
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 4.8e-157)
(pow (* l (* (/ (sqrt 2.0) (* k (sin k))) (sqrt (/ (cos k) t_m)))) 2.0)
(/
2.0
(pow
(*
(* t_m (* (cbrt (sin k)) (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 <= 4.8e-157) {
tmp = pow((l * ((sqrt(2.0) / (k * sin(k))) * sqrt((cos(k) / t_m)))), 2.0);
} else {
tmp = 2.0 / pow(((t_m * (cbrt(sin(k)) * 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 <= 4.8e-157) {
tmp = Math.pow((l * ((Math.sqrt(2.0) / (k * Math.sin(k))) * Math.sqrt((Math.cos(k) / t_m)))), 2.0);
} else {
tmp = 2.0 / Math.pow(((t_m * (Math.cbrt(Math.sin(k)) * 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 <= 4.8e-157) tmp = Float64(l * Float64(Float64(sqrt(2.0) / Float64(k * sin(k))) * sqrt(Float64(cos(k) / t_m)))) ^ 2.0; else tmp = Float64(2.0 / (Float64(Float64(t_m * Float64(cbrt(sin(k)) * (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, 4.8e-157], N[Power[N[(l * N[(N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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 4.8 \cdot 10^{-157}:\\
\;\;\;\;{\left(\ell \cdot \left(\frac{\sqrt{2}}{k \cdot \sin k} \cdot \sqrt{\frac{\cos k}{t\_m}}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot \left(\sqrt[3]{\sin k} \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 < 4.8e-157Initial program 49.4%
Simplified50.5%
add-sqr-sqrt37.1%
sqrt-div34.6%
sqrt-div34.6%
Applied egg-rr36.1%
unpow236.1%
associate-/l*36.1%
associate-*l*32.2%
Simplified32.2%
Taylor expanded in t around 0 31.6%
if 4.8e-157 < t Initial program 70.0%
Simplified70.0%
add-cube-cbrt70.0%
pow370.0%
associate-/r*74.4%
*-commutative74.4%
cbrt-prod74.4%
associate-/r*69.9%
cbrt-div69.9%
rem-cbrt-cube78.9%
cbrt-prod92.8%
pow292.8%
Applied egg-rr92.8%
cube-mult92.8%
div-inv92.8%
pow-flip92.8%
metadata-eval92.8%
pow292.8%
div-inv92.9%
pow-flip92.8%
metadata-eval92.8%
Applied egg-rr92.8%
unpow292.8%
cube-unmult92.8%
associate-*r*92.9%
*-commutative92.9%
Simplified92.9%
add-cube-cbrt92.9%
pow392.9%
Applied egg-rr95.7%
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 4.2e-127)
(/
2.0
(pow
(*
(* t_m (* (cbrt (sin k)) (pow (cbrt l) -2.0)))
(* (cbrt k) (cbrt 2.0)))
3.0))
(if (<= k 2.35e+81)
(/
2.0
(*
(pow (* (/ (pow t_m 1.5) l) (hypot 1.0 (hypot 1.0 (/ k t_m)))) 2.0)
(* (sin k) (tan 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 <= 4.2e-127) {
tmp = 2.0 / pow(((t_m * (cbrt(sin(k)) * pow(cbrt(l), -2.0))) * (cbrt(k) * cbrt(2.0))), 3.0);
} else if (k <= 2.35e+81) {
tmp = 2.0 / (pow(((pow(t_m, 1.5) / l) * hypot(1.0, hypot(1.0, (k / t_m)))), 2.0) * (sin(k) * tan(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 <= 4.2e-127) {
tmp = 2.0 / Math.pow(((t_m * (Math.cbrt(Math.sin(k)) * Math.pow(Math.cbrt(l), -2.0))) * (Math.cbrt(k) * Math.cbrt(2.0))), 3.0);
} else if (k <= 2.35e+81) {
tmp = 2.0 / (Math.pow(((Math.pow(t_m, 1.5) / l) * Math.hypot(1.0, Math.hypot(1.0, (k / t_m)))), 2.0) * (Math.sin(k) * Math.tan(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 <= 4.2e-127) tmp = Float64(2.0 / (Float64(Float64(t_m * Float64(cbrt(sin(k)) * (cbrt(l) ^ -2.0))) * Float64(cbrt(k) * cbrt(2.0))) ^ 3.0)); elseif (k <= 2.35e+81) tmp = Float64(2.0 / Float64((Float64(Float64((t_m ^ 1.5) / l) * hypot(1.0, hypot(1.0, Float64(k / t_m)))) ^ 2.0) * Float64(sin(k) * tan(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, 4.2e-127], N[(2.0 / N[Power[N[(N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[k, 1/3], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 2.35e+81], N[(2.0 / N[(N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $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 4.2 \cdot 10^{-127}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot \left(\sqrt[3]{\sin k} \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right) \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2}\right)\right)}^{3}}\\
\mathbf{elif}\;k \leq 2.35 \cdot 10^{+81}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)\right)}^{2} \cdot \left(\sin k \cdot \tan k\right)}\\
\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 < 4.2000000000000002e-127Initial program 55.2%
Simplified55.2%
add-cube-cbrt55.2%
pow355.2%
associate-/r*60.0%
*-commutative60.0%
cbrt-prod59.9%
associate-/r*55.2%
cbrt-div56.3%
rem-cbrt-cube66.8%
cbrt-prod82.8%
pow282.8%
Applied egg-rr82.8%
cube-mult82.8%
div-inv82.8%
pow-flip82.8%
metadata-eval82.8%
pow282.8%
div-inv82.8%
pow-flip82.8%
metadata-eval82.8%
Applied egg-rr82.8%
unpow282.8%
cube-unmult82.8%
associate-*r*82.8%
*-commutative82.8%
Simplified82.8%
add-cube-cbrt82.7%
