
(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 22 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 (+ 2.0 (pow (/ k t_m) 2.0)))
(t_3 (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0)))))
(*
t_s
(if (<= t_m 1.4e-55)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(/
2.0
(*
(pow (* t_3 (* (cbrt (tan k)) (cbrt t_2))) 2.0)
(* t_3 (cbrt (* (tan k) 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 t_3 = cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0));
double tmp;
if (t_m <= 1.4e-55) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = 2.0 / (pow((t_3 * (cbrt(tan(k)) * cbrt(t_2))), 2.0) * (t_3 * cbrt((tan(k) * 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 = 2.0 + Math.pow((k / t_m), 2.0);
double t_3 = Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0));
double tmp;
if (t_m <= 1.4e-55) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = 2.0 / (Math.pow((t_3 * (Math.cbrt(Math.tan(k)) * Math.cbrt(t_2))), 2.0) * (t_3 * Math.cbrt((Math.tan(k) * 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)) t_3 = Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) tmp = 0.0 if (t_m <= 1.4e-55) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(2.0 / Float64((Float64(t_3 * Float64(cbrt(tan(k)) * cbrt(t_2))) ^ 2.0) * Float64(t_3 * cbrt(Float64(tan(k) * 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[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.4e-55], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$3 * N[(N[Power[N[Tan[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[t$95$2, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(t$95$3 * N[Power[N[(N[Tan[k], $MachinePrecision] * t$95$2), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t_3 := \sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.4 \cdot 10^{-55}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_3 \cdot \left(\sqrt[3]{\tan k} \cdot \sqrt[3]{t\_2}\right)\right)}^{2} \cdot \left(t\_3 \cdot \sqrt[3]{\tan k \cdot t\_2}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.39999999999999992e-55Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 1.39999999999999992e-55 < t Initial program 64.7%
unpow364.7%
times-frac74.7%
pow274.7%
Applied egg-rr74.7%
Applied egg-rr96.0%
cbrt-prod96.1%
unpow296.1%
hypot-undefine96.1%
metadata-eval96.1%
unpow296.1%
hypot-undefine96.1%
metadata-eval96.1%
unpow296.1%
add-sqr-sqrt96.1%
Applied egg-rr96.1%
associate-+r+96.1%
metadata-eval96.1%
Simplified96.1%
*-un-lft-identity96.1%
unpow296.1%
hypot-undefine96.1%
metadata-eval96.1%
unpow296.1%
hypot-undefine96.1%
metadata-eval96.1%
unpow296.1%
add-sqr-sqrt96.1%
Applied egg-rr96.1%
*-lft-identity96.1%
associate-+r+96.1%
metadata-eval96.1%
Simplified96.1%
Final simplification79.4%
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 6e-55)
(* l (* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(/
2.0
(pow
(*
(* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0)))
(cbrt (* (tan k) (+ 1.0 (pow (hypot 1.0 (/ k t_m)) 2.0)))))
3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6e-55) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = 2.0 / pow(((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))) * cbrt((tan(k) * (1.0 + pow(hypot(1.0, (k / t_m)), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6e-55) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = 2.0 / Math.pow(((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))) * Math.cbrt((Math.tan(k) * (1.0 + Math.pow(Math.hypot(1.0, (k / t_m)), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 6e-55) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(2.0 / (Float64(Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) * cbrt(Float64(tan(k) * Float64(1.0 + (hypot(1.0, Float64(k / t_m)) ^ 2.0))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 6e-55], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[Power[N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 6 \cdot 10^{-55}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right) \cdot \sqrt[3]{\tan k \cdot \left(1 + {\left(\mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)}^{2}\right)}\right)}^{3}}\\
\end{array}
\end{array}
if t < 6.00000000000000033e-55Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 6.00000000000000033e-55 < t Initial program 64.7%
unpow364.7%
times-frac74.7%
pow274.7%
Applied egg-rr74.7%
add-cube-cbrt74.4%
pow374.4%
Applied egg-rr96.0%
Final simplification79.4%
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 (cbrt (sin k))) (t_3 (+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))))
(*
t_s
(if (<= t_m 1.95e-60)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 1.32e+200)
(/
2.0
(*
t_3
(* (/ (pow t_m 1.5) l) (* (tan k) (/ (* (sin k) (pow t_m 1.5)) l)))))
(if (<= t_m 8e+271)
(/
2.0
(*
t_3
(pow (* (cbrt (tan k)) (* t_2 (* t_m (cbrt (pow l -2.0))))) 3.0)))
(/
2.0
(*
t_3
(* (tan k) (pow (* t_2 (/ t_m (pow (cbrt l) 2.0))) 3.0))))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = cbrt(sin(k));
double t_3 = 1.0 + (pow((k / t_m), 2.0) + 1.0);
double tmp;
if (t_m <= 1.95e-60) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 1.32e+200) {
tmp = 2.0 / (t_3 * ((pow(t_m, 1.5) / l) * (tan(k) * ((sin(k) * pow(t_m, 1.5)) / l))));
} else if (t_m <= 8e+271) {
tmp = 2.0 / (t_3 * pow((cbrt(tan(k)) * (t_2 * (t_m * cbrt(pow(l, -2.0))))), 3.0));
} else {
tmp = 2.0 / (t_3 * (tan(k) * pow((t_2 * (t_m / pow(cbrt(l), 2.0))), 3.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.cbrt(Math.sin(k));
double t_3 = 1.0 + (Math.pow((k / t_m), 2.0) + 1.0);
double tmp;
if (t_m <= 1.95e-60) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 1.32e+200) {
tmp = 2.0 / (t_3 * ((Math.pow(t_m, 1.5) / l) * (Math.tan(k) * ((Math.sin(k) * Math.pow(t_m, 1.5)) / l))));
} else if (t_m <= 8e+271) {
tmp = 2.0 / (t_3 * Math.pow((Math.cbrt(Math.tan(k)) * (t_2 * (t_m * Math.cbrt(Math.pow(l, -2.0))))), 3.0));
} else {
