
(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 26 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 (/ t_m (pow (cbrt l) 2.0)))
(t_3 (hypot 1.0 (hypot 1.0 (/ k t_m))))
(t_4 (/ l t_3)))
(*
t_s
(if (<= t_m 2.45e-185)
(*
2.0
(* (pow k -2.0) (* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m)))))
(if (<= t_m 2.2e-83)
(/
2.0
(pow
(* t_2 (cbrt (* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))))
3.0))
(if (<= t_m 2.7e+82)
(* t_4 (* (/ 2.0 (* (pow t_m 3.0) (* (sin k) (tan k)))) t_4))
(/
2.0
(*
(pow (* t_2 (cbrt (sin k))) 3.0)
(* (tan k) (pow t_3 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 t_2 = t_m / pow(cbrt(l), 2.0);
double t_3 = hypot(1.0, hypot(1.0, (k / t_m)));
double t_4 = l / t_3;
double tmp;
if (t_m <= 2.45e-185) {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
} else if (t_m <= 2.2e-83) {
tmp = 2.0 / pow((t_2 * cbrt((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))))), 3.0);
} else if (t_m <= 2.7e+82) {
tmp = t_4 * ((2.0 / (pow(t_m, 3.0) * (sin(k) * tan(k)))) * t_4);
} else {
tmp = 2.0 / (pow((t_2 * cbrt(sin(k))), 3.0) * (tan(k) * pow(t_3, 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = t_m / Math.pow(Math.cbrt(l), 2.0);
double t_3 = Math.hypot(1.0, Math.hypot(1.0, (k / t_m)));
double t_4 = l / t_3;
double tmp;
if (t_m <= 2.45e-185) {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
} else if (t_m <= 2.2e-83) {
tmp = 2.0 / Math.pow((t_2 * Math.cbrt((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
} else if (t_m <= 2.7e+82) {
tmp = t_4 * ((2.0 / (Math.pow(t_m, 3.0) * (Math.sin(k) * Math.tan(k)))) * t_4);
} else {
tmp = 2.0 / (Math.pow((t_2 * Math.cbrt(Math.sin(k))), 3.0) * (Math.tan(k) * Math.pow(t_3, 2.0)));
}
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(t_m / (cbrt(l) ^ 2.0)) t_3 = hypot(1.0, hypot(1.0, Float64(k / t_m))) t_4 = Float64(l / t_3) tmp = 0.0 if (t_m <= 2.45e-185) tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); elseif (t_m <= 2.2e-83) tmp = Float64(2.0 / (Float64(t_2 * cbrt(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); elseif (t_m <= 2.7e+82) tmp = Float64(t_4 * Float64(Float64(2.0 / Float64((t_m ^ 3.0) * Float64(sin(k) * tan(k)))) * t_4)); else tmp = Float64(2.0 / Float64((Float64(t_2 * cbrt(sin(k))) ^ 3.0) * Float64(tan(k) * (t_3 ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]}, Block[{t$95$4 = N[(l / t$95$3), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.45e-185], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.2e-83], N[(2.0 / N[Power[N[(t$95$2 * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.7e+82], N[(t$95$4 * N[(N[(2.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$2 * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[Power[t$95$3, 2.0], $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 := \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\\
t_3 := \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)\\
t_4 := \frac{\ell}{t\_3}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.45 \cdot 10^{-185}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\mathbf{elif}\;t\_m \leq 2.2 \cdot 10^{-83}:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 2.7 \cdot 10^{+82}:\\
\;\;\;\;t\_4 \cdot \left(\frac{2}{{t\_m}^{3} \cdot \left(\sin k \cdot \tan k\right)} \cdot t\_4\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(\tan k \cdot {t\_3}^{2}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 2.4500000000000001e-185Initial program 54.5%
Simplified54.5%
Taylor expanded in t around 0 68.0%
associate-*r/68.0%
times-frac66.8%
times-frac68.8%
Simplified68.8%
pow168.8%
div-inv68.8%
pow-flip69.6%
metadata-eval69.6%
div-inv69.5%
pow-flip69.5%
metadata-eval69.5%
Applied egg-rr69.5%
unpow169.5%
associate-*l*69.5%
associate-*l/68.2%
associate-/l*67.6%
associate-/l*67.6%
Simplified67.6%
if 2.4500000000000001e-185 < t < 2.20000000000000008e-83Initial program 36.7%
Simplified36.7%
associate-*l*36.8%
associate-/r*45.7%
associate-+r+45.7%
metadata-eval45.7%
associate-*l*45.7%
add-cube-cbrt45.5%
pow345.6%
Applied egg-rr73.0%
if 2.20000000000000008e-83 < t < 2.6999999999999999e82Initial program 66.7%
Simplified54.8%
associate-*r*57.3%
add-sqr-sqrt57.2%
times-frac62.8%
Applied egg-rr73.7%
associate-/l*81.5%
associate-*l*81.7%
Simplified81.7%
if 2.6999999999999999e82 < t Initial program 52.9%
Simplified52.9%
add-cube-cbrt52.9%
pow352.9%
associate-/r*65.8%
*-commutative65.8%
cbrt-prod65.8%
associate-/r*52.9%
cbrt-div56.7%
rem-cbrt-cube67.3%
cbrt-prod96.3%
pow296.3%
Applied egg-rr96.3%
add-sqr-sqrt56.4%
pow256.4%
associate-+r+56.4%
metadata-eval56.4%
sqrt-prod56.5%
metadata-eval56.5%
associate-+r+56.5%
add-sqr-sqrt56.5%
hypot-1-def56.5%
unpow256.5%
hypot-1-def56.5%
Applied egg-rr56.5%
unpow256.5%
swap-sqr56.5%
rem-square-sqrt96.3%
unpow296.3%
Simplified96.3%
Final simplification75.5%
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 (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))
(t_3 (/ l (hypot 1.0 (hypot 1.0 (/ k t_m)))))
(t_4 (/ t_m (pow (cbrt l) 2.0))))
(*
t_s
(if (<= t_m 5.8e-185)
(*
2.0
(* (pow k -2.0) (* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m)))))
(if (<= t_m 2.95e-83)
(/ 2.0 (pow (* t_4 (cbrt (* (sin k) t_2))) 3.0))
(if (<= t_m 2.05e+82)
(* t_3 (* (/ 2.0 (* (pow t_m 3.0) (* (sin k) (tan k)))) t_3))
(/ 2.0 (* t_2 (pow (* t_4 (cbrt (sin k))) 3.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = tan(k) * (2.0 + pow((k / t_m), 2.0));
double t_3 = l / hypot(1.0, hypot(1.0, (k / t_m)));
double t_4 = t_m / pow(cbrt(l), 2.0);
double tmp;
if (t_m <= 5.8e-185) {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
} else if (t_m <= 2.95e-83) {
tmp = 2.0 / pow((t_4 * cbrt((sin(k) * t_2))), 3.0);
} else if (t_m <= 2.05e+82) {
tmp = t_3 * ((2.0 / (pow(t_m, 3.0) * (sin(k) * tan(k)))) * t_3);
} else {
tmp = 2.0 / (t_2 * pow((t_4 * cbrt(sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0));
double t_3 = l / Math.hypot(1.0, Math.hypot(1.0, (k / t_m)));
double t_4 = t_m / Math.pow(Math.cbrt(l), 2.0);
double tmp;
if (t_m <= 5.8e-185) {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
} else if (t_m <= 2.95e-83) {
tmp = 2.0 / Math.pow((t_4 * Math.cbrt((Math.sin(k) * t_2))), 3.0);
} else if (t_m <= 2.05e+82) {
tmp = t_3 * ((2.0 / (Math.pow(t_m, 3.0) * (Math.sin(k) * Math.tan(k)))) * t_3);
} else {
tmp = 2.0 / (t_2 * Math.pow((t_4 * Math.cbrt(Math.sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) t_3 = Float64(l / hypot(1.0, hypot(1.0, Float64(k / t_m)))) t_4 = Float64(t_m / (cbrt(l) ^ 2.0)) tmp = 0.0 if (t_m <= 5.8e-185) tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); elseif (t_m <= 2.95e-83) tmp = Float64(2.0 / (Float64(t_4 * cbrt(Float64(sin(k) * t_2))) ^ 3.0)); elseif (t_m <= 2.05e+82) tmp = Float64(t_3 * Float64(Float64(2.0 / Float64((t_m ^ 3.0) * Float64(sin(k) * tan(k)))) * t_3)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(t_4 * cbrt(sin(k))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(l / N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5.8e-185], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.95e-83], N[(2.0 / N[Power[N[(t$95$4 * N[Power[N[(N[Sin[k], $MachinePrecision] * t$95$2), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.05e+82], N[(t$95$3 * N[(N[(2.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(t$95$4 * N[Power[N[Sin[k], $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)
\\
\begin{array}{l}
t_2 := \tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\\
t_3 := \frac{\ell}{\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)}\\
t_4 := \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.8 \cdot 10^{-185}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\mathbf{elif}\;t\_m \leq 2.95 \cdot 10^{-83}:\\
\;\;\;\;\frac{2}{{\left(t\_4 \cdot \sqrt[3]{\sin k \cdot t\_2}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 2.05 \cdot 10^{+82}:\\
\;\;\;\;t\_3 \cdot \left(\frac{2}{{t\_m}^{3} \cdot \left(\sin k \cdot \tan k\right)} \cdot t\_3\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_2 \cdot {\left(t\_4 \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 5.79999999999999989e-185Initial program 54.5%
Simplified54.5%
Taylor expanded in t around 0 68.0%
associate-*r/68.0%
times-frac66.8%
times-frac68.8%
Simplified68.8%
pow168.8%
div-inv68.8%
pow-flip69.6%
metadata-eval69.6%
div-inv69.5%
pow-flip69.5%
metadata-eval69.5%
Applied egg-rr69.5%
unpow169.5%
associate-*l*69.5%
associate-*l/68.2%
associate-/l*67.6%
associate-/l*67.6%
Simplified67.6%
if 5.79999999999999989e-185 < t < 2.9499999999999998e-83Initial program 36.7%
Simplified36.7%
associate-*l*36.8%
associate-/r*45.7%
associate-+r+45.7%
metadata-eval45.7%
associate-*l*45.7%
add-cube-cbrt45.5%
pow345.6%
Applied egg-rr73.0%
if 2.9499999999999998e-83 < t < 2.04999999999999998e82Initial program 66.7%
Simplified54.8%
associate-*r*57.3%
add-sqr-sqrt57.2%
times-frac62.8%
Applied egg-rr73.7%
associate-/l*81.5%
associate-*l*81.7%
Simplified81.7%
if 2.04999999999999998e82 < t Initial program 52.9%
Simplified52.9%
add-cube-cbrt52.9%
pow352.9%
associate-/r*65.8%
*-commutative65.8%
cbrt-prod65.8%