pow382.7%
Applied egg-rr88.6%
Taylor expanded in k around 0 77.7%
if 4.2000000000000002e-127 < k < 2.3500000000000001e81Initial program 63.1%
Simplified63.1%
associate-*l*63.1%
associate-/r*66.1%
associate-+r+66.1%
metadata-eval66.1%
associate-*l*66.1%
add-sqr-sqrt29.0%
pow229.0%
Applied egg-rr28.8%
associate-*r*28.8%
unpow-prod-down28.8%
pow228.8%
add-sqr-sqrt41.0%
Applied egg-rr41.0%
if 2.3500000000000001e81 < k Initial program 59.5%
Simplified59.5%
associate-*l*59.5%
associate-/r*65.2%
associate-+r+65.2%
metadata-eval65.2%
associate-*l*65.2%
add-cube-cbrt65.2%
pow365.2%
Applied egg-rr84.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.2e-116)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(/
2.0
(*
(pow (* (pow (cbrt l) -2.0) (* t_m (cbrt (sin k)))) 3.0)
(* (tan k) (+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.2e-116) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else {
tmp = 2.0 / (pow((pow(cbrt(l), -2.0) * (t_m * cbrt(sin(k)))), 3.0) * (tan(k) * (1.0 + (pow((k / t_m), 2.0) + 1.0))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.2e-116) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else {
tmp = 2.0 / (Math.pow((Math.pow(Math.cbrt(l), -2.0) * (t_m * Math.cbrt(Math.sin(k)))), 3.0) * (Math.tan(k) * (1.0 + (Math.pow((k / t_m), 2.0) + 1.0))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.2e-116) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; else tmp = Float64(2.0 / Float64((Float64((cbrt(l) ^ -2.0) * Float64(t_m * cbrt(sin(k)))) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.2e-116], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $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 2.2 \cdot 10^{-116}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left({\left(\sqrt[3]{\ell}\right)}^{-2} \cdot \left(t\_m \cdot \sqrt[3]{\sin k}\right)\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right)\right)}\\
\end{array}
\end{array}
if t < 2.2000000000000001e-116Initial program 48.8%
Simplified49.9%
add-sqr-sqrt37.2%
sqrt-div34.7%
sqrt-div34.7%
Applied egg-rr36.9%
unpow236.9%
associate-/l*36.9%
associate-*l*33.1%
Simplified33.1%
Taylor expanded in t around 0 33.7%
associate-/l*33.8%
Simplified33.8%
if 2.2000000000000001e-116 < t Initial program 72.9%
Simplified72.9%
add-cube-cbrt72.8%
pow372.8%
associate-/r*76.4%
*-commutative76.4%
cbrt-prod76.4%
associate-/r*72.7%
cbrt-div72.7%
rem-cbrt-cube82.4%
cbrt-prod95.5%
pow295.5%
Applied egg-rr95.5%
cube-mult95.5%
div-inv95.5%
pow-flip95.5%
metadata-eval95.5%
pow295.5%
div-inv95.5%
pow-flip95.5%
metadata-eval95.5%
Applied egg-rr95.5%
unpow295.5%
cube-unmult95.5%
associate-*r*95.5%
*-commutative95.5%
Simplified95.5%
Final simplification55.7%
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-124)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(/
2.0
(*
(* (tan k) (+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0)))
(pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.8e-124) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (pow((k / t_m), 2.0) + 1.0))) * pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.8e-124) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (Math.pow((k / t_m), 2.0) + 1.0))) * Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.8e-124) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0))) * (Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.8e-124], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\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^{-124}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right)\right) \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 1.80000000000000005e-124Initial program 48.8%
Simplified49.9%
add-sqr-sqrt37.2%
sqrt-div34.7%
sqrt-div34.7%
Applied egg-rr36.9%
unpow236.9%
associate-/l*36.9%
associate-*l*33.1%
Simplified33.1%
Taylor expanded in t around 0 33.7%
associate-/l*33.8%
Simplified33.8%
if 1.80000000000000005e-124 < t Initial program 72.9%
Simplified72.9%
add-cube-cbrt72.8%
pow372.8%
associate-/r*76.4%
*-commutative76.4%
cbrt-prod76.4%
associate-/r*72.7%
cbrt-div72.7%
rem-cbrt-cube82.4%
cbrt-prod95.5%
pow295.5%
Applied egg-rr95.5%
Final simplification55.7%
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 3.6e-127)
(/
2.0
(pow
(*
(* t_m (* (cbrt (sin k)) (pow (cbrt l) -2.0)))
(* (cbrt k) (cbrt 2.0)))
3.0))
(/
2.0
(*
(pow (* (/ (pow t_m 1.5) l) (hypot 1.0 (hypot 1.0 (/ k t_m)))) 2.0)
(* (sin k) (tan k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.6e-127) {
tmp = 2.0 / pow(((t_m * (cbrt(sin(k)) * pow(cbrt(l), -2.0))) * (cbrt(k) * cbrt(2.0))), 3.0);
