
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 8e-118)
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))
(/
2.0
(pow
(*
(* (/ t_m (cbrt l)) (cbrt (/ 1.0 l)))
(* (cbrt (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))) (cbrt (sin k))))
3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 8e-118) {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
} else {
tmp = 2.0 / pow((((t_m / cbrt(l)) * cbrt((1.0 / l))) * (cbrt((tan(k) * (2.0 + pow((k / t_m), 2.0)))) * cbrt(sin(k)))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 8e-118) {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / Math.pow((((t_m / Math.cbrt(l)) * Math.cbrt((1.0 / l))) * (Math.cbrt((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))) * Math.cbrt(Math.sin(k)))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 8e-118) tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(1.0 / l))) * Float64(cbrt(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) * cbrt(sin(k)))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 8e-118], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 8 \cdot 10^{-118}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\right) \cdot \left(\sqrt[3]{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)} \cdot \sqrt[3]{\sin k}\right)\right)}^{3}}\\
\end{array}
\end{array}
if t < 7.99999999999999988e-118Initial program 48.3%
Simplified47.8%
associate-*r*53.7%
*-un-lft-identity53.7%
times-frac52.0%
associate-/l/52.0%
Applied egg-rr52.0%
/-rgt-identity52.0%
associate-*r/53.7%
associate-*l/54.4%
associate-*l*49.6%
Simplified49.6%
add-cube-cbrt49.5%
pow349.5%
associate-/l*47.8%
associate-/l*47.8%
Applied egg-rr47.8%
Taylor expanded in t around 0 64.7%
associate-/l*64.7%
rem-cube-cbrt64.9%
associate-*r*64.9%
Simplified64.9%
if 7.99999999999999988e-118 < t Initial program 62.1%
Simplified62.1%
associate-*l*59.5%
associate-/r*66.2%
associate-+r+66.2%
metadata-eval66.2%
associate-*l*66.2%
add-cube-cbrt66.0%
pow366.0%
Applied egg-rr83.0%
*-commutative83.0%
cbrt-prod91.6%
Applied egg-rr91.6%
add-cbrt-cube72.6%
unpow372.6%
unpow272.6%
cbrt-prod62.9%
unpow262.9%
cbrt-div61.9%
unpow261.9%
associate-/l/68.5%
div-inv68.5%
cbrt-prod70.6%
cbrt-div72.7%
unpow372.7%
add-cbrt-cube91.8%
Applied egg-rr91.8%
Final simplification73.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 7.4e-118)
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))
(/
2.0
(pow
(*
(* (cbrt (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))) (cbrt (sin k)))
(/ t_m (pow (cbrt l) 2.0)))
3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 7.4e-118) {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
} else {
tmp = 2.0 / pow(((cbrt((tan(k) * (2.0 + pow((k / t_m), 2.0)))) * cbrt(sin(k))) * (t_m / pow(cbrt(l), 2.0))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 7.4e-118) {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / Math.pow(((Math.cbrt((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))) * Math.cbrt(Math.sin(k))) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 7.4e-118) tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(cbrt(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) * cbrt(sin(k))) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 7.4e-118], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[Power[N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.4 \cdot 10^{-118}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\sqrt[3]{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)} \cdot \sqrt[3]{\sin k}\right) \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 7.40000000000000029e-118Initial program 48.3%
Simplified47.8%
associate-*r*53.7%
*-un-lft-identity53.7%
times-frac52.0%
associate-/l/52.0%
Applied egg-rr52.0%
/-rgt-identity52.0%
associate-*r/53.7%
associate-*l/54.4%
associate-*l*49.6%
Simplified49.6%
add-cube-cbrt49.5%
pow349.5%
associate-/l*47.8%
associate-/l*47.8%
Applied egg-rr47.8%
Taylor expanded in t around 0 64.7%
associate-/l*64.7%
rem-cube-cbrt64.9%
associate-*r*64.9%
Simplified64.9%
if 7.40000000000000029e-118 < t Initial program 62.1%
Simplified62.1%
associate-*l*59.5%
associate-/r*66.2%
associate-+r+66.2%
metadata-eval66.2%
associate-*l*66.2%
add-cube-cbrt66.0%
pow366.0%
Applied egg-rr83.0%
*-commutative83.0%
cbrt-prod91.6%
Applied egg-rr91.6%
Final simplification73.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (* (/ t_m (cbrt l)) (cbrt (/ 1.0 l)))))
(*
t_s
(if (<= k 0.000192)
(/ 2.0 (pow (* t_2 (* (cbrt (sin k)) (cbrt (* 2.0 k)))) 3.0))
(if (<= k 3.5e+141)
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))
(/
2.0
(pow
(* t_2 (cbrt (* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))))
3.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = (t_m / cbrt(l)) * cbrt((1.0 / l));
double tmp;
if (k <= 0.000192) {
tmp = 2.0 / pow((t_2 * (cbrt(sin(k)) * cbrt((2.0 * k)))), 3.0);
} else if (k <= 3.5e+141) {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
} else {
tmp = 2.0 / pow((t_2 * cbrt((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = (t_m / Math.cbrt(l)) * Math.cbrt((1.0 / l));
double tmp;
if (k <= 0.000192) {
tmp = 2.0 / Math.pow((t_2 * (Math.cbrt(Math.sin(k)) * Math.cbrt((2.0 * k)))), 3.0);
} else if (k <= 3.5e+141) {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / Math.pow((t_2 * Math.cbrt((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(1.0 / l))) tmp = 0.0 if (k <= 0.000192) tmp = Float64(2.0 / (Float64(t_2 * Float64(cbrt(sin(k)) * cbrt(Float64(2.0 * k)))) ^ 3.0)); elseif (k <= 3.5e+141) tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(t_2 * cbrt(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 0.000192], N[(2.0 / N[Power[N[(t$95$2 * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 3.5e+141], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(t$95$2 * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.000192:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\mathbf{elif}\;k \leq 3.5 \cdot 10^{+141}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if k < 1.92e-4Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
*-commutative74.3%
cbrt-prod86.4%
Applied egg-rr86.4%
add-cbrt-cube64.7%
unpow364.7%
unpow264.7%
cbrt-prod55.3%
unpow255.3%
cbrt-div53.8%
unpow253.8%
associate-/l/60.8%
div-inv60.8%
cbrt-prod62.8%
cbrt-div64.7%
unpow364.7%
add-cbrt-cube86.4%