associate-/r*52.9%
cbrt-div56.7%
rem-cbrt-cube67.3%
cbrt-prod96.3%
pow296.3%
Applied egg-rr96.3%
pow196.3%
associate-+r+96.3%
metadata-eval96.3%
Applied egg-rr96.3%
unpow196.3%
Simplified96.3%
Final simplification75.5%
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 (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))
(t_3 (/ t_m (pow (cbrt l) 2.0))))
(*
t_s
(if (<= t_m 5.4e-185)
(*
2.0
(* (pow k -2.0) (* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m)))))
(if (<= t_m 5.4e-18)
(/ 2.0 (pow (* t_3 (cbrt (* (sin k) t_2))) 3.0))
(/ 2.0 (* t_2 (pow (* t_3 (cbrt (sin k))) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = tan(k) * (2.0 + pow((k / t_m), 2.0));
double t_3 = t_m / pow(cbrt(l), 2.0);
double tmp;
if (t_m <= 5.4e-185) {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
} else if (t_m <= 5.4e-18) {
tmp = 2.0 / pow((t_3 * cbrt((sin(k) * t_2))), 3.0);
} else {
tmp = 2.0 / (t_2 * pow((t_3 * cbrt(sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0));
double t_3 = t_m / Math.pow(Math.cbrt(l), 2.0);
double tmp;
if (t_m <= 5.4e-185) {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
} else if (t_m <= 5.4e-18) {
tmp = 2.0 / Math.pow((t_3 * Math.cbrt((Math.sin(k) * t_2))), 3.0);
} else {
tmp = 2.0 / (t_2 * Math.pow((t_3 * Math.cbrt(Math.sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) t_3 = Float64(t_m / (cbrt(l) ^ 2.0)) tmp = 0.0 if (t_m <= 5.4e-185) tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); elseif (t_m <= 5.4e-18) tmp = Float64(2.0 / (Float64(t_3 * cbrt(Float64(sin(k) * t_2))) ^ 3.0)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(t_3 * cbrt(sin(k))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5.4e-185], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.4e-18], N[(2.0 / N[Power[N[(t$95$3 * N[Power[N[(N[Sin[k], $MachinePrecision] * t$95$2), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(t$95$3 * N[Power[N[Sin[k], $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)
\\
\begin{array}{l}
t_2 := \tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\\
t_3 := \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.4 \cdot 10^{-185}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\mathbf{elif}\;t\_m \leq 5.4 \cdot 10^{-18}:\\
\;\;\;\;\frac{2}{{\left(t\_3 \cdot \sqrt[3]{\sin k \cdot t\_2}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_2 \cdot {\left(t\_3 \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 5.39999999999999976e-185Initial program 54.5%
Simplified54.5%
Taylor expanded in t around 0 68.0%
associate-*r/68.0%
times-frac66.8%
times-frac68.8%
Simplified68.8%
pow168.8%
div-inv68.8%
pow-flip69.6%
metadata-eval69.6%
div-inv69.5%
pow-flip69.5%
metadata-eval69.5%
Applied egg-rr69.5%
unpow169.5%
associate-*l*69.5%
associate-*l/68.2%
associate-/l*67.6%
associate-/l*67.6%
Simplified67.6%
if 5.39999999999999976e-185 < t < 5.39999999999999977e-18Initial program 36.3%
Simplified36.3%
associate-*l*33.6%
associate-/r*42.1%
associate-+r+42.1%
metadata-eval42.1%
associate-*l*42.1%
add-cube-cbrt41.9%
pow341.9%
Applied egg-rr67.9%
if 5.39999999999999977e-18 < t Initial program 62.5%
Simplified62.5%
add-cube-cbrt62.4%
pow362.5%
associate-/r*71.4%
*-commutative71.4%
cbrt-prod71.4%
associate-/r*62.3%
cbrt-div64.9%
rem-cbrt-cube72.0%
cbrt-prod91.7%
pow291.7%
Applied egg-rr91.7%
pow191.7%
associate-+r+91.7%
metadata-eval91.7%
Applied egg-rr91.7%
unpow191.7%
Simplified91.7%
Final simplification74.5%
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 (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))))
(*
t_s
(if (<= t_m 2.8e-185)
(*
2.0
(* (pow k -2.0) (* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m)))))
(if (<= t_m 5.3e-18)
(/
2.0
(pow (* t_m (* (cbrt (* (sin k) t_2)) (pow (cbrt l) -2.0))) 3.0))
(/
2.0
(* t_2 (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = tan(k) * (2.0 + pow((k / t_m), 2.0));
double tmp;
if (t_m <= 2.8e-185) {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
} else if (t_m <= 5.3e-18) {
tmp = 2.0 / pow((t_m * (cbrt((sin(k) * t_2)) * pow(cbrt(l), -2.0))), 3.0);
} else {
tmp = 2.0 / (t_2 * pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0));
double tmp;
if (t_m <= 2.8e-185) {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
} else if (t_m <= 5.3e-18) {
tmp = 2.0 / Math.pow((t_m * (Math.cbrt((Math.sin(k) * t_2)) * Math.pow(Math.cbrt(l), -2.0))), 3.0);
} else {
tmp = 2.0 / (t_2 * Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) tmp = 0.0 if (t_m <= 2.8e-185) tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); elseif (t_m <= 5.3e-18) tmp = Float64(2.0 / (Float64(t_m * Float64(cbrt(Float64(sin(k) * t_2)) * (cbrt(l) ^ -2.0))) ^ 3.0)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.8e-185], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.3e-18], N[(2.0 / N[Power[N[(t$95$m * N[(N[Power[N[(N[Sin[k], $MachinePrecision] * t$95$2), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $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)
\\
\begin{array}{l}
t_2 := \tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-185}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\mathbf{elif}\;t\_m \leq 5.3 \cdot 10^{-18}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot \left(\sqrt[3]{\sin k \cdot t\_2} \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_2 \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 2.79999999999999991e-185Initial program 54.5%
Simplified54.5%
Taylor expanded in t around 0 68.0%
associate-*r/68.0%
times-frac66.8%
times-frac68.8%
Simplified68.8%
pow168.8%
div-inv68.8%
pow-flip69.6%
metadata-eval69.6%
div-inv69.5%
pow-flip69.5%
metadata-eval69.5%
Applied egg-rr69.5%
unpow169.5%
associate-*l*69.5%
associate-*l/68.2%
associate-/l*67.6%
associate-/l*67.6%
Simplified67.6%
if 2.79999999999999991e-185 < t < 5.3000000000000003e-18Initial program 36.3%
Simplified42.1%
add-cube-cbrt41.8%
*-un-lft-identity41.8%
times-frac41.8%
pow241.8%
cbrt-div41.8%
rem-cbrt-cube42.0%
cbrt-div42.0%
rem-cbrt-cube56.9%
Applied egg-rr56.9%
add-cube-cbrt56.7%
pow356.7%
Applied egg-rr68.0%
associate-*l*67.9%
Simplified67.9%
if 5.3000000000000003e-18 < t Initial program 62.5%
Simplified62.5%
add-cube-cbrt62.4%
pow362.5%
associate-/r*71.4%
*-commutative71.4%
cbrt-prod71.4%
associate-/r*62.3%
cbrt-div64.9%
rem-cbrt-cube72.0%
cbrt-prod91.7%
pow291.7%
Applied egg-rr91.7%
pow191.7%
associate-+r+91.7%
metadata-eval91.7%
Applied egg-rr91.7%
unpow191.7%
Simplified91.7%
Final simplification74.5%
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 (* (sin k) (tan k))) (t_3 (/ t_m (cbrt l))))
(*
t_s
(if (<= k 5.2e-159)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(if (<= k 0.25)
(/
2.0
(pow
(*
(/ (pow t_m 1.5) l)
(* (hypot 1.0 (hypot 1.0 (/ k t_m))) (sqrt t_2)))
2.0))
(if (<= k 5e+123)
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))
(/
2.0
(*
(* (pow t_3 2.0) (/ t_3 l))
(* (+ 2.0 (pow (/ k t_m) 2.0)) t_2)))))))))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 = sin(k) * tan(k);
double t_3 = t_m / cbrt(l);
double tmp;
if (k <= 5.2e-159) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else if (k <= 0.25) {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (hypot(1.0, hypot(1.0, (k / t_m))) * sqrt(t_2))), 2.0);
} else if (k <= 5e+123) {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0));
} else {
tmp = 2.0 / ((pow(t_3, 2.0) * (t_3 / l)) * ((2.0 + pow((k / t_m), 2.0)) * t_2));
}
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.sin(k) * Math.tan(k);
double t_3 = t_m / Math.cbrt(l);
double tmp;
if (k <= 5.2e-159) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else if (k <= 0.25) {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (Math.hypot(1.0, Math.hypot(1.0, (k / t_m))) * Math.sqrt(t_2))), 2.0);
} else if (k <= 5e+123) {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0));
} else {
tmp = 2.0 / ((Math.pow(t_3, 2.0) * (t_3 / l)) * ((2.0 + Math.pow((k / t_m), 2.0)) * t_2));
}
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(sin(k) * tan(k)) t_3 = Float64(t_m / cbrt(l)) tmp = 0.0 if (k <= 5.2e-159) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); elseif (k <= 0.25) tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(hypot(1.0, hypot(1.0, Float64(k / t_m))) * sqrt(t_2))) ^ 2.0)); elseif (k <= 5e+123) tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64((t_3 ^ 2.0) * Float64(t_3 / l)) * Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * t_2))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 5.2e-159], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.25], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision] * N[Sqrt[t$95$2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 5e+123], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[t$95$3, 2.0], $MachinePrecision] * N[(t$95$3 / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * t$95$2), $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 := \sin k \cdot \tan k\\
t_3 := \frac{t\_m}{\sqrt[3]{\ell}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.2 \cdot 10^{-159}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{elif}\;k \leq 0.25:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right) \cdot \sqrt{t\_2}\right)\right)}^{2}}\\