} else {
tmp = 2.0 / (pow(((pow(t_m, 1.5) / l) * hypot(1.0, hypot(1.0, (k / t_m)))), 2.0) * (sin(k) * tan(k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.6e-127) {
tmp = 2.0 / Math.pow(((t_m * (Math.cbrt(Math.sin(k)) * Math.pow(Math.cbrt(l), -2.0))) * (Math.cbrt(k) * Math.cbrt(2.0))), 3.0);
} else {
tmp = 2.0 / (Math.pow(((Math.pow(t_m, 1.5) / l) * Math.hypot(1.0, Math.hypot(1.0, (k / t_m)))), 2.0) * (Math.sin(k) * Math.tan(k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 3.6e-127) tmp = Float64(2.0 / (Float64(Float64(t_m * Float64(cbrt(sin(k)) * (cbrt(l) ^ -2.0))) * Float64(cbrt(k) * cbrt(2.0))) ^ 3.0)); else tmp = Float64(2.0 / Float64((Float64(Float64((t_m ^ 1.5) / l) * hypot(1.0, hypot(1.0, Float64(k / t_m)))) ^ 2.0) * Float64(sin(k) * tan(k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 3.6e-127], N[(2.0 / N[Power[N[(N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[k, 1/3], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[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 3.6 \cdot 10^{-127}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot \left(\sqrt[3]{\sin k} \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)\right) \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)\right)}^{2} \cdot \left(\sin k \cdot \tan k\right)}\\
\end{array}
\end{array}
if k < 3.5999999999999999e-127Initial program 55.2%
Simplified55.2%
add-cube-cbrt55.2%
pow355.2%
associate-/r*60.0%
*-commutative60.0%
cbrt-prod59.9%
associate-/r*55.2%
cbrt-div56.3%
rem-cbrt-cube66.8%
cbrt-prod82.8%
pow282.8%
Applied egg-rr82.8%
cube-mult82.8%
div-inv82.8%
pow-flip82.8%
metadata-eval82.8%
pow282.8%
div-inv82.8%
pow-flip82.8%
metadata-eval82.8%
Applied egg-rr82.8%
unpow282.8%
cube-unmult82.8%
associate-*r*82.8%
*-commutative82.8%
Simplified82.8%
add-cube-cbrt82.7%
pow382.7%
Applied egg-rr88.6%
Taylor expanded in k around 0 77.7%
if 3.5999999999999999e-127 < k Initial program 61.1%
Simplified61.1%
associate-*l*61.1%
associate-/r*65.6%
associate-+r+65.6%
metadata-eval65.6%
associate-*l*65.6%
add-sqr-sqrt28.7%
pow228.7%
Applied egg-rr21.3%
associate-*r*21.3%
unpow-prod-down21.3%
pow221.3%
add-sqr-sqrt39.5%
Applied egg-rr39.5%
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 (<= k 1.25e-116)
(/
2.0
(pow (* (* t_m (pow (cbrt l) -2.0)) (* (cbrt k) (cbrt (* 2.0 k)))) 3.0))
(/
2.0
(*
(pow (* (/ (pow t_m 1.5) l) (hypot 1.0 (hypot 1.0 (/ k t_m)))) 2.0)
(* (sin k) (tan k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.25e-116) {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt(k) * cbrt((2.0 * k)))), 3.0);
} else {
tmp = 2.0 / (pow(((pow(t_m, 1.5) / l) * hypot(1.0, hypot(1.0, (k / t_m)))), 2.0) * (sin(k) * tan(k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.25e-116) {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt(k) * Math.cbrt((2.0 * k)))), 3.0);
} else {
tmp = 2.0 / (Math.pow(((Math.pow(t_m, 1.5) / l) * Math.hypot(1.0, Math.hypot(1.0, (k / t_m)))), 2.0) * (Math.sin(k) * Math.tan(k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1.25e-116) tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(k) * cbrt(Float64(2.0 * k)))) ^ 3.0)); else tmp = Float64(2.0 / Float64((Float64(Float64((t_m ^ 1.5) / l) * hypot(1.0, hypot(1.0, Float64(k / t_m)))) ^ 2.0) * Float64(sin(k) * tan(k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 1.25e-116], 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[k, 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[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 1.25 \cdot 10^{-116}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)\right)}^{2} \cdot \left(\sin k \cdot \tan k\right)}\\
\end{array}
\end{array}
if k < 1.2500000000000001e-116Initial program 55.4%
Simplified53.7%
Taylor expanded in k around 0 53.3%
add-cube-cbrt53.3%
pow353.3%
cbrt-prod53.3%
associate-/l/48.6%
cbrt-div48.7%
unpow348.7%
add-cbrt-cube56.3%
cbrt-unprod64.2%
unpow264.2%
div-inv64.1%
pow-flip64.2%
metadata-eval64.2%
Applied egg-rr64.2%
pow264.2%
associate-*r*64.2%
cbrt-prod79.6%
Applied egg-rr79.6%
if 1.2500000000000001e-116 < k Initial program 61.0%
Simplified61.0%
associate-*l*61.0%
associate-/r*64.6%
associate-+r+64.6%
metadata-eval64.6%
associate-*l*64.6%
add-sqr-sqrt28.6%
pow228.6%
Applied egg-rr21.1%
associate-*r*21.0%
unpow-prod-down21.0%
pow221.0%
add-sqr-sqrt39.9%
Applied egg-rr39.9%
Final simplification65.6%
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 7.8e-125)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(if (<= t_m 1.8e+202)
(/
2.0
(*
