
(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 18 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_1 (pow t_0 2.0)))
(if (<= x -0.002)
(/ (- (/ t_1 0.375)) (- (sin x)))
(if (<= x 1e-7)
(/ t_0 (+ 0.75 (* -0.09375 (* x x))))
(/ 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 <= -0.002) {
tmp = -(t_1 / 0.375) / -sin(x);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= (-0.002d0)) then
tmp = -(t_1 / 0.375d0) / -sin(x)
else if (x <= 1d-7) then
tmp = t_0 / (0.75d0 + ((-0.09375d0) * (x * x)))
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 <= -0.002) {
tmp = -(t_1 / 0.375) / -Math.sin(x);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= -0.002: tmp = -(t_1 / 0.375) / -math.sin(x) elif x <= 1e-7: tmp = t_0 / (0.75 + (-0.09375 * (x * x))) 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 <= -0.002) tmp = Float64(Float64(-Float64(t_1 / 0.375)) / Float64(-sin(x))); elseif (x <= 1e-7) tmp = Float64(t_0 / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); 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 <= -0.002) tmp = -(t_1 / 0.375) / -sin(x); elseif (x <= 1e-7) tmp = t_0 / (0.75 + (-0.09375 * (x * x))); 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, -0.002], N[((-N[(t$95$1 / 0.375), $MachinePrecision]) / (-N[Sin[x], $MachinePrecision])), $MachinePrecision], If[LessEqual[x, 1e-7], N[(t$95$0 / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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 -0.002:\\
\;\;\;\;\frac{-\frac{t_1}{0.375}}{-\sin x}\\
\mathbf{elif}\;x \leq 10^{-7}:\\
\;\;\;\;\frac{t_0}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{0.375 \cdot \sin x}\\
\end{array}
\end{array}
if x < -2e-3Initial program 99.0%
associate-/l*99.0%
*-lft-identity99.0%
metadata-eval99.0%
times-frac99.0%
neg-mul-199.0%
sin-neg99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
neg-mul-199.0%
associate-/r*99.0%
associate-/r/99.1%
Simplified99.1%
*-commutative99.1%
clear-num98.9%
un-div-inv98.9%
Applied egg-rr98.9%
frac-2neg98.9%
div-inv98.9%
div-inv98.9%
distribute-lft-neg-in98.9%
associate-/r*99.0%
metadata-eval99.0%
Applied egg-rr99.0%
distribute-lft-neg-out99.0%
associate-*r/99.0%
*-rgt-identity99.0%
*-commutative99.0%
associate-/r*99.0%
associate-/l*99.1%
unpow299.1%
Simplified99.1%
if -2e-3 < x < 9.9999999999999995e-8Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 9.9999999999999995e-8 < x Initial program 99.2%
associate-/l*99.2%
*-lft-identity99.2%
metadata-eval99.2%
times-frac99.2%
neg-mul-199.2%
sin-neg99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
neg-mul-199.2%
associate-/r*99.2%
associate-/r/99.1%
Simplified99.1%
*-commutative99.1%
associate-*r/99.2%
*-commutative99.2%
associate-*r*99.0%
clear-num99.0%
un-div-inv99.3%
pow299.3%
div-inv99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x 0.5))))
(if (or (<= x -2e-7) (not (<= x 5e-8)))
(* 2.6666666666666665 (/ (pow t_0 2.0) (sin x)))
(/ t_0 0.75))))
double code(double x) {
double t_0 = sin((x * 0.5));
double tmp;
if ((x <= -2e-7) || !(x <= 5e-8)) {
tmp = 2.6666666666666665 * (pow(t_0, 2.0) / sin(x));
} else {
tmp = t_0 / 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 <= (-2d-7)) .or. (.not. (x <= 5d-8))) then
tmp = 2.6666666666666665d0 * ((t_0 ** 2.0d0) / sin(x))
else
tmp = t_0 / 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 <= -2e-7) || !(x <= 5e-8)) {
tmp = 2.6666666666666665 * (Math.pow(t_0, 2.0) / Math.sin(x));
} else {
tmp = t_0 / 0.75;
}
return tmp;
}
def code(x): t_0 = math.sin((x * 0.5)) tmp = 0 if (x <= -2e-7) or not (x <= 5e-8): tmp = 2.6666666666666665 * (math.pow(t_0, 2.0) / math.sin(x)) else: tmp = t_0 / 0.75 return tmp
function code(x) t_0 = sin(Float64(x * 0.5)) tmp = 0.0 if ((x <= -2e-7) || !(x <= 5e-8)) tmp = Float64(2.6666666666666665 * Float64((t_0 ^ 2.0) / sin(x))); else tmp = Float64(t_0 / 0.75); end return tmp end
