
(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 23 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
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<= t_m 1.35e-45)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 5.6e+102)
(*
(* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k)))
(/ l (+ 2.0 t_2)))
(/
2.0
(*
(pow (* t_m (/ (cbrt (sin k)) (pow (cbrt l) 2.0))) 3.0)
(* (tan k) (+ 1.0 (+ t_2 1.0))))))))))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 = pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.35e-45) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / (pow((t_m * (cbrt(sin(k)) / pow(cbrt(l), 2.0))), 3.0) * (tan(k) * (1.0 + (t_2 + 1.0))));
}
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 = Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.35e-45) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / (Math.pow((t_m * (Math.cbrt(Math.sin(k)) / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (Math.tan(k) * (1.0 + (t_2 + 1.0))));
}
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(k / t_m) ^ 2.0 tmp = 0.0 if (t_m <= 1.35e-45) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 5.6e+102) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / Float64(2.0 + t_2))); else tmp = Float64(2.0 / Float64((Float64(t_m * Float64(cbrt(sin(k)) / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64(t_2 + 1.0))))); 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[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.35e-45], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.6e+102], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $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 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.35 \cdot 10^{-45}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot \frac{\sqrt[3]{\sin k}}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left(t\_2 + 1\right)\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.34999999999999992e-45Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 1.34999999999999992e-45 < t < 5.60000000000000037e102Initial program 85.5%
Simplified85.5%
associate-*r*91.4%
*-un-lft-identity91.4%
times-frac94.2%
Applied egg-rr94.2%
/-rgt-identity94.2%
associate-*l/94.2%
associate-*r*97.1%
times-frac97.0%
associate-/r*97.1%
Simplified97.1%
if 5.60000000000000037e102 < t Initial program 61.2%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
*-commutative61.2%
cbrt-prod61.2%
cbrt-div61.2%
rem-cbrt-cube77.7%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
associate-*l/93.5%
Applied egg-rr93.5%
associate-/l*93.6%
Simplified93.6%
Final simplification74.3%
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 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<= t_m 7.5e-46)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 5.6e+102)
(*
(* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k)))
(/ l (+ 2.0 t_2)))
(/
2.0
(*
(* (tan k) (+ 1.0 (+ t_2 1.0)))
(* (sin k) (pow (/ 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 t_2 = pow((k / t_m), 2.0);
double tmp;
if (t_m <= 7.5e-46) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (t_2 + 1.0))) * (sin(k) * pow((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 t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 7.5e-46) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (t_2 + 1.0))) * (Math.sin(k) * Math.pow((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) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (t_m <= 7.5e-46) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 5.6e+102) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / Float64(2.0 + t_2))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64(t_2 + 1.0))) * Float64(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_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.5e-46], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.6e+102], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $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 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.5 \cdot 10^{-46}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left(t\_2 + 1\right)\right)\right) \cdot \left(\sin k \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 7.50000000000000027e-46Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 7.50000000000000027e-46 < t < 5.60000000000000037e102Initial program 85.5%
Simplified85.5%
associate-*r*91.4%
*-un-lft-identity91.4%
times-frac94.2%
Applied egg-rr94.2%
/-rgt-identity94.2%
associate-*l/94.2%
associate-*r*97.1%
times-frac97.0%
associate-/r*97.1%
Simplified97.1%
if 5.60000000000000037e102 < t Initial program 61.2%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
cbrt-div61.2%
rem-cbrt-cube69.8%
cbrt-prod81.6%
pow281.6%
Applied egg-rr81.6%
Final simplification72.1%
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 5.8e-46)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 5.6e+102)
(* (* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k))) (/ l t_2))
(if (<= t_m 2.6e+202)
(/ 2.0 (* (* (tan k) t_2) (* (sin k) (pow (/ (pow t_m 1.5) l) 2.0))))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0)
(* 2.0 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 <= 5.8e-46) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / t_2);
} else if (t_m <= 2.6e+202) {
tmp = 2.0 / ((tan(k) * t_2) * (sin(k) * pow((pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 <= 5.8e-46) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / t_2);
} else if (t_m <= 2.6e+202) {
tmp = 2.0 / ((Math.tan(k) * t_2) * (Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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 <= 5.8e-46) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 5.6e+102) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / t_2)); elseif (t_m <= 2.6e+202) tmp = Float64(2.0 / Float64(Float64(tan(k) * t_2) * Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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, 5.8e-46], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.6e+102], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.6e+202], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * t$95$2), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 5.8 \cdot 10^{-46}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{t\_2}\\
\mathbf{elif}\;t\_m \leq 2.6 \cdot 10^{+202}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot t\_2\right) \cdot \left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