(sin k)
(*
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(pow (/ (pow t_m 1.5) l) 2.0))))
(/
2.0
(pow
(* (* t_m (pow (cbrt l) -2.0)) (* (cbrt k) (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 <= 7.8e-125) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else if (t_m <= 1.8e+202) {
tmp = 2.0 / (sin(k) * ((tan(k) * (2.0 + pow((k / t_m), 2.0))) * pow((pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt(k) * 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 <= 7.8e-125) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else if (t_m <= 1.8e+202) {
tmp = 2.0 / (Math.sin(k) * ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt(k) * 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 <= 7.8e-125) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; elseif (t_m <= 1.8e+202) tmp = Float64(2.0 / Float64(sin(k) * Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * (Float64((t_m ^ 1.5) / l) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(k) * 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, 7.8e-125], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[t$95$m, 1.8e+202], N[(2.0 / N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $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[(N[Power[k, 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.8 \cdot 10^{-125}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 1.8 \cdot 10^{+202}:\\
\;\;\;\;\frac{2}{\sin k \cdot \left(\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\end{array}
\end{array}
if t < 7.79999999999999965e-125Initial program 48.8%
Simplified49.9%
add-sqr-sqrt37.2%
sqrt-div34.7%
sqrt-div34.7%
Applied egg-rr36.9%
unpow236.9%
associate-/l*36.9%
associate-*l*33.1%
Simplified33.1%
Taylor expanded in t around 0 33.7%
associate-/l*33.8%
Simplified33.8%
if 7.79999999999999965e-125 < t < 1.80000000000000004e202Initial program 77.2%
Simplified77.3%
associate-*l*74.1%
associate-/r*74.4%
associate-+r+74.4%
metadata-eval74.4%
associate-*l*74.4%
add-sqr-sqrt51.0%
pow251.0%
Applied egg-rr61.3%
*-un-lft-identity61.3%
*-commutative61.3%
unpow-prod-down59.6%
Applied egg-rr87.3%
*-lft-identity87.3%
associate-*l*90.5%
*-commutative90.5%
Simplified90.5%
if 1.80000000000000004e202 < t Initial program 61.9%
Simplified69.9%
Taylor expanded in k around 0 69.9%
add-cube-cbrt69.9%
pow369.9%
cbrt-prod69.9%
associate-/l/57.9%
cbrt-div57.9%
unpow357.9%
add-cbrt-cube62.6%
cbrt-unprod84.1%
unpow284.1%
div-inv84.0%
pow-flip84.0%
metadata-eval84.0%
Applied egg-rr84.0%
pow284.0%
associate-*r*84.0%
cbrt-prod95.6%
Applied egg-rr95.6%
Final simplification54.5%
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 5e-84)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(if (<= t_m 6.2e+101)
(/
(* l (/ 1.0 (* (pow t_m 3.0) (* (/ (sin k) l) (/ (tan k) 2.0)))))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/
2.0
(pow
(* (* t_m (pow (cbrt l) -2.0)) (* (cbrt k) (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 <= 5e-84) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else if (t_m <= 6.2e+101) {
tmp = (l * (1.0 / (pow(t_m, 3.0) * ((sin(k) / l) * (tan(k) / 2.0))))) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * (cbrt(k) * 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 <= 5e-84) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else if (t_m <= 6.2e+101) {
tmp = (l * (1.0 / (Math.pow(t_m, 3.0) * ((Math.sin(k) / l) * (Math.tan(k) / 2.0))))) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt(k) * 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 <= 5e-84) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; elseif (t_m <= 6.2e+101) tmp = Float64(Float64(l * Float64(1.0 / Float64((t_m ^ 3.0) * Float64(Float64(sin(k) / l) * Float64(tan(k) / 2.0))))) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * Float64(cbrt(k) * 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, 5e-84], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[t$95$m, 6.2e+101], N[(N[(l * N[(1.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $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[(N[Power[k, 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5 \cdot 10^{-84}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 6.2 \cdot 10^{+101}:\\
\;\;\;\;\frac{\ell \cdot \frac{1}{{t\_m}^{3} \cdot \left(\frac{\sin k}{\ell} \cdot \frac{\tan k}{2}\right)}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\end{array}
\end{array}
if t < 5.0000000000000002e-84Initial program 49.4%
Simplified49.9%
add-sqr-sqrt37.6%
sqrt-div35.3%
sqrt-div35.3%
Applied egg-rr37.4%
