmp = t_1 / (0.375 * sin(x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = sin((x * (-0.5d0)))
t_1 = t_0 ** 2.0d0
if (x <= (-0.01d0)) then
tmp = t_1 * (2.6666666666666665d0 / sin(x))
else if (x <= 5d-7) then
tmp = t_0 / ((0.375d0 * (x * (x * 0.25d0))) + (-0.75d0))
else
tmp = t_1 / (0.375d0 * sin(x))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.sin((x * -0.5));
double t_1 = Math.pow(t_0, 2.0);
double tmp;
if (x <= -0.01) {
tmp = t_1 * (2.6666666666666665 / Math.sin(x));
} else if (x <= 5e-7) {
tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75);
} else {
tmp = t_1 / (0.375 * Math.sin(x));
}
return tmp;
}
def code(x): t_0 = math.sin((x * -0.5)) t_1 = math.pow(t_0, 2.0) tmp = 0 if x <= -0.01: tmp = t_1 * (2.6666666666666665 / math.sin(x)) elif x <= 5e-7: tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75) else: tmp = t_1 / (0.375 * math.sin(x)) return tmp
function code(x) t_0 = sin(Float64(x * -0.5)) t_1 = t_0 ^ 2.0 tmp = 0.0 if (x <= -0.01) tmp = Float64(t_1 * Float64(2.6666666666666665 / sin(x))); elseif (x <= 5e-7) tmp = Float64(t_0 / Float64(Float64(0.375 * Float64(x * Float64(x * 0.25))) + -0.75)); else tmp = Float64(t_1 / Float64(0.375 * sin(x))); end return tmp end
function tmp_2 = code(x) t_0 = sin((x * -0.5)); t_1 = t_0 ^ 2.0; tmp = 0.0; if (x <= -0.01) tmp = t_1 * (2.6666666666666665 / sin(x)); elseif (x <= 5e-7) tmp = t_0 / ((0.375 * (x * (x * 0.25))) + -0.75); else tmp = t_1 / (0.375 * sin(x)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Power[t$95$0, 2.0], $MachinePrecision]}, If[LessEqual[x, -0.01], N[(t$95$1 * N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 5e-7], N[(t$95$0 / N[(N[(0.375 * N[(x * N[(x * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision], N[(t$95$1 / N[(0.375 * N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot -0.5\right)\\
t_1 := {t_0}^{2}\\
\mathbf{if}\;x \leq -0.01:\\
\;\;\;\;t_1 \cdot \frac{2.6666666666666665}{\sin x}\\
\mathbf{elif}\;x \leq 5 \cdot 10^{-7}:\\
\;\;\;\;\frac{t_0}{0.375 \cdot \left(x \cdot \left(x \cdot 0.25\right)\right) + -0.75}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{0.375 \cdot \sin x}\\
\end{array}
\end{array}
if x < -0.0100000000000000002Initial program 99.0%
associate-/l*99.0%
associate-*r/99.1%
metadata-eval99.1%
associate-/l*99.0%
sqr-neg99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
associate-*r/99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
Simplified99.1%
associate-*r/99.0%
associate-*r/99.1%
sqr-sin-a98.4%
add-sqr-sqrt61.9%
sqrt-unprod45.8%
swap-sqr45.8%
metadata-eval45.8%
metadata-eval45.8%
swap-sqr45.8%
sqrt-unprod0.0%
add-sqr-sqrt98.4%
sqr-sin-a99.1%
associate-*l*99.0%
Applied egg-rr99.2%
Taylor expanded in x around inf 99.0%
associate-*r/99.1%
*-commutative99.1%
associate-*l/99.2%
*-commutative99.2%
Simplified99.2%
if -0.0100000000000000002 < x < 4.99999999999999977e-7Initial program 59.2%
associate-/l*99.5%
associate-*r/99.5%
metadata-eval99.5%
associate-/l*59.2%
sqr-neg59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
associate-*r/99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
associate-*r/59.2%
associate-*r/59.1%
sqr-sin-a5.7%
add-sqr-sqrt2.8%
sqrt-unprod5.7%
swap-sqr5.7%
metadata-eval5.7%