Applied egg-rr86.4%
Taylor expanded in k around 0 77.4%
if 1.92e-4 < k < 3.5e141Initial program 48.4%
Simplified48.5%
associate-*r*50.7%
*-un-lft-identity50.7%
times-frac50.7%
associate-/l/50.6%
Applied egg-rr50.6%
/-rgt-identity50.6%
associate-*r/50.7%
associate-*l/50.7%
associate-*l*50.5%
Simplified50.5%
add-cube-cbrt50.5%
pow350.5%
associate-/l*50.5%
associate-/l*50.5%
Applied egg-rr50.5%
Taylor expanded in t around 0 85.7%
associate-/l*85.7%
rem-cube-cbrt86.9%
associate-*r*86.8%
Simplified86.8%
if 3.5e141 < k Initial program 51.3%
Simplified51.3%
associate-*l*51.3%
associate-/r*54.2%
associate-+r+54.2%
metadata-eval54.2%
associate-*l*54.2%
add-cube-cbrt54.2%
pow354.2%
Applied egg-rr76.0%
add-cbrt-cube54.2%
unpow354.2%
unpow254.2%
cbrt-prod51.3%
unpow251.3%
cbrt-div51.3%
unpow251.3%
associate-/l/54.2%
div-inv54.2%
cbrt-prod54.2%
cbrt-div54.2%
unpow354.2%
add-cbrt-cube75.9%
Applied egg-rr75.9%
Final simplification78.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.55)
(/
2.0
(pow
(*
(* (/ t_m (cbrt l)) (cbrt (/ 1.0 l)))
(* (cbrt (sin k)) (cbrt (* 2.0 k))))
3.0))
(if (<= k 1.76e+140)
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))
(pow
(*
(/ (/ (cbrt (* l 2.0)) t_m) (cbrt (* (sin k) (tan k))))
(cbrt (/ l (+ 2.0 (pow (/ k t_m) 2.0)))))
3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.55) {
tmp = 2.0 / pow((((t_m / cbrt(l)) * cbrt((1.0 / l))) * (cbrt(sin(k)) * cbrt((2.0 * k)))), 3.0);
} else if (k <= 1.76e+140) {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
} else {
tmp = pow((((cbrt((l * 2.0)) / t_m) / cbrt((sin(k) * tan(k)))) * cbrt((l / (2.0 + pow((k / t_m), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.55) {
tmp = 2.0 / Math.pow((((t_m / Math.cbrt(l)) * Math.cbrt((1.0 / l))) * (Math.cbrt(Math.sin(k)) * Math.cbrt((2.0 * k)))), 3.0);
} else if (k <= 1.76e+140) {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
} else {
tmp = Math.pow((((Math.cbrt((l * 2.0)) / t_m) / Math.cbrt((Math.sin(k) * Math.tan(k)))) * Math.cbrt((l / (2.0 + Math.pow((k / t_m), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.55) tmp = Float64(2.0 / (Float64(Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(1.0 / l))) * Float64(cbrt(sin(k)) * cbrt(Float64(2.0 * k)))) ^ 3.0)); elseif (k <= 1.76e+140) tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); else tmp = Float64(Float64(Float64(cbrt(Float64(l * 2.0)) / t_m) / cbrt(Float64(sin(k) * tan(k)))) * cbrt(Float64(l / Float64(2.0 + (Float64(k / t_m) ^ 2.0))))) ^ 3.0; end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.55], N[(2.0 / N[Power[N[(N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.76e+140], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(N[Power[N[(l * 2.0), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision] / N[Power[N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(l / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.55:\\
\;\;\;\;\frac{2}{{\left(\left(\frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\right) \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\mathbf{elif}\;k \leq 1.76 \cdot 10^{+140}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\frac{\sqrt[3]{\ell \cdot 2}}{t\_m}}{\sqrt[3]{\sin k \cdot \tan k}} \cdot \sqrt[3]{\frac{\ell}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}}\right)}^{3}\\
\end{array}
\end{array}
if k < 0.55000000000000004Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
*-commutative74.3%
cbrt-prod86.4%
Applied egg-rr86.4%
add-cbrt-cube64.7%
unpow364.7%
unpow264.7%
cbrt-prod55.3%
unpow255.3%
cbrt-div53.8%
unpow253.8%
associate-/l/60.8%
div-inv60.8%
cbrt-prod62.8%
cbrt-div64.7%
unpow364.7%
add-cbrt-cube86.4%
Applied egg-rr86.4%
Taylor expanded in k around 0 77.4%
if 0.55000000000000004 < k < 1.76e140Initial program 48.4%
Simplified48.5%
associate-*r*50.7%
*-un-lft-identity50.7%
times-frac50.7%
associate-/l/50.6%
Applied egg-rr50.6%
/-rgt-identity50.6%
associate-*r/50.7%
associate-*l/50.7%
associate-*l*50.5%
Simplified50.5%
add-cube-cbrt50.5%
pow350.5%
associate-/l*50.5%
associate-/l*50.5%
Applied egg-rr50.5%
Taylor expanded in t around 0 85.7%
associate-/l*85.7%
rem-cube-cbrt86.9%
associate-*r*86.8%
Simplified86.8%
if 1.76e140 < k Initial program 51.3%
Simplified48.7%
associate-*r*51.6%
*-un-lft-identity51.6%
times-frac51.6%
associate-/l/51.6%
Applied egg-rr51.6%
/-rgt-identity51.6%
associate-*r/51.6%
associate-*l/54.2%
associate-*l*54.2%
Simplified54.2%
add-cube-cbrt54.2%
pow354.2%
associate-/l*54.2%
associate-/l*54.2%
Applied egg-rr54.2%
cbrt-prod54.2%
associate-*r/54.2%
cbrt-div54.2%
cbrt-prod54.2%
unpow354.2%
add-cbrt-cube75.9%
*-commutative75.9%
Applied egg-rr75.9%
associate-/r*75.9%
*-commutative75.9%
Simplified75.9%
Final simplification78.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1160.0)
(/
2.0
(pow
(*
(* (/ t_m (cbrt l)) (cbrt (/ 1.0 l)))
(* (cbrt (sin k)) (cbrt (* 2.0 k))))
3.0))
(if (<= k 1.8e+142)
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))
(/
2.0
(pow
(*
(/ t_m (pow (cbrt l) 2.0))
(cbrt (* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))))
3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1160.0) {
tmp = 2.0 / pow((((t_m / cbrt(l)) * cbrt((1.0 / l))) * (cbrt(sin(k)) * cbrt((2.0 * k)))), 3.0);
} else if (k <= 1.8e+142) {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * cbrt((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1160.0) {
tmp = 2.0 / Math.pow((((t_m / Math.cbrt(l)) * Math.cbrt((1.0 / l))) * (Math.cbrt(Math.sin(k)) * Math.cbrt((2.0 * k)))), 3.0);
} else if (k <= 1.8e+142) {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1160.0) tmp = Float64(2.0 / (Float64(Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(1.0 / l))) * Float64(cbrt(sin(k)) * cbrt(Float64(2.0 * k)))) ^ 3.0)); elseif (k <= 1.8e+142) tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1160.0], N[(2.0 / N[Power[N[(N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.8e+142], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1160:\\
\;\;\;\;\frac{2}{{\left(\left(\frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\right) \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\mathbf{elif}\;k \leq 1.8 \cdot 10^{+142}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\end{array}
\end{array}
if k < 1160Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
