
(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 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.02e-79)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(/
2.0
(pow
(*
(* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0)))
(cbrt (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))))
3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.02e-79) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else {
tmp = 2.0 / pow(((cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0))) * cbrt((tan(k) * (2.0 + pow((k / t_m), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.02e-79) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} 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) * (2.0 + Math.pow((k / t_m), 2.0))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.02e-79) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); else tmp = Float64(2.0 / (Float64(Float64(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0))) * cbrt(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.02e-79], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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[(2.0 + N[Power[N[(k / t$95$m), $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 1.02 \cdot 10^{-79}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right) \cdot \sqrt[3]{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}\right)}^{3}}\\
\end{array}
\end{array}
if t < 1.02000000000000002e-79Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 1.02000000000000002e-79 < t Initial program 74.3%
Simplified74.3%
add-cube-cbrt74.2%
pow374.2%
associate-/r*80.2%
*-commutative80.2%
cbrt-prod80.0%
associate-/r*74.1%
cbrt-div74.1%
rem-cbrt-cube77.6%
cbrt-prod89.8%
pow289.8%
Applied egg-rr89.8%
cube-mult89.8%
div-inv89.9%
pow-flip89.9%
metadata-eval89.9%
pow289.9%
div-inv89.9%
pow-flip89.9%
metadata-eval89.9%
Applied egg-rr89.9%
unpow289.9%
cube-unmult89.8%
Simplified89.8%
add-cube-cbrt89.7%
pow389.7%
Applied egg-rr94.4%
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 8e-26)
(/
2.0
(pow
(* (* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0))) (cbrt (* 2.0 k)))
3.0))
(if (<= k 8.5e+133)
(/
2.0
(* (/ 1.0 l) (/ (* (* k k) (* t_m (pow (sin k) 2.0))) (* l (cos k)))))
(/
2.0
(pow
(*
(/ t_m (pow (cbrt l) 2.0))
(cbrt (* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))))
3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e-26) {
tmp = 2.0 / pow(((cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0))) * cbrt((2.0 * k))), 3.0);
} else if (k <= 8.5e+133) {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))));
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * cbrt((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 8e-26) {
tmp = 2.0 / Math.pow(((Math.cbrt(Math.sin(k)) * (t_m * Math.pow(Math.cbrt(l), -2.0))) * Math.cbrt((2.0 * k))), 3.0);
} else if (k <= 8.5e+133) {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))));
} else {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 8e-26) tmp = Float64(2.0 / (Float64(Float64(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0))) * cbrt(Float64(2.0 * k))) ^ 3.0)); elseif (k <= 8.5e+133) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(Float64(k * k) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 8e-26], 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[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 8.5e+133], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 8 \cdot 10^{-26}:\\
\;\;\;\;\frac{2}{{\left(\left(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right) \cdot \sqrt[3]{2 \cdot k}\right)}^{3}}\\
\mathbf{elif}\;k \leq 8.5 \cdot 10^{+133}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\end{array}
\end{array}
if k < 8.0000000000000003e-26Initial program 52.6%
Simplified52.6%
add-cube-cbrt52.5%
pow352.5%
associate-/r*63.1%
*-commutative63.1%
cbrt-prod63.1%
associate-/r*52.5%
cbrt-div53.9%
rem-cbrt-cube59.2%
cbrt-prod75.9%
pow275.9%
Applied egg-rr75.9%
cube-mult75.9%
div-inv75.9%
pow-flip75.9%
metadata-eval75.9%
pow275.9%
div-inv75.9%
pow-flip75.9%
metadata-eval75.9%
Applied egg-rr75.9%
unpow275.9%
cube-unmult75.9%
Simplified75.9%
add-cube-cbrt75.9%
pow375.9%
Applied egg-rr82.0%
Taylor expanded in k around 0 75.9%
if 8.0000000000000003e-26 < k < 8.50000000000000044e133Initial program 61.6%
Simplified61.7%
associate-*l*61.7%
associate-/r*61.8%
associate-+r+61.8%
metadata-eval61.8%
associate-*l*61.8%
associate-*l/64.4%
clear-num64.4%
associate-*l*64.4%
Applied egg-rr64.4%
associate-/r/64.3%
*-commutative64.3%
associate-*r*64.3%
Simplified64.3%
Taylor expanded in k around inf 89.0%
unpow289.0%
Applied egg-rr89.0%
if 8.50000000000000044e133 < k Initial program 67.8%
Simplified67.8%
associate-*l*67.8%
associate-/r*72.7%
associate-+r+72.7%
metadata-eval72.7%
associate-*l*72.8%
add-cube-cbrt72.7%
pow372.7%
Applied egg-rr84.9%
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 (+ 2.0 (pow (/ k t_m) 2.0))))
(*
t_s
(if (<= t_m 5.8e-80)
(/
2.0
(*
(/ 1.0 l)
(* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(if (<= t_m 1e+73)
(* l (/ (* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k)))) t_2))
(/
2.0
(pow
(* (cbrt (* (tan k) t_2)) (* (* t_m (pow (cbrt l) -2.0)) (cbrt 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 = 2.0 + pow((k / t_m), 2.0);
double tmp;
if (t_m <= 5.8e-80) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else if (t_m <= 1e+73) {
tmp = l * (((2.0 / pow(t_m, 3.0)) * (l / (sin(k) * tan(k)))) / t_2);
} else {
tmp = 2.0 / pow((cbrt((tan(k) * t_2)) * ((t_m * pow(cbrt(l), -2.0)) * cbrt(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 = 2.0 + Math.pow((k / t_m), 2.0);
double tmp;
if (t_m <= 5.8e-80) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else if (t_m <= 1e+73) {
tmp = l * (((2.0 / Math.pow(t_m, 3.0)) * (l / (Math.sin(k) * Math.tan(k)))) / t_2);
} else {
tmp = 2.0 / Math.pow((Math.cbrt((Math.tan(k) * t_2)) * ((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(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(2.0 + (Float64(k / t_m) ^ 2.0)) tmp = 0.0 if (t_m <= 5.8e-80) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); elseif (t_m <= 1e+73) tmp = Float64(l * Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) * Float64(l / Float64(sin(k) * tan(k)))) / t_2)); else tmp = Float64(2.0 / (Float64(cbrt(Float64(tan(k) * t_2)) * Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(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[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5.8e-80], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1e+73], 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] / t$95$2), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[Power[N[(N[Tan[k], $MachinePrecision] * t$95$2), $MachinePrecision], 1/3], $MachinePrecision] * N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.8 \cdot 10^{-80}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 10^{+73}:\\
\;\;\;\;\ell \cdot \frac{\frac{2}{{t\_m}^{3}} \cdot \frac{\ell}{\sin k \cdot \tan k}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\tan k \cdot t\_2} \cdot \left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 5.79999999999999996e-80Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 5.79999999999999996e-80 < t < 9.99999999999999983e72Initial program 72.0%
Simplified70.5%
associate-*r*81.0%
*-un-lft-identity81.0%
times-frac84.0%
associate-/l/84.0%
Applied egg-rr84.0%
times-frac81.0%
*-commutative81.0%
times-frac84.1%
associate-*l/84.1%
associate-*l*84.3%
times-frac86.9%
/-rgt-identity86.9%
Simplified86.9%
if 9.99999999999999983e72 < t Initial program 76.0%
Simplified76.0%
add-cube-cbrt76.0%
pow376.0%
associate-/r*78.5%
*-commutative78.5%
cbrt-prod78.4%
associate-/r*76.0%
cbrt-div76.0%
rem-cbrt-cube82.2%
cbrt-prod93.6%
pow293.6%
Applied egg-rr93.6%
cube-mult93.6%
div-inv93.6%
pow-flip93.6%
metadata-eval93.6%
pow293.6%
div-inv93.7%
pow-flip93.7%
metadata-eval93.7%
Applied egg-rr93.7%
unpow293.7%
cube-unmult93.7%
Simplified93.7%
add-cube-cbrt93.7%
pow393.7%
Applied egg-rr97.3%
Taylor expanded in k around 0 89.9%
Final simplification75.9%
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 2.05e-80)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(/
2.0
(*
(pow (* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0))) 3.0)
(* (tan k) (+ 1.0 (+ 1.0 (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 <= 2.05e-80) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else {
tmp = 2.0 / (pow((cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0))), 3.0) * (tan(k) * (1.0 + (1.0 + pow((k / t_m), 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 (t_m <= 2.05e-80) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * (t_m * Math.pow(Math.cbrt(l), -2.0))), 3.0) * (Math.tan(k) * (1.0 + (1.0 + 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 <= 2.05e-80) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); else tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0))) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 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[t$95$m, 2.05e-80], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(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] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $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 2.05 \cdot 10^{-80}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 2.05e-80Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 2.05e-80 < t Initial program 74.3%
Simplified74.3%
add-cube-cbrt74.2%
pow374.2%
associate-/r*80.2%
*-commutative80.2%
cbrt-prod80.0%
associate-/r*74.1%
cbrt-div74.1%
rem-cbrt-cube77.6%
cbrt-prod89.8%
pow289.8%
Applied egg-rr89.8%
cube-mult89.8%
div-inv89.9%
pow-flip89.9%
metadata-eval89.9%
pow289.9%
div-inv89.9%
pow-flip89.9%
metadata-eval89.9%
Applied egg-rr89.9%
unpow289.9%
cube-unmult89.8%
Simplified89.8%
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 (<= t_m 2.7e-79)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(if (<= t_m 1.4e+73)
(*
l
(/
(* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k))))
(+ 2.0 (pow (/ k t_m) 2.0))))
(/
2.0
(pow
(* (* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0))) (cbrt (* 2.0 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 <= 2.7e-79) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else if (t_m <= 1.4e+73) {
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(((cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0))) * cbrt((2.0 * 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 <= 2.7e-79) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else if (t_m <= 1.4e+73) {
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.cbrt(Math.sin(k)) * (t_m * Math.pow(Math.cbrt(l), -2.0))) * Math.cbrt((2.0 * 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 <= 2.7e-79) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); elseif (t_m <= 1.4e+73) 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(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0))) * cbrt(Float64(2.0 * 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, 2.7e-79], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.4e+73], 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[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[(2.0 * k), $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 2.7 \cdot 10^{-79}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 1.4 \cdot 10^{+73}:\\
\;\;\;\;\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(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right) \cdot \sqrt[3]{2 \cdot k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.7000000000000002e-79Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 2.7000000000000002e-79 < t < 1.40000000000000004e73Initial program 72.0%
Simplified70.5%
associate-*r*81.0%
*-un-lft-identity81.0%
times-frac84.0%
associate-/l/84.0%
Applied egg-rr84.0%
times-frac81.0%
*-commutative81.0%
times-frac84.1%
associate-*l/84.1%
associate-*l*84.3%
times-frac86.9%
/-rgt-identity86.9%
Simplified86.9%
if 1.40000000000000004e73 < t Initial program 76.0%
Simplified76.0%
add-cube-cbrt76.0%
pow376.0%
associate-/r*78.5%
*-commutative78.5%
cbrt-prod78.4%
associate-/r*76.0%
cbrt-div76.0%
rem-cbrt-cube82.2%
cbrt-prod93.6%
pow293.6%
Applied egg-rr93.6%
cube-mult93.6%
div-inv93.6%
pow-flip93.6%
metadata-eval93.6%
pow293.6%
div-inv93.7%
pow-flip93.7%
metadata-eval93.7%
Applied egg-rr93.7%
unpow293.7%
cube-unmult93.7%
Simplified93.7%
add-cube-cbrt93.7%
pow393.7%
Applied egg-rr97.3%
Taylor expanded in k around 0 89.9%
Final simplification75.9%
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 2.9e-79)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(if (<= t_m 3.4e+73)
(*
l
(/
(* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k))))
(+ 2.0 (pow (/ k t_m) 2.0))))
(/
2.0
(*
(pow (* (cbrt (sin k)) (* t_m (pow (cbrt l) -2.0))) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e-79) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else if (t_m <= 3.4e+73) {
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((cbrt(sin(k)) * (t_m * pow(cbrt(l), -2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e-79) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else if (t_m <= 3.4e+73) {
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.cbrt(Math.sin(k)) * (t_m * Math.pow(Math.cbrt(l), -2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.9e-79) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); elseif (t_m <= 3.4e+73) 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(cbrt(sin(k)) * Float64(t_m * (cbrt(l) ^ -2.0))) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.9e-79], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.4e+73], 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[(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] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.9 \cdot 10^{-79}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 3.4 \cdot 10^{+73}:\\
\;\;\;\;\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(\sqrt[3]{\sin k} \cdot \left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.9000000000000001e-79Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 2.9000000000000001e-79 < t < 3.4000000000000002e73Initial program 72.0%
Simplified70.5%
associate-*r*81.0%
*-un-lft-identity81.0%
times-frac84.0%
associate-/l/84.0%
Applied egg-rr84.0%
times-frac81.0%
*-commutative81.0%
times-frac84.1%
associate-*l/84.1%
associate-*l*84.3%
times-frac86.9%
/-rgt-identity86.9%
Simplified86.9%
if 3.4000000000000002e73 < t Initial program 76.0%
Simplified76.0%
add-cube-cbrt76.0%
pow376.0%
associate-/r*78.5%
*-commutative78.5%
cbrt-prod78.4%
associate-/r*76.0%
cbrt-div76.0%
rem-cbrt-cube82.2%
cbrt-prod93.6%
pow293.6%
Applied egg-rr93.6%
cube-mult93.6%
div-inv93.6%
pow-flip93.6%
metadata-eval93.6%
pow293.6%
div-inv93.7%
pow-flip93.7%
metadata-eval93.7%
Applied egg-rr93.7%
unpow293.7%
cube-unmult93.7%
Simplified93.7%
Taylor expanded in k around 0 86.3%
Final simplification75.2%
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 2e-80)