\end{array}
if t < 5.80000000000000009e-46Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 5.80000000000000009e-46 < t < 5.60000000000000037e102Initial program 85.5%
Simplified85.5%
associate-*r*91.4%
*-un-lft-identity91.4%
times-frac94.2%
Applied egg-rr94.2%
/-rgt-identity94.2%
associate-*l/94.2%
associate-*r*97.1%
times-frac97.0%
associate-/r*97.1%
Simplified97.1%
if 5.60000000000000037e102 < t < 2.6000000000000002e202Initial program 44.4%
Simplified44.4%
add-sqr-sqrt29.6%
pow229.6%
*-commutative29.6%
sqrt-prod29.6%
sqrt-div29.6%
sqrt-pow143.7%
metadata-eval43.7%
sqrt-prod24.4%
add-sqr-sqrt52.9%
Applied egg-rr52.9%
*-commutative52.9%
Simplified52.9%
pow152.9%
*-commutative52.9%
associate-+r+52.9%
metadata-eval52.9%
*-commutative52.9%
unpow-prod-down52.9%
pow252.9%
add-sqr-sqrt81.8%
Applied egg-rr81.8%
unpow181.8%
Simplified81.8%
if 2.6000000000000002e202 < t Initial program 74.2%
Simplified74.2%
add-cube-cbrt74.2%
pow374.2%
*-commutative74.2%
cbrt-prod74.2%
cbrt-div74.2%
rem-cbrt-cube81.8%
cbrt-prod96.3%
pow296.3%
Applied egg-rr96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in k around 0 92.9%
Taylor expanded in k around 0 92.9%
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 (<= t_m 7.8e-47)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 5.6e+102)
(*
(* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k)))
(/ l (+ 2.0 (pow (/ k t_m) 2.0))))
(if (<= t_m 6.2e+202)
(/
2.0
(*
(* (sin k) (pow (/ (pow t_m 1.5) l) 2.0))
(/ (* 2.0 (sin k)) (cos k))))
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 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 <= 7.8e-47) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / (2.0 + pow((k / t_m), 2.0)));
} else if (t_m <= 6.2e+202) {
tmp = 2.0 / ((sin(k) * pow((pow(t_m, 1.5) / l), 2.0)) * ((2.0 * sin(k)) / cos(k)));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 <= 7.8e-47) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / (2.0 + Math.pow((k / t_m), 2.0)));
} else if (t_m <= 6.2e+202) {
tmp = 2.0 / ((Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)) * ((2.0 * Math.sin(k)) / Math.cos(k)));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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 <= 7.8e-47) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 5.6e+102) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); elseif (t_m <= 6.2e+202) tmp = Float64(2.0 / Float64(Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)) * Float64(Float64(2.0 * sin(k)) / cos(k)))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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, 7.8e-47], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.6e+102], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.2e+202], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[Sin[k], $MachinePrecision]), $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 7.8 \cdot 10^{-47}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{elif}\;t\_m \leq 6.2 \cdot 10^{+202}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right) \cdot \frac{2 \cdot \sin k}{\cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 7.79999999999999956e-47Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 7.79999999999999956e-47 < t < 5.60000000000000037e102Initial program 85.5%
Simplified85.5%
associate-*r*91.4%
*-un-lft-identity91.4%
times-frac94.2%
Applied egg-rr94.2%
/-rgt-identity94.2%
associate-*l/94.2%
associate-*r*97.1%
times-frac97.0%
associate-/r*97.1%
Simplified97.1%
if 5.60000000000000037e102 < t < 6.19999999999999983e202Initial program 44.4%
Simplified44.4%
add-sqr-sqrt29.6%
pow229.6%
*-commutative29.6%
sqrt-prod29.6%
sqrt-div29.6%
sqrt-pow143.7%
metadata-eval43.7%
sqrt-prod24.4%
add-sqr-sqrt52.9%
Applied egg-rr52.9%
*-commutative52.9%
Simplified52.9%
pow152.9%
*-commutative52.9%
associate-+r+52.9%
metadata-eval52.9%
*-commutative52.9%
unpow-prod-down52.9%
pow252.9%
add-sqr-sqrt81.8%
Applied egg-rr81.8%
unpow181.8%
Simplified81.8%
Taylor expanded in t around inf 72.9%
associate-*r/72.9%
Simplified72.9%
if 6.19999999999999983e202 < t Initial program 74.2%
Simplified74.2%
add-cube-cbrt74.2%
pow374.2%
*-commutative74.2%
cbrt-prod74.2%
cbrt-div74.2%
rem-cbrt-cube81.8%
cbrt-prod96.3%
pow296.3%
Applied egg-rr96.3%
*-commutative96.3%
Simplified96.3%
Taylor expanded in k around 0 92.9%
Taylor expanded in k around 0 92.9%
Final simplification72.5%
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 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<= t_m 1.35e-45)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 5.6e+102)
(*
(* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k)))
(/ l (+ 2.0 t_2)))
(if (<= t_m 1.08e+130)
(/
2.0
(*
(+ 1.0 (+ t_2 1.0))
(* (tan k) (* (sin k) (* (/ (pow t_m 2.0) l) (/ t_m l))))))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0)
(* 2.0 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 = pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.35e-45) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / (2.0 + t_2));
} else if (t_m <= 1.08e+130) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (tan(k) * (sin(k) * ((pow(t_m, 2.0) / l) * (t_m / l)))));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 = Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 1.35e-45) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 5.6e+102) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / (2.0 + t_2));
} else if (t_m <= 1.08e+130) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (Math.tan(k) * (Math.sin(k) * ((Math.pow(t_m, 2.0) / l) * (t_m / l)))));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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(k / t_m) ^ 2.0 tmp = 0.0 if (t_m <= 1.35e-45) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 5.6e+102) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / Float64(2.0 + t_2))); elseif (t_m <= 1.08e+130) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(t_2 + 1.0)) * Float64(tan(k) * Float64(sin(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l)))))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.35e-45], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.6e+102], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.08e+130], N[(2.0 / N[(N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.35 \cdot 10^{-45}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{elif}\;t\_m \leq 1.08 \cdot 10^{+130}:\\