*-commutative74.3%
cbrt-prod86.4%
Applied egg-rr86.4%
add-cbrt-cube64.7%
unpow364.7%
unpow264.7%
cbrt-prod55.3%
unpow255.3%
cbrt-div53.8%
unpow253.8%
associate-/l/60.8%
div-inv60.8%
cbrt-prod62.8%
cbrt-div64.7%
unpow364.7%
add-cbrt-cube86.4%
Applied egg-rr86.4%
Taylor expanded in k around 0 77.4%
if 1160 < k < 1.8000000000000001e142Initial program 48.4%
Simplified48.5%
associate-*r*50.7%
*-un-lft-identity50.7%
times-frac50.7%
associate-/l/50.6%
Applied egg-rr50.6%
/-rgt-identity50.6%
associate-*r/50.7%
associate-*l/50.7%
associate-*l*50.5%
Simplified50.5%
add-cube-cbrt50.5%
pow350.5%
associate-/l*50.5%
associate-/l*50.5%
Applied egg-rr50.5%
Taylor expanded in t around 0 85.7%
associate-/l*85.7%
rem-cube-cbrt86.9%
associate-*r*86.8%
Simplified86.8%
if 1.8000000000000001e142 < k Initial program 51.3%
Simplified51.3%
associate-*l*51.3%
associate-/r*54.2%
associate-+r+54.2%
metadata-eval54.2%
associate-*l*54.2%
add-cube-cbrt54.2%
pow354.2%
Applied egg-rr76.0%
Final simplification78.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0007)
(/
2.0
(pow
(*
(* (/ t_m (cbrt l)) (cbrt (/ 1.0 l)))
(* (cbrt (sin k)) (cbrt (* 2.0 k))))
3.0))
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0007) {
tmp = 2.0 / pow((((t_m / cbrt(l)) * cbrt((1.0 / l))) * (cbrt(sin(k)) * cbrt((2.0 * k)))), 3.0);
} else {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0007) {
tmp = 2.0 / Math.pow((((t_m / Math.cbrt(l)) * Math.cbrt((1.0 / l))) * (Math.cbrt(Math.sin(k)) * Math.cbrt((2.0 * k)))), 3.0);
} else {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0007) tmp = Float64(2.0 / (Float64(Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(1.0 / l))) * Float64(cbrt(sin(k)) * cbrt(Float64(2.0 * k)))) ^ 3.0)); else tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0007], N[(2.0 / N[Power[N[(N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0007:\\
\;\;\;\;\frac{2}{{\left(\left(\frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\right) \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\end{array}
\end{array}
if k < 6.99999999999999993e-4Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
*-commutative74.3%
cbrt-prod86.4%
Applied egg-rr86.4%
add-cbrt-cube64.7%
unpow364.7%
unpow264.7%
cbrt-prod55.3%
unpow255.3%
cbrt-div53.8%
unpow253.8%
associate-/l/60.8%
div-inv60.8%
cbrt-prod62.8%
cbrt-div64.7%
unpow364.7%
add-cbrt-cube86.4%
Applied egg-rr86.4%
Taylor expanded in k around 0 77.4%
if 6.99999999999999993e-4 < k Initial program 49.9%
Simplified48.6%
associate-*r*51.2%
*-un-lft-identity51.2%
times-frac51.2%
associate-/l/51.2%
Applied egg-rr51.2%
/-rgt-identity51.2%
associate-*r/51.2%
associate-*l/52.6%
associate-*l*52.5%
Simplified52.5%
add-cube-cbrt52.5%
pow352.5%
associate-/l*52.5%
associate-/l*52.5%
Applied egg-rr52.5%
Taylor expanded in t around 0 76.2%
associate-/l*76.2%
rem-cube-cbrt76.8%
associate-*r*76.8%
Simplified76.8%
Final simplification77.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 1.55e-55)
(* 2.0 (/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 7.5e+102)
(* (/ l t_2) (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))))
(if (<= t_m 1.9e+191)
(/ (* (* l l) (/ (/ 2.0 k) (pow (* t_m (cbrt (sin k))) 3.0))) t_2)
(/
2.0
(pow
(* (/ t_m (pow (cbrt l) 2.0)) (cbrt (* 2.0 (pow k 2.0))))
3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.55e-55) {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0)))));
} else if (t_m <= 1.9e+191) {
tmp = ((l * l) * ((2.0 / k) / pow((t_m * cbrt(sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * cbrt((2.0 * pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.55e-55) {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0)))));
} else if (t_m <= 1.9e+191) {
tmp = ((l * l) * ((2.0 / k) / Math.pow((t_m * Math.cbrt(Math.sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt((2.0 * Math.pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 + (Float64(k / t_m) ^ 2.0)) tmp = 0.0 if (t_m <= 1.55e-55) tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 7.5e+102) tmp = Float64(Float64(l / t_2) * Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0)))))); elseif (t_m <= 1.9e+191) tmp = Float64(Float64(Float64(l * l) * Float64(Float64(2.0 / k) / (Float64(t_m * cbrt(sin(k))) ^ 3.0))) / t_2); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(Float64(2.0 * (k ^ 2.0)))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.55e-55], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.5e+102], N[(N[(l / t$95$2), $MachinePrecision] * N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.9e+191], N[(N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.55 \cdot 10^{-55}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{\ell}{t\_2} \cdot \left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right)\\
\mathbf{elif}\;t\_m \leq 1.9 \cdot 10^{+191}:\\
\;\;\;\;\frac{\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{2 \cdot {k}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 1.54999999999999998e-55Initial program 48.8%
Simplified48.8%
Taylor expanded in t around 0 65.7%
pow265.7%
Applied egg-rr65.7%
if 1.54999999999999998e-55 < t < 7.5e102Initial program 71.0%
Simplified64.6%
associate-*r*72.7%
*-un-lft-identity72.7%
times-frac78.6%
associate-/l/78.6%
Applied egg-rr78.6%
if 7.5e102 < t < 1.8999999999999999e191Initial program 37.3%
Simplified37.3%
Taylor expanded in k around 0 37.3%
add-cube-cbrt37.3%
pow237.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube37.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube79.0%
Applied egg-rr79.0%
unpow279.0%
unpow379.1%
cube-div79.0%
rem-cube-cbrt79.0%
Simplified79.0%
if 1.8999999999999999e191 < t Initial program 68.1%
Simplified68.1%
associate-*l*68.0%
associate-/r*75.8%
associate-+r+75.8%
metadata-eval75.8%
associate-*l*75.8%
add-cube-cbrt75.8%
pow375.8%
Applied egg-rr94.5%
Taylor expanded in k around 0 90.9%
Final simplification70.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 5.2e-56)
(* 2.0 (/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 7.5e+102)
(* (/ l t_2) (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))))
(if (<= t_m 5.3e+191)
(/ (* (* l l) (/ (/ 2.0 k) (pow (* t_m (cbrt (sin k))) 3.0))) t_2)
(/
2.0
(pow
(* t_m (* (cbrt (* 2.0 (pow k 2.0))) (pow (cbrt l) -2.0)))
3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + pow((k / t_m), 2.0);