tmp = 2.0 / (t_3 * (Math.tan(k) * Math.pow((t_2 * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = cbrt(sin(k)) t_3 = Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)) tmp = 0.0 if (t_m <= 1.95e-60) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 1.32e+200) tmp = Float64(2.0 / Float64(t_3 * Float64(Float64((t_m ^ 1.5) / l) * Float64(tan(k) * Float64(Float64(sin(k) * (t_m ^ 1.5)) / l))))); elseif (t_m <= 8e+271) tmp = Float64(2.0 / Float64(t_3 * (Float64(cbrt(tan(k)) * Float64(t_2 * Float64(t_m * cbrt((l ^ -2.0))))) ^ 3.0))); else tmp = Float64(2.0 / Float64(t_3 * Float64(tan(k) * (Float64(t_2 * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.95e-60], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.32e+200], N[(2.0 / N[(t$95$3 * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 1.5], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 8e+271], N[(2.0 / N[(t$95$3 * N[Power[N[(N[Power[N[Tan[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$2 * N[(t$95$m * N[Power[N[Power[l, -2.0], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$3 * N[(N[Tan[k], $MachinePrecision] * N[Power[N[(t$95$2 * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \sqrt[3]{\sin k}\\
t_3 := 1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.95 \cdot 10^{-60}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 1.32 \cdot 10^{+200}:\\
\;\;\;\;\frac{2}{t\_3 \cdot \left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\tan k \cdot \frac{\sin k \cdot {t\_m}^{1.5}}{\ell}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 8 \cdot 10^{+271}:\\
\;\;\;\;\frac{2}{t\_3 \cdot {\left(\sqrt[3]{\tan k} \cdot \left(t\_2 \cdot \left(t\_m \cdot \sqrt[3]{{\ell}^{-2}}\right)\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_3 \cdot \left(\tan k \cdot {\left(t\_2 \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 1.9500000000000001e-60Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around inf 70.7%
times-frac71.2%
Simplified71.2%
*-un-lft-identity71.2%
div-inv71.3%
pow-flip71.5%
metadata-eval71.5%
Applied egg-rr71.5%
*-lft-identity71.5%
Simplified71.5%
if 1.9500000000000001e-60 < t < 1.3199999999999999e200Initial program 64.3%
add-sqr-sqrt64.3%
associate-*l*64.3%
sqrt-div64.3%
sqrt-pow164.3%
metadata-eval64.3%
sqrt-prod32.3%
add-sqr-sqrt49.5%
sqrt-div49.5%
sqrt-pow152.5%
metadata-eval52.5%
sqrt-prod40.1%
add-sqr-sqrt85.2%
Applied egg-rr85.2%
associate-*l*91.4%
associate-*l/91.4%
Applied egg-rr91.4%
if 1.3199999999999999e200 < t < 7.99999999999999962e271Initial program 69.5%
add-cube-cbrt69.5%
pow369.5%
*-commutative69.5%
cbrt-prod69.5%
div-inv69.5%
cbrt-prod69.5%
rem-cbrt-cube76.0%
pow276.0%
pow-flip76.0%
metadata-eval76.0%
Applied egg-rr76.0%
add-cube-cbrt76.0%
pow376.0%
cbrt-prod76.0%
unpow376.0%
add-cbrt-cube87.3%
Applied egg-rr87.3%
if 7.99999999999999962e271 < t Initial program 67.9%
unpow367.9%
times-frac68.2%
pow268.2%
Applied egg-rr68.2%
add-cube-cbrt68.2%
pow368.2%
*-commutative68.2%
cbrt-prod68.2%
frac-times67.9%
unpow267.9%
unpow367.9%
cbrt-div67.9%
unpow367.9%
add-cbrt-cube68.7%
cbrt-prod83.8%
pow283.8%
Applied egg-rr83.8%
Final simplification77.4%
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 4.5e-55)
(* l (* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(/
2.0
(*
(pow
(* (cbrt (tan k)) (* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0))))
3.0)
(+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.5e-55) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = 2.0 / (pow((cbrt(tan(k)) * (cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0)))), 3.0) * (1.0 + (pow((k / t_m), 2.0) + 1.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.5e-55) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.tan(k)) * (Math.cbrt(Math.sin(k)) * (t_m * Math.pow(Math.cbrt(l), -2.0)))), 3.0) * (1.0 + (Math.pow((k / t_m), 2.0) + 1.0)));
}
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 <= 4.5e-55) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(2.0 / Float64((Float64(cbrt(tan(k)) * Float64(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0)))) ^ 3.0) * Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 4.5e-55], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Tan[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.5 \cdot 10^{-55}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\tan k} \cdot \left(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right)\right)}^{3} \cdot \left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right)}\\
\end{array}
\end{array}
if t < 4.4999999999999997e-55Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 4.4999999999999997e-55 < t Initial program 64.7%
unpow364.7%
times-frac74.7%
pow274.7%
Applied egg-rr74.7%
add-cube-cbrt74.6%
Applied egg-rr83.7%
unpow283.7%
unpow383.8%
cube-prod78.9%
rem-cube-cbrt79.0%
Simplified79.0%
add-cube-cbrt78.9%
pow378.9%
cbrt-prod79.0%
cbrt-prod78.9%
unpow378.9%
add-cbrt-cube94.8%
div-inv94.8%
pow-flip94.9%
metadata-eval94.9%
Applied egg-rr94.9%
Final simplification79.0%
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 6.5e-54)
(* l (* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(/
2.0
(*
(+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))
(* (tan k) (pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6.5e-54) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = 2.0 / ((1.0 + (pow((k / t_m), 2.0) + 1.0)) * (tan(k) * pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6.5e-54) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = 2.0 / ((1.0 + (Math.pow((k / t_m), 2.0) + 1.0)) * (Math.tan(k) * Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 6.5e-54) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(2.0 / Float64(Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)) * Float64(tan(k) * (Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 6.5e-54], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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 6.5 \cdot 10^{-54}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right) \cdot \left(\tan k \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 6.49999999999999991e-54Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 6.49999999999999991e-54 < t Initial program 64.7%
unpow364.7%
times-frac74.7%
pow274.7%
Applied egg-rr74.7%
add-cube-cbrt74.6%
pow374.5%
*-commutative74.5%
cbrt-prod74.5%
frac-times64.6%
unpow264.6%
unpow364.6%
cbrt-div64.6%
unpow364.6%
add-cbrt-cube70.8%
cbrt-prod83.8%
pow283.8%
Applied egg-rr83.8%
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 (+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))))
(*
t_s
(if (<= t_m 2.05e-60)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 8e+199)