\;\;\;\;\frac{2}{\left(1 + \left(t\_2 + 1\right)\right) \cdot \left(\tan k \cdot \left(\sin k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.34999999999999992e-45Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 1.34999999999999992e-45 < t < 5.60000000000000037e102Initial program 85.5%
Simplified85.5%
associate-*r*91.4%
*-un-lft-identity91.4%
times-frac94.2%
Applied egg-rr94.2%
/-rgt-identity94.2%
associate-*l/94.2%
associate-*r*97.1%
times-frac97.0%
associate-/r*97.1%
Simplified97.1%
if 5.60000000000000037e102 < t < 1.08e130Initial program 60.8%
unpow360.8%
times-frac99.7%
pow299.7%
Applied egg-rr99.7%
if 1.08e130 < t Initial program 61.2%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
*-commutative61.2%
cbrt-prod61.2%
cbrt-div61.2%
rem-cbrt-cube77.4%
cbrt-prod93.0%
pow293.0%
Applied egg-rr93.0%
*-commutative93.0%
Simplified93.0%
Taylor expanded in k around 0 84.4%
Taylor expanded in k around 0 84.5%
Final simplification72.9%
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 (<= t_m 8e-47)
(/ 2.0 (/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l))
(if (<= t_m 7.5e+118)
(*
(* (/ (/ 2.0 (pow t_m 3.0)) (sin k)) (/ l (tan k)))
(/ l (+ 2.0 (pow (/ k t_m) 2.0))))
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 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 <= 8e-47) {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
} else if (t_m <= 7.5e+118) {
tmp = (((2.0 / pow(t_m, 3.0)) / sin(k)) * (l / tan(k))) * (l / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 <= 8e-47) {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
} else if (t_m <= 7.5e+118) {
tmp = (((2.0 / Math.pow(t_m, 3.0)) / Math.sin(k)) * (l / Math.tan(k))) * (l / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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 <= 8e-47) tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); elseif (t_m <= 7.5e+118) tmp = Float64(Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) / sin(k)) * Float64(l / tan(k))) * Float64(l / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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, 8e-47], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.5e+118], N[(N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 8 \cdot 10^{-47}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{+118}:\\
\;\;\;\;\left(\frac{\frac{2}{{t\_m}^{3}}}{\sin k} \cdot \frac{\ell}{\tan k}\right) \cdot \frac{\ell}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 7.9999999999999998e-47Initial program 51.6%
Simplified51.7%
add-cube-cbrt51.7%
pow351.7%
cbrt-div51.6%
rem-cbrt-cube56.6%
Applied egg-rr56.6%
associate-*l/58.8%
add-cbrt-cube53.8%
unpow353.8%
cbrt-div53.8%
pow353.8%
add-cube-cbrt53.9%
metadata-eval53.9%
associate-+r+53.9%
associate-*l*53.9%
associate-+r+53.9%
metadata-eval53.9%
Applied egg-rr53.9%
Taylor expanded in t around 0 64.7%
if 7.9999999999999998e-47 < t < 7.50000000000000003e118Initial program 83.5%
Simplified83.5%
associate-*r*89.1%
*-un-lft-identity89.1%
times-frac91.8%
Applied egg-rr91.8%
/-rgt-identity91.8%
associate-*l/91.8%
associate-*r*94.5%
times-frac94.4%
associate-/r*94.5%
Simplified94.5%
if 7.50000000000000003e118 < t Initial program 61.7%
Simplified61.7%
add-cube-cbrt61.7%
pow361.7%
*-commutative61.7%
cbrt-prod61.7%
cbrt-div61.7%
rem-cbrt-cube78.8%
cbrt-prod93.4%
pow293.4%
Applied egg-rr93.4%
*-commutative93.4%
Simplified93.4%
Taylor expanded in k around 0 83.4%
Taylor expanded in k around 0 83.5%
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 (<= t_m 3.9e-115)
(/ 2.0 (pow (* (/ t_m (cbrt l)) (cbrt (/ (* 2.0 (pow k 2.0)) l))) 3.0))
(if (<= t_m 3400000000.0)
(/
2.0
(*
(/ (/ (pow t_m 3.0) l) l)
(* (* (sin k) (tan k)) (+ 2.0 (/ 1.0 (* (/ t_m k) (/ t_m k)))))))
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 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 <= 3.9e-115) {
tmp = 2.0 / pow(((t_m / cbrt(l)) * cbrt(((2.0 * pow(k, 2.0)) / l))), 3.0);
} else if (t_m <= 3400000000.0) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * ((sin(k) * tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 <= 3.9e-115) {
tmp = 2.0 / Math.pow(((t_m / Math.cbrt(l)) * Math.cbrt(((2.0 * Math.pow(k, 2.0)) / l))), 3.0);
} else if (t_m <= 3400000000.0) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * ((Math.sin(k) * Math.tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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 <= 3.9e-115) tmp = Float64(2.0 / (Float64(Float64(t_m / cbrt(l)) * cbrt(Float64(Float64(2.0 * (k ^ 2.0)) / l))) ^ 3.0)); elseif (t_m <= 3400000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(1.0 / Float64(Float64(t_m / k) * Float64(t_m / k))))))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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, 3.9e-115], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3400000000.0], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(1.0 / N[(N[(t$95$m / k), $MachinePrecision] * N[(t$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 3.9 \cdot 10^{-115}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{2 \cdot {k}^{2}}{\ell}}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 3400000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{1}{\frac{t\_m}{k} \cdot \frac{t\_m}{k}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 3.8999999999999998e-115Initial program 48.4%
Simplified47.9%
Taylor expanded in k around 0 51.4%
associate-*l/52.6%
Applied egg-rr52.6%
add-cube-cbrt52.6%
pow352.6%
associate-/l*52.5%
cbrt-prod52.5%
cbrt-div52.5%
unpow352.5%
add-cbrt-cube58.5%
Applied egg-rr58.5%
if 3.8999999999999998e-115 < t < 3.4e9Initial program 83.5%
Simplified88.5%
unpow288.5%
clear-num88.5%
clear-num88.5%
frac-times88.6%
metadata-eval88.6%
Applied egg-rr88.6%
if 3.4e9 < t Initial program 65.9%
Simplified65.9%
add-cube-cbrt65.8%
pow365.8%
*-commutative65.8%
cbrt-prod65.9%
cbrt-div67.4%
rem-cbrt-cube80.0%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
Taylor expanded in k around 0 80.3%
Taylor expanded in k around 0 82.0%
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 2.35e-138)
(/ 2.0 (* (* 2.0 (pow k 2.0)) (pow (* t_m (pow (cbrt l) -2.0)) 3.0)))
(if (<= t_m 2200000.0)
(/
2.0
(*
(/ (/ (pow t_m 3.0) l) l)
(* (* (sin k) (tan k)) (+ 2.0 (/ 1.0 (* (/ t_m k) (/ t_m k)))))))
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * pow((t_m * pow(cbrt(l), -2.0)), 3.0));