function tmp_2 = code(x) t_0 = sin((x * 0.5)); tmp = 0.0; if ((x <= -2e-7) || ~((x <= 5e-8))) tmp = 2.6666666666666665 * ((t_0 ^ 2.0) / sin(x)); else tmp = t_0 / 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, -2e-7], N[Not[LessEqual[x, 5e-8]], $MachinePrecision]], N[(2.6666666666666665 * N[(N[Power[t$95$0, 2.0], $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 / 0.75), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
\mathbf{if}\;x \leq -2 \cdot 10^{-7} \lor \neg \left(x \leq 5 \cdot 10^{-8}\right):\\
\;\;\;\;2.6666666666666665 \cdot \frac{{t_0}^{2}}{\sin x}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_0}{0.75}\\
\end{array}
\end{array}
if x < -1.9999999999999999e-7 or 4.9999999999999998e-8 < x Initial program 99.0%
associate-/l*99.1%
*-lft-identity99.1%
metadata-eval99.1%
times-frac99.1%
neg-mul-199.1%
sin-neg99.1%
neg-mul-199.1%
sin-neg99.1%
distribute-lft-neg-out99.1%
distribute-lft-neg-out99.1%
sin-neg99.1%
neg-mul-199.1%
associate-/r*99.1%
associate-/r/99.1%
Simplified99.1%
Taylor expanded in x around inf 99.1%
associate-*r/99.0%
*-commutative99.0%
associate-*r/99.1%
Simplified99.1%
if -1.9999999999999999e-7 < x < 4.9999999999999998e-8Initial program 57.7%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x 0.5))) (t_1 (pow t_0 2.0)))
(if (<= x -0.00028)
(* t_1 (/ 2.6666666666666665 (sin x)))
(if (<= x 1e-7)
(/ t_0 (+ 0.75 (* -0.09375 (* x x))))
(* 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 <= -0.00028) {
tmp = t_1 * (2.6666666666666665 / sin(x));
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= (-0.00028d0)) then
tmp = t_1 * (2.6666666666666665d0 / sin(x))
else if (x <= 1d-7) then
tmp = t_0 / (0.75d0 + ((-0.09375d0) * (x * x)))
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 <= -0.00028) {
tmp = t_1 * (2.6666666666666665 / Math.sin(x));
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= -0.00028: tmp = t_1 * (2.6666666666666665 / math.sin(x)) elif x <= 1e-7: tmp = t_0 / (0.75 + (-0.09375 * (x * x))) 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 <= -0.00028) tmp = Float64(t_1 * Float64(2.6666666666666665 / sin(x))); elseif (x <= 1e-7) tmp = Float64(t_0 / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); else tmp = Float64(2.6666666666666665 * Float64(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 <= -0.00028) tmp = t_1 * (2.6666666666666665 / sin(x)); elseif (x <= 1e-7) tmp = t_0 / (0.75 + (-0.09375 * (x * x))); 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, -0.00028], N[(t$95$1 * N[(2.6666666666666665 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-7], N[(t$95$0 / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.6666666666666665 * N[(t$95$1 / 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 -0.00028:\\
\;\;\;\;t_1 \cdot \frac{2.6666666666666665}{\sin x}\\
\mathbf{elif}\;x \leq 10^{-7}:\\
\;\;\;\;\frac{t_0}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;2.6666666666666665 \cdot \frac{t_1}{\sin x}\\
\end{array}
\end{array}
if x < -2.7999999999999998e-4Initial program 99.0%
associate-/l*99.0%
*-lft-identity99.0%
metadata-eval99.0%
times-frac99.0%
neg-mul-199.0%
sin-neg99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
neg-mul-199.0%
associate-/r*99.0%
associate-/r/99.1%
Simplified99.1%
Taylor expanded in x around inf 99.0%
associate-*r/99.0%
*-commutative99.0%
associate-*l/99.1%
*-commutative99.1%
Simplified99.1%
if -2.7999999999999998e-4 < x < 9.9999999999999995e-8Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 9.9999999999999995e-8 < x Initial program 99.2%
associate-/l*99.2%
*-lft-identity99.2%
metadata-eval99.2%
times-frac99.2%
neg-mul-199.2%
sin-neg99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
neg-mul-199.2%
associate-/r*99.2%
associate-/r/99.1%