(/
2.0
(*
t_2
(* (/ (pow t_m 1.5) l) (* (tan k) (/ (* (sin k) (pow t_m 1.5)) l)))))
(/
2.0
(*
t_2
(*
(tan k)
(pow
(* (cbrt (sin k)) (* 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 = 1.0 + (pow((k / t_m), 2.0) + 1.0);
double tmp;
if (t_m <= 2.05e-60) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 8e+199) {
tmp = 2.0 / (t_2 * ((pow(t_m, 1.5) / l) * (tan(k) * ((sin(k) * pow(t_m, 1.5)) / l))));
} else {
tmp = 2.0 / (t_2 * (tan(k) * pow((cbrt(sin(k)) * (t_m * pow(l, -0.6666666666666666))), 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 = 1.0 + (Math.pow((k / t_m), 2.0) + 1.0);
double tmp;
if (t_m <= 2.05e-60) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 8e+199) {
tmp = 2.0 / (t_2 * ((Math.pow(t_m, 1.5) / l) * (Math.tan(k) * ((Math.sin(k) * Math.pow(t_m, 1.5)) / l))));
} else {
tmp = 2.0 / (t_2 * (Math.tan(k) * Math.pow((Math.cbrt(Math.sin(k)) * (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(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)) tmp = 0.0 if (t_m <= 2.05e-60) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 8e+199) tmp = Float64(2.0 / Float64(t_2 * Float64(Float64((t_m ^ 1.5) / l) * Float64(tan(k) * Float64(Float64(sin(k) * (t_m ^ 1.5)) / l))))); else tmp = Float64(2.0 / Float64(t_2 * Float64(tan(k) * (Float64(cbrt(sin(k)) * Float64(t_m * (l ^ -0.6666666666666666))) ^ 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[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.05e-60], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 8e+199], N[(2.0 / N[(t$95$2 * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 1.5], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[(N[Tan[k], $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m * N[Power[l, -0.6666666666666666], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.05 \cdot 10^{-60}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 8 \cdot 10^{+199}:\\
\;\;\;\;\frac{2}{t\_2 \cdot \left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\tan k \cdot \frac{\sin k \cdot {t\_m}^{1.5}}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t\_2 \cdot \left(\tan k \cdot {\left(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\ell}^{-0.6666666666666666}\right)\right)}^{3}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 2.05000000000000006e-60Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around inf 70.7%
times-frac71.2%
Simplified71.2%
*-un-lft-identity71.2%
div-inv71.3%
pow-flip71.5%
metadata-eval71.5%
Applied egg-rr71.5%
*-lft-identity71.5%
Simplified71.5%
if 2.05000000000000006e-60 < t < 8.00000000000000078e199Initial program 64.3%
add-sqr-sqrt64.3%
associate-*l*64.3%
sqrt-div64.3%
sqrt-pow164.3%
metadata-eval64.3%
sqrt-prod32.3%
add-sqr-sqrt49.5%
sqrt-div49.5%
sqrt-pow152.5%
metadata-eval52.5%
sqrt-prod40.1%
add-sqr-sqrt85.2%
Applied egg-rr85.2%
associate-*l*91.4%
associate-*l/91.4%
Applied egg-rr91.4%
if 8.00000000000000078e199 < t Initial program 69.0%
add-cube-cbrt69.0%
pow369.0%
*-commutative69.0%
cbrt-prod69.0%
div-inv69.0%
cbrt-prod69.0%
rem-cbrt-cube74.0%
pow274.0%
pow-flip74.0%
metadata-eval74.0%
Applied egg-rr74.0%
pow1/374.0%
pow-pow45.8%
metadata-eval45.8%
Applied egg-rr45.8%
Final simplification73.9%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<= t_m 2.8e-60)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 1.32e+200)
(/
2.0
(*
(+ 1.0 (+ t_2 1.0))
(* (/ (pow t_m 1.5) l) (* (tan k) (/ (* (sin k) (pow t_m 1.5)) l)))))
(*
l
(/
(* l (/ 2.0 (+ 2.0 t_2)))
(pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double tmp;
if (t_m <= 2.8e-60) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 1.32e+200) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * ((pow(t_m, 1.5) / l) * (tan(k) * ((sin(k) * pow(t_m, 1.5)) / l))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 2.8e-60) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 1.32e+200) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * ((Math.pow(t_m, 1.5) / l) * (Math.tan(k) * ((Math.sin(k) * Math.pow(t_m, 1.5)) / l))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (t_m <= 2.8e-60) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 1.32e+200) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(t_2 + 1.0)) * Float64(Float64((t_m ^ 1.5) / l) * Float64(tan(k) * Float64(Float64(sin(k) * (t_m ^ 1.5)) / l))))); else tmp = Float64(l * Float64(Float64(l * Float64(2.0 / Float64(2.0 + t_2))) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.8e-60], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.32e+200], N[(2.0 / N[(N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 1.5], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(l * N[(2.0 / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 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)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-60}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 1.32 \cdot 10^{+200}:\\
\;\;\;\;\frac{2}{\left(1 + \left(t\_2 + 1\right)\right) \cdot \left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\tan k \cdot \frac{\sin k \cdot {t\_m}^{1.5}}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell \cdot \frac{2}{2 + t\_2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 2.8000000000000002e-60Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around inf 70.7%
times-frac71.2%
Simplified71.2%
*-un-lft-identity71.2%
div-inv71.3%
pow-flip71.5%
metadata-eval71.5%
Applied egg-rr71.5%
*-lft-identity71.5%
Simplified71.5%
if 2.8000000000000002e-60 < t < 1.3199999999999999e200Initial program 64.3%
add-sqr-sqrt64.3%
associate-*l*64.3%
sqrt-div64.3%
sqrt-pow164.3%
metadata-eval64.3%
sqrt-prod32.3%
add-sqr-sqrt49.5%
sqrt-div49.5%
sqrt-pow152.5%
metadata-eval52.5%
sqrt-prod40.1%
add-sqr-sqrt85.2%
Applied egg-rr85.2%
associate-*l*91.4%
associate-*l/91.4%
Applied egg-rr91.4%
if 1.3199999999999999e200 < t Initial program 69.0%
Simplified54.5%
associate-*r*55.0%
associate-*l/55.0%
Applied egg-rr55.0%
Taylor expanded in k around 0 55.0%
add-cube-cbrt55.0%
pow255.0%
*-commutative55.0%
cbrt-prod55.0%
unpow355.0%
add-cbrt-cube55.0%
unpow255.0%
cbrt-prod55.0%
pow255.0%
*-commutative55.0%
cbrt-prod55.0%
unpow355.0%
add-cbrt-cube60.4%
unpow260.4%
cbrt-prod86.7%
pow286.7%
Applied egg-rr86.7%
unpow286.7%
unpow386.7%