\mathbf{elif}\;k \leq 5 \cdot 10^{+123}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left({t\_3}^{2} \cdot \frac{t\_3}{\ell}\right) \cdot \left(\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot t\_2\right)}\\
\end{array}
\end{array}
\end{array}
if k < 5.1999999999999997e-159Initial program 60.7%
Simplified60.7%
add-cube-cbrt60.7%
pow360.7%
associate-/r*67.8%
*-commutative67.8%
cbrt-prod67.7%
associate-/r*60.6%
cbrt-div63.0%
rem-cbrt-cube72.4%
cbrt-prod81.8%
pow281.8%
Applied egg-rr81.8%
Taylor expanded in k around 0 71.3%
if 5.1999999999999997e-159 < k < 0.25Initial program 61.9%
Simplified61.9%
associate-*l*61.8%
associate-/r*63.5%
associate-+r+63.5%
metadata-eval63.5%
associate-*l*63.5%
add-sqr-sqrt38.8%
pow238.8%
Applied egg-rr50.0%
if 0.25 < k < 4.99999999999999974e123Initial program 40.0%
Simplified40.0%
Taylor expanded in t around 0 79.1%
associate-*r/79.1%
associate-*r*79.1%
Simplified79.1%
if 4.99999999999999974e123 < k Initial program 34.1%
Simplified34.6%
add-cube-cbrt34.6%
*-un-lft-identity34.6%
times-frac34.6%
pow234.6%
cbrt-div34.6%
rem-cbrt-cube34.6%
cbrt-div34.6%
rem-cbrt-cube43.8%
Applied egg-rr43.8%
/-rgt-identity43.8%
*-un-lft-identity43.8%
Applied egg-rr43.8%
*-lft-identity43.8%
Simplified43.8%
Final simplification64.9%
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 2.75e-126)
(*
2.0
(* (pow k -2.0) (* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m)))))
(/
2.0
(*
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.75e-126) {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
} else {
tmp = 2.0 / ((tan(k) * (2.0 + pow((k / t_m), 2.0))) * pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.75e-126) {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
} else {
tmp = 2.0 / ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.75e-126) tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.75e-126], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $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 2.75 \cdot 10^{-126}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.74999999999999993e-126Initial program 52.9%
Simplified52.9%
Taylor expanded in t around 0 66.7%
associate-*r/66.7%
times-frac66.2%
times-frac68.0%
Simplified68.0%
pow168.0%
div-inv68.0%
pow-flip68.7%
metadata-eval68.7%
div-inv68.7%
pow-flip68.7%
metadata-eval68.7%
Applied egg-rr68.7%
unpow168.7%
associate-*l*68.7%
associate-*l/67.5%
associate-/l*66.9%
associate-/l*66.9%
Simplified66.9%
if 2.74999999999999993e-126 < t Initial program 56.8%
Simplified56.7%
add-cube-cbrt56.7%
pow356.7%
associate-/r*66.5%
*-commutative66.5%
cbrt-prod66.5%
associate-/r*56.6%
cbrt-div58.6%
rem-cbrt-cube65.2%
cbrt-prod84.3%
pow284.3%
Applied egg-rr84.3%
pow184.3%
associate-+r+84.3%
metadata-eval84.3%
Applied egg-rr84.3%
unpow184.3%
Simplified84.3%
Final simplification73.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ t_m (cbrt l))))
(*
t_s
(if (<= k 7.4e-28)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(if (<= k 1.62e+124)
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))
(/
2.0
(*
(* (pow t_2 2.0) (/ t_2 l))
(* (+ 2.0 (pow (/ k t_m) 2.0)) (* (sin k) (tan 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 = t_m / cbrt(l);
double tmp;
if (k <= 7.4e-28) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else if (k <= 1.62e+124) {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0));
} else {
tmp = 2.0 / ((pow(t_2, 2.0) * (t_2 / l)) * ((2.0 + pow((k / t_m), 2.0)) * (sin(k) * tan(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 = t_m / Math.cbrt(l);
double tmp;
if (k <= 7.4e-28) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else if (k <= 1.62e+124) {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0));
} else {
tmp = 2.0 / ((Math.pow(t_2, 2.0) * (t_2 / l)) * ((2.0 + Math.pow((k / t_m), 2.0)) * (Math.sin(k) * Math.tan(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(t_m / cbrt(l)) tmp = 0.0 if (k <= 7.4e-28) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); elseif (k <= 1.62e+124) tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64((t_2 ^ 2.0) * Float64(t_2 / l)) * Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * Float64(sin(k) * tan(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[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 7.4e-28], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.62e+124], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[t$95$2, 2.0], $MachinePrecision] * N[(t$95$2 / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $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 := \frac{t\_m}{\sqrt[3]{\ell}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.4 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{elif}\;k \leq 1.62 \cdot 10^{+124}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left({t\_2}^{2} \cdot \frac{t\_2}{\ell}\right) \cdot \left(\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot \left(\sin k \cdot \tan k\right)\right)}\\
\end{array}
\end{array}
\end{array}
if k < 7.40000000000000039e-28Initial program 62.4%
Simplified62.4%
add-cube-cbrt62.3%
pow362.3%
associate-/r*68.5%
*-commutative68.5%
cbrt-prod68.4%
associate-/r*62.2%
cbrt-div64.3%
rem-cbrt-cube72.9%
cbrt-prod82.9%
pow282.9%
Applied egg-rr82.9%
Taylor expanded in k around 0 73.5%
if 7.40000000000000039e-28 < k < 1.62e124Initial program 35.9%
Simplified35.9%
Taylor expanded in t around 0 77.0%
associate-*r/77.0%
associate-*r*77.0%
Simplified77.0%
if 1.62e124 < k Initial program 34.1%
Simplified34.6%
add-cube-cbrt34.6%
*-un-lft-identity34.6%
times-frac34.6%
pow234.6%
cbrt-div34.6%
rem-cbrt-cube34.6%
cbrt-div34.6%
rem-cbrt-cube43.8%
Applied egg-rr43.8%
/-rgt-identity43.8%
*-un-lft-identity43.8%
Applied egg-rr43.8%
*-lft-identity43.8%
Simplified43.8%
Final simplification69.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.4e-28)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(if (<= k 1.6e+124)
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))
(/
2.0
(*
(* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))
(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 tmp;
if (k <= 7.4e-28) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else if (k <= 1.6e+124) {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0));
} else {
tmp = 2.0 / ((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))) * 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 tmp;
if (k <= 7.4e-28) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else if (k <= 1.6e+124) {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0));
} else {
tmp = 2.0 / ((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))) * 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) tmp = 0.0 if (k <= 7.4e-28) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); elseif (k <= 1.6e+124) tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) * (Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 7.4e-28], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.6e+124], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $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 7.4 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{elif}\;k \leq 1.6 \cdot 10^{+124}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}}\\
\end{array}
\end{array}
if k < 7.40000000000000039e-28Initial program 62.4%
Simplified62.4%
add-cube-cbrt62.3%
pow362.3%
associate-/r*68.5%
*-commutative68.5%
cbrt-prod68.4%
associate-/r*62.2%
cbrt-div64.3%
rem-cbrt-cube72.9%
cbrt-prod82.9%
pow282.9%
Applied egg-rr82.9%
Taylor expanded in k around 0 73.5%
if 7.40000000000000039e-28 < k < 1.59999999999999996e124Initial program 35.9%
Simplified35.9%
Taylor expanded in t around 0 77.0%
associate-*r/77.0%
associate-*r*77.0%
Simplified77.0%
if 1.59999999999999996e124 < k Initial program 34.1%
Simplified34.6%
add-cube-cbrt34.6%
*-un-lft-identity34.6%
times-frac34.6%
pow234.6%
cbrt-div34.6%
rem-cbrt-cube34.6%
cbrt-div34.6%
rem-cbrt-cube43.8%
Applied egg-rr43.8%
add-cube-cbrt43.8%
pow343.8%
Applied egg-rr52.4%
*-commutative52.4%
cube-prod43.8%
rem-cube-cbrt43.7%
*-commutative43.7%
Simplified43.7%
Final simplification69.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 9.2e-99)
(* (/ 2.0 (* k k)) (* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 9.5e+19)
(/ 2.0 (* (/ (pow t_m 3.0) l) (* (sin k) (* (tan k) (/ t_2 l)))))
(if (<= t_m 6e+103)
(* (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))) (/ l t_2))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin 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 <= 9.2e-99) {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 9.5e+19) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (sin(k) * (tan(k) * (t_2 / l))));
} else if (t_m <= 6e+103) {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (l / t_2);
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(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 <= 9.2e-99) {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 9.5e+19) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (Math.sin(k) * (Math.tan(k) * (t_2 / l))));