} else if (t_m <= 2200000.0) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * ((sin(k) * tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * 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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0));
} else if (t_m <= 2200000.0) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * ((Math.sin(k) * Math.tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * 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 <= 2.35e-138) tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * (Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0))); elseif (t_m <= 2200000.0) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(1.0 / Float64(Float64(t_m / k) * Float64(t_m / k))))))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * 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, 2.35e-138], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2200000.0], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(1.0 / N[(N[(t$95$m / k), $MachinePrecision] * N[(t$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $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 2.35 \cdot 10^{-138}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 2200000:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{1}{\frac{t\_m}{k} \cdot \frac{t\_m}{k}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.3500000000000001e-138Initial program 49.1%
Simplified48.5%
Taylor expanded in k around 0 52.1%
add-cube-cbrt52.1%
pow352.1%
associate-/l/45.3%
cbrt-div45.3%
unpow345.3%
add-cbrt-cube51.4%
cbrt-unprod57.4%
unpow257.4%
div-inv57.4%
unpow-prod-down44.6%
pow-flip44.6%
metadata-eval44.6%
Applied egg-rr44.6%
cube-prod57.4%
Simplified57.4%
if 2.3500000000000001e-138 < t < 2.2e6Initial program 76.5%
Simplified80.8%
unpow280.8%
clear-num80.8%
clear-num80.8%
frac-times80.9%
metadata-eval80.9%
Applied egg-rr80.9%
if 2.2e6 < t Initial program 65.9%
Simplified65.9%
add-cube-cbrt65.8%
pow365.8%
*-commutative65.8%
cbrt-prod65.9%
cbrt-div67.4%
rem-cbrt-cube80.0%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
Taylor expanded in k around 0 80.3%
Taylor expanded in k around 0 82.0%
Final simplification67.4%
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 0.016)
(/ 2.0 (* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 k)))
(/
2.0
(/ (/ (* (pow k 2.0) (* t_m (pow (sin k) 2.0))) (* l (cos k))) l)))))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 <= 0.016) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * k));
} else {
tmp = 2.0 / (((pow(k, 2.0) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))) / l);
}
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 <= 0.016) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * k));
} else {
tmp = 2.0 / (((Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))) / l);
}
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 <= 0.016) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * k))); else tmp = Float64(2.0 / Float64(Float64(Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))) / l)); 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, 0.016], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 0.016:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}{\ell}}\\
\end{array}
\end{array}
if k < 0.016Initial program 58.8%
Simplified58.8%
add-cube-cbrt58.7%
pow358.7%
*-commutative58.7%
cbrt-prod58.7%
cbrt-div59.6%
rem-cbrt-cube67.2%
cbrt-prod77.3%
pow277.3%
Applied egg-rr77.3%
*-commutative77.3%
Simplified77.3%
Taylor expanded in k around 0 71.7%
Taylor expanded in k around 0 74.2%
if 0.016 < k Initial program 54.3%
Simplified59.8%
add-cube-cbrt59.7%
pow359.7%
cbrt-div59.6%
rem-cbrt-cube65.0%
Applied egg-rr65.0%
associate-*l/63.5%
add-cbrt-cube58.1%
unpow358.1%
cbrt-div58.2%
pow358.2%
add-cube-cbrt58.2%
metadata-eval58.2%
associate-+r+58.2%
associate-*l*58.2%
associate-+r+58.2%
metadata-eval58.2%
Applied egg-rr58.2%
Taylor expanded in t around 0 68.0%
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 0.014)
(/ 2.0 (* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt k)) 3.0) (* 2.0 k)))
(/
2.0
(/ (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k)))) l)))))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 <= 0.014) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(k)), 3.0) * (2.0 * k));
} else {
tmp = 2.0 / ((pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))) / l);
}
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 <= 0.014) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(k)), 3.0) * (2.0 * k));
} else {
tmp = 2.0 / ((Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))) / l);
}
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 <= 0.014) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(k)) ^ 3.0) * Float64(2.0 * k))); else tmp = Float64(2.0 / Float64(Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))) / l)); 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, 0.014], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 0.014:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{{k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)}{\ell}}\\
\end{array}
\end{array}
if k < 0.0140000000000000003Initial program 58.8%
Simplified58.8%
add-cube-cbrt58.7%
pow358.7%
*-commutative58.7%
cbrt-prod58.7%
cbrt-div59.6%
rem-cbrt-cube67.2%
cbrt-prod77.3%
pow277.3%
Applied egg-rr77.3%
*-commutative77.3%
Simplified77.3%
Taylor expanded in k around 0 71.7%
Taylor expanded in k around 0 74.2%
if 0.0140000000000000003 < k Initial program 54.3%
Simplified59.8%
add-cube-cbrt59.7%
pow359.7%
cbrt-div59.6%
rem-cbrt-cube65.0%
Applied egg-rr65.0%
associate-*l/63.5%
add-cbrt-cube58.1%
unpow358.1%
cbrt-div58.2%
pow358.2%
add-cube-cbrt58.2%
metadata-eval58.2%
associate-+r+58.2%
associate-*l*58.2%
associate-+r+58.2%
metadata-eval58.2%
Applied egg-rr58.2%
Taylor expanded in t around 0 68.0%
associate-/l*67.1%
times-frac67.2%
Simplified67.2%
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 (<= t_m 2.35e-138)
(/ 2.0 (* (* 2.0 (pow k 2.0)) (pow (* t_m (pow (cbrt l) -2.0)) 3.0)))
(if (<= t_m 108000000.0)
(/
2.0
(*
(/ (/ (pow t_m 3.0) l) l)
(* (* (sin k) (tan k)) (+ 2.0 (/ 1.0 (* (/ t_m k) (/ t_m k)))))))
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow 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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * pow((t_m * pow(cbrt(l), -2.0)), 3.0));
} else if (t_m <= 108000000.0) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * ((sin(k) * tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0));