metadata-eval5.7%
swap-sqr5.7%
sqrt-unprod2.9%
add-sqr-sqrt5.7%
sqr-sin-a59.1%
associate-*l*59.2%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
sub-neg100.0%
*-commutative100.0%
unpow2100.0%
associate-*l*100.0%
*-commutative100.0%
fma-def100.0%
*-commutative100.0%
metadata-eval100.0%
Simplified100.0%
fma-udef100.0%
distribute-rgt-in100.0%
metadata-eval100.0%
Applied egg-rr100.0%
if 4.99999999999999977e-7 < x Initial program 98.9%
associate-/l*98.9%
associate-*r/98.8%
metadata-eval98.8%
associate-/l*98.8%
sqr-neg98.8%
sin-neg98.8%
distribute-lft-neg-out98.8%
sin-neg98.8%
distribute-lft-neg-out98.8%
associate-*r/98.9%
distribute-lft-neg-out98.9%
distribute-rgt-neg-in98.9%
metadata-eval98.9%
distribute-lft-neg-out98.9%
distribute-rgt-neg-in98.9%
metadata-eval98.9%
Simplified98.9%
Applied egg-rr99.1%
Final simplification99.6%
(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 77.7%
associate-/l*99.2%
associate-*r/99.2%
metadata-eval99.2%
associate-/l*77.7%
sqr-neg77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
associate-*r/99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x) :precision binary64 (if (or (<= x -0.0054) (not (<= x 0.005))) (* (/ 2.6666666666666665 (sin x)) (- 0.5 (/ (cos x) 2.0))) (/ (sin (* x -0.5)) (+ (* 0.375 (* x (* x 0.25))) -0.75))))
double code(double x) {
double tmp;
if ((x <= -0.0054) || !(x <= 0.005)) {
tmp = (2.6666666666666665 / sin(x)) * (0.5 - (cos(x) / 2.0));
} else {
tmp = sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if ((x <= (-0.0054d0)) .or. (.not. (x <= 0.005d0))) then
tmp = (2.6666666666666665d0 / sin(x)) * (0.5d0 - (cos(x) / 2.0d0))
else
tmp = sin((x * (-0.5d0))) / ((0.375d0 * (x * (x * 0.25d0))) + (-0.75d0))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if ((x <= -0.0054) || !(x <= 0.005)) {
tmp = (2.6666666666666665 / Math.sin(x)) * (0.5 - (Math.cos(x) / 2.0));
} else {
tmp = Math.sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75);
}
return tmp;
}
def code(x): tmp = 0 if (x <= -0.0054) or not (x <= 0.005): tmp = (2.6666666666666665 / math.sin(x)) * (0.5 - (math.cos(x) / 2.0)) else: tmp = math.sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75) return tmp
function code(x) tmp = 0.0 if ((x <= -0.0054) || !(x <= 0.005)) tmp = Float64(Float64(2.6666666666666665 / sin(x)) * Float64(0.5 - Float64(cos(x) / 2.0))); else tmp = Float64(sin(Float64(x * -0.5)) / Float64(Float64(0.375 * Float64(x * Float64(x * 0.25))) + -0.75)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if ((x <= -0.0054) || ~((x <= 0.005))) tmp = (2.6666666666666665 / sin(x)) * (0.5 - (cos(x) / 2.0)); else tmp = sin((x * -0.5)) / ((0.375 * (x * (x * 0.25))) + -0.75); end tmp_2 = tmp; end
code[x_] := If[Or[LessEqual[x, -0.0054], N[Not[LessEqual[x, 0.005]], $MachinePrecision]], N[(N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision] * N[(0.5 - N[(N[Cos[x], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision] / N[(N[(0.375 * N[(x * N[(x * 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.75), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.0054 \lor \neg \left(x \leq 0.005\right):\\