} else if (t_m <= 6e+103) {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (l / t_2);
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(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 <= 9.2e-99) tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 9.5e+19) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(sin(k) * Float64(tan(k) * Float64(t_2 / l))))); elseif (t_m <= 6e+103) tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(l / t_2)); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(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, 9.2e-99], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 9.5e+19], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(t$95$2 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6e+103], N[(N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / t$95$2), $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[N[Sin[k], $MachinePrecision], 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 9.2 \cdot 10^{-99}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 9.5 \cdot 10^{+19}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \left(\sin k \cdot \left(\tan k \cdot \frac{t\_2}{\ell}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 6 \cdot 10^{+103}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
\end{array}
if t < 9.1999999999999994e-99Initial program 51.1%
Simplified51.1%
Taylor expanded in t around 0 65.6%
associate-*r/65.6%
times-frac65.1%
times-frac66.9%
Simplified66.9%
unpow266.9%
Applied egg-rr66.9%
if 9.1999999999999994e-99 < t < 9.5e19Initial program 64.7%
Simplified64.6%
associate-*l*49.9%
associate-/r*54.2%
associate-+r+54.2%
metadata-eval54.2%
associate-*l*54.2%
associate-*l/54.5%
associate-*l*54.5%
Applied egg-rr54.5%
associate-/l*66.5%
associate-*r*66.4%
Simplified66.4%
*-un-lft-identity66.4%
associate-/l*66.4%
Applied egg-rr66.4%
*-lft-identity66.4%
associate-*l*78.6%
Simplified78.6%
if 9.5e19 < t < 6e103Initial program 61.5%
Simplified70.3%
associate-*r*78.8%
*-un-lft-identity78.8%
times-frac79.0%
associate-/l/79.0%
Applied egg-rr79.0%
if 6e103 < t Initial program 57.6%
Simplified57.6%
add-cube-cbrt57.6%
pow357.6%
associate-/r*67.9%
*-commutative67.9%
cbrt-prod67.9%
associate-/r*57.6%
cbrt-div57.6%
rem-cbrt-cube69.6%
cbrt-prod96.3%
pow296.3%
Applied egg-rr96.3%
Taylor expanded in k around 0 86.0%
Final simplification72.3%
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 6.6e-28)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 6.6e-28) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 6.6e-28) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 6.6e-28) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); else tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 6.6e-28], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\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 6.6 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\end{array}
\end{array}
if k < 6.6000000000000003e-28Initial program 62.4%
Simplified62.4%
add-cube-cbrt62.3%
pow362.3%
associate-/r*68.5%
*-commutative68.5%
cbrt-prod68.4%
associate-/r*62.2%
cbrt-div64.3%
rem-cbrt-cube72.9%
cbrt-prod82.9%
pow282.9%
Applied egg-rr82.9%
Taylor expanded in k around 0 73.5%
if 6.6000000000000003e-28 < k Initial program 34.9%
Simplified34.9%
Taylor expanded in t around 0 59.5%
associate-*r/59.5%
associate-*r*59.5%
Simplified59.5%
Final simplification69.4%
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 5.5e-28)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(*
2.0
(* (pow l 2.0) (/ (* (cos k) (/ (pow (sin k) -2.0) t_m)) (pow k 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.5e-28) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else {
tmp = 2.0 * (pow(l, 2.0) * ((cos(k) * (pow(sin(k), -2.0) / t_m)) / pow(k, 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.5e-28) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else {
tmp = 2.0 * (Math.pow(l, 2.0) * ((Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m)) / Math.pow(k, 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5.5e-28) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); else tmp = Float64(2.0 * Float64((l ^ 2.0) * Float64(Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m)) / (k ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.5e-28], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.5 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left({\ell}^{2} \cdot \frac{\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}}{{k}^{2}}\right)\\
\end{array}
\end{array}
if k < 5.49999999999999967e-28Initial program 62.4%
Simplified62.4%
add-cube-cbrt62.3%
pow362.3%
associate-/r*68.5%
*-commutative68.5%
cbrt-prod68.4%
associate-/r*62.2%
cbrt-div64.3%
rem-cbrt-cube72.9%
cbrt-prod82.9%
pow282.9%
Applied egg-rr82.9%
Taylor expanded in k around 0 73.5%
if 5.49999999999999967e-28 < k Initial program 34.9%
Simplified34.9%
Taylor expanded in t around 0 59.5%
associate-*r/59.5%
times-frac57.1%
times-frac57.2%
Simplified57.2%
associate-*l/57.2%
div-inv57.2%
pow-flip57.2%
metadata-eval57.2%
Applied egg-rr57.2%
associate-/l*57.2%
associate-*l/57.1%
associate-/l*57.2%
associate-/l*59.4%
associate-/l*59.5%
Simplified59.5%
Final simplification69.4%
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 4e-28)
(/
2.0
(* (pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k))) 3.0) (* 2.0 k)))
(*
2.0
(*
(pow k -2.0)
(* (pow l 2.0) (* (cos k) (/ (pow (sin k) -2.0) t_m))))))))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 <= 4e-28) {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k))), 3.0) * (2.0 * k));
} else {
tmp = 2.0 * (pow(k, -2.0) * (pow(l, 2.0) * (cos(k) * (pow(sin(k), -2.0) / t_m))));
}
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 <= 4e-28) {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k))), 3.0) * (2.0 * k));
} else {
tmp = 2.0 * (Math.pow(k, -2.0) * (Math.pow(l, 2.0) * (Math.cos(k) * (Math.pow(Math.sin(k), -2.0) / t_m))));
}
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 <= 4e-28) tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k))) ^ 3.0) * Float64(2.0 * k))); else tmp = Float64(2.0 * Float64((k ^ -2.0) * Float64((l ^ 2.0) * Float64(cos(k) * Float64((sin(k) ^ -2.0) / t_m))))); 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, 4e-28], 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[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[k, -2.0], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 4 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left({k}^{-2} \cdot \left({\ell}^{2} \cdot \left(\cos k \cdot \frac{{\sin k}^{-2}}{t\_m}\right)\right)\right)\\
\end{array}
\end{array}
if k < 3.99999999999999988e-28Initial program 62.4%
Simplified62.4%
add-cube-cbrt62.3%
pow362.3%
associate-/r*68.5%
*-commutative68.5%
cbrt-prod68.4%
associate-/r*62.2%
cbrt-div64.3%
rem-cbrt-cube72.9%
cbrt-prod82.9%
pow282.9%
Applied egg-rr82.9%
Taylor expanded in k around 0 73.5%
if 3.99999999999999988e-28 < k Initial program 34.9%
Simplified34.9%
Taylor expanded in t around 0 59.5%
associate-*r/59.5%
times-frac57.1%
times-frac57.2%
Simplified57.2%
pow157.2%
div-inv57.2%
pow-flip58.7%
metadata-eval58.7%
div-inv58.6%
pow-flip58.6%
metadata-eval58.6%
Applied egg-rr58.6%
unpow158.6%
associate-*l*58.6%
associate-*l/58.6%
associate-/l*58.7%
associate-/l*58.7%
Simplified58.7%
Final simplification69.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.5e-125)
(* (/ 2.0 (pow k 2.0)) (/ (pow l 2.0) (* t_m (pow k 2.0))))
(if (<= t_m 8.5e+23)
(/ 2.0 (* (/ (pow t_m 3.0) l) (/ (* 2.0 (pow k 2.0)) l)))
(if (<= t_m 2.22e+102)
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/
2.0
(*
(pow (pow (* t_m (pow (cbrt l) -2.0)) 1.5) 2.0)
(* 2.0 (* k k)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / pow(k, 2.0)) * (pow(l, 2.0) / (t_m * pow(k, 2.0)));
} else if (t_m <= 8.5e+23) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * ((2.0 * pow(k, 2.0)) / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (pow(pow((t_m * pow(cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / Math.pow(k, 2.0)) * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 2.0)));
} else if (t_m <= 8.5e+23) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * ((2.0 * Math.pow(k, 2.0)) / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (Math.pow(Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.5e-125) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64((l ^ 2.0) / Float64(t_m * (k ^ 2.0)))); elseif (t_m <= 8.5e+23) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) / l))); elseif (t_m <= 2.22e+102) tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64(((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 1.5) ^ 2.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3.5e-125], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 8.5e+23], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.22e+102], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision], 2.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{2}}\\