} else if (t_m <= 108000000.0) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * ((Math.sin(k) * Math.tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(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 <= 2.35e-138) tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * (Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0))); elseif (t_m <= 108000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(1.0 / Float64(Float64(t_m / k) * Float64(t_m / k))))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (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, 2.35e-138], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 108000000.0], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(1.0 / N[(N[(t$95$m / k), $MachinePrecision] * N[(t$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $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}\;t\_m \leq 2.35 \cdot 10^{-138}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 108000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{1}{\frac{t\_m}{k} \cdot \frac{t\_m}{k}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.3500000000000001e-138Initial program 49.1%
Simplified48.5%
Taylor expanded in k around 0 52.1%
add-cube-cbrt52.1%
pow352.1%
associate-/l/45.3%
cbrt-div45.3%
unpow345.3%
add-cbrt-cube51.4%
cbrt-unprod57.4%
unpow257.4%
div-inv57.4%
unpow-prod-down44.6%
pow-flip44.6%
metadata-eval44.6%
Applied egg-rr44.6%
cube-prod57.4%
Simplified57.4%
if 2.3500000000000001e-138 < t < 1.08e8Initial program 76.5%
Simplified80.8%
unpow280.8%
clear-num80.8%
clear-num80.8%
frac-times80.9%
metadata-eval80.9%
Applied egg-rr80.9%
if 1.08e8 < t Initial program 65.9%
Simplified65.9%
add-cube-cbrt65.8%
pow365.8%
*-commutative65.8%
cbrt-prod65.9%
cbrt-div67.4%
rem-cbrt-cube80.0%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
Taylor expanded in k around 0 80.3%
Taylor expanded in k around 0 72.6%
Final simplification65.1%
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 2.35e-138)
(/ 2.0 (* (* 2.0 (pow k 2.0)) (* (pow t_m 1.5) (/ (/ (pow t_m 1.5) l) l))))
(if (<= t_m 2900000000.0)
(/
2.0
(*
(/ (/ (pow t_m 3.0) l) l)
(* (* (sin k) (tan k)) (+ 2.0 (/ 1.0 (* (/ t_m k) (/ t_m k)))))))
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow 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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * (pow(t_m, 1.5) * ((pow(t_m, 1.5) / l) / l)));
} else if (t_m <= 2900000000.0) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * ((sin(k) * tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * (Math.pow(t_m, 1.5) * ((Math.pow(t_m, 1.5) / l) / l)));
} else if (t_m <= 2900000000.0) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * ((Math.sin(k) * Math.tan(k)) * (2.0 + (1.0 / ((t_m / k) * (t_m / k))))));
} else {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(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 <= 2.35e-138) tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64((t_m ^ 1.5) * Float64(Float64((t_m ^ 1.5) / l) / l)))); elseif (t_m <= 2900000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(1.0 / Float64(Float64(t_m / k) * Float64(t_m / k))))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (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, 2.35e-138], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2900000000.0], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(1.0 / N[(N[(t$95$m / k), $MachinePrecision] * N[(t$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $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}\;t\_m \leq 2.35 \cdot 10^{-138}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \left({t\_m}^{1.5} \cdot \frac{\frac{{t\_m}^{1.5}}{\ell}}{\ell}\right)}\\
\mathbf{elif}\;t\_m \leq 2900000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{1}{\frac{t\_m}{k} \cdot \frac{t\_m}{k}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.3500000000000001e-138Initial program 49.1%
Simplified48.5%
Taylor expanded in k around 0 52.1%
sqr-pow10.7%
*-un-lft-identity10.7%
times-frac11.4%
metadata-eval11.4%
metadata-eval11.4%
Applied egg-rr11.4%
/-rgt-identity11.4%
associate-/l*13.4%
Applied egg-rr13.4%
if 2.3500000000000001e-138 < t < 2.9e9Initial program 76.5%
Simplified80.8%
unpow280.8%
clear-num80.8%
clear-num80.8%
frac-times80.9%
metadata-eval80.9%
Applied egg-rr80.9%
if 2.9e9 < t Initial program 65.9%
Simplified65.9%
add-cube-cbrt65.8%
pow365.8%
*-commutative65.8%
cbrt-prod65.9%
cbrt-div67.4%
rem-cbrt-cube80.0%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
Taylor expanded in k around 0 80.3%
Taylor expanded in k around 0 72.6%
Final simplification39.3%
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 (<= t_m 2.35e-138)
(/ 2.0 (* (* 2.0 (pow k 2.0)) (* (pow t_m 1.5) (/ (/ (pow t_m 1.5) l) l))))
(if (<= t_m 6100000000.0)
(/
2.0
(*
(/ (/ (pow t_m 3.0) l) l)
(* (* (sin k) (tan k)) (+ 2.0 (/ (/ k t_m) (/ t_m k))))))
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow 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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * (pow(t_m, 1.5) * ((pow(t_m, 1.5) / l) / l)));
} else if (t_m <= 6100000000.0) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * ((sin(k) * tan(k)) * (2.0 + ((k / t_m) / (t_m / k)))));
} else {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(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 <= 2.35e-138) {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * (Math.pow(t_m, 1.5) * ((Math.pow(t_m, 1.5) / l) / l)));
} else if (t_m <= 6100000000.0) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * ((Math.sin(k) * Math.tan(k)) * (2.0 + ((k / t_m) / (t_m / k)))));
} else {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(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 <= 2.35e-138) tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64((t_m ^ 1.5) * Float64(Float64((t_m ^ 1.5) / l) / l)))); elseif (t_m <= 6100000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + Float64(Float64(k / t_m) / Float64(t_m / k)))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (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, 2.35e-138], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6100000000.0], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[(N[(k / t$95$m), $MachinePrecision] / N[(t$95$m / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $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}\;t\_m \leq 2.35 \cdot 10^{-138}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \left({t\_m}^{1.5} \cdot \frac{\frac{{t\_m}^{1.5}}{\ell}}{\ell}\right)}\\