\;\;\;\;\frac{2.6666666666666665}{\sin x} \cdot \left(0.5 - \frac{\cos x}{2}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\sin \left(x \cdot -0.5\right)}{0.375 \cdot \left(x \cdot \left(x \cdot 0.25\right)\right) + -0.75}\\
\end{array}
\end{array}
if x < -0.0054000000000000003 or 0.0050000000000000001 < x Initial program 99.0%
associate-/l*99.0%
associate-*r/98.9%
metadata-eval98.9%
associate-/l*98.9%
sqr-neg98.9%
sin-neg98.9%
distribute-lft-neg-out98.9%
sin-neg98.9%
distribute-lft-neg-out98.9%
associate-*r/99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
Simplified99.0%
associate-*r/98.9%
associate-*r/99.0%
sqr-sin-a98.1%
add-sqr-sqrt32.3%
sqrt-unprod51.7%
swap-sqr51.7%
metadata-eval51.7%
metadata-eval51.7%
swap-sqr51.7%
sqrt-unprod31.7%
add-sqr-sqrt98.1%
sqr-sin-a99.0%
associate-*l*99.0%
Applied egg-rr99.2%
Taylor expanded in x around inf 98.9%
associate-*r/99.0%
*-commutative99.0%
associate-*l/99.0%
*-commutative99.0%
Simplified99.0%
unpow299.0%
sin-mult98.1%
Applied egg-rr98.1%
div-sub98.1%
+-inverses98.1%
cos-098.1%
metadata-eval98.1%
distribute-lft-out98.1%
metadata-eval98.1%
*-commutative98.1%
neg-mul-198.1%
cos-neg98.1%
Simplified98.1%
if -0.0054000000000000003 < x < 0.0050000000000000001Initial program 59.2%
associate-/l*99.5%
associate-*r/99.5%
metadata-eval99.5%
associate-/l*59.2%
sqr-neg59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
sin-neg59.2%
distribute-lft-neg-out59.2%
associate-*r/99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
distribute-lft-neg-out99.5%
distribute-rgt-neg-in99.5%
metadata-eval99.5%
Simplified99.5%
associate-*r/59.2%
associate-*r/59.1%
sqr-sin-a5.7%
add-sqr-sqrt2.8%
sqrt-unprod5.7%
swap-sqr5.7%
metadata-eval5.7%
metadata-eval5.7%
swap-sqr5.7%
sqrt-unprod2.9%
add-sqr-sqrt5.7%
sqr-sin-a59.1%
associate-*l*59.2%
Applied egg-rr100.0%
Taylor expanded in x around 0 100.0%
sub-neg100.0%
*-commutative100.0%
unpow2100.0%
associate-*l*100.0%
*-commutative100.0%
fma-def100.0%
*-commutative100.0%
metadata-eval100.0%
Simplified100.0%
fma-udef100.0%
distribute-rgt-in100.0%
metadata-eval100.0%
Applied egg-rr100.0%
Final simplification99.1%
(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 77.7%
Simplified99.1%
Taylor expanded in x around 0 58.6%
Final simplification58.6%
(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 77.7%
associate-/l*99.2%
associate-*r/99.2%
metadata-eval99.2%
associate-/l*77.7%
sqr-neg77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
associate-*r/99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
associate-*r/77.7%
associate-*r/77.7%
sqr-sin-a48.7%
add-sqr-sqrt16.5%
sqrt-unprod27.1%
swap-sqr27.1%
metadata-eval27.1%
metadata-eval27.1%
swap-sqr27.1%
sqrt-unprod16.3%
add-sqr-sqrt48.7%
sqr-sin-a77.7%
associate-*l*77.7%
Applied egg-rr99.6%
Taylor expanded in x around 0 58.9%
Final simplification58.9%
(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 77.7%
associate-/l*99.2%
associate-*r/99.2%
metadata-eval99.2%
associate-/l*77.7%
sqr-neg77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
sin-neg77.7%
distribute-lft-neg-out77.7%
associate-*r/99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
Taylor expanded in x around 0 55.0%
Final simplification55.0%
(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 2023271
(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)))