\mathbf{elif}\;t\_m \leq 8.5 \cdot 10^{+23}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{2 \cdot {k}^{2}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 2.22 \cdot 10^{+102}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left({\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{1.5}\right)}^{2} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 60.8%
if 3.49999999999999998e-125 < t < 8.5000000000000001e23Initial program 58.0%
Simplified57.9%
associate-*l*44.3%
associate-/r*53.5%
associate-+r+53.5%
metadata-eval53.5%
associate-*l*53.5%
associate-*l/53.7%
associate-*l*53.7%
Applied egg-rr53.7%
associate-/l*60.0%
associate-*r*60.0%
Simplified60.0%
Taylor expanded in k around 0 45.4%
if 8.5000000000000001e23 < t < 2.22000000000000009e102Initial program 58.7%
Simplified73.8%
Taylor expanded in k around 0 68.2%
Taylor expanded in k around 0 73.4%
if 2.22000000000000009e102 < t Initial program 56.3%
Simplified54.7%
Taylor expanded in k around 0 54.7%
unpow241.9%
Applied egg-rr54.7%
associate-/r*44.7%
unpow344.7%
times-frac57.2%
pow257.2%
Applied egg-rr57.2%
add-cube-cbrt57.2%
pow357.2%
frac-times44.7%
unpow244.7%
unpow344.7%
cbrt-div44.7%
unpow344.7%
add-cbrt-cube49.9%
cbrt-prod64.3%
unpow264.3%
pow-to-exp28.2%
*-commutative28.2%
sqr-pow28.2%
pow228.2%
Applied egg-rr64.4%
Final simplification60.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 5e-100)
(* (/ 2.0 (* k k)) (* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 9.5e+19)
(/ 2.0 (* (/ (pow t_m 3.0) l) (* (sin k) (* (tan k) (/ t_2 l)))))
(* (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))) (/ l t_2)))))))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 <= 5e-100) {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 9.5e+19) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (sin(k) * (tan(k) * (t_2 / l))));
} else {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (l / t_2);
}
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) :: t_2
real(8) :: tmp
t_2 = 2.0d0 + ((k / t_m) ** 2.0d0)
if (t_m <= 5d-100) then
tmp = (2.0d0 / (k * k)) * (((l ** 2.0d0) / t_m) * (cos(k) / (sin(k) ** 2.0d0)))
else if (t_m <= 9.5d+19) then
tmp = 2.0d0 / (((t_m ** 3.0d0) / l) * (sin(k) * (tan(k) * (t_2 / l))))
else
tmp = (l * (2.0d0 / (tan(k) * (sin(k) * (t_m ** 3.0d0))))) * (l / t_2)
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 t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 5e-100) {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 9.5e+19) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (Math.sin(k) * (Math.tan(k) * (t_2 / l))));
} else {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (l / t_2);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): t_2 = 2.0 + math.pow((k / t_m), 2.0) tmp = 0 if t_m <= 5e-100: tmp = (2.0 / (k * k)) * ((math.pow(l, 2.0) / t_m) * (math.cos(k) / math.pow(math.sin(k), 2.0))) elif t_m <= 9.5e+19: tmp = 2.0 / ((math.pow(t_m, 3.0) / l) * (math.sin(k) * (math.tan(k) * (t_2 / l)))) else: tmp = (l * (2.0 / (math.tan(k) * (math.sin(k) * math.pow(t_m, 3.0))))) * (l / t_2) 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 <= 5e-100) tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 9.5e+19) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(sin(k) * Float64(tan(k) * Float64(t_2 / l))))); else tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(l / t_2)); 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) t_2 = 2.0 + ((k / t_m) ^ 2.0); tmp = 0.0; if (t_m <= 5e-100) tmp = (2.0 / (k * k)) * (((l ^ 2.0) / t_m) * (cos(k) / (sin(k) ^ 2.0))); elseif (t_m <= 9.5e+19) tmp = 2.0 / (((t_m ^ 3.0) / l) * (sin(k) * (tan(k) * (t_2 / l)))); else tmp = (l * (2.0 / (tan(k) * (sin(k) * (t_m ^ 3.0))))) * (l / t_2); 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_] := 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, 5e-100], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 9.5e+19], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(t$95$2 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / t$95$2), $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 \cdot 10^{-100}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 9.5 \cdot 10^{+19}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \left(\sin k \cdot \left(\tan k \cdot \frac{t\_2}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{t\_2}\\
\end{array}
\end{array}
\end{array}
if t < 5.0000000000000001e-100Initial program 51.1%
Simplified51.1%
Taylor expanded in t around 0 65.6%
associate-*r/65.6%
times-frac65.1%
times-frac66.9%
Simplified66.9%
unpow266.9%
Applied egg-rr66.9%
if 5.0000000000000001e-100 < t < 9.5e19Initial program 64.7%
Simplified64.6%
associate-*l*49.9%
associate-/r*54.2%
associate-+r+54.2%
metadata-eval54.2%
associate-*l*54.2%
associate-*l/54.5%
associate-*l*54.5%
Applied egg-rr54.5%
associate-/l*66.5%
associate-*r*66.4%
Simplified66.4%
*-un-lft-identity66.4%
associate-/l*66.4%
Applied egg-rr66.4%
*-lft-identity66.4%
associate-*l*78.6%
Simplified78.6%
if 9.5e19 < t Initial program 59.0%
Simplified62.1%
associate-*r*71.7%
*-un-lft-identity71.7%
times-frac71.7%
associate-/l/71.8%
Applied egg-rr71.8%
Final simplification69.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2e-40)
(* (/ 2.0 (* k k)) (* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 6e+103)
(*
l
(/
(* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k))))
(+ 2.0 (pow (/ k t_m) 2.0))))
(/
2.0
(* (pow (pow (* t_m (pow (cbrt l) -2.0)) 1.5) 2.0) (* 2.0 (* k k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2e-40) {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 6e+103) {
tmp = l * (((2.0 / pow(t_m, 3.0)) * (l / (sin(k) * tan(k)))) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / (pow(pow((t_m * pow(cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2e-40) {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 6e+103) {
tmp = l * (((2.0 / Math.pow(t_m, 3.0)) * (l / (Math.sin(k) * Math.tan(k)))) / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / (Math.pow(Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2e-40) tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 6e+103) tmp = Float64(l * Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) * Float64(l / Float64(sin(k) * tan(k)))) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64(2.0 / Float64(((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 1.5) ^ 2.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2e-40], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6e+103], N[(l * N[(N[(N[(2.0 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] * N[(l / N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision], 2.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2 \cdot 10^{-40}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 6 \cdot 10^{+103}:\\
\;\;\;\;\ell \cdot \frac{\frac{2}{{t\_m}^{3}} \cdot \frac{\ell}{\sin k \cdot \tan k}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left({\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{1.5}\right)}^{2} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 1.9999999999999999e-40Initial program 50.8%
Simplified50.8%
Taylor expanded in t around 0 64.4%
associate-*r/64.4%
times-frac63.9%
times-frac65.6%
Simplified65.6%
unpow265.6%
Applied egg-rr65.6%
if 1.9999999999999999e-40 < t < 6e103Initial program 69.6%
Simplified65.4%
associate-*r*73.9%
*-un-lft-identity73.9%
times-frac74.1%
associate-/l/74.1%
Applied egg-rr74.1%
times-frac74.0%
*-commutative74.0%
times-frac72.7%
associate-*l/72.7%
associate-*l*67.0%
times-frac67.1%
/-rgt-identity67.1%
Simplified67.1%
if 6e103 < t Initial program 57.6%
Simplified55.9%
Taylor expanded in k around 0 55.9%
unpow242.9%
Applied egg-rr55.9%
associate-/r*45.8%
unpow345.8%
times-frac58.4%
pow258.4%
Applied egg-rr58.4%
add-cube-cbrt58.4%
pow358.4%
frac-times45.8%
unpow245.8%
unpow345.8%
cbrt-div45.8%
unpow345.8%
add-cbrt-cube51.1%
cbrt-prod65.7%
unpow265.7%
pow-to-exp28.8%
*-commutative28.8%
sqr-pow28.8%
pow228.8%
Applied egg-rr65.8%
Final simplification65.8%
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
(if (<= k 8e-140)
(/
2.0
(*
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(/ (* k (pow t_m 3.0)) (pow l 2.0))))
(if (<= k 4.8e-28)
(/
2.0
(* (pow (pow (* t_m (pow (cbrt l) -2.0)) 1.5) 2.0) (* 2.0 (* k k))))
(*
(/ 2.0 (* k k))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e-140) {
tmp = 2.0 / ((tan(k) * (2.0 + pow((k / t_m), 2.0))) * ((k * pow(t_m, 3.0)) / pow(l, 2.0)));
} else if (k <= 4.8e-28) {
tmp = 2.0 / (pow(pow((t_m * pow(cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
} else {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e-140) {
tmp = 2.0 / ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * ((k * Math.pow(t_m, 3.0)) / Math.pow(l, 2.0)));
} else if (k <= 4.8e-28) {
tmp = 2.0 / (Math.pow(Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
