
(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 21 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 2.15e-155)
(*
2.0
(* (pow l 2.0) (/ (cos k) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))))
(/
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 <= 2.15e-155) {
tmp = 2.0 * (pow(l, 2.0) * (cos(k) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0))));
} else {
tmp = 2.0 / pow(((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 <= 2.15e-155) {
tmp = 2.0 * (Math.pow(l, 2.0) * (Math.cos(k) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = 2.0 / Math.pow(((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 <= 2.15e-155) tmp = Float64(2.0 * Float64((l ^ 2.0) * Float64(cos(k) / Float64(Float64(t_m * (k ^ 2.0)) * (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(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, 2.15e-155], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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 2.15 \cdot 10^{-155}:\\
\;\;\;\;2 \cdot \left({\ell}^{2} \cdot \frac{\cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\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 < 2.15000000000000004e-155Initial program 51.1%
Simplified51.1%
add-cube-cbrt51.1%
pow351.1%
associate-/r*54.6%
*-commutative54.6%
cbrt-prod54.6%
associate-/r*51.1%
cbrt-div51.1%
rem-cbrt-cube59.4%
cbrt-prod66.2%
pow266.2%
Applied egg-rr66.2%
cube-mult66.2%
div-inv66.2%
pow-flip66.2%
metadata-eval66.2%
pow266.2%
div-inv66.1%
pow-flip66.2%
metadata-eval66.2%
Applied egg-rr66.2%
unpow266.2%
cube-unmult66.2%
Simplified66.2%
add-cube-cbrt66.1%
pow366.1%
Applied egg-rr72.3%
Taylor expanded in k around inf 67.7%
associate-/l*67.7%
associate-*r*67.8%
Simplified67.8%
if 2.15000000000000004e-155 < t Initial program 63.4%
Simplified63.4%
add-cube-cbrt63.3%
pow363.3%
associate-/r*67.5%
*-commutative67.5%
cbrt-prod67.5%
associate-/r*63.3%
cbrt-div65.3%
rem-cbrt-cube76.0%
cbrt-prod89.0%
pow289.0%
Applied egg-rr89.0%
cube-mult89.0%
div-inv89.0%
pow-flip89.0%
metadata-eval89.0%
pow289.0%
div-inv89.1%
pow-flip89.1%
metadata-eval89.1%
Applied egg-rr89.1%
unpow289.1%
cube-unmult89.1%
Simplified89.1%
add-cube-cbrt89.1%
pow389.1%
Applied egg-rr95.3%
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 1.05e-153)
(*
2.0
(* (pow l 2.0) (/ (cos k) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0)))))
(/
2.0
(*
(sin k)
(pow
(*
(* 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 <= 1.05e-153) {
tmp = 2.0 * (pow(l, 2.0) * (cos(k) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0))));
} else {
tmp = 2.0 / (sin(k) * pow(((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 <= 1.05e-153) {
tmp = 2.0 * (Math.pow(l, 2.0) * (Math.cos(k) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = 2.0 / (Math.sin(k) * Math.pow(((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 <= 1.05e-153) tmp = Float64(2.0 * Float64((l ^ 2.0) * Float64(cos(k) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))))); else tmp = Float64(2.0 / Float64(sin(k) * (Float64(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, 1.05e-153], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $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]]), $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 1.05 \cdot 10^{-153}:\\
\;\;\;\;2 \cdot \left({\ell}^{2} \cdot \frac{\cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\sin k \cdot {\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\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 < 1.05000000000000002e-153Initial program 51.1%
Simplified51.1%
add-cube-cbrt51.1%
pow351.1%
associate-/r*54.6%
*-commutative54.6%
cbrt-prod54.6%
associate-/r*51.1%
cbrt-div51.1%
rem-cbrt-cube59.4%
cbrt-prod66.2%
pow266.2%
Applied egg-rr66.2%
cube-mult66.2%
div-inv66.2%
pow-flip66.2%
metadata-eval66.2%
pow266.2%
div-inv66.1%
pow-flip66.2%
metadata-eval66.2%
Applied egg-rr66.2%
unpow266.2%
cube-unmult66.2%
Simplified66.2%
add-cube-cbrt66.1%
pow366.1%
Applied egg-rr72.3%
Taylor expanded in k around inf 67.7%
associate-/l*67.7%
associate-*r*67.8%
Simplified67.8%
if 1.05000000000000002e-153 < t Initial program 63.4%
Simplified63.4%
add-cube-cbrt63.3%
pow363.3%
associate-/r*67.5%
*-commutative67.5%
cbrt-prod67.5%
associate-/r*63.3%
cbrt-div65.3%
rem-cbrt-cube76.0%
cbrt-prod89.0%
pow289.0%
Applied egg-rr89.0%
cube-mult89.0%
div-inv89.0%
pow-flip89.0%
metadata-eval89.0%
pow289.0%
div-inv89.1%
pow-flip89.1%
metadata-eval89.1%
Applied egg-rr89.1%
unpow289.1%
cube-unmult89.1%
Simplified89.1%
add-cube-cbrt89.1%
pow389.1%
Applied egg-rr95.3%
associate-*l*95.2%
unpow-prod-down90.9%
unpow390.9%
add-cube-cbrt91.0%
Applied egg-rr91.0%
Final simplification77.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0045)
(/
2.0
(pow (* (* t_m (pow (cbrt l) -2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(*
2.0