double tmp;
if (t_m <= 5.2e-56) {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0)))));
} else if (t_m <= 5.3e+191) {
tmp = ((l * l) * ((2.0 / k) / pow((t_m * cbrt(sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / pow((t_m * (cbrt((2.0 * pow(k, 2.0))) * pow(cbrt(l), -2.0))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 5.2e-56) {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0)))));
} else if (t_m <= 5.3e+191) {
tmp = ((l * l) * ((2.0 / k) / Math.pow((t_m * Math.cbrt(Math.sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / Math.pow((t_m * (Math.cbrt((2.0 * Math.pow(k, 2.0))) * Math.pow(Math.cbrt(l), -2.0))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 + (Float64(k / t_m) ^ 2.0)) tmp = 0.0 if (t_m <= 5.2e-56) tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 7.5e+102) tmp = Float64(Float64(l / t_2) * Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0)))))); elseif (t_m <= 5.3e+191) tmp = Float64(Float64(Float64(l * l) * Float64(Float64(2.0 / k) / (Float64(t_m * cbrt(sin(k))) ^ 3.0))) / t_2); else tmp = Float64(2.0 / (Float64(t_m * Float64(cbrt(Float64(2.0 * (k ^ 2.0))) * (cbrt(l) ^ -2.0))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5.2e-56], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.5e+102], N[(N[(l / t$95$2), $MachinePrecision] * N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.3e+191], N[(N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(2.0 / N[Power[N[(t$95$m * N[(N[Power[N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.2 \cdot 10^{-56}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{\ell}{t\_2} \cdot \left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right)\\
\mathbf{elif}\;t\_m \leq 5.3 \cdot 10^{+191}:\\
\;\;\;\;\frac{\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot \left(\sqrt[3]{2 \cdot {k}^{2}} \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 5.19999999999999994e-56Initial program 48.8%
Simplified48.8%
Taylor expanded in t around 0 65.7%
pow265.7%
Applied egg-rr65.7%
if 5.19999999999999994e-56 < t < 7.5e102Initial program 71.0%
Simplified64.6%
associate-*r*72.7%
*-un-lft-identity72.7%
times-frac78.6%
associate-/l/78.6%
Applied egg-rr78.6%
if 7.5e102 < t < 5.30000000000000031e191Initial program 37.3%
Simplified37.3%
Taylor expanded in k around 0 37.3%
add-cube-cbrt37.3%
pow237.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube37.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube79.0%
Applied egg-rr79.0%
unpow279.0%
unpow379.1%
cube-div79.0%
rem-cube-cbrt79.0%
Simplified79.0%
if 5.30000000000000031e191 < t Initial program 68.1%
Simplified68.1%
associate-*l*68.0%
associate-/r*75.8%
associate-+r+75.8%
metadata-eval75.8%
associate-*l*75.8%
add-cube-cbrt75.8%
pow375.8%
Applied egg-rr94.5%
Taylor expanded in k around 0 90.9%
Applied egg-rr90.8%
unpow190.8%
associate-*l*90.8%
Simplified90.8%
Final simplification70.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1720.0)
(/
2.0
(pow (* (/ t_m (pow (cbrt l) 2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(*
(pow l 2.0)
(/ (* 2.0 (cos k)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1720.0) {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = pow(l, 2.0) * ((2.0 * cos(k)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1720.0) {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = Math.pow(l, 2.0) * ((2.0 * Math.cos(k)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1720.0) tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64((l ^ 2.0) * Float64(Float64(2.0 * cos(k)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1720.0], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(2.0 * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1720:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;{\ell}^{2} \cdot \frac{2 \cdot \cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\end{array}
\end{array}
if k < 1720Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
Taylor expanded in k around 0 67.5%
pow-to-exp22.1%
*-commutative22.1%
*-commutative22.1%
pow-to-exp67.5%
pow267.5%
associate-*r*67.5%
cbrt-prod77.5%
Applied egg-rr77.5%
if 1720 < k Initial program 49.9%
Simplified48.6%
associate-*r*51.2%
*-un-lft-identity51.2%
times-frac51.2%
associate-/l/51.2%
Applied egg-rr51.2%
/-rgt-identity51.2%
associate-*r/51.2%
associate-*l/52.6%
associate-*l*52.5%
Simplified52.5%
add-cube-cbrt52.5%
pow352.5%
associate-/l*52.5%
associate-/l*52.5%
Applied egg-rr52.5%
Taylor expanded in t around 0 76.2%
associate-/l*76.2%
rem-cube-cbrt76.8%
associate-*r*76.8%
Simplified76.8%
Final simplification77.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0064)
(/
2.0
(pow (* (/ t_m (pow (cbrt l) 2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(*
2.0
(* (pow l 2.0) (/ (cos k) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0064) {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = 2.0 * (pow(l, 2.0) * (cos(k) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0064) {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = 2.0 * (Math.pow(l, 2.0) * (Math.cos(k) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0064) tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64(2.0 * Float64((l ^ 2.0) * Float64(cos(k) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0064], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0064:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left({\ell}^{2} \cdot \frac{\cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\right)\\
\end{array}
\end{array}
if k < 0.00640000000000000031Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
Taylor expanded in k around 0 67.5%
pow-to-exp22.1%
*-commutative22.1%
*-commutative22.1%
pow-to-exp67.5%
pow267.5%
associate-*r*67.5%
cbrt-prod77.5%
Applied egg-rr77.5%
if 0.00640000000000000031 < k Initial program 49.9%
Simplified50.0%
add-cube-cbrt49.9%
pow349.9%
associate-/r*52.5%
*-commutative52.5%
cbrt-prod52.5%
associate-/r*49.9%
cbrt-div49.8%
rem-cbrt-cube57.0%
cbrt-prod62.1%
pow262.1%
Applied egg-rr62.1%
Taylor expanded in k around inf 76.7%
associate-/l*76.8%
associate-*r*76.8%
Simplified76.8%
Final simplification77.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1020.0)
(/
2.0
(pow (* (/ t_m (pow (cbrt l) 2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(*
2.0