Simplified99.1%
Taylor expanded in x around inf 99.2%
associate-*r/99.1%
*-commutative99.1%
associate-*r/99.2%
Simplified99.2%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x 0.5))) (t_1 (pow t_0 2.0)))
(if (<= x -0.0003)
(/ 2.6666666666666665 (/ (sin x) t_1))
(if (<= x 1e-7)
(/ t_0 (+ 0.75 (* -0.09375 (* x x))))
(* 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 <= -0.0003) {
tmp = 2.6666666666666665 / (sin(x) / t_1);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= (-0.0003d0)) then
tmp = 2.6666666666666665d0 / (sin(x) / t_1)
else if (x <= 1d-7) then
tmp = t_0 / (0.75d0 + ((-0.09375d0) * (x * x)))
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 <= -0.0003) {
tmp = 2.6666666666666665 / (Math.sin(x) / t_1);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= -0.0003: tmp = 2.6666666666666665 / (math.sin(x) / t_1) elif x <= 1e-7: tmp = t_0 / (0.75 + (-0.09375 * (x * x))) 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 <= -0.0003) tmp = Float64(2.6666666666666665 / Float64(sin(x) / t_1)); elseif (x <= 1e-7) tmp = Float64(t_0 / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); else tmp = Float64(2.6666666666666665 * Float64(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 <= -0.0003) tmp = 2.6666666666666665 / (sin(x) / t_1); elseif (x <= 1e-7) tmp = t_0 / (0.75 + (-0.09375 * (x * x))); 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, -0.0003], N[(2.6666666666666665 / N[(N[Sin[x], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-7], N[(t$95$0 / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.6666666666666665 * N[(t$95$1 / 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 -0.0003:\\
\;\;\;\;\frac{2.6666666666666665}{\frac{\sin x}{t_1}}\\
\mathbf{elif}\;x \leq 10^{-7}:\\
\;\;\;\;\frac{t_0}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;2.6666666666666665 \cdot \frac{t_1}{\sin x}\\
\end{array}
\end{array}
if x < -2.99999999999999974e-4Initial program 99.0%
associate-/l*99.0%
*-lft-identity99.0%
metadata-eval99.0%
times-frac99.0%
neg-mul-199.0%
sin-neg99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
neg-mul-199.0%
associate-/r*99.0%
associate-/r/99.1%
Simplified99.1%
Applied egg-rr99.1%
if -2.99999999999999974e-4 < x < 9.9999999999999995e-8Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 9.9999999999999995e-8 < x Initial program 99.2%
associate-/l*99.2%
*-lft-identity99.2%
metadata-eval99.2%
times-frac99.2%
neg-mul-199.2%
sin-neg99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
neg-mul-199.2%
associate-/r*99.2%
associate-/r/99.1%
Simplified99.1%
Taylor expanded in x around inf 99.2%
associate-*r/99.1%
*-commutative99.1%
associate-*r/99.2%
Simplified99.2%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (sin (* x 0.5))) (t_1 (pow t_0 2.0)))
(if (<= x -0.0003)
(/ 2.6666666666666665 (/ (sin x) t_1))
(if (<= x 1e-7)
(/ t_0 (+ 0.75 (* -0.09375 (* x x))))
(/ 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 <= -0.0003) {
tmp = 2.6666666666666665 / (sin(x) / t_1);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= (-0.0003d0)) then
tmp = 2.6666666666666665d0 / (sin(x) / t_1)
else if (x <= 1d-7) then
tmp = t_0 / (0.75d0 + ((-0.09375d0) * (x * x)))
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 <= -0.0003) {
tmp = 2.6666666666666665 / (Math.sin(x) / t_1);
} else if (x <= 1e-7) {
tmp = t_0 / (0.75 + (-0.09375 * (x * x)));
} 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 <= -0.0003: tmp = 2.6666666666666665 / (math.sin(x) / t_1) elif x <= 1e-7: tmp = t_0 / (0.75 + (-0.09375 * (x * x))) 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 <= -0.0003) tmp = Float64(2.6666666666666665 / Float64(sin(x) / t_1)); elseif (x <= 1e-7) tmp = Float64(t_0 / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); 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 <= -0.0003) tmp = 2.6666666666666665 / (sin(x) / t_1); elseif (x <= 1e-7) tmp = t_0 / (0.75 + (-0.09375 * (x * x))); 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, -0.0003], N[(2.6666666666666665 / N[(N[Sin[x], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e-7], N[(t$95$0 / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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 -0.0003:\\