(* (pow l 2.0) (/ (cos k) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0045) {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = 2.0 * (pow(l, 2.0) * (cos(k) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0045) {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = 2.0 * (Math.pow(l, 2.0) * (Math.cos(k) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0045) tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64(2.0 * Float64((l ^ 2.0) * Float64(cos(k) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0045], N[(2.0 / N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0045:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left({\ell}^{2} \cdot \frac{\cos k}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\right)\\
\end{array}
\end{array}
if k < 0.00449999999999999966Initial program 60.8%
Simplified59.0%
Taylor expanded in k around 0 58.9%
add-cube-cbrt58.9%
pow358.9%
cbrt-prod58.9%
associate-/l/55.9%
unpow255.9%
cbrt-div56.5%
unpow356.5%
add-cbrt-cube62.8%
unpow262.8%
cbrt-prod67.7%
unpow267.7%
div-inv67.6%
pow-flip67.7%
metadata-eval67.7%
Applied egg-rr67.7%
pow267.7%
associate-*r*67.7%
cbrt-prod78.8%
Applied egg-rr78.8%
if 0.00449999999999999966 < k Initial program 43.6%
Simplified43.6%
add-cube-cbrt43.5%
pow343.5%
associate-/r*46.5%
*-commutative46.5%
cbrt-prod46.5%
associate-/r*43.5%
cbrt-div43.5%
rem-cbrt-cube55.4%
cbrt-prod60.8%
pow260.8%
Applied egg-rr60.8%
cube-mult60.8%
div-inv60.8%
pow-flip60.8%
metadata-eval60.8%
pow260.8%
div-inv60.8%
pow-flip60.8%
metadata-eval60.8%
Applied egg-rr60.8%
unpow260.8%
cube-unmult60.8%
Simplified60.8%
add-cube-cbrt60.7%
pow360.7%
Applied egg-rr65.6%
Taylor expanded in k around inf 72.3%
associate-/l*72.4%
associate-*r*72.4%
Simplified72.4%
Final simplification77.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0065)
(/
2.0
(pow (* (* t_m (pow (cbrt l) -2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(*
2.0
(* (cos k) (/ (pow l 2.0) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0065) {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = 2.0 * (cos(k) * (pow(l, 2.0) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0065) {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = 2.0 * (Math.cos(k) * (Math.pow(l, 2.0) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0065) tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64(2.0 * Float64(cos(k) * Float64((l ^ 2.0) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0065], N[(2.0 / N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Cos[k], $MachinePrecision] * N[(N[Power[l, 2.0], $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0065:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(\cos k \cdot \frac{{\ell}^{2}}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\right)\\
\end{array}
\end{array}
if k < 0.0064999999999999997Initial program 60.8%
Simplified59.0%
Taylor expanded in k around 0 58.9%
add-cube-cbrt58.9%
pow358.9%
cbrt-prod58.9%
associate-/l/55.9%
unpow255.9%
cbrt-div56.5%
unpow356.5%
add-cbrt-cube62.8%
unpow262.8%
cbrt-prod67.7%
unpow267.7%
div-inv67.6%
pow-flip67.7%
metadata-eval67.7%
Applied egg-rr67.7%
pow267.7%
associate-*r*67.7%
cbrt-prod78.8%
Applied egg-rr78.8%
if 0.0064999999999999997 < k Initial program 43.6%
Simplified43.6%
add-cube-cbrt43.5%
pow343.5%
associate-/r*46.5%
*-commutative46.5%
cbrt-prod46.5%
associate-/r*43.5%
cbrt-div43.5%
rem-cbrt-cube55.4%
cbrt-prod60.8%
pow260.8%
Applied egg-rr60.8%
Taylor expanded in k around inf 72.3%
*-commutative72.3%
*-commutative72.3%
*-commutative72.3%
associate-*r*72.3%
associate-/l*72.3%
*-commutative72.3%
Simplified72.3%
Final simplification77.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0053)
(/
2.0
(pow (* (* t_m (pow (cbrt l) -2.0)) (* (cbrt (* 2.0 k)) (cbrt k))) 3.0))
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (pow (sin k) 2.0) (* t_m (* k k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0053) {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt((2.0 * k)) * cbrt(k))), 3.0);
} else {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / (pow(sin(k), 2.0) * (t_m * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0053) {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt((2.0 * k)) * Math.cbrt(k))), 3.0);
} else {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / (Math.pow(Math.sin(k), 2.0) * (t_m * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0053) tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(Float64(2.0 * k)) * cbrt(k))) ^ 3.0)); else tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64((sin(k) ^ 2.0) * Float64(t_m * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0053], N[(2.0 / N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] * N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0053:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{2 \cdot k} \cdot \sqrt[3]{k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{\sin k}^{2} \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if k < 0.00530000000000000002Initial program 60.8%
Simplified59.0%
Taylor expanded in k around 0 58.9%
add-cube-cbrt58.9%
pow358.9%
cbrt-prod58.9%
associate-/l/55.9%
unpow255.9%
cbrt-div56.5%
unpow356.5%
add-cbrt-cube62.8%
unpow262.8%
cbrt-prod67.7%
unpow267.7%
div-inv67.6%
pow-flip67.7%
metadata-eval67.7%
Applied egg-rr67.7%
pow267.7%
associate-*r*67.7%
cbrt-prod78.8%
Applied egg-rr78.8%