(/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1020.0) {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1020.0) {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1020.0) tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1020.0], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1020:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\end{array}
\end{array}
if k < 1020Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
Taylor expanded in k around 0 67.5%
pow-to-exp22.1%
*-commutative22.1%
*-commutative22.1%
pow-to-exp67.5%
pow267.5%
associate-*r*67.5%
cbrt-prod77.5%
Applied egg-rr77.5%
if 1020 < k Initial program 49.9%
Simplified50.0%
Taylor expanded in t around 0 76.7%
pow276.7%
Applied egg-rr76.7%
Final simplification77.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.012)
(/
2.0
(* (* 2.0 k) (pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0)))
(*
2.0
(/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.012) {
tmp = 2.0 / ((2.0 * k) * pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0));
} else {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.012) {
tmp = 2.0 / ((2.0 * k) * Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0));
} else {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.012) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0))); else tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.012], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.012:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\end{array}
\end{array}
if k < 0.012Initial program 54.0%
Simplified54.0%
add-cube-cbrt53.9%
pow353.9%
associate-/r*60.9%
*-commutative60.9%
cbrt-prod60.9%
associate-/r*53.8%
cbrt-div54.8%
rem-cbrt-cube67.8%
cbrt-prod80.0%
pow280.0%
Applied egg-rr80.0%
Taylor expanded in k around 0 73.1%
if 0.012 < k Initial program 49.9%
Simplified50.0%
Taylor expanded in t around 0 76.7%
pow276.7%
Applied egg-rr76.7%
Final simplification74.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 1.25e-55)
(* 2.0 (/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 7.5e+102)
(* (/ l t_2) (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))))
(if (<= t_m 2.3e+191)
(/ (* (* l l) (/ (/ 2.0 k) (pow (* t_m (cbrt (sin k))) 3.0))) t_2)
(/
2.0
(* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.25e-55) {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0)))));
} else if (t_m <= 2.3e+191) {
tmp = ((l * l) * ((2.0 / k) / pow((t_m * cbrt(sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.25e-55) {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l / t_2) * (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0)))));
} else if (t_m <= 2.3e+191) {
tmp = ((l * l) * ((2.0 / k) / Math.pow((t_m * Math.cbrt(Math.sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 + (Float64(k / t_m) ^ 2.0)) tmp = 0.0 if (t_m <= 1.25e-55) tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 7.5e+102) tmp = Float64(Float64(l / t_2) * Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0)))))); elseif (t_m <= 2.3e+191) tmp = Float64(Float64(Float64(l * l) * Float64(Float64(2.0 / k) / (Float64(t_m * cbrt(sin(k))) ^ 3.0))) / t_2); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.25e-55], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.5e+102], N[(N[(l / t$95$2), $MachinePrecision] * N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.3e+191], N[(N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.25 \cdot 10^{-55}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{\ell}{t\_2} \cdot \left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right)\\
\mathbf{elif}\;t\_m \leq 2.3 \cdot 10^{+191}:\\
\;\;\;\;\frac{\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.25e-55Initial program 48.8%
Simplified48.8%
Taylor expanded in t around 0 65.7%
pow265.7%
Applied egg-rr65.7%
if 1.25e-55 < t < 7.5e102Initial program 71.0%
Simplified64.6%
associate-*r*72.7%
*-un-lft-identity72.7%
times-frac78.6%
associate-/l/78.6%
Applied egg-rr78.6%
if 7.5e102 < t < 2.2999999999999999e191Initial program 37.3%
Simplified37.3%
Taylor expanded in k around 0 37.3%
add-cube-cbrt37.3%
pow237.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube37.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube79.0%
Applied egg-rr79.0%
unpow279.0%
unpow379.1%
cube-div79.0%
rem-cube-cbrt79.0%
Simplified79.0%
if 2.2999999999999999e191 < t Initial program 68.1%
Simplified75.8%
Taylor expanded in k around 0 75.8%
unpow275.8%
Applied egg-rr75.8%
associate-/r*68.0%
unpow368.0%
times-frac75.8%
pow275.8%
Applied egg-rr75.8%
frac-times68.0%
unpow268.0%
unpow368.0%
associate-/l/75.8%
add-cube-cbrt75.8%
pow375.8%
associate-/l/68.0%
cbrt-div68.0%
unpow368.0%
add-cbrt-cube72.4%
cbrt-unprod87.3%
unpow287.3%
div-inv87.4%
pow-flip87.4%
metadata-eval87.4%
Applied egg-rr87.4%
Final simplification70.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 1e-42)
(* 2.0 (/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 7.5e+102)
(/ (* l (/ (* l 2.0) (* (tan k) (* (sin k) (pow t_m 3.0))))) t_2)
(if (<= t_m 3.3e+191)
(/ (* (* l l) (/ (/ 2.0 k) (pow (* t_m (cbrt (sin k))) 3.0))) t_2)
(/
2.0
(* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1e-42) {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l * ((l * 2.0) / (tan(k) * (sin(k) * pow(t_m, 3.0))))) / t_2;
} else if (t_m <= 3.3e+191) {
tmp = ((l * l) * ((2.0 / k) / pow((t_m * cbrt(sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1e-42) {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 7.5e+102) {
tmp = (l * ((l * 2.0) / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) / t_2;
} else if (t_m <= 3.3e+191) {
tmp = ((l * l) * ((2.0 / k) / Math.pow((t_m * Math.cbrt(Math.sin(k))), 3.0))) / t_2;
} else {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 + (Float64(k / t_m) ^ 2.0)) tmp = 0.0 if (t_m <= 1e-42) tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 7.5e+102) tmp = Float64(Float64(l * Float64(Float64(l * 2.0) / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) / t_2); elseif (t_m <= 3.3e+191) tmp = Float64(Float64(Float64(l * l) * Float64(Float64(2.0 / k) / (Float64(t_m * cbrt(sin(k))) ^ 3.0))) / t_2); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1e-42], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.5e+102], N[(N[(l * N[(N[(l * 2.0), $MachinePrecision] / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 3.3e+191], N[(N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 10^{-42}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{\ell \cdot \frac{\ell \cdot 2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}}{t\_2}\\