Simplified86.7%
Final simplification77.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)) (t_3 (/ (pow t_m 1.5) l)))
(*
t_s
(if (<= t_m 2.3e-54)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 6e+184)
(/ 2.0 (* (+ 1.0 (+ t_2 1.0)) (* (tan k) (* t_3 (* (sin k) t_3)))))
(*
l
(/
(* l (/ 2.0 (+ 2.0 t_2)))
(pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double t_3 = pow(t_m, 1.5) / l;
double tmp;
if (t_m <= 2.3e-54) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 6e+184) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (tan(k) * (t_3 * (sin(k) * t_3))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double t_3 = Math.pow(t_m, 1.5) / l;
double tmp;
if (t_m <= 2.3e-54) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 6e+184) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (Math.tan(k) * (t_3 * (Math.sin(k) * t_3))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 t_3 = Float64((t_m ^ 1.5) / l) tmp = 0.0 if (t_m <= 2.3e-54) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 6e+184) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(t_2 + 1.0)) * Float64(tan(k) * Float64(t_3 * Float64(sin(k) * t_3))))); else tmp = Float64(l * Float64(Float64(l * Float64(2.0 / Float64(2.0 + t_2))) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.3e-54], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6e+184], N[(2.0 / N[(N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(t$95$3 * N[(N[Sin[k], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(l * N[(2.0 / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 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)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t_3 := \frac{{t\_m}^{1.5}}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.3 \cdot 10^{-54}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 6 \cdot 10^{+184}:\\
\;\;\;\;\frac{2}{\left(1 + \left(t\_2 + 1\right)\right) \cdot \left(\tan k \cdot \left(t\_3 \cdot \left(\sin k \cdot t\_3\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell \cdot \frac{2}{2 + t\_2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 2.2999999999999999e-54Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 2.2999999999999999e-54 < t < 5.99999999999999973e184Initial program 62.8%
add-sqr-sqrt62.8%
associate-*l*62.8%
sqrt-div62.8%
sqrt-pow162.8%
metadata-eval62.8%
sqrt-prod31.5%
add-sqr-sqrt48.3%
sqrt-div48.4%
sqrt-pow151.7%
metadata-eval51.7%
sqrt-prod40.2%
add-sqr-sqrt85.6%
Applied egg-rr85.6%
if 5.99999999999999973e184 < t Initial program 68.9%
Simplified56.0%
associate-*r*56.4%
associate-*l/56.4%
Applied egg-rr56.4%
Taylor expanded in k around 0 56.4%
add-cube-cbrt56.4%
pow256.4%
*-commutative56.4%
cbrt-prod56.4%
unpow356.4%
add-cbrt-cube56.4%
unpow256.4%
cbrt-prod56.4%
pow256.4%
*-commutative56.4%
cbrt-prod56.4%
unpow356.4%
add-cbrt-cube61.2%
unpow261.2%
cbrt-prod88.3%
pow288.3%
Applied egg-rr88.3%
unpow288.3%
unpow388.2%
Simplified88.2%
Final simplification76.4%
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 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<= t_m 8e-55)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 2.2e+149)
(/
2.0
(*
(+ 1.0 (+ t_2 1.0))
(* (tan k) (* (/ (pow t_m 2.0) l) (* (sin k) (/ t_m l))))))
(*
l
(/
(* l (/ 2.0 (+ 2.0 t_2)))
(pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double tmp;
if (t_m <= 8e-55) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 2.2e+149) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (tan(k) * ((pow(t_m, 2.0) / l) * (sin(k) * (t_m / l)))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 8e-55) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 2.2e+149) {
tmp = 2.0 / ((1.0 + (t_2 + 1.0)) * (Math.tan(k) * ((Math.pow(t_m, 2.0) / l) * (Math.sin(k) * (t_m / l)))));
} else {
tmp = l * ((l * (2.0 / (2.0 + t_2))) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (t_m <= 8e-55) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 2.2e+149) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(t_2 + 1.0)) * Float64(tan(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(sin(k) * Float64(t_m / l)))))); else tmp = Float64(l * Float64(Float64(l * Float64(2.0 / Float64(2.0 + t_2))) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 8e-55], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.2e+149], N[(2.0 / N[(N[(1.0 + N[(t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(l * N[(2.0 / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 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)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 8 \cdot 10^{-55}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 2.2 \cdot 10^{+149}:\\
\;\;\;\;\frac{2}{\left(1 + \left(t\_2 + 1\right)\right) \cdot \left(\tan k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \left(\sin k \cdot \frac{t\_m}{\ell}\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell \cdot \frac{2}{2 + t\_2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 7.99999999999999996e-55Initial program 51.2%
Simplified49.3%
associate-*r*57.1%
associate-*l/55.8%
Applied egg-rr55.8%
Taylor expanded in k around inf 71.0%
times-frac71.6%
Simplified71.6%
*-un-lft-identity71.6%
div-inv71.6%
pow-flip71.8%
metadata-eval71.8%
Applied egg-rr71.8%
*-lft-identity71.8%
Simplified71.8%
if 7.99999999999999996e-55 < t < 2.2e149Initial program 67.7%
unpow367.7%
times-frac82.5%
pow282.5%
Applied egg-rr82.5%
associate-*l*84.6%
Applied egg-rr84.6%
if 2.2e149 < t Initial program 61.0%
Simplified51.4%
associate-*r*54.8%
associate-*l/54.8%
Applied egg-rr54.8%
Taylor expanded in k around 0 54.8%
add-cube-cbrt54.8%
pow254.8%
*-commutative54.8%
cbrt-prod54.8%
unpow354.8%
add-cbrt-cube54.8%
unpow254.8%
cbrt-prod54.8%
pow254.8%
*-commutative54.8%
cbrt-prod54.8%
unpow354.8%
add-cbrt-cube58.6%
unpow258.6%
cbrt-prod86.0%
pow286.0%
Applied egg-rr86.0%
unpow286.0%
unpow386.0%
Simplified86.0%
Final simplification76.0%
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 (* l (/ 2.0 (+ 2.0 (pow (/ k t_m) 2.0))))))
(*
t_s
(if (<= t_m 1.7e-26)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 3.9e+96)
(* l (/ t_2 (* (sin k) (* (tan k) (pow t_m 3.0)))))
(* l (/ t_2 (pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = l * (2.0 / (2.0 + pow((k / t_m), 2.0)));
double tmp;