\;\;\;\;\frac{2.6666666666666665}{\frac{\sin x}{t_1}}\\
\mathbf{elif}\;x \leq 10^{-7}:\\
\;\;\;\;\frac{t_0}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{t_1}{0.375 \cdot \sin x}\\
\end{array}
\end{array}
if x < -2.99999999999999974e-4Initial program 99.0%
associate-/l*99.0%
*-lft-identity99.0%
metadata-eval99.0%
times-frac99.0%
neg-mul-199.0%
sin-neg99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
sin-neg99.0%
neg-mul-199.0%
associate-/r*99.0%
associate-/r/99.1%
Simplified99.1%
Applied egg-rr99.1%
if -2.99999999999999974e-4 < x < 9.9999999999999995e-8Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 9.9999999999999995e-8 < x Initial program 99.2%
associate-/l*99.2%
*-lft-identity99.2%
metadata-eval99.2%
times-frac99.2%
neg-mul-199.2%
sin-neg99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
neg-mul-199.2%
associate-/r*99.2%
associate-/r/99.1%
Simplified99.1%
*-commutative99.1%
associate-*r/99.2%
*-commutative99.2%
associate-*r*99.0%
clear-num99.0%
un-div-inv99.3%
pow299.3%
div-inv99.4%
metadata-eval99.4%
Applied egg-rr99.4%
Final simplification99.6%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
*-commutative99.3%
clear-num99.1%
un-div-inv99.2%
Applied egg-rr99.2%
*-un-lft-identity99.2%
times-frac99.5%
metadata-eval99.5%
Applied egg-rr99.5%
Final simplification99.5%
(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 79.3%
associate-/l*99.3%
associate-*r/99.3%
metadata-eval99.3%
associate-/l*79.3%
sqr-neg79.3%
sin-neg79.3%
distribute-lft-neg-out79.3%
sin-neg79.3%
distribute-lft-neg-out79.3%
associate-*r/99.2%
distribute-lft-neg-out99.2%
distribute-rgt-neg-in99.2%
metadata-eval99.2%
distribute-lft-neg-out99.2%
distribute-rgt-neg-in99.2%
metadata-eval99.2%
Simplified99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (let* ((t_0 (sin (* x -0.5)))) (* 2.6666666666666665 (/ t_0 (/ (sin x) t_0)))))
double code(double x) {
double t_0 = sin((x * -0.5));
return 2.6666666666666665 * (t_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 = 2.6666666666666665d0 * (t_0 / (sin(x) / t_0))
end function
public static double code(double x) {
double t_0 = Math.sin((x * -0.5));
return 2.6666666666666665 * (t_0 / (Math.sin(x) / t_0));
}
def code(x): t_0 = math.sin((x * -0.5)) return 2.6666666666666665 * (t_0 / (math.sin(x) / t_0))
function code(x) t_0 = sin(Float64(x * -0.5)) return Float64(2.6666666666666665 * Float64(t_0 / Float64(sin(x) / t_0))) end
function tmp = code(x) t_0 = sin((x * -0.5)); tmp = 2.6666666666666665 * (t_0 / (sin(x) / t_0)); end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * -0.5), $MachinePrecision]], $MachinePrecision]}, N[(2.6666666666666665 * N[(t$95$0 / 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)\\
2.6666666666666665 \cdot \frac{t_0}{\frac{\sin x}{t_0}}
\end{array}
\end{array}
Initial program 79.3%
associate-/l*99.3%
associate-*r/99.3%
metadata-eval99.3%
remove-double-neg99.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
neg-mul-199.3%
*-commutative99.3%
associate-/l*99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
associate-/l/99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
distribute-rgt-neg-in99.3%
metadata-eval99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x) :precision binary64 (let* ((t_0 (sin (* x 0.5)))) (* t_0 (/ (* t_0 2.6666666666666665) (sin x)))))
double code(double x) {
double t_0 = sin((x * 0.5));