} else {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 8e-140) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(Float64(k * (t_m ^ 3.0)) / (l ^ 2.0)))); elseif (k <= 4.8e-28) tmp = Float64(2.0 / Float64(((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 1.5) ^ 2.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 8e-140], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 4.8e-28], N[(2.0 / N[(N[Power[N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision], 2.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 8 \cdot 10^{-140}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k \cdot {t\_m}^{3}}{{\ell}^{2}}}\\
\mathbf{elif}\;k \leq 4.8 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{{\left({\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{1.5}\right)}^{2} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\end{array}
\end{array}
if k < 7.9999999999999999e-140Initial program 61.3%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
associate-/r*68.2%
*-commutative68.2%
cbrt-prod68.1%
associate-/r*61.1%
cbrt-div63.5%
rem-cbrt-cube72.8%
cbrt-prod82.0%
pow282.0%
Applied egg-rr82.0%
pow182.0%
associate-+r+82.0%
metadata-eval82.0%
Applied egg-rr82.0%
unpow182.0%
Simplified82.0%
Taylor expanded in k around 0 60.1%
if 7.9999999999999999e-140 < k < 4.8000000000000004e-28Initial program 69.4%
Simplified70.4%
Taylor expanded in k around 0 70.5%
unpow248.3%
Applied egg-rr70.5%
associate-/r*69.3%
unpow369.3%
times-frac77.9%
pow277.9%
Applied egg-rr77.9%
add-cube-cbrt77.9%
pow377.9%
frac-times69.2%
unpow269.2%
unpow369.2%
cbrt-div69.2%
unpow369.2%
add-cbrt-cube73.8%
cbrt-prod81.0%
unpow281.0%
pow-to-exp34.6%
*-commutative34.6%
sqr-pow26.9%
pow226.9%
Applied egg-rr53.7%
if 4.8000000000000004e-28 < k Initial program 34.9%
Simplified34.9%
Taylor expanded in t around 0 59.5%
associate-*r/59.5%
times-frac57.1%
times-frac57.2%
Simplified57.2%
unpow257.2%
Applied egg-rr57.2%
Final simplification58.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.3e+24)
(* (/ 2.0 (* k k)) (* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 1.55e+102)
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/
2.0
(* (pow (pow (* t_m (pow (cbrt l) -2.0)) 1.5) 2.0) (* 2.0 (* k k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.3e+24) {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 1.55e+102) {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (pow(pow((t_m * pow(cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.3e+24) {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 1.55e+102) {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (Math.pow(Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 1.5), 2.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.3e+24) tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 1.55e+102) tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64(((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 1.5) ^ 2.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.3e+24], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.55e+102], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision], 2.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.3 \cdot 10^{+24}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 1.55 \cdot 10^{+102}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left({\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{1.5}\right)}^{2} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 2.2999999999999999e24Initial program 53.5%
Simplified53.5%
Taylor expanded in t around 0 63.9%
associate-*r/63.9%
times-frac63.5%
times-frac65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
if 2.2999999999999999e24 < t < 1.54999999999999993e102Initial program 58.7%
Simplified73.8%
Taylor expanded in k around 0 68.2%
Taylor expanded in k around 0 73.4%
if 1.54999999999999993e102 < t Initial program 56.3%
Simplified54.7%
Taylor expanded in k around 0 54.7%
unpow241.9%
Applied egg-rr54.7%
associate-/r*44.7%
unpow344.7%
times-frac57.2%
pow257.2%
Applied egg-rr57.2%
add-cube-cbrt57.2%
pow357.2%
frac-times44.7%
unpow244.7%
unpow344.7%
cbrt-div44.7%
unpow344.7%
add-cbrt-cube49.9%
cbrt-prod64.3%
unpow264.3%
pow-to-exp28.2%
*-commutative28.2%
sqr-pow28.2%
pow228.2%
Applied egg-rr64.4%
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 (<= t_m 6.1e-99)
(* (/ 2.0 (* k k)) (* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(/
2.0
(*
(/ (pow t_m 3.0) l)
(* (sin k) (* (tan k) (/ (+ 2.0 (pow (/ k t_m) 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) {
double tmp;
if (t_m <= 6.1e-99) {
tmp = (2.0 / (k * k)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (sin(k) * (tan(k) * ((2.0 + pow((k / t_m), 2.0)) / 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 <= 6.1d-99) then
tmp = (2.0d0 / (k * k)) * (((l ** 2.0d0) / t_m) * (cos(k) / (sin(k) ** 2.0d0)))
else
tmp = 2.0d0 / (((t_m ** 3.0d0) / l) * (sin(k) * (tan(k) * ((2.0d0 + ((k / t_m) ** 2.0d0)) / 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 <= 6.1e-99) {
tmp = (2.0 / (k * k)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (Math.sin(k) * (Math.tan(k) * ((2.0 + Math.pow((k / t_m), 2.0)) / 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 <= 6.1e-99: tmp = (2.0 / (k * k)) * ((math.pow(l, 2.0) / t_m) * (math.cos(k) / math.pow(math.sin(k), 2.0))) else: tmp = 2.0 / ((math.pow(t_m, 3.0) / l) * (math.sin(k) * (math.tan(k) * ((2.0 + math.pow((k / t_m), 2.0)) / 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 (t_m <= 6.1e-99) tmp = Float64(Float64(2.0 / Float64(k * k)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(sin(k) * Float64(tan(k) * Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) / 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 <= 6.1e-99) tmp = (2.0 / (k * k)) * (((l ^ 2.0) / t_m) * (cos(k) / (sin(k) ^ 2.0))); else tmp = 2.0 / (((t_m ^ 3.0) / l) * (sin(k) * (tan(k) * ((2.0 + ((k / t_m) ^ 2.0)) / 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, 6.1e-99], N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / 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 6.1 \cdot 10^{-99}:\\
\;\;\;\;\frac{2}{k \cdot k} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \left(\sin k \cdot \left(\tan k \cdot \frac{2 + {\left(\frac{k}{t\_m}\right)}^{2}}{\ell}\right)\right)}\\
\end{array}
\end{array}
if t < 6.1000000000000003e-99Initial program 51.1%
Simplified51.1%
Taylor expanded in t around 0 65.6%
associate-*r/65.6%
times-frac65.1%
times-frac66.9%
Simplified66.9%
unpow266.9%
Applied egg-rr66.9%
if 6.1000000000000003e-99 < t Initial program 60.5%
Simplified60.4%
associate-*l*49.9%
associate-/r*58.1%
associate-+r+58.1%
metadata-eval58.1%
associate-*l*58.1%
associate-*l/57.3%
associate-*l*57.3%
Applied egg-rr57.3%
associate-/l*61.4%
associate-*r*61.4%
Simplified61.4%
*-un-lft-identity61.4%
associate-/l*61.3%
Applied egg-rr61.3%
*-lft-identity61.3%
associate-*l*69.0%
Simplified69.0%
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 3.5e-125)
(* (/ 2.0 (pow k 2.0)) (/ (pow l 2.0) (* t_m (pow k 2.0))))
(if (<= t_m 3.6e+24)
(/ 2.0 (* (/ (pow t_m 3.0) l) (/ (* 2.0 (pow k 2.0)) l)))
(if (<= t_m 2.22e+102)
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (* k k)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / pow(k, 2.0)) * (pow(l, 2.0) / (t_m * pow(k, 2.0)));
} else if (t_m <= 3.6e+24) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * ((2.0 * pow(k, 2.0)) / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / Math.pow(k, 2.0)) * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 2.0)));
} else if (t_m <= 3.6e+24) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * ((2.0 * Math.pow(k, 2.0)) / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * 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)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.5e-125) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64((l ^ 2.0) / Float64(t_m * (k ^ 2.0)))); elseif (t_m <= 3.6e+24) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) / l))); elseif (t_m <= 2.22e+102) tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3.5e-125], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.6e+24], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.22e+102], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{2}}\\
\mathbf{elif}\;t\_m \leq 3.6 \cdot 10^{+24}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{2 \cdot {k}^{2}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 2.22 \cdot 10^{+102}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 60.8%
if 3.49999999999999998e-125 < t < 3.59999999999999983e24Initial program 58.0%
Simplified57.9%
associate-*l*44.3%
associate-/r*53.5%
associate-+r+53.5%
metadata-eval53.5%
associate-*l*53.5%
associate-*l/53.7%
associate-*l*53.7%
Applied egg-rr53.7%
associate-/l*60.0%
associate-*r*60.0%
Simplified60.0%
Taylor expanded in k around 0 45.4%
if 3.59999999999999983e24 < t < 2.22000000000000009e102Initial program 58.7%
Simplified73.8%
Taylor expanded in k around 0 68.2%
Taylor expanded in k around 0 73.4%
if 2.22000000000000009e102 < t Initial program 56.3%
Simplified54.7%
Taylor expanded in k around 0 54.7%
unpow241.9%
Applied egg-rr54.7%
associate-/r*44.7%
unpow344.7%
times-frac57.2%
pow257.2%
Applied egg-rr57.2%
add-cube-cbrt57.2%
pow357.2%
frac-times44.7%
unpow244.7%
unpow344.7%