(/
2.0
(*
(/ 1.0 l)
(* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(if (<= t_m 3.2e+73)
(* l (/ (* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k)))) t_2))
(/ (* (/ (/ 2.0 k) (pow (* t_m (cbrt (sin k))) 3.0)) (* l 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 <= 2e-80) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else if (t_m <= 3.2e+73) {
tmp = l * (((2.0 / pow(t_m, 3.0)) * (l / (sin(k) * tan(k)))) / t_2);
} else {
tmp = (((2.0 / k) / pow((t_m * cbrt(sin(k))), 3.0)) * (l * l)) / 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 tmp;
if (t_m <= 2e-80) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else if (t_m <= 3.2e+73) {
tmp = l * (((2.0 / Math.pow(t_m, 3.0)) * (l / (Math.sin(k) * Math.tan(k)))) / t_2);
} else {
tmp = (((2.0 / k) / Math.pow((t_m * Math.cbrt(Math.sin(k))), 3.0)) * (l * 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 <= 2e-80) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); elseif (t_m <= 3.2e+73) tmp = Float64(l * Float64(Float64(Float64(2.0 / (t_m ^ 3.0)) * Float64(l / Float64(sin(k) * tan(k)))) / t_2)); else tmp = Float64(Float64(Float64(Float64(2.0 / k) / (Float64(t_m * cbrt(sin(k))) ^ 3.0)) * Float64(l * l)) / 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]}, N[(t$95$s * If[LessEqual[t$95$m, 2e-80], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.2e+73], 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] / t$95$2), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / t$95$2), $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 2 \cdot 10^{-80}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 3.2 \cdot 10^{+73}:\\
\;\;\;\;\ell \cdot \frac{\frac{2}{{t\_m}^{3}} \cdot \frac{\ell}{\sin k \cdot \tan k}}{t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}} \cdot \left(\ell \cdot \ell\right)}{t\_2}\\
\end{array}
\end{array}
\end{array}
if t < 1.99999999999999992e-80Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 1.99999999999999992e-80 < t < 3.19999999999999982e73Initial program 72.0%
Simplified70.5%
associate-*r*81.0%
*-un-lft-identity81.0%
times-frac84.0%
associate-/l/84.0%
Applied egg-rr84.0%
times-frac81.0%
*-commutative81.0%
times-frac84.1%
associate-*l/84.1%
associate-*l*84.3%
times-frac86.9%
/-rgt-identity86.9%
Simplified86.9%
if 3.19999999999999982e73 < t Initial program 76.0%
Simplified76.0%
Taylor expanded in k around 0 76.0%
add-cube-cbrt76.0%
pow276.0%
cbrt-div76.0%
*-commutative76.0%
cbrt-prod76.0%
unpow376.0%
add-cbrt-cube76.0%
cbrt-div76.0%
*-commutative76.0%
cbrt-prod76.0%
unpow376.0%
add-cbrt-cube80.0%
Applied egg-rr80.0%
unpow280.0%
unpow380.0%
cube-div80.0%
rem-cube-cbrt80.0%
*-commutative80.0%
Simplified80.0%
Final simplification74.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.9e-79)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(if (<= t_m 3.4e+73)
(*
l
(/
(* (/ 2.0 (pow t_m 3.0)) (/ l (* (sin k) (tan k))))
(+ 2.0 (pow (/ k t_m) 2.0))))
(/ (/ (pow l 2.0) k) (pow (* t_m (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 <= 2.9e-79) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else if (t_m <= 3.4e+73) {
tmp = l * (((2.0 / pow(t_m, 3.0)) * (l / (sin(k) * tan(k)))) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = (pow(l, 2.0) / k) / pow((t_m * 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 <= 2.9e-79) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else if (t_m <= 3.4e+73) {
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 = (Math.pow(l, 2.0) / k) / Math.pow((t_m * 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 <= 2.9e-79) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); elseif (t_m <= 3.4e+73) 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(Float64((l ^ 2.0) / k) / (Float64(t_m * 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, 2.9e-79], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.4e+73], 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[(N[(N[Power[l, 2.0], $MachinePrecision] / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $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 2.9 \cdot 10^{-79}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{elif}\;t\_m \leq 3.4 \cdot 10^{+73}:\\
\;\;\;\;\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{\frac{{\ell}^{2}}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.9000000000000001e-79Initial program 47.2%
Simplified47.2%
associate-*l*44.7%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/54.8%
clear-num54.8%
associate-*l*54.8%
Applied egg-rr54.8%
associate-/r/54.8%
*-commutative54.8%
associate-*r*54.8%
Simplified54.8%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 2.9000000000000001e-79 < t < 3.4000000000000002e73Initial program 72.0%
Simplified70.5%
associate-*r*81.0%
*-un-lft-identity81.0%
times-frac84.0%
associate-/l/84.0%
Applied egg-rr84.0%
times-frac81.0%
*-commutative81.0%
times-frac84.1%
associate-*l/84.1%
associate-*l*84.3%
times-frac86.9%
/-rgt-identity86.9%
Simplified86.9%
if 3.4000000000000002e73 < t Initial program 76.0%