return t_0 * ((t_0 * 2.6666666666666665) / sin(x));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = sin((x * 0.5d0))
code = t_0 * ((t_0 * 2.6666666666666665d0) / sin(x))
end function
public static double code(double x) {
double t_0 = Math.sin((x * 0.5));
return t_0 * ((t_0 * 2.6666666666666665) / Math.sin(x));
}
def code(x): t_0 = math.sin((x * 0.5)) return t_0 * ((t_0 * 2.6666666666666665) / math.sin(x))
function code(x) t_0 = sin(Float64(x * 0.5)) return Float64(t_0 * Float64(Float64(t_0 * 2.6666666666666665) / sin(x))) end
function tmp = code(x) t_0 = sin((x * 0.5)); tmp = t_0 * ((t_0 * 2.6666666666666665) / sin(x)); end
code[x_] := Block[{t$95$0 = N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision]}, N[(t$95$0 * N[(N[(t$95$0 * 2.6666666666666665), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(x \cdot 0.5\right)\\
t_0 \cdot \frac{t_0 \cdot 2.6666666666666665}{\sin x}
\end{array}
\end{array}
Initial program 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
Final simplification99.3%
(FPCore (x)
:precision binary64
(if (<= x -0.0056)
(* 2.6666666666666665 (/ (- 0.5 (* 0.5 (cos x))) (sin x)))
(if (<= x 0.0054)
(/ (sin (* x 0.5)) (+ 0.75 (* -0.09375 (* x x))))
(* 2.6666666666666665 (* (- 0.5 (/ (cos x) 2.0)) (/ 1.0 (sin x)))))))
double code(double x) {
double tmp;
if (x <= -0.0056) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x));
} else if (x <= 0.0054) {
tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
} else {
tmp = 2.6666666666666665 * ((0.5 - (cos(x) / 2.0)) * (1.0 / sin(x)));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= (-0.0056d0)) then
tmp = 2.6666666666666665d0 * ((0.5d0 - (0.5d0 * cos(x))) / sin(x))
else if (x <= 0.0054d0) then
tmp = sin((x * 0.5d0)) / (0.75d0 + ((-0.09375d0) * (x * x)))
else
tmp = 2.6666666666666665d0 * ((0.5d0 - (cos(x) / 2.0d0)) * (1.0d0 / sin(x)))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= -0.0056) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * Math.cos(x))) / Math.sin(x));
} else if (x <= 0.0054) {
tmp = Math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
} else {
tmp = 2.6666666666666665 * ((0.5 - (Math.cos(x) / 2.0)) * (1.0 / Math.sin(x)));
}
return tmp;
}
def code(x): tmp = 0 if x <= -0.0056: tmp = 2.6666666666666665 * ((0.5 - (0.5 * math.cos(x))) / math.sin(x)) elif x <= 0.0054: tmp = math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))) else: tmp = 2.6666666666666665 * ((0.5 - (math.cos(x) / 2.0)) * (1.0 / math.sin(x))) return tmp
function code(x) tmp = 0.0 if (x <= -0.0056) tmp = Float64(2.6666666666666665 * Float64(Float64(0.5 - Float64(0.5 * cos(x))) / sin(x))); elseif (x <= 0.0054) tmp = Float64(sin(Float64(x * 0.5)) / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); else tmp = Float64(2.6666666666666665 * Float64(Float64(0.5 - Float64(cos(x) / 2.0)) * Float64(1.0 / sin(x)))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= -0.0056) tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x)); elseif (x <= 0.0054) tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))); else tmp = 2.6666666666666665 * ((0.5 - (cos(x) / 2.0)) * (1.0 / sin(x))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -0.0056], N[(2.6666666666666665 * N[(N[(0.5 - N[(0.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0054], N[(N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.6666666666666665 * N[(N[(0.5 - N[(N[Cos[x], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.0056:\\
\;\;\;\;2.6666666666666665 \cdot \frac{0.5 - 0.5 \cdot \cos x}{\sin x}\\
\mathbf{elif}\;x \leq 0.0054:\\
\;\;\;\;\frac{\sin \left(x \cdot 0.5\right)}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;2.6666666666666665 \cdot \left(\left(0.5 - \frac{\cos x}{2}\right) \cdot \frac{1}{\sin x}\right)\\
\end{array}
\end{array}
if x < -0.00559999999999999994Initial program 99.0%