unpow237.4%
associate-/l*37.4%
associate-*l*33.7%
Simplified33.7%
Taylor expanded in t around 0 35.4%
associate-/l*35.5%
Simplified35.5%
if 5.0000000000000002e-84 < t < 6.19999999999999998e101Initial program 91.2%
Simplified88.8%
associate-*r*88.9%
*-un-lft-identity88.9%
times-frac88.9%
associate-/l/88.9%
Applied egg-rr88.9%
/-rgt-identity88.9%
associate-*r/88.9%
associate-*l/88.9%
associate-*l*89.0%
Simplified89.0%
clear-num89.0%
inv-pow89.0%
Applied egg-rr89.0%
unpow-189.0%
associate-/l*89.0%
*-commutative89.0%
times-frac89.0%
Simplified89.0%
if 6.19999999999999998e101 < t Initial program 60.8%
Simplified61.2%
Taylor expanded in k around 0 61.2%
add-cube-cbrt61.2%
pow361.2%
cbrt-prod61.2%
associate-/l/54.6%
cbrt-div54.6%
unpow354.6%
add-cbrt-cube61.2%
cbrt-unprod74.5%
unpow274.5%
div-inv74.4%
pow-flip74.4%
metadata-eval74.4%
Applied egg-rr74.4%
pow274.4%
associate-*r*74.4%
cbrt-prod88.0%
Applied egg-rr88.0%
Final simplification53.1%
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 5e-84)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(if (<= t_m 5.5e+101)
(/
(* l (/ 1.0 (* (pow t_m 3.0) (* (/ (sin k) l) (/ (tan k) 2.0)))))
(+ 2.0 (pow (/ k t_m) 2.0)))
(/
2.0
(*
(pow (* (pow (cbrt l) -2.0) (* t_m (cbrt (sin k)))) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 5e-84) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else if (t_m <= 5.5e+101) {
tmp = (l * (1.0 / (pow(t_m, 3.0) * ((sin(k) / l) * (tan(k) / 2.0))))) / (2.0 + pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (pow((pow(cbrt(l), -2.0) * (t_m * cbrt(sin(k)))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 5e-84) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else if (t_m <= 5.5e+101) {
tmp = (l * (1.0 / (Math.pow(t_m, 3.0) * ((Math.sin(k) / l) * (Math.tan(k) / 2.0))))) / (2.0 + Math.pow((k / t_m), 2.0));
} else {
tmp = 2.0 / (Math.pow((Math.pow(Math.cbrt(l), -2.0) * (t_m * Math.cbrt(Math.sin(k)))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 5e-84) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; elseif (t_m <= 5.5e+101) tmp = Float64(Float64(l * Float64(1.0 / Float64((t_m ^ 3.0) * Float64(Float64(sin(k) / l) * Float64(tan(k) / 2.0))))) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); else tmp = Float64(2.0 / Float64((Float64((cbrt(l) ^ -2.0) * Float64(t_m * cbrt(sin(k)))) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 5e-84], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[t$95$m, 5.5e+101], N[(N[(l * N[(1.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $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 5 \cdot 10^{-84}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 5.5 \cdot 10^{+101}:\\
\;\;\;\;\frac{\ell \cdot \frac{1}{{t\_m}^{3} \cdot \left(\frac{\sin k}{\ell} \cdot \frac{\tan k}{2}\right)}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left({\left(\sqrt[3]{\ell}\right)}^{-2} \cdot \left(t\_m \cdot \sqrt[3]{\sin k}\right)\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 5.0000000000000002e-84Initial program 49.4%
Simplified49.9%
add-sqr-sqrt37.6%
sqrt-div35.3%
sqrt-div35.3%
Applied egg-rr37.4%
unpow237.4%
associate-/l*37.4%
associate-*l*33.7%
Simplified33.7%
Taylor expanded in t around 0 35.4%
associate-/l*35.5%
Simplified35.5%
if 5.0000000000000002e-84 < t < 5.50000000000000018e101Initial program 91.2%
Simplified88.8%
associate-*r*88.9%
*-un-lft-identity88.9%
times-frac88.9%
associate-/l/88.9%
Applied egg-rr88.9%
/-rgt-identity88.9%
associate-*r/88.9%
associate-*l/88.9%
associate-*l*89.0%
Simplified89.0%
clear-num89.0%
inv-pow89.0%
Applied egg-rr89.0%
unpow-189.0%
associate-/l*89.0%
*-commutative89.0%
times-frac89.0%
Simplified89.0%
if 5.50000000000000018e101 < t Initial program 60.8%
Simplified60.8%
add-cube-cbrt60.8%
pow360.8%
associate-/r*67.4%
*-commutative67.4%
cbrt-prod67.4%
associate-/r*60.8%
cbrt-div60.8%
rem-cbrt-cube76.4%
cbrt-prod98.6%
pow298.6%
Applied egg-rr98.6%
cube-mult98.6%
div-inv98.6%
pow-flip98.6%
metadata-eval98.6%
pow298.6%
div-inv98.6%
pow-flip98.6%
metadata-eval98.6%
Applied egg-rr98.6%
unpow298.6%
cube-unmult98.6%
associate-*r*98.7%
*-commutative98.7%
Simplified98.7%
Taylor expanded in k around 0 88.1%
Final simplification53.1%
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 1.3e-84)
(pow (* (sqrt (/ (cos k) t_m)) (* l (/ (sqrt 2.0) (* k (sin k))))) 2.0)
(if (<= t_m 6.2e+101)
(/
(* l (/ 1.0 (* (pow t_m 3.0) (* (/ (sin k) l) (/ (tan k) 2.0)))))
(+ 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 <= 1.3e-84) {
tmp = pow((sqrt((cos(k) / t_m)) * (l * (sqrt(2.0) / (k * sin(k))))), 2.0);