Simplified76.0%
Taylor expanded in k around 0 76.0%
Taylor expanded in t around inf 76.0%
associate-/r*75.8%
Simplified75.8%
add-cube-cbrt75.7%
pow375.7%
cbrt-prod75.7%
rem-cbrt-cube77.8%
Applied egg-rr77.8%
Final simplification73.6%
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 8.6e-69)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(*
(* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0)))))
(/ 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 <= 8.6e-69) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (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 <= 8.6d-69) then
tmp = 2.0d0 / ((1.0d0 / l) * ((k ** 2.0d0) * ((t_m / l) * ((sin(k) ** 2.0d0) / cos(k)))))
else
tmp = (l * (2.0d0 / (tan(k) * (sin(k) * (t_m ** 3.0d0))))) * (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 <= 8.6e-69) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (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 <= 8.6e-69: tmp = 2.0 / ((1.0 / l) * (math.pow(k, 2.0) * ((t_m / l) * (math.pow(math.sin(k), 2.0) / math.cos(k))))) else: tmp = (l * (2.0 / (math.tan(k) * (math.sin(k) * math.pow(t_m, 3.0))))) * (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 <= 8.6e-69) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); else tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(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 <= 8.6e-69) tmp = 2.0 / ((1.0 / l) * ((k ^ 2.0) * ((t_m / l) * ((sin(k) ^ 2.0) / cos(k))))); else tmp = (l * (2.0 / (tan(k) * (sin(k) * (t_m ^ 3.0))))) * (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, 8.6e-69], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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 / N[(2.0 + N[Power[N[(k / t$95$m), $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}\;t\_m \leq 8.6 \cdot 10^{-69}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
if t < 8.59999999999999999e-69Initial program 47.5%
Simplified47.5%
associate-*l*45.1%
associate-/r*53.8%
associate-+r+53.8%
metadata-eval53.8%
associate-*l*53.8%
associate-*l/55.6%
clear-num55.6%
associate-*l*55.6%
Applied egg-rr55.6%
associate-/r/55.6%
*-commutative55.6%
associate-*r*55.6%
Simplified55.6%
Taylor expanded in k around inf 69.6%
associate-/l*69.0%
times-frac69.5%
Simplified69.5%
if 8.59999999999999999e-69 < t Initial program 74.6%
Simplified73.9%
associate-*r*81.1%
*-un-lft-identity81.1%
times-frac82.5%
associate-/l/82.5%
Applied egg-rr82.5%
Final simplification73.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.8e-24)
(/
2.0
(* (/ 1.0 l) (* (pow k 2.0) (* (/ t_m l) (/ (pow (sin k) 2.0) (cos k))))))
(/ (/ (pow l 2.0) k) (pow (* t_m (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 <= 1.8e-24) {
tmp = 2.0 / ((1.0 / l) * (pow(k, 2.0) * ((t_m / l) * (pow(sin(k), 2.0) / cos(k)))));
} else {
tmp = (pow(l, 2.0) / k) / pow((t_m * 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 <= 1.8e-24) {
tmp = 2.0 / ((1.0 / l) * (Math.pow(k, 2.0) * ((t_m / l) * (Math.pow(Math.sin(k), 2.0) / Math.cos(k)))));
} else {
tmp = (Math.pow(l, 2.0) / k) / Math.pow((t_m * 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 <= 1.8e-24) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((k ^ 2.0) * Float64(Float64(t_m / l) * Float64((sin(k) ^ 2.0) / cos(k)))))); else tmp = Float64(Float64((l ^ 2.0) / k) / (Float64(t_m * 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, 1.8e-24], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[k, 2.0], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $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 1.8 \cdot 10^{-24}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left({k}^{2} \cdot \left(\frac{t\_m}{\ell} \cdot \frac{{\sin k}^{2}}{\cos k}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{\ell}^{2}}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 1.8e-24Initial program 49.2%
Simplified49.2%
associate-*l*47.0%
associate-/r*55.9%
associate-+r+55.9%
metadata-eval55.9%
associate-*l*56.0%
associate-*l/58.3%
clear-num58.3%
associate-*l*58.3%
Applied egg-rr58.3%
associate-/r/58.3%
*-commutative58.3%
associate-*r*58.3%
Simplified58.3%
Taylor expanded in k around inf 69.9%
associate-/l*69.3%
times-frac69.8%
Simplified69.8%
if 1.8e-24 < t Initial program 76.3%
Simplified76.4%
Taylor expanded in k around 0 69.3%
Taylor expanded in t around inf 69.4%
associate-/r*69.4%
Simplified69.4%
add-cube-cbrt69.4%
pow369.4%
cbrt-prod69.3%
rem-cbrt-cube70.8%
Applied egg-rr70.8%
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 (<= t_m 1.8e-24)
(/ 2.0 (* (/ (pow k 2.0) l) (/ (* t_m (/ (pow (sin k) 2.0) (cos k))) l)))
(/ (/ (pow l 2.0) k) (pow (* t_m (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 <= 1.8e-24) {
tmp = 2.0 / ((pow(k, 2.0) / l) * ((t_m * (pow(sin(k), 2.0) / cos(k))) / l));
} else {
tmp = (pow(l, 2.0) / k) / pow((t_m * 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 <= 1.8e-24) {
tmp = 2.0 / ((Math.pow(k, 2.0) / l) * ((t_m * (Math.pow(Math.sin(k), 2.0) / Math.cos(k))) / l));
} else {