if 0.00530000000000000002 < k Initial program 43.6%
Simplified43.6%
Taylor expanded in t around 0 72.3%
associate-*r/72.3%
associate-*r*72.3%
Simplified72.3%
unpow272.3%
Applied egg-rr72.3%
Final simplification77.0%
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 (pow (sin k) 2.0)))
(*
t_s
(if (<= k 360.0)
(/ 2.0 (* (* 2.0 k) (pow (* (* t_m (pow (cbrt l) -2.0)) (cbrt k)) 3.0)))
(if (<= k 6.4e+63)
(/ 2.0 (* (/ (/ (pow t_m 3.0) l) l) (* 2.0 (/ t_2 (cos k)))))
(/ (* 2.0 (pow l 2.0)) (* (* t_m (pow k 2.0)) t_2)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow(sin(k), 2.0);
double tmp;
if (k <= 360.0) {
tmp = 2.0 / ((2.0 * k) * pow(((t_m * pow(cbrt(l), -2.0)) * cbrt(k)), 3.0));
} else if (k <= 6.4e+63) {
tmp = 2.0 / (((pow(t_m, 3.0) / l) / l) * (2.0 * (t_2 / cos(k))));
} else {
tmp = (2.0 * pow(l, 2.0)) / ((t_m * pow(k, 2.0)) * t_2);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow(Math.sin(k), 2.0);
double tmp;
if (k <= 360.0) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(k)), 3.0));
} else if (k <= 6.4e+63) {
tmp = 2.0 / (((Math.pow(t_m, 3.0) / l) / l) * (2.0 * (t_2 / Math.cos(k))));
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / ((t_m * Math.pow(k, 2.0)) * t_2);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = sin(k) ^ 2.0 tmp = 0.0 if (k <= 360.0) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(k)) ^ 3.0))); elseif (k <= 6.4e+63) tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(2.0 * Float64(t_2 / cos(k))))); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64(Float64(t_m * (k ^ 2.0)) * t_2)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 360.0], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 6.4e+63], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(2.0 * N[(t$95$2 / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\sin k}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 360:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{k}\right)}^{3}}\\
\mathbf{elif}\;k \leq 6.4 \cdot 10^{+63}:\\
\;\;\;\;\frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(2 \cdot \frac{t\_2}{\cos k}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{\left(t\_m \cdot {k}^{2}\right) \cdot t\_2}\\
\end{array}
\end{array}
\end{array}
if k < 360Initial program 60.7%
Simplified60.7%
add-cube-cbrt60.6%
pow360.6%
associate-/r*64.7%
*-commutative64.7%
cbrt-prod64.7%
associate-/r*60.7%
cbrt-div61.7%
rem-cbrt-cube70.5%
cbrt-prod81.2%
pow281.2%
Applied egg-rr81.2%
cube-mult81.2%
div-inv81.2%
pow-flip81.2%
metadata-eval81.2%
pow281.2%
div-inv81.2%
pow-flip81.2%
metadata-eval81.2%
Applied egg-rr81.2%
unpow281.2%
cube-unmult81.2%
Simplified81.2%
Taylor expanded in k around 0 74.6%
Taylor expanded in k around 0 75.2%
if 360 < k < 6.40000000000000022e63Initial program 25.2%
Simplified37.8%
Taylor expanded in t around inf 63.9%
if 6.40000000000000022e63 < k Initial program 49.1%
Simplified49.1%
Taylor expanded in t around 0 71.4%
associate-*r/71.4%
associate-*r*71.4%
Simplified71.4%
Taylor expanded in k around 0 69.5%
Final simplification73.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 0.0055)
(/ 2.0 (* (* 2.0 k) (pow (* (* t_m (pow (cbrt l) -2.0)) (cbrt k)) 3.0)))
(/
(* 2.0 (* (pow l 2.0) (cos k)))
(* (pow (sin k) 2.0) (* t_m (* k k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0055) {
tmp = 2.0 / ((2.0 * k) * pow(((t_m * pow(cbrt(l), -2.0)) * cbrt(k)), 3.0));
} else {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / (pow(sin(k), 2.0) * (t_m * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.0055) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(k)), 3.0));
} else {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / (Math.pow(Math.sin(k), 2.0) * (t_m * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.0055) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(k)) ^ 3.0))); else tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64((sin(k) ^ 2.0) * Float64(t_m * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.0055], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] * N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.0055:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{k}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{{\sin k}^{2} \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if k < 0.0054999999999999997Initial program 60.8%
Simplified60.8%
add-cube-cbrt60.7%
pow360.8%
associate-/r*64.8%
*-commutative64.8%
cbrt-prod64.8%
associate-/r*60.8%
cbrt-div61.9%
rem-cbrt-cube70.2%
cbrt-prod81.0%
pow281.0%
Applied egg-rr81.0%
cube-mult81.0%
div-inv81.0%
pow-flip81.0%
metadata-eval81.0%
pow281.0%
div-inv81.0%
pow-flip81.0%
metadata-eval81.0%
Applied egg-rr81.0%
unpow281.0%
cube-unmult81.0%
Simplified81.0%
Taylor expanded in k around 0 74.8%
Taylor expanded in k around 0 75.4%
if 0.0054999999999999997 < k Initial program 43.6%
Simplified43.6%
Taylor expanded in t around 0 72.3%
associate-*r/72.3%
associate-*r*72.3%
Simplified72.3%
unpow272.3%
Applied egg-rr72.3%
Final simplification74.6%
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 (<= (* l l) 1e+287)
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow l 2.0)))) 3.0)))