\mathbf{elif}\;t\_m \leq 6100000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + \frac{\frac{k}{t\_m}}{\frac{t\_m}{k}}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.3500000000000001e-138Initial program 49.1%
Simplified48.5%
Taylor expanded in k around 0 52.1%
sqr-pow10.7%
*-un-lft-identity10.7%
times-frac11.4%
metadata-eval11.4%
metadata-eval11.4%
Applied egg-rr11.4%
/-rgt-identity11.4%
associate-/l*13.4%
Applied egg-rr13.4%
if 2.3500000000000001e-138 < t < 6.1e9Initial program 76.5%
Simplified80.8%
unpow280.8%
clear-num80.8%
un-div-inv80.8%
Applied egg-rr80.8%
if 6.1e9 < t Initial program 65.9%
Simplified65.9%
add-cube-cbrt65.8%
pow365.8%
*-commutative65.8%
cbrt-prod65.9%
cbrt-div67.4%
rem-cbrt-cube80.0%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
*-commutative93.5%
Simplified93.5%
Taylor expanded in k around 0 80.3%
Taylor expanded in k around 0 72.6%
Final simplification39.3%
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 1.8e-14)
(/ 2.0 (* (* (sin k) (pow (/ (pow t_m 1.5) l) 2.0)) (* 2.0 k)))
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow 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 (k <= 1.8e-14) {
tmp = 2.0 / ((sin(k) * pow((pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
} else {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(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 (k <= 1.8e-14) {
tmp = 2.0 / ((Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
} else {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(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 (k <= 1.8e-14) tmp = Float64(2.0 / Float64(Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)) * Float64(2.0 * k))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (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[k, 1.8e-14], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $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 1.8 \cdot 10^{-14}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right) \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\end{array}
\end{array}
if k < 1.7999999999999999e-14Initial program 58.8%
Simplified58.8%
add-sqr-sqrt25.0%
pow225.0%
*-commutative25.0%
sqrt-prod8.9%
sqrt-div8.9%
sqrt-pow110.0%
metadata-eval10.0%
sqrt-prod5.8%
add-sqr-sqrt13.6%
Applied egg-rr13.6%
*-commutative13.6%
Simplified13.6%
pow113.6%
*-commutative13.6%
associate-+r+13.6%
metadata-eval13.6%
*-commutative13.6%
unpow-prod-down13.1%
pow213.1%
add-sqr-sqrt38.9%
Applied egg-rr38.9%
unpow138.9%
Simplified38.9%
Taylor expanded in k around 0 36.1%
if 1.7999999999999999e-14 < k Initial program 54.8%
Simplified54.8%
add-cube-cbrt54.8%
pow354.8%
*-commutative54.8%
cbrt-prod54.7%
cbrt-div54.7%
rem-cbrt-cube63.1%
cbrt-prod73.7%
pow273.7%
Applied egg-rr73.7%
*-commutative73.7%
Simplified73.7%
Taylor expanded in k around 0 50.1%
Taylor expanded in k around 0 57.7%
Final simplification41.3%
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 1.35e-12)
(/ 2.0 (* (* (sin k) (pow (/ (pow t_m 1.5) l) 2.0)) (* 2.0 k)))
(/ 2.0 (* (* 2.0 (pow k 2.0)) (/ (pow (/ t_m (cbrt l)) 3.0) l))))))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 <= 1.35e-12) {
tmp = 2.0 / ((sin(k) * pow((pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * (pow((t_m / cbrt(l)), 3.0) / l));
}
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 <= 1.35e-12) {
tmp = 2.0 / ((Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * (Math.pow((t_m / Math.cbrt(l)), 3.0) / l));
}
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 <= 1.35e-12) tmp = Float64(2.0 / Float64(Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)) * Float64(2.0 * k))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64((Float64(t_m / cbrt(l)) ^ 3.0) / l))); 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, 1.35e-12], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / l), $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 1.35 \cdot 10^{-12}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right) \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{{\left(\frac{t\_m}{\sqrt[3]{\ell}}\right)}^{3}}{\ell}}\\
\end{array}
\end{array}
if k < 1.3499999999999999e-12Initial program 58.7%
Simplified58.7%
add-sqr-sqrt24.7%
pow224.7%
*-commutative24.7%
sqrt-prod8.9%
sqrt-div8.9%
sqrt-pow19.9%
metadata-eval9.9%
sqrt-prod5.7%
add-sqr-sqrt13.4%
Applied egg-rr13.4%
*-commutative13.4%
Simplified13.4%
pow113.4%
*-commutative13.4%
associate-+r+13.4%
metadata-eval13.4%
*-commutative13.4%
unpow-prod-down12.9%
pow212.9%
add-sqr-sqrt38.5%
Applied egg-rr38.5%
unpow138.5%
Simplified38.5%
Taylor expanded in k around 0 35.7%
if 1.3499999999999999e-12 < k Initial program 54.9%
Simplified60.1%
Taylor expanded in k around 0 56.1%
add-cube-cbrt60.0%
pow360.0%
cbrt-div60.0%
rem-cbrt-cube65.1%
Applied egg-rr56.1%
Final simplification40.5%
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 (<= t_m 3.7e+27)
(/ 2.0 (/ (* 2.0 (* (pow t_m 3.0) (/ (pow k 2.0) l))) l))
(/ 2.0 (* (* (sin k) (pow (/ (pow t_m 1.5) l) 2.0)) (* 2.0 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 <= 3.7e+27) {
tmp = 2.0 / ((2.0 * (pow(t_m, 3.0) * (pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / ((sin(k) * pow((pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
}
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 (t_m <= 3.7d+27) then
tmp = 2.0d0 / ((2.0d0 * ((t_m ** 3.0d0) * ((k ** 2.0d0) / l))) / l)
else
tmp = 2.0d0 / ((sin(k) * (((t_m ** 1.5d0) / l) ** 2.0d0)) * (2.0d0 * k))
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 (t_m <= 3.7e+27) {
tmp = 2.0 / ((2.0 * (Math.pow(t_m, 3.0) * (Math.pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / ((Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)) * (2.0 * k));
}