tmp = (Math.pow(l, 2.0) / k) / Math.pow((t_m * 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 <= 1.8e-24) tmp = Float64(2.0 / Float64(Float64((k ^ 2.0) / l) * Float64(Float64(t_m * Float64((sin(k) ^ 2.0) / cos(k))) / l))); else tmp = Float64(Float64((l ^ 2.0) / k) / (Float64(t_m * 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, 1.8e-24], N[(2.0 / N[(N[(N[Power[k, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $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 1.8 \cdot 10^{-24}:\\
\;\;\;\;\frac{2}{\frac{{k}^{2}}{\ell} \cdot \frac{t\_m \cdot \frac{{\sin k}^{2}}{\cos k}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{\ell}^{2}}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 1.8e-24Initial program 49.2%
Simplified49.2%
associate-*l*47.0%
associate-/r*55.9%
associate-+r+55.9%
metadata-eval55.9%
associate-*l*56.0%
associate-*l/58.3%
clear-num58.3%
associate-*l*58.3%
Applied egg-rr58.3%
associate-/r/58.3%
*-commutative58.3%
associate-*r*58.3%
Simplified58.3%
Taylor expanded in k around inf 69.9%
associate-*l/69.8%
*-un-lft-identity69.8%
pow269.8%
times-frac69.4%
pow269.4%
Applied egg-rr69.4%
associate-/l*69.3%
associate-/l*69.3%
Simplified69.3%
if 1.8e-24 < t Initial program 76.3%
Simplified76.4%
Taylor expanded in k around 0 69.3%
Taylor expanded in t around inf 69.4%
associate-/r*69.4%
Simplified69.4%
add-cube-cbrt69.4%
pow369.4%
cbrt-prod69.3%
rem-cbrt-cube70.8%
Applied egg-rr70.8%
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 (<= t_m 5.2e-25)
(/
2.0
(* (/ 1.0 l) (/ (* (* k k) (* t_m (pow (sin k) 2.0))) (* l (cos k)))))
(/ (/ (pow l 2.0) k) (pow (* t_m (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 <= 5.2e-25) {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * pow(sin(k), 2.0))) / (l * cos(k))));
} else {
tmp = (pow(l, 2.0) / k) / pow((t_m * 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 <= 5.2e-25) {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(k))));
} else {
tmp = (Math.pow(l, 2.0) / k) / Math.pow((t_m * 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 <= 5.2e-25) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(Float64(k * k) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(k))))); else tmp = Float64(Float64((l ^ 2.0) / k) / (Float64(t_m * 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, 5.2e-25], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Sin[k], $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 5.2 \cdot 10^{-25}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{\ell}^{2}}{k}}{{\left(t\_m \cdot \sqrt[3]{\sin k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 5.2e-25Initial program 49.2%
Simplified49.2%
associate-*l*47.0%
associate-/r*55.9%
associate-+r+55.9%
metadata-eval55.9%
associate-*l*56.0%
associate-*l/58.3%
clear-num58.3%
associate-*l*58.3%
Applied egg-rr58.3%
associate-/r/58.3%
*-commutative58.3%
associate-*r*58.3%
Simplified58.3%
Taylor expanded in k around inf 69.9%
unpow269.9%
Applied egg-rr69.9%
if 5.2e-25 < t Initial program 76.3%
Simplified76.4%
Taylor expanded in k around 0 69.3%
Taylor expanded in t around inf 69.4%
associate-/r*69.4%
Simplified69.4%
add-cube-cbrt69.4%
pow369.4%
cbrt-prod69.3%
rem-cbrt-cube70.8%
Applied egg-rr70.8%
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 2.25e-26)
(/ 2.0 (* (* (pow t_2 2.0) (/ t_2 l)) (* 2.0 (* k k))))
(/
2.0
(*
(/ 1.0 l)
(/ (* (* k k) (* t_m (pow (sin k) 2.0))) (* l (cos 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 <= 2.25e-26) {
tmp = 2.0 / ((pow(t_2, 2.0) * (t_2 / l)) * (2.0 * (k * k)));
} else {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * pow(sin(k), 2.0))) / (l * cos(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 <= 2.25e-26) {
tmp = 2.0 / ((Math.pow(t_2, 2.0) * (t_2 / l)) * (2.0 * (k * k)));
} else {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(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 <= 2.25e-26) tmp = Float64(2.0 / Float64(Float64((t_2 ^ 2.0) * Float64(t_2 / l)) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(Float64(k * k) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(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, 2.25e-26], N[(2.0 / N[(N[(N[Power[t$95$2, 2.0], $MachinePrecision] * N[(t$95$2 / l), $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[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 2.25 \cdot 10^{-26}:\\
\;\;\;\;\frac{2}{\left({t\_2}^{2} \cdot \frac{t\_2}{\ell}\right) \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}\\
\end{array}
\end{array}
\end{array}
if k < 2.2499999999999999e-26Initial program 52.6%
Simplified58.1%
Taylor expanded in k around 0 59.9%
unpow260.3%
Applied egg-rr59.9%
add-cube-cbrt59.9%
*-un-lft-identity59.9%
times-frac59.9%
pow259.9%
cbrt-div59.9%
rem-cbrt-cube59.9%
cbrt-div59.9%
rem-cbrt-cube64.3%
Applied egg-rr64.3%
if 2.2499999999999999e-26 < k Initial program 64.8%
Simplified64.9%
associate-*l*64.9%
associate-/r*67.5%
associate-+r+67.5%
metadata-eval67.5%
associate-*l*67.5%
associate-*l/70.1%
clear-num70.1%