(/ (/ 2.0 (* 2.0 (pow k 2.0))) (pow (* t_m (pow (cbrt l) -2.0)) 3.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(l, 2.0)))), 3.0));
} else {
tmp = (2.0 / (2.0 * pow(k, 2.0))) / pow((t_m * pow(cbrt(l), -2.0)), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(l, 2.0)))), 3.0));
} else {
tmp = (2.0 / (2.0 * Math.pow(k, 2.0))) / Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 1e+287) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (l ^ 2.0)))) ^ 3.0))); else tmp = Float64(Float64(2.0 / Float64(2.0 * (k ^ 2.0))) / (Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 1e+287], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 10^{+287}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{2}{2 \cdot {k}^{2}}}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}}\\
\end{array}
\end{array}
if (*.f64 l l) < 1.0000000000000001e287Initial program 61.7%
Simplified61.7%
add-cube-cbrt61.6%
pow361.6%
associate-/r*65.5%
*-commutative65.5%
cbrt-prod65.5%
associate-/r*61.6%
cbrt-div62.8%
rem-cbrt-cube73.9%
cbrt-prod78.4%
pow278.4%
Applied egg-rr78.4%
cube-mult78.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
pow278.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
Applied egg-rr78.4%
unpow278.4%
cube-unmult78.4%
Simplified78.4%
Taylor expanded in k around 0 67.0%
Taylor expanded in k around 0 71.7%
if 1.0000000000000001e287 < (*.f64 l l) Initial program 42.8%
Simplified46.2%
Taylor expanded in k around 0 55.6%
add-cube-cbrt55.6%
pow355.6%
cbrt-prod55.6%
associate-/l/52.1%
unpow252.1%
cbrt-div52.1%
unpow352.1%
add-cbrt-cube54.3%
unpow254.3%
cbrt-prod63.0%
unpow263.0%
div-inv63.0%
pow-flip63.0%
metadata-eval63.0%
Applied egg-rr63.0%
*-un-lft-identity63.0%
*-commutative63.0%
unpow-prod-down62.8%
pow1/362.5%
pow262.5%
pow-pow62.8%
metadata-eval62.8%
pow162.8%
pow262.8%
Applied egg-rr62.8%
*-lft-identity62.8%
associate-/r*62.8%
Simplified62.8%
Final simplification69.1%
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 (<= (* l l) 1e+287)
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow l 2.0)))) 3.0)))
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (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 ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(l, 2.0)))), 3.0));
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * pow(k, 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(l, 2.0)))), 3.0));
} else {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * 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 (Float64(l * l) <= 1e+287) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (l ^ 2.0)))) ^ 3.0))); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * (k ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 1e+287], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[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}\;\ell \cdot \ell \leq 10^{+287}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot {k}^{2}\right)}\\
\end{array}
\end{array}
if (*.f64 l l) < 1.0000000000000001e287Initial program 61.7%
Simplified61.7%
add-cube-cbrt61.6%
pow361.6%
associate-/r*65.5%
*-commutative65.5%
cbrt-prod65.5%
associate-/r*61.6%
cbrt-div62.8%
rem-cbrt-cube73.9%
cbrt-prod78.4%
pow278.4%
Applied egg-rr78.4%
cube-mult78.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
pow278.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
Applied egg-rr78.4%
unpow278.4%
cube-unmult78.4%
Simplified78.4%
Taylor expanded in k around 0 67.0%
Taylor expanded in k around 0 71.7%
if 1.0000000000000001e287 < (*.f64 l l) Initial program 42.8%
Simplified46.2%
Taylor expanded in k around 0 55.6%
add-cube-cbrt55.6%
pow355.6%
cbrt-prod55.6%
associate-/l/52.1%
unpow252.1%
cbrt-div52.1%
unpow352.1%
add-cbrt-cube54.3%
unpow254.3%
cbrt-prod63.0%
unpow263.0%
div-inv63.0%
pow-flip63.0%
metadata-eval63.0%
Applied egg-rr63.0%
cube-prod62.8%
rem-cube-cbrt62.8%
Simplified62.8%
Final simplification69.1%
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 (<= k 0.007)
(/ 2.0 (* (* 2.0 k) (pow (* (* t_m (pow (cbrt l) -2.0)) (cbrt k)) 3.0)))
(/ (* 2.0 (* (pow l 2.0) (cos k))) (* t_m (pow k 4.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.007) {
tmp = 2.0 / ((2.0 * k) * pow(((t_m * pow(cbrt(l), -2.0)) * cbrt(k)), 3.0));
} else {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / (t_m * pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 0.007) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(k)), 3.0));
} else {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / (t_m * Math.pow(k, 4.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 0.007) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(k)) ^ 3.0))); else tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(t_m * (k ^ 4.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 0.007], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 0.007:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{k}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 0.00700000000000000015Initial program 60.8%
Simplified60.8%
add-cube-cbrt60.7%
pow360.8%
associate-/r*64.8%
*-commutative64.8%
cbrt-prod64.8%