if (t_m <= 1.7e-26) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 3.9e+96) {
tmp = l * (t_2 / (sin(k) * (tan(k) * pow(t_m, 3.0))));
} else {
tmp = l * (t_2 / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = l * (2.0 / (2.0 + Math.pow((k / t_m), 2.0)));
double tmp;
if (t_m <= 1.7e-26) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 3.9e+96) {
tmp = l * (t_2 / (Math.sin(k) * (Math.tan(k) * Math.pow(t_m, 3.0))));
} else {
tmp = l * (t_2 / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(l * Float64(2.0 / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) tmp = 0.0 if (t_m <= 1.7e-26) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 3.9e+96) tmp = Float64(l * Float64(t_2 / Float64(sin(k) * Float64(tan(k) * (t_m ^ 3.0))))); else tmp = Float64(l * Float64(t_2 / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(l * N[(2.0 / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.7e-26], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.9e+96], N[(l * N[(t$95$2 / N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(t$95$2 / N[Power[N[(t$95$m * N[Power[N[Power[k, 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)
\\
\begin{array}{l}
t_2 := \ell \cdot \frac{2}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.7 \cdot 10^{-26}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 3.9 \cdot 10^{+96}:\\
\;\;\;\;\ell \cdot \frac{t\_2}{\sin k \cdot \left(\tan k \cdot {t\_m}^{3}\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{t\_2}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 1.70000000000000007e-26Initial program 51.9%
Simplified50.1%
associate-*r*57.7%
associate-*l/56.5%
Applied egg-rr56.5%
Taylor expanded in k around inf 71.3%
times-frac71.8%
Simplified71.8%
*-un-lft-identity71.8%
div-inv71.8%
pow-flip72.1%
metadata-eval72.1%
Applied egg-rr72.1%
*-lft-identity72.1%
Simplified72.1%
if 1.70000000000000007e-26 < t < 3.9e96Initial program 77.6%
Simplified77.2%
associate-*r*84.7%
associate-*l/93.3%
Applied egg-rr93.3%
*-commutative93.3%
associate-*r*93.3%
Applied egg-rr93.3%
if 3.9e96 < t Initial program 54.7%
Simplified47.3%
associate-*r*50.1%
associate-*l/50.1%
Applied egg-rr50.1%
Taylor expanded in k around 0 50.1%
add-cube-cbrt50.1%
pow250.1%
*-commutative50.1%
cbrt-prod50.1%
unpow350.1%
add-cbrt-cube50.1%
unpow250.1%
cbrt-prod50.1%
pow250.1%
*-commutative50.1%
cbrt-prod50.1%
unpow350.1%
add-cbrt-cube57.2%
unpow257.2%
cbrt-prod78.5%
pow278.5%
Applied egg-rr78.5%
unpow278.5%
unpow378.4%
Simplified78.4%
Final simplification75.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ 2.0 (+ 2.0 (pow (/ k t_m) 2.0)))))
(*
t_s
(if (<= t_m 2.4e-60)
(*
l
(* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(if (<= t_m 9.2e+77)
(* l (* (/ t_2 (pow t_m 3.0)) (/ l (* (sin k) (tan k)))))
(* l (/ (* l t_2) (pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 / (2.0 + pow((k / t_m), 2.0));
double tmp;
if (t_m <= 2.4e-60) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else if (t_m <= 9.2e+77) {
tmp = l * ((t_2 / pow(t_m, 3.0)) * (l / (sin(k) * tan(k))));
} else {
tmp = l * ((l * t_2) / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 / (2.0 + Math.pow((k / t_m), 2.0));
double tmp;
if (t_m <= 2.4e-60) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else if (t_m <= 9.2e+77) {
tmp = l * ((t_2 / Math.pow(t_m, 3.0)) * (l / (Math.sin(k) * Math.tan(k))));
} else {
tmp = l * ((l * t_2) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 / Float64(2.0 + (Float64(k / t_m) ^ 2.0))) tmp = 0.0 if (t_m <= 2.4e-60) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); elseif (t_m <= 9.2e+77) tmp = Float64(l * Float64(Float64(t_2 / (t_m ^ 3.0)) * Float64(l / Float64(sin(k) * tan(k))))); else tmp = Float64(l * Float64(Float64(l * t_2) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 2.4e-60], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 9.2e+77], N[(l * N[(N[(t$95$2 / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] * N[(l / N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(l * t$95$2), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 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)
\\
\begin{array}{l}
t_2 := \frac{2}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.4 \cdot 10^{-60}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{elif}\;t\_m \leq 9.2 \cdot 10^{+77}:\\
\;\;\;\;\ell \cdot \left(\frac{t\_2}{{t\_m}^{3}} \cdot \frac{\ell}{\sin k \cdot \tan k}\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell \cdot t\_2}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 2.40000000000000009e-60Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around inf 70.7%
times-frac71.2%
Simplified71.2%
*-un-lft-identity71.2%
div-inv71.3%
pow-flip71.5%
metadata-eval71.5%
Applied egg-rr71.5%
*-lft-identity71.5%
Simplified71.5%
if 2.40000000000000009e-60 < t < 9.19999999999999979e77Initial program 80.1%
Simplified80.1%
associate-*r*84.2%
*-commutative84.2%
associate-*l/91.6%
Applied egg-rr91.6%
times-frac84.2%
Simplified84.2%
if 9.19999999999999979e77 < t Initial program 54.7%
Simplified47.5%
associate-*r*52.2%
associate-*l/52.2%
Applied egg-rr52.2%
Taylor expanded in k around 0 50.3%
add-cube-cbrt50.3%
pow250.3%
*-commutative50.3%
cbrt-prod50.2%
unpow350.2%
add-cbrt-cube50.2%
unpow250.2%
cbrt-prod50.3%
pow250.3%
*-commutative50.3%
cbrt-prod50.2%
unpow350.2%
add-cbrt-cube57.0%
unpow257.0%
cbrt-prod77.4%
pow277.4%
Applied egg-rr77.4%
unpow277.4%
unpow377.4%
Simplified77.4%
Final simplification74.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 840000000000.0)
(* l (* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(*
l
(/
(* l (/ 2.0 (+ 2.0 (pow (/ k t_m) 2.0))))
(pow (* t_m (pow (cbrt k) 2.0)) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 840000000000.0) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = l * ((l * (2.0 / (2.0 + pow((k / t_m), 2.0)))) / pow((t_m * pow(cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 840000000000.0) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = l * ((l * (2.0 / (2.0 + Math.pow((k / t_m), 2.0)))) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 840000000000.0) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(l * Float64(Float64(l * Float64(2.0 / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 840000000000.0], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(N[(l * N[(2.0 / 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[k, 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}\;t\_m \leq 840000000000:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell \cdot \frac{2}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