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 t_m <= 3.7e+27: tmp = 2.0 / ((2.0 * (math.pow(t_m, 3.0) * (math.pow(k, 2.0) / l))) / l) else: tmp = 2.0 / ((math.sin(k) * math.pow((math.pow(t_m, 1.5) / l), 2.0)) * (2.0 * 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 <= 3.7e+27) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64((t_m ^ 3.0) * Float64((k ^ 2.0) / l))) / l)); else tmp = Float64(2.0 / Float64(Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)) * Float64(2.0 * k))); 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 (t_m <= 3.7e+27) tmp = 2.0 / ((2.0 * ((t_m ^ 3.0) * ((k ^ 2.0) / l))) / l); else tmp = 2.0 / ((sin(k) * (((t_m ^ 1.5) / l) ^ 2.0)) * (2.0 * k)); 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[t$95$m, 3.7e+27], N[(2.0 / N[(N[(2.0 * N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(2.0 * k), $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 3.7 \cdot 10^{+27}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left({t\_m}^{3} \cdot \frac{{k}^{2}}{\ell}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right) \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 3.70000000000000002e27Initial program 55.4%
Simplified55.9%
Taylor expanded in k around 0 56.9%
associate-*l/57.9%
Applied egg-rr57.9%
Taylor expanded in t around 0 57.0%
*-commutative57.0%
associate-/l*57.9%
Simplified57.9%
if 3.70000000000000002e27 < t Initial program 65.7%
Simplified65.7%
add-sqr-sqrt30.4%
pow230.4%
*-commutative30.4%
sqrt-prod30.4%
sqrt-div30.4%
sqrt-pow135.4%
metadata-eval35.4%
sqrt-prod16.9%
add-sqr-sqrt40.4%
Applied egg-rr40.4%
*-commutative40.4%
Simplified40.4%
pow140.4%
*-commutative40.4%
associate-+r+40.4%
metadata-eval40.4%
*-commutative40.4%
unpow-prod-down40.4%
pow240.4%
add-sqr-sqrt82.4%
Applied egg-rr82.4%
unpow182.4%
Simplified82.4%
Taylor expanded in k around 0 71.4%
Final simplification61.1%
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 7e+21)
(/ 2.0 (/ (* 2.0 (* (pow t_m 3.0) (/ (pow k 2.0) l))) l))
(/ 2.0 (* 2.0 (/ (* k (* (sin k) (pow t_m 3.0))) (pow l 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 (t_m <= 7e+21) {
tmp = 2.0 / ((2.0 * (pow(t_m, 3.0) * (pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / (2.0 * ((k * (sin(k) * pow(t_m, 3.0))) / pow(l, 2.0)));
}
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 (t_m <= 7d+21) then
tmp = 2.0d0 / ((2.0d0 * ((t_m ** 3.0d0) * ((k ** 2.0d0) / l))) / l)
else
tmp = 2.0d0 / (2.0d0 * ((k * (sin(k) * (t_m ** 3.0d0))) / (l ** 2.0d0)))
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 (t_m <= 7e+21) {
tmp = 2.0 / ((2.0 * (Math.pow(t_m, 3.0) * (Math.pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / (2.0 * ((k * (Math.sin(k) * Math.pow(t_m, 3.0))) / Math.pow(l, 2.0)));
}
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 t_m <= 7e+21: tmp = 2.0 / ((2.0 * (math.pow(t_m, 3.0) * (math.pow(k, 2.0) / l))) / l) else: tmp = 2.0 / (2.0 * ((k * (math.sin(k) * math.pow(t_m, 3.0))) / math.pow(l, 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 (t_m <= 7e+21) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64((t_m ^ 3.0) * Float64((k ^ 2.0) / l))) / l)); else tmp = Float64(2.0 / Float64(2.0 * Float64(Float64(k * Float64(sin(k) * (t_m ^ 3.0))) / (l ^ 2.0)))); 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 (t_m <= 7e+21) tmp = 2.0 / ((2.0 * ((t_m ^ 3.0) * ((k ^ 2.0) / l))) / l); else tmp = 2.0 / (2.0 * ((k * (sin(k) * (t_m ^ 3.0))) / (l ^ 2.0))); 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[t$95$m, 7e+21], N[(2.0 / N[(N[(2.0 * N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(2.0 * N[(N[(k * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[l, 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}\;t\_m \leq 7 \cdot 10^{+21}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left({t\_m}^{3} \cdot \frac{{k}^{2}}{\ell}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{2 \cdot \frac{k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}{{\ell}^{2}}}\\
\end{array}
\end{array}
if t < 7e21Initial program 55.4%
Simplified55.9%
Taylor expanded in k around 0 56.9%
associate-*l/57.9%
Applied egg-rr57.9%
Taylor expanded in t around 0 57.0%
*-commutative57.0%
associate-/l*57.9%
Simplified57.9%
if 7e21 < t Initial program 65.7%
Simplified65.7%
add-cube-cbrt65.6%
pow365.6%
*-commutative65.6%
cbrt-prod65.7%
cbrt-div67.3%
rem-cbrt-cube80.5%
cbrt-prod94.6%
pow294.6%
Applied egg-rr94.6%
*-commutative94.6%
Simplified94.6%
Taylor expanded in k around 0 82.4%
Taylor expanded in t around 0 65.6%
Final simplification59.7%
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 1.7e-169)
(/ 2.0 (* (* 2.0 k) (* (sin k) (/ (pow t_m 3.0) (* l l)))))
(/ 2.0 (/ (* (* 2.0 (pow k 2.0)) (* (pow t_m 2.0) (/ t_m l))) l)))))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 <= 1.7e-169) {
tmp = 2.0 / ((2.0 * k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
} else {
tmp = 2.0 / (((2.0 * pow(k, 2.0)) * (pow(t_m, 2.0) * (t_m / l))) / l);
}
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 <= 1.7d-169) then
tmp = 2.0d0 / ((2.0d0 * k) * (sin(k) * ((t_m ** 3.0d0) / (l * l))))
else
tmp = 2.0d0 / (((2.0d0 * (k ** 2.0d0)) * ((t_m ** 2.0d0) * (t_m / l))) / l)
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 <= 1.7e-169) {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
} else {
tmp = 2.0 / (((2.0 * Math.pow(k, 2.0)) * (Math.pow(t_m, 2.0) * (t_m / l))) / l);
}
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 <= 1.7e-169: tmp = 2.0 / ((2.0 * k) * (math.sin(k) * (math.pow(t_m, 3.0) / (l * l)))) else: tmp = 2.0 / (((2.0 * math.pow(k, 2.0)) * (math.pow(t_m, 2.0) * (t_m / l))) / l) 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 <= 1.7e-169) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))); else tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * (k ^ 2.0)) * Float64((t_m ^ 2.0) * Float64(t_m / l))) / l)); 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 <= 1.7e-169) tmp = 2.0 / ((2.0 * k) * (sin(k) * ((t_m ^ 3.0) / (l * l)))); else tmp = 2.0 / (((2.0 * (k ^ 2.0)) * ((t_m ^ 2.0) * (t_m / l))) / l); 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, 1.7e-169], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 1.7 \cdot 10^{-169}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(2 \cdot {k}^{2}\right) \cdot \left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if k < 1.7e-169Initial program 60.4%
Simplified60.4%
Taylor expanded in k around 0 56.8%
if 1.7e-169 < k Initial program 52.9%
Simplified62.1%
Taylor expanded in k around 0 65.0%
associate-*l/66.1%
Applied egg-rr66.1%
unpow366.1%
*-un-lft-identity66.1%
times-frac66.1%
pow266.1%
Applied egg-rr66.1%
Final simplification60.1%
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 3.4e+27)
(/ 2.0 (/ (* 2.0 (* (pow t_m 3.0) (/ (pow k 2.0) l))) l))
(/ 2.0 (* (* 2.0 k) (* (sin k) (/ (pow t_m 3.0) (* l l))))))))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 <= 3.4e+27) {