associate-/r*60.8%
cbrt-div61.9%
rem-cbrt-cube70.2%
cbrt-prod81.0%
pow281.0%
Applied egg-rr81.0%
cube-mult81.0%
div-inv81.0%
pow-flip81.0%
metadata-eval81.0%
pow281.0%
div-inv81.0%
pow-flip81.0%
metadata-eval81.0%
Applied egg-rr81.0%
unpow281.0%
cube-unmult81.0%
Simplified81.0%
Taylor expanded in k around 0 74.8%
Taylor expanded in k around 0 75.4%
if 0.00700000000000000015 < k Initial program 43.6%
Simplified43.6%
Taylor expanded in t around 0 72.3%
associate-*r/72.3%
associate-*r*72.3%
Simplified72.3%
Taylor expanded in k around 0 62.3%
Final simplification71.9%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 6.4e+47)
(/ 2.0 (* (* 2.0 k) (* (sin k) (pow (* t_m (pow (cbrt l) -2.0)) 3.0))))
(/ (* 2.0 (pow l 2.0)) (* (* t_m (pow k 2.0)) (pow (sin k) 2.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 6.4e+47) {
tmp = 2.0 / ((2.0 * k) * (sin(k) * pow((t_m * pow(cbrt(l), -2.0)), 3.0)));
} else {
tmp = (2.0 * pow(l, 2.0)) / ((t_m * pow(k, 2.0)) * pow(sin(k), 2.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 6.4e+47) {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0)));
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / ((t_m * Math.pow(k, 2.0)) * Math.pow(Math.sin(k), 2.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 6.4e+47) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * (Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0)))); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64(Float64(t_m * (k ^ 2.0)) * (sin(k) ^ 2.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 6.4e+47], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 6.4 \cdot 10^{+47}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{\left(t\_m \cdot {k}^{2}\right) \cdot {\sin k}^{2}}\\
\end{array}
\end{array}
if k < 6.4e47Initial program 58.4%
Simplified58.4%
add-cube-cbrt58.3%
pow358.3%
associate-/r*63.1%
*-commutative63.1%
cbrt-prod63.1%
associate-/r*58.3%
cbrt-div59.4%
rem-cbrt-cube68.1%
cbrt-prod79.7%
pow279.7%
Applied egg-rr79.7%
cube-mult79.7%
div-inv79.7%
pow-flip79.7%
metadata-eval79.7%
pow279.7%
div-inv79.7%
pow-flip79.7%
metadata-eval79.7%
Applied egg-rr79.7%
unpow279.7%
cube-unmult79.7%
Simplified79.7%
Taylor expanded in k around 0 73.1%
*-commutative73.1%
unpow-prod-down68.4%
pow368.4%
add-cube-cbrt68.4%
Applied egg-rr68.4%
if 6.4e47 < k Initial program 48.3%
Simplified48.3%
Taylor expanded in t around 0 72.8%
associate-*r/72.8%
associate-*r*72.8%
Simplified72.8%
Taylor expanded in k around 0 68.8%
Final simplification68.5%
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 (<= (* l l) 1e+287)
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow l 2.0)))) 3.0)))
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(l, 2.0)))), 3.0));
} else {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 1e+287) {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(l, 2.0)))), 3.0));
} else {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 1e+287) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (l ^ 2.0)))) ^ 3.0))); else tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 1e+287], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 10^{+287}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if (*.f64 l l) < 1.0000000000000001e287Initial program 61.7%
Simplified61.7%
add-cube-cbrt61.6%
pow361.6%
associate-/r*65.5%
*-commutative65.5%
cbrt-prod65.5%
associate-/r*61.6%
cbrt-div62.8%
rem-cbrt-cube73.9%
cbrt-prod78.4%
pow278.4%
Applied egg-rr78.4%
cube-mult78.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
pow278.4%
div-inv78.4%
pow-flip78.4%
metadata-eval78.4%
Applied egg-rr78.4%
unpow278.4%
cube-unmult78.4%
Simplified78.4%
Taylor expanded in k around 0 67.0%
Taylor expanded in k around 0 71.7%
if 1.0000000000000001e287 < (*.f64 l l) Initial program 42.8%
Simplified46.2%
Taylor expanded in k around 0 55.6%
unpow258.3%
Applied egg-rr55.6%
add-cube-cbrt55.6%
pow355.6%
associate-/r*52.1%
cbrt-div52.1%
rem-cbrt-cube54.3%
cbrt-prod62.8%
pow262.8%
Applied egg-rr62.8%
Final simplification69.1%
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 6.2e-22)
(/ (* 2.0 (* (pow l 2.0) (cos k))) (* t_m (pow k 4.0)))
(/ 2.0 (* (* 2.0 k) (pow (* t_m (cbrt (/ k (pow l 2.0)))) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6.2e-22) {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / (t_m * pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * k) * pow((t_m * cbrt((k / pow(l, 2.0)))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 6.2e-22) {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / (t_m * Math.pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * k) * Math.pow((t_m * Math.cbrt((k / Math.pow(l, 2.0)))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 6.2e-22) tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(t_m * (k ^ 4.0))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(t_m * cbrt(Float64(k / (l ^ 2.0)))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 6.2e-22], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[(k / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 6.2 \cdot 10^{-22}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(t\_m \cdot \sqrt[3]{\frac{k}{{\ell}^{2}}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 6.20000000000000025e-22Initial program 52.1%