} else if (t_m <= 6.2e+101) {
tmp = (l * (1.0 / (pow(t_m, 3.0) * ((sin(k) / l) * (tan(k) / 2.0))))) / (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 <= 1.3e-84) {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * (l * (Math.sqrt(2.0) / (k * Math.sin(k))))), 2.0);
} else if (t_m <= 6.2e+101) {
tmp = (l * (1.0 / (Math.pow(t_m, 3.0) * ((Math.sin(k) / l) * (Math.tan(k) / 2.0))))) / (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 <= 1.3e-84) tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(l * Float64(sqrt(2.0) / Float64(k * sin(k))))) ^ 2.0; elseif (t_m <= 6.2e+101) tmp = Float64(Float64(l * Float64(1.0 / Float64((t_m ^ 3.0) * Float64(Float64(sin(k) / l) * Float64(tan(k) / 2.0))))) / 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, 1.3e-84], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[t$95$m, 6.2e+101], N[(N[(l * N[(1.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(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 1.3 \cdot 10^{-84}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t\_m}} \cdot \left(\ell \cdot \frac{\sqrt{2}}{k \cdot \sin k}\right)\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 6.2 \cdot 10^{+101}:\\
\;\;\;\;\frac{\ell \cdot \frac{1}{{t\_m}^{3} \cdot \left(\frac{\sin k}{\ell} \cdot \frac{\tan k}{2}\right)}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 1.3e-84Initial program 49.4%
Simplified49.9%
add-sqr-sqrt37.6%
sqrt-div35.3%
sqrt-div35.3%
Applied egg-rr37.4%
unpow237.4%
associate-/l*37.4%
associate-*l*33.7%
Simplified33.7%
Taylor expanded in t around 0 35.4%
associate-/l*35.5%
Simplified35.5%
if 1.3e-84 < t < 6.19999999999999998e101Initial program 91.2%
Simplified88.8%
associate-*r*88.9%
*-un-lft-identity88.9%
times-frac88.9%
associate-/l/88.9%
Applied egg-rr88.9%
/-rgt-identity88.9%
associate-*r/88.9%
associate-*l/88.9%
associate-*l*89.0%
Simplified89.0%
clear-num89.0%
inv-pow89.0%
Applied egg-rr89.0%
unpow-189.0%
associate-/l*89.0%
*-commutative89.0%
times-frac89.0%
Simplified89.0%
if 6.19999999999999998e101 < t Initial program 60.8%
Simplified60.8%
add-cube-cbrt60.8%
pow360.8%
associate-/r*67.4%
*-commutative67.4%
cbrt-prod67.4%
associate-/r*60.8%
cbrt-div60.8%
rem-cbrt-cube76.4%
cbrt-prod98.6%
pow298.6%
Applied egg-rr98.6%
Taylor expanded in k around 0 88.1%
Final simplification53.1%
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 9.5e+19)
(/
2.0
(pow (* (/ (pow t_m 1.5) l) (* k (hypot 1.0 (hypot 1.0 (/ k t_m))))) 2.0))
(/
2.0
(* (* k k) (* t_m (/ (pow (sin k) 2.0) (* (cos k) (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 (k <= 9.5e+19) {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (k * hypot(1.0, hypot(1.0, (k / t_m))))), 2.0);
} else {
tmp = 2.0 / ((k * k) * (t_m * (pow(sin(k), 2.0) / (cos(k) * pow(l, 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 <= 9.5e+19) {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (k * Math.hypot(1.0, Math.hypot(1.0, (k / t_m))))), 2.0);
} else {
tmp = 2.0 / ((k * k) * (t_m * (Math.pow(Math.sin(k), 2.0) / (Math.cos(k) * 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 k <= 9.5e+19: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (k * math.hypot(1.0, math.hypot(1.0, (k / t_m))))), 2.0) else: tmp = 2.0 / ((k * k) * (t_m * (math.pow(math.sin(k), 2.0) / (math.cos(k) * 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 (k <= 9.5e+19) tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(k * hypot(1.0, hypot(1.0, Float64(k / t_m))))) ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(k * k) * Float64(t_m * Float64((sin(k) ^ 2.0) / Float64(cos(k) * (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 (k <= 9.5e+19) tmp = 2.0 / ((((t_m ^ 1.5) / l) * (k * hypot(1.0, hypot(1.0, (k / t_m))))) ^ 2.0); else tmp = 2.0 / ((k * k) * (t_m * ((sin(k) ^ 2.0) / (cos(k) * (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[k, 9.5e+19], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(k * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k * k), $MachinePrecision] * N[(t$95$m * N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[(N[Cos[k], $MachinePrecision] * N[Power[l, 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}\;k \leq 9.5 \cdot 10^{+19}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(k \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)\right)\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot \left(t\_m \cdot \frac{{\sin k}^{2}}{\cos k \cdot {\ell}^{2}}\right)}\\
\end{array}
\end{array}
if k < 9.5e19Initial program 56.1%
Simplified56.1%