associate-/l*99.0%
associate-*r/99.0%
metadata-eval99.0%
remove-double-neg99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
neg-mul-199.0%
*-commutative99.0%
associate-/l*99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
associate-/l/99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
Simplified99.0%
associate-/l*99.0%
div-inv98.9%
sqr-sin-a98.0%
add-sqr-sqrt58.9%
sqrt-unprod52.3%
swap-sqr52.3%
metadata-eval52.3%
metadata-eval52.3%
swap-sqr52.3%
sqrt-unprod0.0%
add-sqr-sqrt98.0%
sqr-sin-a98.9%
pow298.9%
Applied egg-rr98.9%
unpow298.9%
sin-mult98.0%
Applied egg-rr98.0%
div-sub98.0%
+-inverses98.0%
cos-098.0%
metadata-eval98.0%
distribute-lft-out98.0%
metadata-eval98.0%
*-rgt-identity98.0%
Simplified98.0%
un-div-inv98.2%
div-inv98.2%
metadata-eval98.2%
Applied egg-rr98.2%
if -0.00559999999999999994 < x < 0.0054000000000000003Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 0.0054000000000000003 < x Initial program 99.2%
associate-/l*99.2%
associate-*r/99.1%
metadata-eval99.1%
remove-double-neg99.1%
sin-neg99.1%
distribute-lft-neg-out99.1%
neg-mul-199.1%
*-commutative99.1%
associate-/l*99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
associate-/l/99.1%
neg-mul-199.1%
sin-neg99.1%
distribute-lft-neg-out99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
Simplified99.1%
associate-/l*99.2%
div-inv99.1%
sqr-sin-a98.2%
add-sqr-sqrt0.0%
sqrt-unprod50.6%
swap-sqr50.6%
metadata-eval50.6%
metadata-eval50.6%
swap-sqr50.6%
sqrt-unprod57.5%
add-sqr-sqrt98.2%
sqr-sin-a99.1%
pow299.1%
Applied egg-rr99.1%
unpow299.1%
sin-mult98.2%
Applied egg-rr98.2%
div-sub98.2%
+-inverses98.2%
cos-098.2%
metadata-eval98.2%
distribute-lft-out98.2%
metadata-eval98.2%
*-rgt-identity98.2%
Simplified98.2%
Final simplification99.1%
(FPCore (x)
:precision binary64
(if (<= x -0.0056)
(* 2.6666666666666665 (/ (- 0.5 (* 0.5 (cos x))) (sin x)))
(if (<= x 0.0054)
(/ (sin (* x 0.5)) (+ 0.75 (* -0.09375 (* x x))))
(/ 1.0 (/ (sin x) (* 2.6666666666666665 (- 0.5 (/ (cos x) 2.0))))))))
double code(double x) {
double tmp;
if (x <= -0.0056) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x));
} else if (x <= 0.0054) {
tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
} else {
tmp = 1.0 / (sin(x) / (2.6666666666666665 * (0.5 - (cos(x) / 2.0))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= (-0.0056d0)) then
tmp = 2.6666666666666665d0 * ((0.5d0 - (0.5d0 * cos(x))) / sin(x))
else if (x <= 0.0054d0) then
tmp = sin((x * 0.5d0)) / (0.75d0 + ((-0.09375d0) * (x * x)))
else
tmp = 1.0d0 / (sin(x) / (2.6666666666666665d0 * (0.5d0 - (cos(x) / 2.0d0))))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= -0.0056) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * Math.cos(x))) / Math.sin(x));
} else if (x <= 0.0054) {
tmp = Math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
} else {
tmp = 1.0 / (Math.sin(x) / (2.6666666666666665 * (0.5 - (Math.cos(x) / 2.0))));
}
return tmp;
}
def code(x): tmp = 0 if x <= -0.0056: tmp = 2.6666666666666665 * ((0.5 - (0.5 * math.cos(x))) / math.sin(x)) elif x <= 0.0054: tmp = math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))) else: tmp = 1.0 / (math.sin(x) / (2.6666666666666665 * (0.5 - (math.cos(x) / 2.0)))) return tmp
function code(x) tmp = 0.0 if (x <= -0.0056) tmp = Float64(2.6666666666666665 * Float64(Float64(0.5 - Float64(0.5 * cos(x))) / sin(x))); elseif (x <= 0.0054) tmp = Float64(sin(Float64(x * 0.5)) / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); else tmp = Float64(1.0 / Float64(sin(x) / Float64(2.6666666666666665 * Float64(0.5 - Float64(cos(x) / 2.0))))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= -0.0056) tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x)); elseif (x <= 0.0054) tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))); else tmp = 1.0 / (sin(x) / (2.6666666666666665 * (0.5 - (cos(x) / 2.0)))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -0.0056], N[(2.6666666666666665 * N[(N[(0.5 - N[(0.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.0054], N[(N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 / N[(N[Sin[x], $MachinePrecision] / N[(2.6666666666666665 * N[(0.5 - N[(N[Cos[x], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.0056:\\