cbrt-div44.7%
unpow344.7%
add-cbrt-cube49.9%
cbrt-prod64.3%
unpow264.3%
div-inv64.4%
pow-flip64.4%
metadata-eval64.4%
Applied egg-rr64.4%
Final simplification60.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (* 2.0 (pow k 2.0))))
(*
t_s
(if (<= t_m 3.5e-125)
(* (/ 2.0 (pow k 2.0)) (/ (pow l 2.0) (* t_m (pow k 2.0))))
(if (<= t_m 2.3e+24)
(/ 2.0 (* (/ (pow t_m 3.0) l) (/ t_2 l)))
(if (<= t_m 2.22e+102)
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/ 2.0 (* t_2 (pow (/ t_m (pow l 0.6666666666666666)) 3.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 * pow(k, 2.0);
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / pow(k, 2.0)) * (pow(l, 2.0) / (t_m * pow(k, 2.0)));
} else if (t_m <= 2.3e+24) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (t_2 / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (t_2 * pow((t_m / pow(l, 0.6666666666666666)), 3.0));
}
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) :: t_2
real(8) :: tmp
t_2 = 2.0d0 * (k ** 2.0d0)
if (t_m <= 3.5d-125) then
tmp = (2.0d0 / (k ** 2.0d0)) * ((l ** 2.0d0) / (t_m * (k ** 2.0d0)))
else if (t_m <= 2.3d+24) then
tmp = 2.0d0 / (((t_m ** 3.0d0) / l) * (t_2 / l))
else if (t_m <= 2.22d+102) then
tmp = (((2.0d0 / k) / (k * (t_m ** 3.0d0))) * (l * l)) / (2.0d0 + ((k / t_m) ** 2.0d0))
else
tmp = 2.0d0 / (t_2 * ((t_m / (l ** 0.6666666666666666d0)) ** 3.0d0))
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 t_2 = 2.0 * Math.pow(k, 2.0);
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / Math.pow(k, 2.0)) * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 2.0)));
} else if (t_m <= 2.3e+24) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (t_2 / l));
} else if (t_m <= 2.22e+102) {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (t_2 * Math.pow((t_m / Math.pow(l, 0.6666666666666666)), 3.0));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): t_2 = 2.0 * math.pow(k, 2.0) tmp = 0 if t_m <= 3.5e-125: tmp = (2.0 / math.pow(k, 2.0)) * (math.pow(l, 2.0) / (t_m * math.pow(k, 2.0))) elif t_m <= 2.3e+24: tmp = 2.0 / ((math.pow(t_m, 3.0) / l) * (t_2 / l)) elif t_m <= 2.22e+102: tmp = (((2.0 / k) / (k * math.pow(t_m, 3.0))) * (l * l)) / (2.0 + math.pow((k / t_m), 2.0)) else: tmp = 2.0 / (t_2 * math.pow((t_m / math.pow(l, 0.6666666666666666)), 3.0)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 * (k ^ 2.0)) tmp = 0.0 if (t_m <= 3.5e-125) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64((l ^ 2.0) / Float64(t_m * (k ^ 2.0)))); elseif (t_m <= 2.3e+24) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(t_2 / l))); elseif (t_m <= 2.22e+102) tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64(t_2 * (Float64(t_m / (l ^ 0.6666666666666666)) ^ 3.0))); 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) t_2 = 2.0 * (k ^ 2.0); tmp = 0.0; if (t_m <= 3.5e-125) tmp = (2.0 / (k ^ 2.0)) * ((l ^ 2.0) / (t_m * (k ^ 2.0))); elseif (t_m <= 2.3e+24) tmp = 2.0 / (((t_m ^ 3.0) / l) * (t_2 / l)); elseif (t_m <= 2.22e+102) tmp = (((2.0 / k) / (k * (t_m ^ 3.0))) * (l * l)) / (2.0 + ((k / t_m) ^ 2.0)); else tmp = 2.0 / (t_2 * ((t_m / (l ^ 0.6666666666666666)) ^ 3.0)); 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_] := Block[{t$95$2 = N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.5e-125], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.3e+24], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$2 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.22e+102], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(t$95$m / N[Power[l, 0.6666666666666666], $MachinePrecision]), $MachinePrecision], 3.0], $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 \cdot {k}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{2}}\\
\mathbf{elif}\;t\_m \leq 2.3 \cdot 10^{+24}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{t\_2}{\ell}}\\
\mathbf{elif}\;t\_m \leq 2.22 \cdot 10^{+102}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_2 \cdot {\left(\frac{t\_m}{{\ell}^{0.6666666666666666}}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 60.8%
if 3.49999999999999998e-125 < t < 2.2999999999999999e24Initial program 58.0%
Simplified57.9%
associate-*l*44.3%
associate-/r*53.5%
associate-+r+53.5%
metadata-eval53.5%
associate-*l*53.5%
associate-*l/53.7%
associate-*l*53.7%
Applied egg-rr53.7%
associate-/l*60.0%
associate-*r*60.0%
Simplified60.0%
Taylor expanded in k around 0 45.4%
if 2.2999999999999999e24 < t < 2.22000000000000009e102Initial program 58.7%
Simplified73.8%
Taylor expanded in k around 0 68.2%
Taylor expanded in k around 0 73.4%
if 2.22000000000000009e102 < t Initial program 56.3%
Simplified54.7%
Taylor expanded in k around 0 54.7%
add-cube-cbrt54.7%
pow354.7%
associate-/r*44.7%
cbrt-div44.7%
rem-cbrt-cube49.9%
cbrt-prod64.3%
pow264.3%
Applied egg-rr64.3%
add-exp-log64.0%
log-pow28.2%
Applied egg-rr28.2%
*-commutative28.2%
pow-to-exp64.3%
pow1/328.2%
pow-pow28.2%
metadata-eval28.2%
Applied egg-rr28.2%
Final simplification54.2%
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 3.5e-125)
(* (/ 2.0 (pow k 2.0)) (/ (pow l 2.0) (* t_m (pow k 2.0))))
(if (<= t_m 1.3e+24)
(/ 2.0 (* (/ (pow t_m 3.0) l) (/ (* 2.0 (pow k 2.0)) l)))
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 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 <= 3.5e-125) {
tmp = (2.0 / pow(k, 2.0)) * (pow(l, 2.0) / (t_m * pow(k, 2.0)));
} else if (t_m <= 1.3e+24) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * ((2.0 * pow(k, 2.0)) / l));
} else {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 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 <= 3.5d-125) then
tmp = (2.0d0 / (k ** 2.0d0)) * ((l ** 2.0d0) / (t_m * (k ** 2.0d0)))
else if (t_m <= 1.3d+24) then
tmp = 2.0d0 / (((t_m ** 3.0d0) / l) * ((2.0d0 * (k ** 2.0d0)) / l))
else
tmp = (((2.0d0 / k) / (k * (t_m ** 3.0d0))) * (l * l)) / (2.0d0 + ((k / t_m) ** 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 <= 3.5e-125) {
tmp = (2.0 / Math.pow(k, 2.0)) * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 2.0)));
} else if (t_m <= 1.3e+24) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * ((2.0 * Math.pow(k, 2.0)) / l));
} else {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 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 <= 3.5e-125: tmp = (2.0 / math.pow(k, 2.0)) * (math.pow(l, 2.0) / (t_m * math.pow(k, 2.0))) elif t_m <= 1.3e+24: tmp = 2.0 / ((math.pow(t_m, 3.0) / l) * ((2.0 * math.pow(k, 2.0)) / l)) else: tmp = (((2.0 / k) / (k * math.pow(t_m, 3.0))) * (l * l)) / (2.0 + math.pow((k / t_m), 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 <= 3.5e-125) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64((l ^ 2.0) / Float64(t_m * (k ^ 2.0)))); elseif (t_m <= 1.3e+24) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) / l))); else tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 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 <= 3.5e-125) tmp = (2.0 / (k ^ 2.0)) * ((l ^ 2.0) / (t_m * (k ^ 2.0))); elseif (t_m <= 1.3e+24) tmp = 2.0 / (((t_m ^ 3.0) / l) * ((2.0 * (k ^ 2.0)) / l)); else tmp = (((2.0 / k) / (k * (t_m ^ 3.0))) * (l * l)) / (2.0 + ((k / t_m) ^ 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, 3.5e-125], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.3e+24], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $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 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{2}}\\
\mathbf{elif}\;t\_m \leq 1.3 \cdot 10^{+24}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{2 \cdot {k}^{2}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 60.8%
if 3.49999999999999998e-125 < t < 1.2999999999999999e24Initial program 58.0%
Simplified57.9%
associate-*l*44.3%
associate-/r*53.5%
associate-+r+53.5%
metadata-eval53.5%
associate-*l*53.5%
associate-*l/53.7%
associate-*l*53.7%
Applied egg-rr53.7%
associate-/l*60.0%
associate-*r*60.0%
Simplified60.0%
Taylor expanded in k around 0 45.4%
if 1.2999999999999999e24 < t Initial program 57.1%
Simplified61.6%
Taylor expanded in k around 0 59.9%
Taylor expanded in k around 0 61.5%
Final simplification59.1%
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 3.5e-125)
(* (/ 2.0 t_m) (/ (pow l 2.0) (pow k 4.0)))
(if (<= t_m 9.2e+25)
(/ 2.0 (* (/ (pow t_m 3.0) l) (/ (* 2.0 (pow k 2.0)) l)))
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 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 <= 3.5e-125) {
tmp = (2.0 / t_m) * (pow(l, 2.0) / pow(k, 4.0));
} else if (t_m <= 9.2e+25) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * ((2.0 * pow(k, 2.0)) / l));
} else {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 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 <= 3.5d-125) then
tmp = (2.0d0 / t_m) * ((l ** 2.0d0) / (k ** 4.0d0))
else if (t_m <= 9.2d+25) then
tmp = 2.0d0 / (((t_m ** 3.0d0) / l) * ((2.0d0 * (k ** 2.0d0)) / l))
else
tmp = (((2.0d0 / k) / (k * (t_m ** 3.0d0))) * (l * l)) / (2.0d0 + ((k / t_m) ** 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 <= 3.5e-125) {
tmp = (2.0 / t_m) * (Math.pow(l, 2.0) / Math.pow(k, 4.0));