associate-*l*50.7%
associate-/r*54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*l*54.8%
add-sqr-sqrt32.9%
pow232.9%
Applied egg-rr33.0%
Taylor expanded in k around 0 38.9%
if 9.5e19 < k Initial program 61.1%
Simplified61.2%
add-cube-cbrt61.1%
pow361.1%
associate-/r*65.8%
*-commutative65.8%
cbrt-prod65.8%
associate-/r*61.1%
cbrt-div60.9%
rem-cbrt-cube69.2%
cbrt-prod71.8%
pow271.8%
Applied egg-rr71.8%
Taylor expanded in k around inf 79.4%
associate-/l*79.3%
associate-/l*79.4%
Simplified79.4%
unpow279.4%
Applied egg-rr79.4%
Final simplification48.7%
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 3e-56)
(/ 2.0 (pow (* (/ (* k (sin k)) l) (sqrt (/ t_m (cos k)))) 2.0))
(/ 2.0 (pow (* (/ (pow t_m 1.5) l) (* (sqrt 2.0) k)) 2.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3e-56) {
tmp = 2.0 / pow((((k * sin(k)) / l) * sqrt((t_m / cos(k)))), 2.0);
} else {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 3d-56) then
tmp = 2.0d0 / ((((k * sin(k)) / l) * sqrt((t_m / cos(k)))) ** 2.0d0)
else
tmp = 2.0d0 / ((((t_m ** 1.5d0) / l) * (sqrt(2.0d0) * k)) ** 2.0d0)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3e-56) {
tmp = 2.0 / Math.pow((((k * Math.sin(k)) / l) * Math.sqrt((t_m / Math.cos(k)))), 2.0);
} else {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (Math.sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 3e-56: tmp = 2.0 / math.pow((((k * math.sin(k)) / l) * math.sqrt((t_m / math.cos(k)))), 2.0) else: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (math.sqrt(2.0) * k)), 2.0) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3e-56) tmp = Float64(2.0 / (Float64(Float64(Float64(k * sin(k)) / l) * sqrt(Float64(t_m / cos(k)))) ^ 2.0)); else tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(sqrt(2.0) * k)) ^ 2.0)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 3e-56) tmp = 2.0 / ((((k * sin(k)) / l) * sqrt((t_m / cos(k)))) ^ 2.0); else tmp = 2.0 / ((((t_m ^ 1.5) / l) * (sqrt(2.0) * k)) ^ 2.0); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3e-56], N[(2.0 / N[Power[N[(N[(N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[(t$95$m / N[Cos[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], 2.0], $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 3 \cdot 10^{-56}:\\
\;\;\;\;\frac{2}{{\left(\frac{k \cdot \sin k}{\ell} \cdot \sqrt{\frac{t\_m}{\cos k}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\sqrt{2} \cdot k\right)\right)}^{2}}\\
\end{array}
\end{array}
if t < 2.99999999999999989e-56Initial program 50.8%
Simplified50.8%
associate-*l*46.7%
associate-/r*51.0%
associate-+r+51.0%
metadata-eval51.0%
associate-*l*51.0%
add-sqr-sqrt23.7%
pow223.7%
Applied egg-rr17.0%
Taylor expanded in t around 0 36.2%
if 2.99999999999999989e-56 < t Initial program 72.2%
Simplified72.2%
associate-*l*68.2%
associate-/r*72.4%
associate-+r+72.4%
metadata-eval72.4%
associate-*l*72.4%
add-sqr-sqrt47.9%
pow247.9%
Applied egg-rr54.9%
Taylor expanded in k around 0 81.3%
Final simplification50.0%
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-56)
(/ 2.0 (pow (* (sqrt (/ t_m (cos k))) (* k (/ (sin k) l))) 2.0))
(/ 2.0 (pow (* (/ (pow t_m 1.5) l) (* (sqrt 2.0) k)) 2.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e-56) {
tmp = 2.0 / pow((sqrt((t_m / cos(k))) * (k * (sin(k) / l))), 2.0);
} else {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.9d-56) then
tmp = 2.0d0 / ((sqrt((t_m / cos(k))) * (k * (sin(k) / l))) ** 2.0d0)
else
tmp = 2.0d0 / ((((t_m ** 1.5d0) / l) * (sqrt(2.0d0) * k)) ** 2.0d0)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.9e-56) {
tmp = 2.0 / Math.pow((Math.sqrt((t_m / Math.cos(k))) * (k * (Math.sin(k) / l))), 2.0);
} else {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (Math.sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.9e-56: tmp = 2.0 / math.pow((math.sqrt((t_m / math.cos(k))) * (k * (math.sin(k) / l))), 2.0) else: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (math.sqrt(2.0) * k)), 2.0) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.9e-56) tmp = Float64(2.0 / (Float64(sqrt(Float64(t_m / cos(k))) * Float64(k * Float64(sin(k) / l))) ^ 2.0)); else tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(sqrt(2.0) * k)) ^ 2.0)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.9e-56) tmp = 2.0 / ((sqrt((t_m / cos(k))) * (k * (sin(k) / l))) ^ 2.0); else tmp = 2.0 / ((((t_m ^ 1.5) / l) * (sqrt(2.0) * k)) ^ 2.0); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.9e-56], N[(2.0 / N[Power[N[(N[Sqrt[N[(t$95$m / N[Cos[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(k * N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], 2.0], $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^{-56}:\\