if t < 8.4e11Initial program 53.4%
Simplified51.7%
associate-*r*59.4%
associate-*l/58.3%
Applied egg-rr58.3%
Taylor expanded in k around inf 71.8%
times-frac72.3%
Simplified72.3%
*-un-lft-identity72.3%
div-inv72.3%
pow-flip72.5%
metadata-eval72.5%
Applied egg-rr72.5%
*-lft-identity72.5%
Simplified72.5%
if 8.4e11 < t Initial program 61.3%
Simplified56.0%
associate-*r*59.9%
associate-*l/63.9%
Applied egg-rr63.9%
Taylor expanded in k around 0 53.8%
add-cube-cbrt53.8%
pow253.8%
*-commutative53.8%
cbrt-prod53.7%
unpow353.7%
add-cbrt-cube53.7%
unpow253.7%
cbrt-prod53.7%
pow253.7%
*-commutative53.7%
cbrt-prod53.7%
unpow353.7%
add-cbrt-cube58.5%
unpow258.5%
cbrt-prod73.3%
pow273.3%
Applied egg-rr73.3%
unpow273.3%
unpow373.3%
Simplified73.3%
Final simplification72.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.9e+35)
(* l (* 2.0 (* (* l (pow k -2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))
(* (/ 1.0 (pow (* t_m (pow (cbrt k) 2.0)) 3.0)) (* l l)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e+35) {
tmp = l * (2.0 * ((l * pow(k, -2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0)))));
} else {
tmp = (1.0 / pow((t_m * pow(cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e+35) {
tmp = l * (2.0 * ((l * Math.pow(k, -2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0)))));
} else {
tmp = (1.0 / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.9e+35) tmp = Float64(l * Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0)))))); else tmp = Float64(Float64(1.0 / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0)) * Float64(l * l)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.9e+35], N[(l * N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.9 \cdot 10^{+35}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \frac{\cos k}{t\_m \cdot {\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}} \cdot \left(\ell \cdot \ell\right)\\
\end{array}
\end{array}
if t < 2.89999999999999995e35Initial program 53.6%
Simplified51.4%
associate-*r*59.1%
associate-*l/58.8%
Applied egg-rr58.8%
Taylor expanded in k around inf 71.0%
times-frac72.0%
Simplified72.0%
*-un-lft-identity72.0%
div-inv72.0%
pow-flip72.5%
metadata-eval72.5%
Applied egg-rr72.5%
*-lft-identity72.5%
Simplified72.5%
if 2.89999999999999995e35 < t Initial program 61.3%
Simplified57.2%
Taylor expanded in k around 0 52.6%
add-cube-cbrt54.7%
pow254.7%
*-commutative54.7%
cbrt-prod54.7%
unpow354.7%
add-cbrt-cube54.7%
unpow254.7%
cbrt-prod54.7%
pow254.7%
*-commutative54.7%
cbrt-prod54.6%
unpow354.6%
add-cbrt-cube59.9%
unpow259.9%
cbrt-prod75.9%
pow275.9%
Applied egg-rr70.7%
unpow275.9%
unpow375.9%
Simplified70.7%
Final simplification72.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.4e+35)
(* 2.0 (* (* l (pow k -2.0)) (* l (/ (/ (cos k) t_m) (pow (sin k) 2.0)))))
(* (/ 1.0 (pow (* t_m (pow (cbrt k) 2.0)) 3.0)) (* l l)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.4e+35) {
tmp = 2.0 * ((l * pow(k, -2.0)) * (l * ((cos(k) / t_m) / pow(sin(k), 2.0))));
} else {
tmp = (1.0 / pow((t_m * pow(cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.4e+35) {
tmp = 2.0 * ((l * Math.pow(k, -2.0)) * (l * ((Math.cos(k) / t_m) / Math.pow(Math.sin(k), 2.0))));
} else {
tmp = (1.0 / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.4e+35) tmp = Float64(2.0 * Float64(Float64(l * (k ^ -2.0)) * Float64(l * Float64(Float64(cos(k) / t_m) / (sin(k) ^ 2.0))))); else tmp = Float64(Float64(1.0 / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0)) * Float64(l * l)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3.4e+35], N[(2.0 * N[(N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] * N[(l * N[(N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.4 \cdot 10^{+35}:\\
\;\;\;\;2 \cdot \left(\left(\ell \cdot {k}^{-2}\right) \cdot \left(\ell \cdot \frac{\frac{\cos k}{t\_m}}{{\sin k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}} \cdot \left(\ell \cdot \ell\right)\\
\end{array}
\end{array}
if t < 3.4000000000000001e35Initial program 53.6%
Simplified51.4%
associate-*r*59.1%
associate-*l/58.8%
Applied egg-rr58.8%
Taylor expanded in k around inf 71.0%
times-frac72.0%
Simplified72.0%
*-un-lft-identity72.0%
*-commutative72.0%
div-inv72.0%
pow-flip72.5%
metadata-eval72.5%
associate-/r*72.5%
Applied egg-rr72.5%
*-lft-identity72.5%
*-commutative72.5%
associate-*r*72.5%
associate-*l*71.2%
*-commutative71.2%
Simplified71.2%
if 3.4000000000000001e35 < t Initial program 61.3%
Simplified57.2%
Taylor expanded in k around 0 52.6%
add-cube-cbrt54.7%
pow254.7%
*-commutative54.7%
cbrt-prod54.7%
unpow354.7%
add-cbrt-cube54.7%
unpow254.7%
cbrt-prod54.7%
pow254.7%
*-commutative54.7%
cbrt-prod54.6%
unpow354.6%
add-cbrt-cube59.9%
unpow259.9%
cbrt-prod75.9%
pow275.9%
Applied egg-rr70.7%
unpow275.9%
unpow375.9%
Simplified70.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.7e-70)
(* l (* 2.0 (* (/ l (pow k 2.0)) (/ (cos k) (* t_m (pow k 2.0))))))
(* (/ 1.0 (pow (* t_m (pow (cbrt k) 2.0)) 3.0)) (* l l)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-70) {
tmp = l * (2.0 * ((l / pow(k, 2.0)) * (cos(k) / (t_m * pow(k, 2.0)))));
} else {
tmp = (1.0 / pow((t_m * pow(cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-70) {
tmp = l * (2.0 * ((l / Math.pow(k, 2.0)) * (Math.cos(k) / (t_m * Math.pow(k, 2.0)))));
} else {
tmp = (1.0 / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.7e-70) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / (k ^ 2.0)) * Float64(cos(k) / Float64(t_m * (k ^ 2.0)))))); else tmp = Float64(Float64(1.0 / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0)) * Float64(l * l)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.7e-70], N[(l * N[(2.0 * N[(N[(l / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.7 \cdot 10^{-70}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \left(\frac{\ell}{{k}^{2}} \cdot \frac{\cos k}{t\_m \cdot {k}^{2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}} \cdot \left(\ell \cdot \ell\right)\\