associate-*l*70.0%
Applied egg-rr70.0%
associate-/r/70.1%
*-commutative70.1%
associate-*r*70.1%
Simplified70.1%
Taylor expanded in k around inf 82.2%
unpow282.2%
Applied egg-rr82.2%
Final simplification69.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 8e-27)
(/ 2.0 (* (* 2.0 (* k k)) (pow (/ t_m (pow (cbrt l) 2.0)) 3.0)))
(/
2.0
(* (/ 1.0 l) (/ (* (* k k) (* t_m (pow (sin k) 2.0))) (* l (cos 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 (k <= 8e-27) {
tmp = 2.0 / ((2.0 * (k * k)) * pow((t_m / pow(cbrt(l), 2.0)), 3.0));
} else {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * pow(sin(k), 2.0))) / (l * cos(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 (k <= 8e-27) {
tmp = 2.0 / ((2.0 * (k * k)) * Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0));
} else {
tmp = 2.0 / ((1.0 / l) * (((k * k) * (t_m * Math.pow(Math.sin(k), 2.0))) / (l * Math.cos(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 (k <= 8e-27) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * (Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0))); else tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(Float64(k * k) * Float64(t_m * (sin(k) ^ 2.0))) / Float64(l * cos(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[k, 8e-27], N[(2.0 / N[(N[(2.0 * N[(k * k), $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], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $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 8 \cdot 10^{-27}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{\left(k \cdot k\right) \cdot \left(t\_m \cdot {\sin k}^{2}\right)}{\ell \cdot \cos k}}\\
\end{array}
\end{array}
if k < 8.0000000000000003e-27Initial program 52.6%
Simplified58.1%
Taylor expanded in k around 0 59.9%
unpow260.3%
Applied egg-rr59.9%
add-cube-cbrt59.9%
pow359.9%
associate-/r*51.6%
cbrt-div51.5%
rem-cbrt-cube55.7%
cbrt-prod64.8%
pow264.8%
Applied egg-rr64.8%
if 8.0000000000000003e-27 < k Initial program 64.8%
Simplified64.9%
associate-*l*64.9%
associate-/r*67.5%
associate-+r+67.5%
metadata-eval67.5%
associate-*l*67.5%
associate-*l/70.1%
clear-num70.1%
associate-*l*70.0%
Applied egg-rr70.0%
associate-/r/70.1%
*-commutative70.1%
associate-*r*70.1%
Simplified70.1%
Taylor expanded in k around inf 82.2%
unpow282.2%
Applied egg-rr82.2%
Final simplification70.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.5e-32)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ 2.0 (* (* 2.0 (* k k)) (pow (/ t_m (pow (cbrt l) 2.0)) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.5e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * pow((t_m / pow(cbrt(l), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.5e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.5e-32) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * 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, 2.5e-32], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(k * k), $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}\;t\_m \leq 2.5 \cdot 10^{-32}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 2.5e-32Initial program 48.4%
Simplified48.4%
associate-*l*46.1%
associate-/r*55.2%
associate-+r+55.2%
metadata-eval55.2%
associate-*l*55.2%
associate-*l/57.6%
clear-num57.6%
associate-*l*57.6%
Applied egg-rr57.6%
associate-/r/57.6%
*-commutative57.6%
associate-*r*57.6%
Simplified57.6%
Taylor expanded in k around inf 69.9%
Taylor expanded in k around 0 59.8%
associate-/l*59.6%
Simplified59.6%
if 2.5e-32 < t Initial program 77.3%
Simplified76.0%
Taylor expanded in k around 0 67.6%
unpow259.0%
Applied egg-rr67.6%
add-cube-cbrt67.6%
pow367.6%
associate-/r*65.7%
cbrt-div65.7%
rem-cbrt-cube67.4%
cbrt-prod71.8%
pow271.8%
Applied egg-rr71.8%
Final simplification62.9%
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 2.7e-32)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (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 <= 2.7e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * 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 <= 2.7d-32) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (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 <= 2.7e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * 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 <= 2.7e-32: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * 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 <= 2.7e-32) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (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 <= 2.7e-32) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (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, 2.7e-32], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $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 2.7 \cdot 10^{-32}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\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 < 2.69999999999999981e-32Initial program 48.4%
Simplified48.4%
associate-*l*46.1%
associate-/r*55.2%
associate-+r+55.2%
metadata-eval55.2%
associate-*l*55.2%