\mathbf{elif}\;t\_m \leq 3.3 \cdot 10^{+191}:\\
\;\;\;\;\frac{\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.00000000000000004e-42Initial program 49.1%
Simplified49.2%
Taylor expanded in t around 0 66.1%
pow266.1%
Applied egg-rr66.1%
if 1.00000000000000004e-42 < t < 7.5e102Initial program 73.0%
Simplified69.2%
associate-*r*75.1%
*-un-lft-identity75.1%
times-frac78.4%
associate-/l/78.3%
Applied egg-rr78.3%
/-rgt-identity78.3%
associate-*r/75.0%
associate-*l/76.6%
associate-*l*67.9%
Simplified67.9%
associate-/l*67.9%
Applied egg-rr67.9%
associate-*r/67.9%
*-commutative67.9%
associate-*r*76.6%
Simplified76.6%
if 7.5e102 < t < 3.2999999999999998e191Initial program 37.3%
Simplified37.3%
Taylor expanded in k around 0 37.3%
add-cube-cbrt37.3%
pow237.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube37.3%
cbrt-div37.3%
cbrt-prod37.3%
unpow337.3%
add-cbrt-cube79.0%
Applied egg-rr79.0%
unpow279.0%
unpow379.1%
cube-div79.0%
rem-cube-cbrt79.0%
Simplified79.0%
if 3.2999999999999998e191 < t Initial program 68.1%
Simplified75.8%
Taylor expanded in k around 0 75.8%
unpow275.8%
Applied egg-rr75.8%
associate-/r*68.0%
unpow368.0%
times-frac75.8%
pow275.8%
Applied egg-rr75.8%
frac-times68.0%
unpow268.0%
unpow368.0%
associate-/l/75.8%
add-cube-cbrt75.8%
pow375.8%
associate-/l/68.0%
cbrt-div68.0%
unpow368.0%
add-cbrt-cube72.4%
cbrt-unprod87.3%
unpow287.3%
div-inv87.4%
pow-flip87.4%
metadata-eval87.4%
Applied egg-rr87.4%
Final simplification70.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 4.8e-41)
(* 2.0 (/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 5.2e+110)
(/
(* l (/ (* l 2.0) (* (tan k) (* (sin k) (pow t_m 3.0)))))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.8e-41) {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 5.2e+110) {
tmp = (l * ((l * 2.0) / (tan(k) * (sin(k) * pow(t_m, 3.0))))) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.8e-41) {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 5.2e+110) {
tmp = (l * ((l * 2.0) / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 4.8e-41) tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 5.2e+110) tmp = Float64(Float64(l * Float64(Float64(l * 2.0) / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 4.8e-41], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.2e+110], N[(N[(l * N[(N[(l * 2.0), $MachinePrecision] / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.8 \cdot 10^{-41}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 5.2 \cdot 10^{+110}:\\
\;\;\;\;\frac{\ell \cdot \frac{\ell \cdot 2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 4.80000000000000044e-41Initial program 49.1%
Simplified49.2%
Taylor expanded in t around 0 66.1%
pow266.1%
Applied egg-rr66.1%
if 4.80000000000000044e-41 < t < 5.2e110Initial program 73.0%
Simplified69.2%
associate-*r*75.1%
*-un-lft-identity75.1%
times-frac78.4%
associate-/l/78.3%
Applied egg-rr78.3%
/-rgt-identity78.3%
associate-*r/75.0%
associate-*l/76.6%
associate-*l*67.9%
Simplified67.9%
associate-/l*67.9%
Applied egg-rr67.9%
associate-*r/67.9%
*-commutative67.9%
associate-*r*76.6%
Simplified76.6%
if 5.2e110 < t Initial program 57.0%
Simplified61.6%
Taylor expanded in k around 0 61.6%
unpow261.6%
Applied egg-rr61.6%
associate-/r*56.5%
unpow356.5%
times-frac71.9%
pow271.9%
Applied egg-rr71.9%
frac-times56.5%
unpow256.5%
unpow356.5%
associate-/l/61.6%
add-cube-cbrt61.6%
pow361.6%
associate-/l/56.5%
cbrt-div56.5%
unpow356.5%
add-cbrt-cube69.6%
cbrt-unprod79.2%
unpow279.2%
div-inv79.3%
pow-flip79.3%
metadata-eval79.3%
Applied egg-rr79.3%
Final simplification69.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1.15e-14)
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))
(if (<= k 1.9e+91)
(/ 2.0 (* (* (sin k) (/ (pow t_m 3.0) (* l l))) (* 2.0 (tan k))))
(* 2.0 (/ (pow l 2.0) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.15e-14) {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else if (k <= 1.9e+91) {
tmp = 2.0 / ((sin(k) * (pow(t_m, 3.0) / (l * l))) * (2.0 * tan(k)));
} else {
tmp = 2.0 * (pow(l, 2.0) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.15e-14) {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else if (k <= 1.9e+91) {
tmp = 2.0 / ((Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))) * (2.0 * Math.tan(k)));
} else {
tmp = 2.0 * (Math.pow(l, 2.0) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1.15e-14) tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); elseif (k <= 1.9e+91) tmp = Float64(2.0 / Float64(Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))) * Float64(2.0 * tan(k)))); else tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1.15e-14], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.9e+91], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.15 \cdot 10^{-14}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{elif}\;k \leq 1.9 \cdot 10^{+91}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right) \cdot \left(2 \cdot \tan k\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\end{array}
\end{array}
if k < 1.14999999999999999e-14Initial program 53.7%
Simplified55.2%
Taylor expanded in k around 0 54.9%
unpow254.9%
Applied egg-rr54.9%
associate-/r*49.2%
unpow349.2%
times-frac59.8%
pow259.8%
Applied egg-rr59.8%
frac-times49.2%
unpow249.2%
unpow349.2%
associate-/l/54.9%
add-cube-cbrt54.8%
pow354.8%
associate-/l/49.2%
cbrt-div49.2%
unpow349.2%
add-cbrt-cube57.5%
cbrt-unprod63.9%
unpow263.9%
div-inv64.0%
pow-flip64.0%
metadata-eval64.0%
Applied egg-rr64.0%
if 1.14999999999999999e-14 < k < 1.8999999999999999e91Initial program 58.7%
Simplified58.6%
Taylor expanded in k around 0 54.8%
if 1.8999999999999999e91 < k Initial program 48.2%
Simplified48.2%
Taylor expanded in t around 0 76.2%
Taylor expanded in k around 0 63.9%
Final simplification63.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.8e-8)
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))
(*
2.0