Simplified52.1%
Taylor expanded in t around 0 69.4%
associate-*r/69.4%
associate-*r*69.4%
Simplified69.4%
Taylor expanded in k around 0 63.1%
if 6.20000000000000025e-22 < t Initial program 66.8%
Simplified66.8%
add-cube-cbrt66.7%
pow366.7%
associate-/r*70.0%
*-commutative70.0%
cbrt-prod70.0%
associate-/r*66.7%
cbrt-div69.7%
rem-cbrt-cube77.0%
cbrt-prod92.4%
pow292.4%
Applied egg-rr92.4%
cube-mult92.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
pow292.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
Applied egg-rr92.4%
unpow292.4%
cube-unmult92.4%
Simplified92.4%
Taylor expanded in k around 0 80.7%
Taylor expanded in k around 0 71.6%
Final simplification65.5%
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 7.6e-25)
(/ (* 2.0 (* (pow l 2.0) (cos k))) (* t_m (pow k 4.0)))
(/ 2.0 (* (* 2.0 k) (/ (* k (pow t_m 3.0)) (pow l 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 7.6e-25) {
tmp = (2.0 * (pow(l, 2.0) * cos(k))) / (t_m * pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * pow(t_m, 3.0)) / pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 7.6d-25) then
tmp = (2.0d0 * ((l ** 2.0d0) * cos(k))) / (t_m * (k ** 4.0d0))
else
tmp = 2.0d0 / ((2.0d0 * k) * ((k * (t_m ** 3.0d0)) / (l ** 2.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 7.6e-25) {
tmp = (2.0 * (Math.pow(l, 2.0) * Math.cos(k))) / (t_m * Math.pow(k, 4.0));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * Math.pow(t_m, 3.0)) / Math.pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 7.6e-25: tmp = (2.0 * (math.pow(l, 2.0) * math.cos(k))) / (t_m * math.pow(k, 4.0)) else: tmp = 2.0 / ((2.0 * k) * ((k * math.pow(t_m, 3.0)) / math.pow(l, 2.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 7.6e-25) tmp = Float64(Float64(2.0 * Float64((l ^ 2.0) * cos(k))) / Float64(t_m * (k ^ 4.0))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(Float64(k * (t_m ^ 3.0)) / (l ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 7.6e-25) tmp = (2.0 * ((l ^ 2.0) * cos(k))) / (t_m * (k ^ 4.0)); else tmp = 2.0 / ((2.0 * k) * ((k * (t_m ^ 3.0)) / (l ^ 2.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 7.6e-25], N[(N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.6 \cdot 10^{-25}:\\
\;\;\;\;\frac{2 \cdot \left({\ell}^{2} \cdot \cos k\right)}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \frac{k \cdot {t\_m}^{3}}{{\ell}^{2}}}\\
\end{array}
\end{array}
if t < 7.5999999999999996e-25Initial program 52.1%
Simplified52.1%
Taylor expanded in t around 0 69.4%
associate-*r/69.4%
associate-*r*69.4%
Simplified69.4%
Taylor expanded in k around 0 63.1%
if 7.5999999999999996e-25 < t Initial program 66.8%
Simplified66.8%
add-cube-cbrt66.7%
pow366.7%
associate-/r*70.0%
*-commutative70.0%
cbrt-prod70.0%
associate-/r*66.7%
cbrt-div69.7%
rem-cbrt-cube77.0%
cbrt-prod92.4%
pow292.4%
Applied egg-rr92.4%
cube-mult92.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
pow292.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
Applied egg-rr92.4%
unpow292.4%
cube-unmult92.4%
Simplified92.4%
Taylor expanded in k around 0 80.7%
Taylor expanded in k around 0 68.4%
Final simplification64.6%
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 4.2e-25)
(* 2.0 (/ (pow l 2.0) (* (pow k 3.0) (* t_m (sin k)))))
(/ 2.0 (* (* 2.0 k) (/ (* k (pow t_m 3.0)) (pow l 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.2e-25) {
tmp = 2.0 * (pow(l, 2.0) / (pow(k, 3.0) * (t_m * sin(k))));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * pow(t_m, 3.0)) / pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 4.2d-25) then
tmp = 2.0d0 * ((l ** 2.0d0) / ((k ** 3.0d0) * (t_m * sin(k))))
else
tmp = 2.0d0 / ((2.0d0 * k) * ((k * (t_m ** 3.0d0)) / (l ** 2.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.2e-25) {
tmp = 2.0 * (Math.pow(l, 2.0) / (Math.pow(k, 3.0) * (t_m * Math.sin(k))));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * Math.pow(t_m, 3.0)) / Math.pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 4.2e-25: tmp = 2.0 * (math.pow(l, 2.0) / (math.pow(k, 3.0) * (t_m * math.sin(k)))) else: tmp = 2.0 / ((2.0 * k) * ((k * math.pow(t_m, 3.0)) / math.pow(l, 2.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 4.2e-25) tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64((k ^ 3.0) * Float64(t_m * sin(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(Float64(k * (t_m ^ 3.0)) / (l ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 4.2e-25) tmp = 2.0 * ((l ^ 2.0) / ((k ^ 3.0) * (t_m * sin(k)))); else tmp = 2.0 / ((2.0 * k) * ((k * (t_m ^ 3.0)) / (l ^ 2.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 4.2e-25], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(N[Power[k, 3.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.2 \cdot 10^{-25}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{{k}^{3} \cdot \left(t\_m \cdot \sin k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \frac{k \cdot {t\_m}^{3}}{{\ell}^{2}}}\\
\end{array}
\end{array}