\;\;\;\;2.6666666666666665 \cdot \frac{0.5 - 0.5 \cdot \cos x}{\sin x}\\
\mathbf{elif}\;x \leq 0.0054:\\
\;\;\;\;\frac{\sin \left(x \cdot 0.5\right)}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{\frac{\sin x}{2.6666666666666665 \cdot \left(0.5 - \frac{\cos x}{2}\right)}}\\
\end{array}
\end{array}
if x < -0.00559999999999999994Initial program 99.0%
associate-/l*99.0%
associate-*r/99.0%
metadata-eval99.0%
remove-double-neg99.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
neg-mul-199.0%
*-commutative99.0%
associate-/l*99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
associate-/l/99.0%
neg-mul-199.0%
sin-neg99.0%
distribute-lft-neg-out99.0%
distribute-lft-neg-out99.0%
distribute-rgt-neg-in99.0%
metadata-eval99.0%
Simplified99.0%
associate-/l*99.0%
div-inv98.9%
sqr-sin-a98.0%
add-sqr-sqrt58.9%
sqrt-unprod52.3%
swap-sqr52.3%
metadata-eval52.3%
metadata-eval52.3%
swap-sqr52.3%
sqrt-unprod0.0%
add-sqr-sqrt98.0%
sqr-sin-a98.9%
pow298.9%
Applied egg-rr98.9%
unpow298.9%
sin-mult98.0%
Applied egg-rr98.0%
div-sub98.0%
+-inverses98.0%
cos-098.0%
metadata-eval98.0%
distribute-lft-out98.0%
metadata-eval98.0%
*-rgt-identity98.0%
Simplified98.0%
un-div-inv98.2%
div-inv98.2%
metadata-eval98.2%
Applied egg-rr98.2%
if -0.00559999999999999994 < x < 0.0054000000000000003Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
if 0.0054000000000000003 < x Initial program 99.2%
associate-/l*99.2%
*-lft-identity99.2%
metadata-eval99.2%
times-frac99.2%
neg-mul-199.2%
sin-neg99.2%
neg-mul-199.2%
sin-neg99.2%
distribute-lft-neg-out99.2%
distribute-lft-neg-out99.2%
sin-neg99.2%
neg-mul-199.2%
associate-/r*99.2%
associate-/r/99.1%
Simplified99.1%
associate-*l/99.2%
clear-num99.0%
associate-*l*99.1%
pow299.1%
Applied egg-rr99.1%
unpow299.1%
sin-mult98.2%
Applied egg-rr98.2%
div-sub98.2%
+-inverses98.2%
cos-098.2%
metadata-eval98.2%
distribute-lft-out98.2%
metadata-eval98.2%
*-rgt-identity98.2%
Simplified98.2%
Final simplification99.1%
(FPCore (x) :precision binary64 (if (or (<= x -0.0056) (not (<= x 0.0054))) (* 2.6666666666666665 (/ (- 0.5 (* 0.5 (cos x))) (sin x))) (/ (sin (* x 0.5)) (+ 0.75 (* -0.09375 (* x x))))))
double code(double x) {
double tmp;
if ((x <= -0.0056) || !(x <= 0.0054)) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x));
} else {
tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if ((x <= (-0.0056d0)) .or. (.not. (x <= 0.0054d0))) then
tmp = 2.6666666666666665d0 * ((0.5d0 - (0.5d0 * cos(x))) / sin(x))
else
tmp = sin((x * 0.5d0)) / (0.75d0 + ((-0.09375d0) * (x * x)))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if ((x <= -0.0056) || !(x <= 0.0054)) {
tmp = 2.6666666666666665 * ((0.5 - (0.5 * Math.cos(x))) / Math.sin(x));
} else {
tmp = Math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x)));
}
return tmp;
}
def code(x): tmp = 0 if (x <= -0.0056) or not (x <= 0.0054): tmp = 2.6666666666666665 * ((0.5 - (0.5 * math.cos(x))) / math.sin(x)) else: tmp = math.sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))) return tmp
function code(x) tmp = 0.0 if ((x <= -0.0056) || !(x <= 0.0054)) tmp = Float64(2.6666666666666665 * Float64(Float64(0.5 - Float64(0.5 * cos(x))) / sin(x))); else tmp = Float64(sin(Float64(x * 0.5)) / Float64(0.75 + Float64(-0.09375 * Float64(x * x)))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if ((x <= -0.0056) || ~((x <= 0.0054))) tmp = 2.6666666666666665 * ((0.5 - (0.5 * cos(x))) / sin(x)); else tmp = sin((x * 0.5)) / (0.75 + (-0.09375 * (x * x))); end tmp_2 = tmp; end