tmp = 2.0 / ((2.0 * (pow(t_m, 3.0) * (pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / ((2.0 * k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
}
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 (t_m <= 3.4d+27) then
tmp = 2.0d0 / ((2.0d0 * ((t_m ** 3.0d0) * ((k ** 2.0d0) / l))) / l)
else
tmp = 2.0d0 / ((2.0d0 * k) * (sin(k) * ((t_m ** 3.0d0) / (l * l))))
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 (t_m <= 3.4e+27) {
tmp = 2.0 / ((2.0 * (Math.pow(t_m, 3.0) * (Math.pow(k, 2.0) / l))) / l);
} else {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
}
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 t_m <= 3.4e+27: tmp = 2.0 / ((2.0 * (math.pow(t_m, 3.0) * (math.pow(k, 2.0) / l))) / l) else: tmp = 2.0 / ((2.0 * k) * (math.sin(k) * (math.pow(t_m, 3.0) / (l * l)))) 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 <= 3.4e+27) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64((t_m ^ 3.0) * Float64((k ^ 2.0) / l))) / l)); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))); 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 (t_m <= 3.4e+27) tmp = 2.0 / ((2.0 * ((t_m ^ 3.0) * ((k ^ 2.0) / l))) / l); else tmp = 2.0 / ((2.0 * k) * (sin(k) * ((t_m ^ 3.0) / (l * l)))); 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[t$95$m, 3.4e+27], N[(2.0 / N[(N[(2.0 * N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $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}\;t\_m \leq 3.4 \cdot 10^{+27}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left({t\_m}^{3} \cdot \frac{{k}^{2}}{\ell}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 3.4e27Initial program 55.4%
Simplified55.9%
Taylor expanded in k around 0 56.9%
associate-*l/57.9%
Applied egg-rr57.9%
Taylor expanded in t around 0 57.0%
*-commutative57.0%
associate-/l*57.9%
Simplified57.9%
if 3.4e27 < t Initial program 65.7%
Simplified65.7%
Taylor expanded in k around 0 64.0%
Final simplification59.4%
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 (/ 2.0 (/ (* 2.0 (* (pow t_m 3.0) (/ (pow k 2.0) l))) 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 * (pow(t_m, 3.0) * (pow(k, 2.0) / l))) / 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 * ((t_m ** 3.0d0) * ((k ** 2.0d0) / l))) / 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 * (Math.pow(t_m, 3.0) * (Math.pow(k, 2.0) / l))) / 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 * (math.pow(t_m, 3.0) * (math.pow(k, 2.0) / l))) / 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((t_m ^ 3.0) * Float64((k ^ 2.0) / l))) / 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 * ((t_m ^ 3.0) * ((k ^ 2.0) / l))) / 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[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{2 \cdot \left({t\_m}^{3} \cdot \frac{{k}^{2}}{\ell}\right)}{\ell}}
\end{array}
Initial program 57.8%
Simplified57.0%
Taylor expanded in k around 0 57.0%
associate-*l/57.8%
Applied egg-rr57.8%
Taylor expanded in t around 0 57.2%
*-commutative57.2%
associate-/l*57.8%
Simplified57.8%
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 (pow k 2.0)) l) (/ (pow t_m 3.0) 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 * pow(k, 2.0)) / l) * (pow(t_m, 3.0) / 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 ** 2.0d0)) / l) * ((t_m ** 3.0d0) / 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 * Math.pow(k, 2.0)) / l) * (Math.pow(t_m, 3.0) / 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 * math.pow(k, 2.0)) / l) * (math.pow(t_m, 3.0) / 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(Float64(2.0 * (k ^ 2.0)) / l) * Float64((t_m ^ 3.0) / 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 ^ 2.0)) / l) * ((t_m ^ 3.0) / 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[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $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}{\frac{2 \cdot {k}^{2}}{\ell} \cdot \frac{{t\_m}^{3}}{\ell}}
\end{array}
Initial program 57.8%
Simplified57.0%
Taylor expanded in k around 0 57.0%
associate-*l/57.8%
Applied egg-rr57.8%
associate-/l*57.7%
Applied egg-rr57.7%
Final simplification57.7%
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 (/ 2.0 (* (/ (pow t_m 3.0) l) (* (pow k 2.0) (/ 2.0 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 / ((pow(t_m, 3.0) / l) * (pow(k, 2.0) * (2.0 / 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 / (((t_m ** 3.0d0) / l) * ((k ** 2.0d0) * (2.0d0 / 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 / ((Math.pow(t_m, 3.0) / l) * (Math.pow(k, 2.0) * (2.0 / 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 / ((math.pow(t_m, 3.0) / l) * (math.pow(k, 2.0) * (2.0 / 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((t_m ^ 3.0) / l) * Float64((k ^ 2.0) * Float64(2.0 / 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 / (((t_m ^ 3.0) / l) * ((k ^ 2.0) * (2.0 / 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[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(2.0 / 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}{\frac{{t\_m}^{3}}{\ell} \cdot \left({k}^{2} \cdot \frac{2}{\ell}\right)}
\end{array}
Initial program 57.8%
Simplified57.0%
Taylor expanded in k around 0 57.0%
associate-*l/57.8%
Applied egg-rr57.8%
associate-/l*57.7%
Applied egg-rr57.7%
Taylor expanded in k around 0 57.7%
associate-*r/57.7%
*-commutative57.7%
associate-/l*57.7%
Simplified57.7%
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 (/ 2.0 (* (* 2.0 (pow k 2.0)) (/ (/ (pow t_m 3.0) l) 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 * pow(k, 2.0)) * ((pow(t_m, 3.0) / l) / 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 ** 2.0d0)) * (((t_m ** 3.0d0) / l) / 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 * Math.pow(k, 2.0)) * ((Math.pow(t_m, 3.0) / l) / 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 * math.pow(k, 2.0)) * ((math.pow(t_m, 3.0) / l) / 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 * (k ^ 2.0)) * Float64(Float64((t_m ^ 3.0) / l) / 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 ^ 2.0)) * (((t_m ^ 3.0) / l) / 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[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $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 {k}^{2}\right) \cdot \frac{\frac{{t\_m}^{3}}{\ell}}{\ell}}
\end{array}
Initial program 57.8%
Simplified57.0%
Taylor expanded in k around 0 57.0%
Final simplification57.0%
herbie shell --seed 2024090
(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))))