if t < 4.20000000000000005e-25Initial program 52.1%
Simplified51.6%
Taylor expanded in k around 0 49.6%
Taylor expanded in k around inf 60.9%
if 4.20000000000000005e-25 < t Initial program 66.8%
Simplified66.8%
add-cube-cbrt66.7%
pow366.7%
associate-/r*70.0%
*-commutative70.0%
cbrt-prod70.0%
associate-/r*66.7%
cbrt-div69.7%
rem-cbrt-cube77.0%
cbrt-prod92.4%
pow292.4%
Applied egg-rr92.4%
cube-mult92.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
pow292.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
Applied egg-rr92.4%
unpow292.4%
cube-unmult92.4%
Simplified92.4%
Taylor expanded in k around 0 80.7%
Taylor expanded in k around 0 68.4%
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 1.7e-25)
(* 2.0 (/ (pow l 2.0) (* t_m (pow k 4.0))))
(/ 2.0 (* (* 2.0 k) (/ (* k (pow t_m 3.0)) (pow l 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-25) {
tmp = 2.0 * (pow(l, 2.0) / (t_m * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * pow(t_m, 3.0)) / pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 1.7d-25) then
tmp = 2.0d0 * ((l ** 2.0d0) / (t_m * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * k) * ((k * (t_m ** 3.0d0)) / (l ** 2.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-25) {
tmp = 2.0 * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * k) * ((k * Math.pow(t_m, 3.0)) / Math.pow(l, 2.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 1.7e-25: tmp = 2.0 * (math.pow(l, 2.0) / (t_m * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * k) * ((k * math.pow(t_m, 3.0)) / math.pow(l, 2.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.7e-25) tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64(t_m * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(Float64(k * (t_m ^ 3.0)) / (l ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 1.7e-25) tmp = 2.0 * ((l ^ 2.0) / (t_m * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * k) * ((k * (t_m ^ 3.0)) / (l ^ 2.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.7e-25], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.7 \cdot 10^{-25}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \frac{k \cdot {t\_m}^{3}}{{\ell}^{2}}}\\
\end{array}
\end{array}
if t < 1.70000000000000001e-25Initial program 52.1%
Simplified52.1%
Taylor expanded in t around 0 69.4%
associate-*r/69.4%
associate-*r*69.4%
Simplified69.4%
Taylor expanded in k around 0 60.8%
if 1.70000000000000001e-25 < t Initial program 66.8%
Simplified66.8%
add-cube-cbrt66.7%
pow366.7%
associate-/r*70.0%
*-commutative70.0%
cbrt-prod70.0%
associate-/r*66.7%
cbrt-div69.7%
rem-cbrt-cube77.0%
cbrt-prod92.4%
pow292.4%
Applied egg-rr92.4%
cube-mult92.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
pow292.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
Applied egg-rr92.4%
unpow292.4%
cube-unmult92.4%
Simplified92.4%
Taylor expanded in k around 0 80.7%
Taylor expanded in k around 0 68.4%
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 2.8e-21)
(* 2.0 (/ (pow l 2.0) (* t_m (pow k 4.0))))
(/ 2.0 (* (* 2.0 k) (* k (/ (pow t_m 3.0) (pow l 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-21) {
tmp = 2.0 * (pow(l, 2.0) / (t_m * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * k) * (k * (pow(t_m, 3.0) / pow(l, 2.0))));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.8d-21) then
tmp = 2.0d0 * ((l ** 2.0d0) / (t_m * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * k) * (k * ((t_m ** 3.0d0) / (l ** 2.0d0))))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-21) {
tmp = 2.0 * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * k) * (k * (Math.pow(t_m, 3.0) / Math.pow(l, 2.0))));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.8e-21: tmp = 2.0 * (math.pow(l, 2.0) / (t_m * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * k) * (k * (math.pow(t_m, 3.0) / math.pow(l, 2.0)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.8e-21) tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64(t_m * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(k * Float64((t_m ^ 3.0) / (l ^ 2.0))))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.8e-21) tmp = 2.0 * ((l ^ 2.0) / (t_m * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * k) * (k * ((t_m ^ 3.0) / (l ^ 2.0)))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.8e-21], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(k * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-21}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(k \cdot \frac{{t\_m}^{3}}{{\ell}^{2}}\right)}\\
\end{array}
\end{array}
if t < 2.80000000000000004e-21Initial program 52.1%
Simplified52.1%
Taylor expanded in t around 0 69.4%
associate-*r/69.4%
associate-*r*69.4%
Simplified69.4%
Taylor expanded in k around 0 60.8%
if 2.80000000000000004e-21 < t Initial program 66.8%
Simplified66.8%
add-cube-cbrt66.7%
pow366.7%
associate-/r*70.0%
*-commutative70.0%
cbrt-prod70.0%
associate-/r*66.7%
cbrt-div69.7%
rem-cbrt-cube77.0%
cbrt-prod92.4%
pow292.4%
Applied egg-rr92.4%
cube-mult92.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
pow292.4%
div-inv92.4%
pow-flip92.4%
metadata-eval92.4%
Applied egg-rr92.4%