} else if (t_m <= 9.2e+25) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * ((2.0 * Math.pow(k, 2.0)) / l));
} else {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 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 <= 3.5e-125: tmp = (2.0 / t_m) * (math.pow(l, 2.0) / math.pow(k, 4.0)) elif t_m <= 9.2e+25: tmp = 2.0 / ((math.pow(t_m, 3.0) / l) * ((2.0 * math.pow(k, 2.0)) / l)) else: tmp = (((2.0 / k) / (k * math.pow(t_m, 3.0))) * (l * l)) / (2.0 + math.pow((k / t_m), 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 <= 3.5e-125) tmp = Float64(Float64(2.0 / t_m) * Float64((l ^ 2.0) / (k ^ 4.0))); elseif (t_m <= 9.2e+25) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(2.0 * (k ^ 2.0)) / l))); else tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 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 <= 3.5e-125) tmp = (2.0 / t_m) * ((l ^ 2.0) / (k ^ 4.0)); elseif (t_m <= 9.2e+25) tmp = 2.0 / (((t_m ^ 3.0) / l) * ((2.0 * (k ^ 2.0)) / l)); else tmp = (((2.0 / k) / (k * (t_m ^ 3.0))) * (l * l)) / (2.0 + ((k / t_m) ^ 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, 3.5e-125], N[(N[(2.0 / t$95$m), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 9.2e+25], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $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 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{t\_m} \cdot \frac{{\ell}^{2}}{{k}^{4}}\\
\mathbf{elif}\;t\_m \leq 9.2 \cdot 10^{+25}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{2 \cdot {k}^{2}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 58.3%
associate-*r/58.3%
*-commutative58.3%
times-frac59.5%
Simplified59.5%
if 3.49999999999999998e-125 < t < 9.1999999999999992e25Initial program 58.0%
Simplified57.9%
associate-*l*44.3%
associate-/r*53.5%
associate-+r+53.5%
metadata-eval53.5%
associate-*l*53.5%
associate-*l/53.7%
associate-*l*53.7%
Applied egg-rr53.7%
associate-/l*60.0%
associate-*r*60.0%
Simplified60.0%
Taylor expanded in k around 0 45.4%
if 9.1999999999999992e25 < t Initial program 57.1%
Simplified61.6%
Taylor expanded in k around 0 59.9%
Taylor expanded in k around 0 61.5%
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 2.15e-125)
(* (/ 2.0 t_m) (/ (pow l 2.0) (pow k 4.0)))
(/ 2.0 (* (* 2.0 (* k k)) (pow (/ (pow t_m 1.5) 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 <= 2.15e-125) {
tmp = (2.0 / t_m) * (pow(l, 2.0) / pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * pow((pow(t_m, 1.5) / 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 <= 2.15d-125) then
tmp = (2.0d0 / t_m) * ((l ** 2.0d0) / (k ** 4.0d0))
else
tmp = 2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 1.5d0) / 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 <= 2.15e-125) {
tmp = (2.0 / t_m) * (Math.pow(l, 2.0) / Math.pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * Math.pow((Math.pow(t_m, 1.5) / 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 <= 2.15e-125: tmp = (2.0 / t_m) * (math.pow(l, 2.0) / math.pow(k, 4.0)) else: tmp = 2.0 / ((2.0 * (k * k)) * math.pow((math.pow(t_m, 1.5) / 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 <= 2.15e-125) tmp = Float64(Float64(2.0 / t_m) * Float64((l ^ 2.0) / (k ^ 4.0))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * (Float64((t_m ^ 1.5) / 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 <= 2.15e-125) tmp = (2.0 / t_m) * ((l ^ 2.0) / (k ^ 4.0)); else tmp = 2.0 / ((2.0 * (k * k)) * (((t_m ^ 1.5) / 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, 2.15e-125], N[(N[(2.0 / t$95$m), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $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 2.15 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{t\_m} \cdot \frac{{\ell}^{2}}{{k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
if t < 2.1500000000000001e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 58.3%
associate-*r/58.3%
*-commutative58.3%
times-frac59.5%
Simplified59.5%
if 2.1500000000000001e-125 < t Initial program 57.4%
Simplified57.1%
Taylor expanded in k around 0 51.4%
unpow244.2%
Applied egg-rr51.4%
add-sqr-sqrt51.4%
pow251.4%
associate-/r*45.4%
sqrt-div45.4%
sqrt-pow147.8%
metadata-eval47.8%
sqrt-prod24.7%
add-sqr-sqrt55.0%
Applied egg-rr55.0%
Final simplification57.9%
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 3.5e-125)
(* (/ 2.0 t_m) (/ (pow l 2.0) (pow k 4.0)))
(/ 2.0 (* (* 2.0 (* k k)) (* (/ (* t_m t_m) l) (/ t_m l)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-125) {
tmp = (2.0 / t_m) * (pow(l, 2.0) / pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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 <= 3.5d-125) then
tmp = (2.0d0 / t_m) * ((l ** 2.0d0) / (k ** 4.0d0))
else
tmp = 2.0d0 / ((2.0d0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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 <= 3.5e-125) {
tmp = (2.0 / t_m) * (Math.pow(l, 2.0) / Math.pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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 <= 3.5e-125: tmp = (2.0 / t_m) * (math.pow(l, 2.0) / math.pow(k, 4.0)) else: tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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 <= 3.5e-125) tmp = Float64(Float64(2.0 / t_m) * Float64((l ^ 2.0) / (k ^ 4.0))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(Float64(t_m * t_m) / l) * Float64(t_m / 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 <= 3.5e-125) tmp = (2.0 / t_m) * ((l ^ 2.0) / (k ^ 4.0)); else tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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, 3.5e-125], N[(N[(2.0 / t$95$m), $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / 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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-125}:\\
\;\;\;\;\frac{2}{t\_m} \cdot \frac{{\ell}^{2}}{{k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m \cdot t\_m}{\ell} \cdot \frac{t\_m}{\ell}\right)}\\
\end{array}
\end{array}
if t < 3.49999999999999998e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 58.3%
associate-*r/58.3%
*-commutative58.3%
times-frac59.5%
Simplified59.5%
if 3.49999999999999998e-125 < t Initial program 57.4%
Simplified57.1%
Taylor expanded in k around 0 51.4%
unpow244.2%
Applied egg-rr51.4%
associate-/r*45.4%
unpow345.4%
times-frac53.6%
pow253.6%
Applied egg-rr53.6%
unpow253.6%
Applied egg-rr53.6%
Final simplification57.3%
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 3.4e-125)
(* 2.0 (/ (pow l 2.0) (* t_m (pow k 4.0))))
(/ 2.0 (* (* 2.0 (* k k)) (* (/ (* t_m t_m) l) (/ t_m l)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.4e-125) {
tmp = 2.0 * (pow(l, 2.0) / (t_m * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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-125) then
tmp = 2.0d0 * ((l ** 2.0d0) / (t_m * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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-125) {
tmp = 2.0 * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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-125: tmp = 2.0 * (math.pow(l, 2.0) / (t_m * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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-125) tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64(t_m * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(Float64(t_m * t_m) / l) * Float64(t_m / 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-125) tmp = 2.0 * ((l ^ 2.0) / (t_m * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / 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-125], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / 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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.4 \cdot 10^{-125}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m \cdot t\_m}{\ell} \cdot \frac{t\_m}{\ell}\right)}\\
\end{array}
\end{array}
if t < 3.39999999999999975e-125Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 66.9%
associate-*r/66.9%
times-frac66.4%
times-frac68.2%
Simplified68.2%
Taylor expanded in k around 0 58.3%
if 3.39999999999999975e-125 < t Initial program 57.4%
Simplified57.1%
Taylor expanded in k around 0 51.4%
unpow244.2%
Applied egg-rr51.4%
associate-/r*45.4%
unpow345.4%
times-frac53.6%
pow253.6%
Applied egg-rr53.6%
unpow253.6%
Applied egg-rr53.6%
Final simplification56.6%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (* (/ (* t_m t_m) l) (/ t_m l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * (((t_m * t_m) / l) * (t_m / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(Float64(t_m * t_m) / l) * Float64(t_m / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * (((t_m * t_m) / l) * (t_m / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m \cdot t\_m}{\ell} \cdot \frac{t\_m}{\ell}\right)}
\end{array}
Initial program 54.4%
Simplified55.1%
Taylor expanded in k around 0 54.9%
unpow259.4%
Applied egg-rr54.9%
associate-/r*51.3%
unpow351.3%
times-frac57.7%
pow257.7%
Applied egg-rr57.7%
unpow257.7%
Applied egg-rr57.7%
Final simplification57.7%
herbie shell --seed 2024186
(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))))