(/ (* (cos k) (* l l)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e-8) {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 * ((cos(k) * (l * l)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e-8) {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 * ((Math.cos(k) * (l * l)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 7.8e-8) tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 * Float64(Float64(cos(k) * Float64(l * l)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 7.8e-8], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.8 \cdot 10^{-8}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot \left(\ell \cdot \ell\right)}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\end{array}
\end{array}
if k < 7.7999999999999997e-8Initial program 54.0%
Simplified55.5%
Taylor expanded in k around 0 55.1%
unpow255.1%
Applied egg-rr55.1%
associate-/r*49.5%
unpow349.5%
times-frac60.0%
pow260.0%
Applied egg-rr60.0%
frac-times49.5%
unpow249.5%
unpow349.5%
associate-/l/55.1%
add-cube-cbrt55.0%
pow355.0%
associate-/l/49.5%
cbrt-div49.5%
unpow349.5%
add-cbrt-cube57.8%
cbrt-unprod64.1%
unpow264.1%
div-inv64.2%
pow-flip64.2%
metadata-eval64.2%
Applied egg-rr64.2%
if 7.7999999999999997e-8 < k Initial program 49.9%
Simplified50.0%
Taylor expanded in t around 0 76.7%
pow276.7%
Applied egg-rr76.7%
Final simplification67.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 8.8e-5)
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k))))
(* 2.0 (/ (* (pow l 2.0) (cos k)) (* t_m (pow k 4.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8.8e-5) {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (t_m * pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8.8e-5) {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (t_m * Math.pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 8.8e-5) tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64(t_m * (k ^ 4.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 8.8e-5], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 8.8 \cdot 10^{-5}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 8.7999999999999998e-5Initial program 54.0%
Simplified55.5%
Taylor expanded in k around 0 55.1%
unpow255.1%
Applied egg-rr55.1%
associate-/r*49.5%
unpow349.5%
times-frac60.0%
pow260.0%
Applied egg-rr60.0%
frac-times49.5%
unpow249.5%
unpow349.5%
associate-/l/55.1%
add-cube-cbrt55.0%
pow355.0%
associate-/l/49.5%
cbrt-div49.5%
unpow349.5%
add-cbrt-cube57.8%
cbrt-unprod64.1%
unpow264.1%
div-inv64.2%
pow-flip64.2%
metadata-eval64.2%
Applied egg-rr64.2%
if 8.7999999999999998e-5 < k Initial program 49.9%
Simplified50.0%
Taylor expanded in t around 0 76.7%
Taylor expanded in k around 0 56.0%
Final simplification61.9%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 51000.0)
(/ 2.0 (* (/ (pow t_m 2.0) l) (* (* 2.0 (pow k 2.0)) (/ t_m l))))
(* 2.0 (/ (* (pow l 2.0) (cos k)) (* t_m (pow k 4.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 51000.0) {
tmp = 2.0 / ((pow(t_m, 2.0) / l) * ((2.0 * pow(k, 2.0)) * (t_m / l)));
} else {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (t_m * pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 51000.0d0) then
tmp = 2.0d0 / (((t_m ** 2.0d0) / l) * ((2.0d0 * (k ** 2.0d0)) * (t_m / l)))
else
tmp = 2.0d0 * (((l ** 2.0d0) * cos(k)) / (t_m * (k ** 4.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 51000.0) {
tmp = 2.0 / ((Math.pow(t_m, 2.0) / l) * ((2.0 * Math.pow(k, 2.0)) * (t_m / l)));
} else {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (t_m * Math.pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 51000.0: tmp = 2.0 / ((math.pow(t_m, 2.0) / l) * ((2.0 * math.pow(k, 2.0)) * (t_m / l))) else: tmp = 2.0 * ((math.pow(l, 2.0) * math.cos(k)) / (t_m * math.pow(k, 4.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 51000.0) tmp = Float64(2.0 / Float64(Float64((t_m ^ 2.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) * Float64(t_m / l)))); else tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64(t_m * (k ^ 4.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 51000.0) tmp = 2.0 / (((t_m ^ 2.0) / l) * ((2.0 * (k ^ 2.0)) * (t_m / l))); else tmp = 2.0 * (((l ^ 2.0) * cos(k)) / (t_m * (k ^ 4.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 51000.0], N[(2.0 / N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 51000:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{2}}{\ell} \cdot \left(\left(2 \cdot {k}^{2}\right) \cdot \frac{t\_m}{\ell}\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 51000Initial program 54.0%
Simplified54.0%
associate-*l*48.9%
associate-/r*55.4%
associate-+r+55.4%
metadata-eval55.4%
associate-*l*55.5%
add-cube-cbrt55.4%
pow355.4%
Applied egg-rr74.3%
Taylor expanded in k around 0 67.5%
unpow-prod-down64.2%
pow1/363.7%
pow263.7%
pow-pow64.1%
metadata-eval64.1%
pow164.1%
Applied egg-rr61.6%
if 51000 < k Initial program 49.9%
Simplified50.0%
Taylor expanded in t around 0 76.7%
Taylor expanded in k around 0 56.0%
Final simplification60.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.8e+162)
(/ 2.0 (* (/ (pow t_m 2.0) l) (* (* 2.0 (pow k 2.0)) (/ t_m l))))
(/ (* 2.0 (pow l 2.0)) (* t_m (pow k 4.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e+162) {
tmp = 2.0 / ((pow(t_m, 2.0) / l) * ((2.0 * pow(k, 2.0)) * (t_m / l)));
} else {
tmp = (2.0 * pow(l, 2.0)) / (t_m * pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 7.8d+162) then
tmp = 2.0d0 / (((t_m ** 2.0d0) / l) * ((2.0d0 * (k ** 2.0d0)) * (t_m / l)))
else
tmp = (2.0d0 * (l ** 2.0d0)) / (t_m * (k ** 4.0d0))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e+162) {
tmp = 2.0 / ((Math.pow(t_m, 2.0) / l) * ((2.0 * Math.pow(k, 2.0)) * (t_m / l)));
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 7.8e+162: tmp = 2.0 / ((math.pow(t_m, 2.0) / l) * ((2.0 * math.pow(k, 2.0)) * (t_m / l))) else: tmp = (2.0 * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 7.8e+162) tmp = Float64(2.0 / Float64(Float64((t_m ^ 2.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) * Float64(t_m / l)))); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 7.8e+162) tmp = 2.0 / (((t_m ^ 2.0) / l) * ((2.0 * (k ^ 2.0)) * (t_m / l))); else tmp = (2.0 * (l ^ 2.0)) / (t_m * (k ^ 4.0)); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 7.8e+162], N[(2.0 / N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.8 \cdot 10^{+162}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{2}}{\ell} \cdot \left(\left(2 \cdot {k}^{2}\right) \cdot \frac{t\_m}{\ell}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 7.80000000000000079e162Initial program 53.7%