associate-*l/57.6%
clear-num57.6%
associate-*l*57.6%
Applied egg-rr57.6%
associate-/r/57.6%
*-commutative57.6%
associate-*r*57.6%
Simplified57.6%
Taylor expanded in k around inf 69.9%
Taylor expanded in k around 0 59.8%
associate-/l*59.6%
Simplified59.6%
if 2.69999999999999981e-32 < t Initial program 77.3%
Simplified76.0%
Taylor expanded in k around 0 67.6%
unpow259.0%
Applied egg-rr67.6%
add-sqr-sqrt67.6%
pow267.6%
associate-/r*65.7%
sqrt-div65.7%
sqrt-pow167.4%
metadata-eval67.4%
sqrt-prod28.8%
add-sqr-sqrt71.9%
Applied egg-rr71.9%
Final simplification63.0%
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 3.4e-32)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ (/ (pow l 2.0) k) (* 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 <= 3.4e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = (pow(l, 2.0) / k) / (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 <= 3.4d-32) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0)))
else
tmp = ((l ** 2.0d0) / k) / (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 <= 3.4e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = (Math.pow(l, 2.0) / k) / (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 <= 3.4e-32: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))) else: tmp = (math.pow(l, 2.0) / k) / (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 <= 3.4e-32) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(Float64((l ^ 2.0) / k) / Float64(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 <= 3.4e-32) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0))); else tmp = ((l ^ 2.0) / k) / (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, 3.4e-32], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 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 3.4 \cdot 10^{-32}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{\ell}^{2}}{k}}{k \cdot {t\_m}^{3}}\\
\end{array}
\end{array}
if t < 3.39999999999999978e-32Initial program 48.4%
Simplified48.4%
associate-*l*46.1%
associate-/r*55.2%
associate-+r+55.2%
metadata-eval55.2%
associate-*l*55.2%
associate-*l/57.6%
clear-num57.6%
associate-*l*57.6%
Applied egg-rr57.6%
associate-/r/57.6%
*-commutative57.6%
associate-*r*57.6%
Simplified57.6%
Taylor expanded in k around inf 69.9%
Taylor expanded in k around 0 59.8%
associate-/l*59.6%
Simplified59.6%
if 3.39999999999999978e-32 < t Initial program 77.3%
Simplified77.4%
Taylor expanded in k around 0 69.2%
Taylor expanded in t around inf 68.8%
associate-/r*68.8%
Simplified68.8%
Taylor expanded in k around 0 70.3%
Final simplification62.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.4e-32)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ 2.0 (* (* 2.0 (* k k)) (* (/ t_m l) (/ (* t_m t_m) l)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.4e-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * 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-32) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * (k * k)) * ((t_m / l) * ((t_m * 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-32) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * 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-32: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * 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-32) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m / l) * Float64(Float64(t_m * 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-32) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * 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-32], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.4 \cdot 10^{-32}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot t\_m}{\ell}\right)}\\
\end{array}
\end{array}
if t < 3.39999999999999978e-32Initial program 48.4%
Simplified48.4%
associate-*l*46.1%
associate-/r*55.2%
associate-+r+55.2%
metadata-eval55.2%
associate-*l*55.2%
associate-*l/57.6%
clear-num57.6%
associate-*l*57.6%
Applied egg-rr57.6%
associate-/r/57.6%
*-commutative57.6%
associate-*r*57.6%
Simplified57.6%
Taylor expanded in k around inf 69.9%
Taylor expanded in k around 0 59.8%
associate-/l*59.6%
Simplified59.6%
if 3.39999999999999978e-32 < t Initial program 77.3%
Simplified76.0%
Taylor expanded in k around 0 67.6%
unpow259.0%
Applied egg-rr67.6%
associate-/r*65.7%
unpow365.8%
times-frac69.2%
pow269.2%
Applied egg-rr69.2%
unpow269.2%
Applied egg-rr69.2%
Final simplification62.2%
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 (/ 2.0 (* (* 2.0 (* k k)) (* (/ t_m l) (/ (* t_m t_m) l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m / l) * Float64(Float64(t_m * t_m) / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot t\_m}{\ell}\right)}
\end{array}
Initial program 56.3%
Simplified60.9%
Taylor expanded in k around 0 61.6%
unpow266.9%
Applied egg-rr61.6%
associate-/r*55.3%
unpow355.3%
times-frac63.6%
pow263.6%
Applied egg-rr63.6%
unpow263.6%
Applied egg-rr63.6%
Final simplification63.6%
herbie shell --seed 2024182
(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))))