code[x_] := If[Or[LessEqual[x, -0.0056], N[Not[LessEqual[x, 0.0054]], $MachinePrecision]], N[(2.6666666666666665 * N[(N[(0.5 - N[(0.5 * N[Cos[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sin[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sin[N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / N[(0.75 + N[(-0.09375 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -0.0056 \lor \neg \left(x \leq 0.0054\right):\\
\;\;\;\;2.6666666666666665 \cdot \frac{0.5 - 0.5 \cdot \cos x}{\sin x}\\
\mathbf{else}:\\
\;\;\;\;\frac{\sin \left(x \cdot 0.5\right)}{0.75 + -0.09375 \cdot \left(x \cdot x\right)}\\
\end{array}
\end{array}
if x < -0.00559999999999999994 or 0.0054000000000000003 < x Initial program 99.1%
associate-/l*99.1%
associate-*r/99.1%
metadata-eval99.1%
remove-double-neg99.1%
sin-neg99.1%
distribute-lft-neg-out99.1%
neg-mul-199.1%
*-commutative99.1%
associate-/l*99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
associate-/l/99.1%
neg-mul-199.1%
sin-neg99.1%
distribute-lft-neg-out99.1%
distribute-lft-neg-out99.1%
distribute-rgt-neg-in99.1%
metadata-eval99.1%
Simplified99.1%
associate-/l*99.1%
div-inv99.0%
sqr-sin-a98.1%
add-sqr-sqrt32.4%
sqrt-unprod51.6%
swap-sqr51.6%
metadata-eval51.6%
metadata-eval51.6%
swap-sqr51.6%
sqrt-unprod25.9%
add-sqr-sqrt98.1%
sqr-sin-a99.0%
pow299.0%
Applied egg-rr99.0%
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%
*-rgt-identity98.1%
Simplified98.1%
un-div-inv98.2%
div-inv98.2%
metadata-eval98.2%
Applied egg-rr98.2%
if -0.00559999999999999994 < x < 0.0054000000000000003Initial program 59.3%
associate-/l*99.5%
*-lft-identity99.5%
metadata-eval99.5%
times-frac99.5%
neg-mul-199.5%
sin-neg99.5%
neg-mul-199.5%
sin-neg99.5%
distribute-lft-neg-out99.5%
distribute-lft-neg-out99.5%
sin-neg99.5%
neg-mul-199.5%
associate-/r*99.5%
associate-/r/99.5%
Simplified99.5%
*-commutative99.5%
clear-num99.2%
un-div-inv99.4%
Applied egg-rr99.4%
Taylor expanded in x around 0 100.0%
unpow2100.0%
Simplified100.0%
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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
Taylor expanded in x around 0 55.6%
Final simplification55.6%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
*-commutative99.3%
clear-num99.1%
un-div-inv99.2%
Applied egg-rr99.2%
Taylor expanded in x around 0 55.9%
Final simplification55.9%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
associate-*l/79.3%
clear-num79.2%
associate-*l*79.3%
pow279.3%
Applied egg-rr79.3%
Taylor expanded in x around 0 51.2%
Final simplification51.2%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
associate-*l/79.3%
clear-num79.2%
associate-*l*79.3%
pow279.3%
Applied egg-rr79.3%
Taylor expanded in x around 0 51.2%
Final simplification51.2%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
Taylor expanded in x around 0 51.1%
*-commutative51.1%
Simplified51.1%
add-sqr-sqrt25.9%
sqrt-unprod18.3%
*-commutative18.3%
*-commutative18.3%
swap-sqr18.3%
metadata-eval18.3%
Applied egg-rr18.3%
unpow218.3%
*-commutative18.3%
unpow218.3%
Simplified18.3%
Taylor expanded in x around -inf 3.2%
*-commutative3.2%
Simplified3.2%
Final simplification3.2%
(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 79.3%
associate-/l*99.3%
*-lft-identity99.3%
metadata-eval99.3%
times-frac99.3%
neg-mul-199.3%
sin-neg99.3%
neg-mul-199.3%
sin-neg99.3%
distribute-lft-neg-out99.3%
distribute-lft-neg-out99.3%
sin-neg99.3%
neg-mul-199.3%
associate-/r*99.3%
associate-/r/99.3%
Simplified99.3%
Taylor expanded in x around 0 51.1%
*-commutative51.1%
Simplified51.1%
Final simplification51.1%
(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 2023275
(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)))