\end{array}
\end{array}
if t < 1.69999999999999998e-70Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around inf 70.7%
times-frac71.2%
Simplified71.2%
Taylor expanded in k around 0 61.7%
if 1.69999999999999998e-70 < t Initial program 65.6%
Simplified61.4%
Taylor expanded in k around 0 55.8%
add-cube-cbrt58.7%
pow258.7%
*-commutative58.7%
cbrt-prod58.7%
unpow358.7%
add-cbrt-cube58.7%
unpow258.7%
cbrt-prod58.6%
pow258.6%
*-commutative58.6%
cbrt-prod58.6%
unpow358.6%
add-cbrt-cube62.5%
unpow262.5%
cbrt-prod74.1%
pow274.1%
Applied egg-rr69.0%
unpow274.1%
unpow374.1%
Simplified69.0%
Final simplification64.0%
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 1e-70)
(* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))
(* (/ 1.0 (pow (* t_m (pow (cbrt k) 2.0)) 3.0)) (* l l)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1e-70) {
tmp = l * (2.0 * ((l / t_m) / pow(k, 4.0)));
} else {
tmp = (1.0 / pow((t_m * pow(cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1e-70) {
tmp = l * (2.0 * ((l / t_m) / Math.pow(k, 4.0)));
} else {
tmp = (1.0 / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0)) * (l * l);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1e-70) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0)))); else tmp = Float64(Float64(1.0 / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0)) * Float64(l * l)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1e-70], N[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 10^{-70}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}} \cdot \left(\ell \cdot \ell\right)\\
\end{array}
\end{array}
if t < 9.99999999999999996e-71Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around 0 52.0%
Taylor expanded in k around inf 59.2%
*-commutative59.2%
associate-/r*60.6%
Simplified60.6%
if 9.99999999999999996e-71 < t Initial program 65.6%
Simplified61.4%
Taylor expanded in k around 0 55.8%
add-cube-cbrt58.7%
pow258.7%
*-commutative58.7%
cbrt-prod58.7%
unpow358.7%
add-cbrt-cube58.7%
unpow258.7%
cbrt-prod58.6%
pow258.6%
*-commutative58.6%
cbrt-prod58.6%
unpow358.6%
add-cbrt-cube62.5%
unpow262.5%
cbrt-prod74.1%
pow274.1%
Applied egg-rr69.0%
unpow274.1%
unpow374.1%
Simplified69.0%
Final simplification63.3%
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 1.25e-70)
(* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))
(* l (* l (pow (/ (cbrt (pow k -2.0)) t_m) 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 <= 1.25e-70) {
tmp = l * (2.0 * ((l / t_m) / pow(k, 4.0)));
} else {
tmp = l * (l * pow((cbrt(pow(k, -2.0)) / t_m), 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 <= 1.25e-70) {
tmp = l * (2.0 * ((l / t_m) / Math.pow(k, 4.0)));
} else {
tmp = l * (l * Math.pow((Math.cbrt(Math.pow(k, -2.0)) / t_m), 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 <= 1.25e-70) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0)))); else tmp = Float64(l * Float64(l * (Float64(cbrt((k ^ -2.0)) / t_m) ^ 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, 1.25e-70], N[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l * N[Power[N[(N[Power[N[Power[k, -2.0], $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $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 1.25 \cdot 10^{-70}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot {\left(\frac{\sqrt[3]{{k}^{-2}}}{t\_m}\right)}^{3}\right)\\
\end{array}
\end{array}
if t < 1.25e-70Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around 0 52.0%
Taylor expanded in k around inf 59.2%
*-commutative59.2%
associate-/r*60.6%
Simplified60.6%
if 1.25e-70 < t Initial program 65.6%
Simplified61.4%
Taylor expanded in k around 0 55.8%
associate-*r*58.8%
associate-/r*58.8%
pow-flip58.8%
metadata-eval58.8%
Applied egg-rr58.8%
add-cube-cbrt58.7%
pow358.7%
cbrt-div58.7%
unpow358.7%
add-cbrt-cube62.5%
Applied egg-rr62.5%
Final simplification61.2%
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 8e-73)
(* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))
(* l (/ l (* (pow t_m 3.0) (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 (t_m <= 8e-73) {
tmp = l * (2.0 * ((l / t_m) / pow(k, 4.0)));
} else {
tmp = l * (l / (pow(t_m, 3.0) * pow(k, 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 <= 8d-73) then
tmp = l * (2.0d0 * ((l / t_m) / (k ** 4.0d0)))
else
tmp = l * (l / ((t_m ** 3.0d0) * (k ** 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 <= 8e-73) {
tmp = l * (2.0 * ((l / t_m) / Math.pow(k, 4.0)));
} else {
tmp = l * (l / (Math.pow(t_m, 3.0) * Math.pow(k, 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 <= 8e-73: tmp = l * (2.0 * ((l / t_m) / math.pow(k, 4.0))) else: tmp = l * (l / (math.pow(t_m, 3.0) * 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 (t_m <= 8e-73) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0)))); else tmp = Float64(l * Float64(l / Float64((t_m ^ 3.0) * (k ^ 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 <= 8e-73) tmp = l * (2.0 * ((l / t_m) / (k ^ 4.0))); else tmp = l * (l / ((t_m ^ 3.0) * (k ^ 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, 8e-73], N[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l / N[(N[Power[t$95$m, 3.0], $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}\;t\_m \leq 8 \cdot 10^{-73}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell}{{t\_m}^{3} \cdot {k}^{2}}\\
\end{array}
\end{array}
if t < 7.99999999999999998e-73Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around 0 52.0%
Taylor expanded in k around inf 59.2%
*-commutative59.2%
associate-/r*60.6%
Simplified60.6%
if 7.99999999999999998e-73 < t Initial program 65.6%
Simplified61.4%
associate-*r*65.8%
associate-*l/69.0%
Applied egg-rr69.0%
Taylor expanded in k around 0 58.8%
Final simplification60.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.5e-70)
(* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))
(* l (* l (/ (pow k -2.0) (pow t_m 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 <= 1.5e-70) {
tmp = l * (2.0 * ((l / t_m) / pow(k, 4.0)));
} else {
tmp = l * (l * (pow(k, -2.0) / pow(t_m, 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) :: tmp
if (t_m <= 1.5d-70) then
tmp = l * (2.0d0 * ((l / t_m) / (k ** 4.0d0)))
else
tmp = l * (l * ((k ** (-2.0d0)) / (t_m ** 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 tmp;