Simplified53.8%
associate-*l*49.6%
associate-/r*55.3%
associate-+r+55.3%
metadata-eval55.3%
associate-*l*55.3%
add-cube-cbrt55.2%
pow355.2%
Applied egg-rr72.0%
Taylor expanded in k around 0 64.2%
unpow-prod-down61.5%
pow1/361.1%
pow261.1%
pow-pow61.4%
metadata-eval61.4%
pow161.4%
Applied egg-rr59.3%
if 7.80000000000000079e162 < k Initial program 46.8%
Simplified46.8%
Taylor expanded in t around 0 66.0%
Taylor expanded in k around 0 66.0%
associate-*r/66.0%
*-commutative66.0%
Simplified66.0%
Final simplification60.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.8e+162)
(/ 2.0 (* (* 2.0 (* k k)) (pow (/ (pow t_m 1.5) l) 2.0)))
(/ (* 2.0 (pow l 2.0)) (* t_m (pow k 4.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e+162) {
tmp = 2.0 / ((2.0 * (k * k)) * pow((pow(t_m, 1.5) / l), 2.0));
} else {
tmp = (2.0 * pow(l, 2.0)) / (t_m * pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 7.8d+162) then
tmp = 2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 1.5d0) / l) ** 2.0d0))
else
tmp = (2.0d0 * (l ** 2.0d0)) / (t_m * (k ** 4.0d0))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.8e+162) {
tmp = 2.0 / ((2.0 * (k * k)) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0));
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 7.8e+162: tmp = 2.0 / ((2.0 * (k * k)) * math.pow((math.pow(t_m, 1.5) / l), 2.0)) else: tmp = (2.0 * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 7.8e+162) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * (Float64((t_m ^ 1.5) / l) ^ 2.0))); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 7.8e+162) tmp = 2.0 / ((2.0 * (k * k)) * (((t_m ^ 1.5) / l) ^ 2.0)); else tmp = (2.0 * (l ^ 2.0)) / (t_m * (k ^ 4.0)); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 7.8e+162], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.8 \cdot 10^{+162}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 7.80000000000000079e162Initial program 53.7%
Simplified55.3%
Taylor expanded in k around 0 53.9%
unpow253.9%
Applied egg-rr53.9%
add-sqr-sqrt31.9%
pow231.9%
associate-/r*27.6%
sqrt-div26.7%
sqrt-pow130.2%
metadata-eval30.2%
sqrt-prod14.1%
add-sqr-sqrt34.5%
Applied egg-rr34.5%
if 7.80000000000000079e162 < k Initial program 46.8%
Simplified46.8%
Taylor expanded in t around 0 66.0%
Taylor expanded in k around 0 66.0%
associate-*r/66.0%
*-commutative66.0%
Simplified66.0%
Final simplification38.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 8e+162)
(/ 2.0 (* (* 2.0 (* k k)) (* (/ (pow t_m 2.0) l) (/ 1.0 (/ l t_m)))))
(/ (* 2.0 (pow l 2.0)) (* t_m (pow k 4.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e+162) {
tmp = 2.0 / ((2.0 * (k * k)) * ((pow(t_m, 2.0) / l) * (1.0 / (l / t_m))));
} else {
tmp = (2.0 * pow(l, 2.0)) / (t_m * pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 8d+162) then
tmp = 2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 2.0d0) / l) * (1.0d0 / (l / t_m))))
else
tmp = (2.0d0 * (l ** 2.0d0)) / (t_m * (k ** 4.0d0))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e+162) {
tmp = 2.0 / ((2.0 * (k * k)) * ((Math.pow(t_m, 2.0) / l) * (1.0 / (l / t_m))));
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 8e+162: tmp = 2.0 / ((2.0 * (k * k)) * ((math.pow(t_m, 2.0) / l) * (1.0 / (l / t_m)))) else: tmp = (2.0 * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 8e+162) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64((t_m ^ 2.0) / l) * Float64(1.0 / Float64(l / t_m))))); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 8e+162) tmp = 2.0 / ((2.0 * (k * k)) * (((t_m ^ 2.0) / l) * (1.0 / (l / t_m)))); else tmp = (2.0 * (l ^ 2.0)) / (t_m * (k ^ 4.0)); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 8e+162], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(1.0 / N[(l / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 8 \cdot 10^{+162}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{1}{\frac{\ell}{t\_m}}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 7.9999999999999995e162Initial program 53.7%
Simplified55.3%
Taylor expanded in k around 0 53.9%
unpow253.9%
Applied egg-rr53.9%
associate-/r*49.0%
unpow348.9%
times-frac58.0%
pow258.0%
Applied egg-rr58.0%
clear-num58.0%
inv-pow58.0%
Applied egg-rr58.0%
unpow-158.0%
Simplified58.0%
if 7.9999999999999995e162 < k Initial program 46.8%
Simplified46.8%
Taylor expanded in t around 0 66.0%
Taylor expanded in k around 0 66.0%
associate-*r/66.0%
*-commutative66.0%
Simplified66.0%
Final simplification59.0%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (* (/ (pow t_m 2.0) l) (/ 1.0 (/ l t_m)))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((pow(t_m, 2.0) / l) * (1.0 / (l / t_m)))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 2.0d0) / l) * (1.0d0 / (l / t_m)))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((Math.pow(t_m, 2.0) / l) * (1.0 / (l / t_m)))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((math.pow(t_m, 2.0) / l) * (1.0 / (l / t_m)))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64((t_m ^ 2.0) / l) * Float64(1.0 / Float64(l / t_m)))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * (((t_m ^ 2.0) / l) * (1.0 / (l / t_m))))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(1.0 / N[(l / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{1}{\frac{\ell}{t\_m}}\right)}
\end{array}
Initial program 52.9%
Simplified54.6%
Taylor expanded in k around 0 53.5%
unpow253.5%
Applied egg-rr53.5%
associate-/r*48.7%
unpow348.7%
times-frac57.8%
pow257.8%
Applied egg-rr57.8%
clear-num57.8%
inv-pow57.8%
Applied egg-rr57.8%
unpow-157.8%
Simplified57.8%
Final simplification57.8%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (* (/ t_m l) (/ (* t_m t_m) l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m / l) * Float64(Float64(t_m * t_m) / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot t\_m}{\ell}\right)}
\end{array}
Initial program 52.9%
Simplified54.6%
Taylor expanded in k around 0 53.5%
unpow253.5%
Applied egg-rr53.5%
associate-/r*48.7%
unpow348.7%
times-frac57.8%
pow257.8%
Applied egg-rr57.8%
unpow257.8%
Applied egg-rr57.8%
Final simplification57.8%
herbie shell --seed 2024191
(FPCore (t l k)
:name "Toniolo and Linder, Equation (10+)"
:precision binary64
(/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))