unpow292.4%
cube-unmult92.4%
Simplified92.4%
Taylor expanded in k around 0 80.7%
Taylor expanded in k around 0 68.4%
associate-/l*65.4%
Simplified65.4%
Final simplification62.1%
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 (<= k 1.25e-34)
(/ 2.0 (* (* 2.0 (* k k)) (/ (* t_m (/ (pow t_m 2.0) l)) l)))
(* 2.0 (/ (pow l 2.0) (* t_m (pow k 4.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.25e-34) {
tmp = 2.0 / ((2.0 * (k * k)) * ((t_m * (pow(t_m, 2.0) / l)) / l));
} else {
tmp = 2.0 * (pow(l, 2.0) / (t_m * pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 1.25d-34) then
tmp = 2.0d0 / ((2.0d0 * (k * k)) * ((t_m * ((t_m ** 2.0d0) / l)) / l))
else
tmp = 2.0d0 * ((l ** 2.0d0) / (t_m * (k ** 4.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.25e-34) {
tmp = 2.0 / ((2.0 * (k * k)) * ((t_m * (Math.pow(t_m, 2.0) / l)) / l));
} else {
tmp = 2.0 * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 4.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 1.25e-34: tmp = 2.0 / ((2.0 * (k * k)) * ((t_m * (math.pow(t_m, 2.0) / l)) / l)) else: tmp = 2.0 * (math.pow(l, 2.0) / (t_m * math.pow(k, 4.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1.25e-34) tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m * Float64((t_m ^ 2.0) / l)) / l))); else tmp = Float64(2.0 * Float64((l ^ 2.0) / Float64(t_m * (k ^ 4.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 1.25e-34) tmp = 2.0 / ((2.0 * (k * k)) * ((t_m * ((t_m ^ 2.0) / l)) / l)); else tmp = 2.0 * ((l ^ 2.0) / (t_m * (k ^ 4.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1.25e-34], N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.25 \cdot 10^{-34}:\\
\;\;\;\;\frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \frac{t\_m \cdot \frac{{t\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 1.2500000000000001e-34Initial program 60.8%
Simplified58.8%
Taylor expanded in k around 0 59.2%
unpow259.1%
Applied egg-rr59.2%
associate-/r*56.2%
unpow356.2%
times-frac60.4%
pow260.4%
Applied egg-rr60.4%
associate-*r/60.4%
Applied egg-rr60.4%
if 1.2500000000000001e-34 < k Initial program 45.7%
Simplified45.7%
Taylor expanded in t around 0 72.1%
associate-*r/72.1%
associate-*r*72.1%
Simplified72.1%
Taylor expanded in k around 0 59.4%
Final simplification60.1%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (/ (* t_m (/ (pow t_m 2.0) l)) l)))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m * (pow(t_m, 2.0) / l)) / l)));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * ((t_m * ((t_m ** 2.0d0) / l)) / l)))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m * (Math.pow(t_m, 2.0) / l)) / l)));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m * (math.pow(t_m, 2.0) / l)) / l)))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m * Float64((t_m ^ 2.0) / l)) / l)))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * ((t_m * ((t_m ^ 2.0) / l)) / l))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \frac{t\_m \cdot \frac{{t\_m}^{2}}{\ell}}{\ell}}
\end{array}
Initial program 56.2%
Simplified55.6%
Taylor expanded in k around 0 56.9%
unpow263.1%
Applied egg-rr56.9%
associate-/r*53.9%
unpow353.9%
times-frac58.1%
pow258.1%
Applied egg-rr58.1%
associate-*r/58.1%
Applied egg-rr58.1%
Final simplification58.1%
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 (/ 2.0 (* (* 2.0 (* k k)) (* (/ (pow t_m 2.0) l) (/ t_m l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((pow(t_m, 2.0) / l) * (t_m / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 2.0d0) / l) * (t_m / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((Math.pow(t_m, 2.0) / l) * (t_m / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((math.pow(t_m, 2.0) / l) * (t_m / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * (((t_m ^ 2.0) / l) * (t_m / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)}
\end{array}
Initial program 56.2%
Simplified55.6%
Taylor expanded in k around 0 56.9%
unpow263.1%
Applied egg-rr56.9%
associate-/r*53.9%
unpow353.9%
times-frac58.1%
pow258.1%
Applied egg-rr58.1%
Final simplification58.1%
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 (/ 2.0 (* (/ (/ (pow t_m 3.0) l) l) (* 2.0 (* k k))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((pow(t_m, 3.0) / l) / l) * (2.0 * (k * k))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((((t_m ** 3.0d0) / l) / l) * (2.0d0 * (k * k))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((Math.pow(t_m, 3.0) / l) / l) * (2.0 * (k * k))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / (((math.pow(t_m, 3.0) / l) / l) * (2.0 * (k * k))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(Float64((t_m ^ 3.0) / l) / l) * Float64(2.0 * Float64(k * k))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((((t_m ^ 3.0) / l) / l) * (2.0 * (k * k)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{\frac{{t\_m}^{3}}{\ell}}{\ell} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}
\end{array}
Initial program 56.2%
Simplified55.6%
Taylor expanded in k around 0 56.9%
unpow263.1%
Applied egg-rr56.9%
herbie shell --seed 2024146
(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))))