if (t_m <= 1.5e-70) {
tmp = l * (2.0 * ((l / t_m) / Math.pow(k, 4.0)));
} else {
tmp = l * (l * (Math.pow(k, -2.0) / Math.pow(t_m, 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): tmp = 0 if t_m <= 1.5e-70: tmp = l * (2.0 * ((l / t_m) / math.pow(k, 4.0))) else: tmp = l * (l * (math.pow(k, -2.0) / math.pow(t_m, 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 <= 1.5e-70) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0)))); else tmp = Float64(l * Float64(l * Float64((k ^ -2.0) / (t_m ^ 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) tmp = 0.0; if (t_m <= 1.5e-70) tmp = l * (2.0 * ((l / t_m) / (k ^ 4.0))); else tmp = l * (l * ((k ^ -2.0) / (t_m ^ 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_] := N[(t$95$s * If[LessEqual[t$95$m, 1.5e-70], N[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l * N[(N[Power[k, -2.0], $MachinePrecision] / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.5 \cdot 10^{-70}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot \frac{{k}^{-2}}{{t\_m}^{3}}\right)\\
\end{array}
\end{array}
if t < 1.5000000000000001e-70Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around 0 52.0%
Taylor expanded in k around inf 59.2%
*-commutative59.2%
associate-/r*60.6%
Simplified60.6%
if 1.5000000000000001e-70 < t Initial program 65.6%
Simplified61.4%
Taylor expanded in k around 0 55.8%
associate-*r*58.8%
associate-/r*58.8%
pow-flip58.8%
metadata-eval58.8%
Applied egg-rr58.8%
Final simplification60.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2e-72)
(* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))
(* l (* l (/ (* (/ 1.0 k) (/ 1.0 k)) (pow t_m 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 <= 2e-72) {
tmp = l * (2.0 * ((l / t_m) / pow(k, 4.0)));
} else {
tmp = l * (l * (((1.0 / k) * (1.0 / k)) / pow(t_m, 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) :: tmp
if (t_m <= 2d-72) then
tmp = l * (2.0d0 * ((l / t_m) / (k ** 4.0d0)))
else
tmp = l * (l * (((1.0d0 / k) * (1.0d0 / k)) / (t_m ** 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 tmp;
if (t_m <= 2e-72) {
tmp = l * (2.0 * ((l / t_m) / Math.pow(k, 4.0)));
} else {
tmp = l * (l * (((1.0 / k) * (1.0 / k)) / Math.pow(t_m, 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): tmp = 0 if t_m <= 2e-72: tmp = l * (2.0 * ((l / t_m) / math.pow(k, 4.0))) else: tmp = l * (l * (((1.0 / k) * (1.0 / k)) / math.pow(t_m, 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 <= 2e-72) tmp = Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0)))); else tmp = Float64(l * Float64(l * Float64(Float64(Float64(1.0 / k) * Float64(1.0 / k)) / (t_m ^ 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) tmp = 0.0; if (t_m <= 2e-72) tmp = l * (2.0 * ((l / t_m) / (k ^ 4.0))); else tmp = l * (l * (((1.0 / k) * (1.0 / k)) / (t_m ^ 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_] := N[(t$95$s * If[LessEqual[t$95$m, 2e-72], N[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l * N[(N[(N[(1.0 / k), $MachinePrecision] * N[(1.0 / k), $MachinePrecision]), $MachinePrecision] / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2 \cdot 10^{-72}:\\
\;\;\;\;\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \left(\ell \cdot \frac{\frac{1}{k} \cdot \frac{1}{k}}{{t\_m}^{3}}\right)\\
\end{array}
\end{array}
if t < 1.9999999999999999e-72Initial program 50.7%
Simplified48.7%
associate-*r*56.6%
associate-*l/55.3%
Applied egg-rr55.3%
Taylor expanded in k around 0 52.0%
Taylor expanded in k around inf 59.2%
*-commutative59.2%
associate-/r*60.6%
Simplified60.6%
if 1.9999999999999999e-72 < t Initial program 65.6%
Simplified61.4%
Taylor expanded in k around 0 55.8%
associate-*r*58.8%
associate-/r*58.8%
pow-flip58.8%
metadata-eval58.8%
Applied egg-rr58.8%
sqr-pow58.8%
metadata-eval58.8%
unpow-158.8%
metadata-eval58.8%
unpow-158.8%
Applied egg-rr58.8%
Final simplification60.0%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* l (* 2.0 (/ (/ l t_m) (pow k 4.0))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (l * (2.0 * ((l / t_m) / pow(k, 4.0))));
}
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 * (l * (2.0d0 * ((l / t_m) / (k ** 4.0d0))))
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 * (l * (2.0 * ((l / t_m) / Math.pow(k, 4.0))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (l * (2.0 * ((l / t_m) / math.pow(k, 4.0))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(l * Float64(2.0 * Float64(Float64(l / t_m) / (k ^ 4.0))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (l * (2.0 * ((l / t_m) / (k ^ 4.0)))); 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[(l * N[(2.0 * N[(N[(l / t$95$m), $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\ell \cdot \left(2 \cdot \frac{\frac{\ell}{t\_m}}{{k}^{4}}\right)\right)
\end{array}
Initial program 55.4%
Simplified52.8%
associate-*r*59.5%
associate-*l/59.7%
Applied egg-rr59.7%
Taylor expanded in k around 0 54.2%
Taylor expanded in k around inf 54.6%
*-commutative54.6%
associate-/r*55.9%
Simplified55.9%
Final simplification55.9%
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 (* l (* 2.0 (/ l (* t_m (pow k 4.0)))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (l * (2.0 * (l / (t_m * pow(k, 4.0)))));
}
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 * (l * (2.0d0 * (l / (t_m * (k ** 4.0d0)))))
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 * (l * (2.0 * (l / (t_m * Math.pow(k, 4.0)))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (l * (2.0 * (l / (t_m * math.pow(k, 4.0)))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(l * Float64(2.0 * Float64(l / Float64(t_m * (k ^ 4.0)))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (l * (2.0 * (l / (t_m * (k ^ 4.0))))); 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[(l * N[(2.0 * N[(l / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\ell \cdot \left(2 \cdot \frac{\ell}{t\_m \cdot {k}^{4}}\right)\right)
\end{array}
Initial program 55.4%
Simplified52.8%
associate-*r*59.5%
associate-*l/59.7%
Applied egg-rr59.7%
Taylor expanded in k around inf 64.0%
times-frac65.2%
Simplified65.2%
Taylor expanded in k around 0 54.6%
Final simplification54.6%
herbie shell --seed 2024096
(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))))