\;\;\;\;\frac{2}{{\left(\sqrt{\frac{t\_m}{\cos k}} \cdot \left(k \cdot \frac{\sin k}{\ell}\right)\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\sqrt{2} \cdot k\right)\right)}^{2}}\\
\end{array}
\end{array}
if t < 2.89999999999999991e-56Initial program 50.8%
Simplified50.8%
associate-*l*46.7%
associate-/r*51.0%
associate-+r+51.0%
metadata-eval51.0%
associate-*l*51.0%
add-sqr-sqrt23.7%
pow223.7%
Applied egg-rr17.0%
Taylor expanded in t around 0 36.2%
associate-/l*36.2%
Simplified36.2%
if 2.89999999999999991e-56 < t Initial program 72.2%
Simplified72.2%
associate-*l*68.2%
associate-/r*72.4%
associate-+r+72.4%
metadata-eval72.4%
associate-*l*72.4%
add-sqr-sqrt47.9%
pow247.9%
Applied egg-rr54.9%
Taylor expanded in k around 0 81.3%
Final simplification50.0%
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 5.2e+43)
(/ 2.0 (pow (* (/ (pow t_m 1.5) l) (* (sqrt 2.0) k)) 2.0))
(/ (* 2.0 (pow l 2.0)) (* (pow k 3.0) (* t_m (sin 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 <= 5.2e+43) {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (sqrt(2.0) * k)), 2.0);
} else {
tmp = (2.0 * pow(l, 2.0)) / (pow(k, 3.0) * (t_m * sin(k)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 5.2d+43) then
tmp = 2.0d0 / ((((t_m ** 1.5d0) / l) * (sqrt(2.0d0) * k)) ** 2.0d0)
else
tmp = (2.0d0 * (l ** 2.0d0)) / ((k ** 3.0d0) * (t_m * sin(k)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.2e+43) {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (Math.sqrt(2.0) * k)), 2.0);
} else {
tmp = (2.0 * Math.pow(l, 2.0)) / (Math.pow(k, 3.0) * (t_m * Math.sin(k)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 5.2e+43: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (math.sqrt(2.0) * k)), 2.0) else: tmp = (2.0 * math.pow(l, 2.0)) / (math.pow(k, 3.0) * (t_m * math.sin(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 <= 5.2e+43) tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(sqrt(2.0) * k)) ^ 2.0)); else tmp = Float64(Float64(2.0 * (l ^ 2.0)) / Float64((k ^ 3.0) * Float64(t_m * sin(k)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 5.2e+43) tmp = 2.0 / ((((t_m ^ 1.5) / l) * (sqrt(2.0) * k)) ^ 2.0); else tmp = (2.0 * (l ^ 2.0)) / ((k ^ 3.0) * (t_m * sin(k))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.2e+43], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 3.0], $MachinePrecision] * N[(t$95$m * N[Sin[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 5.2 \cdot 10^{+43}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\sqrt{2} \cdot k\right)\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{{k}^{3} \cdot \left(t\_m \cdot \sin k\right)}\\
\end{array}
\end{array}
if k < 5.20000000000000042e43Initial program 56.5%
Simplified56.5%
associate-*l*51.2%
associate-/r*55.2%
associate-+r+55.2%
metadata-eval55.2%
associate-*l*55.2%
add-sqr-sqrt32.7%
pow232.7%
Applied egg-rr32.8%
Taylor expanded in k around 0 36.7%
if 5.20000000000000042e43 < k Initial program 60.2%
Simplified60.2%
Taylor expanded in k around 0 57.0%
Taylor expanded in k around inf 71.1%
associate-*r/71.1%
Simplified71.1%
Final simplification44.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.8e-220)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(/ 2.0 (pow (* (/ (pow t_m 1.5) l) (* (sqrt 2.0) k)) 2.0)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.8d-220) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else
tmp = 2.0d0 / ((((t_m ** 1.5d0) / l) * (sqrt(2.0d0) * k)) ** 2.0d0)
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (Math.sqrt(2.0) * k)), 2.0);
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.8e-220: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) else: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (math.sqrt(2.0) * k)), 2.0) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.8e-220) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(sqrt(2.0) * k)) ^ 2.0)); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.8e-220) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); else tmp = 2.0 / ((((t_m ^ 1.5) / l) * (sqrt(2.0) * k)) ^ 2.0); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.8e-220], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] * k), $MachinePrecision]), $MachinePrecision], 2.0], $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 2.8 \cdot 10^{-220}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(\sqrt{2} \cdot k\right)\right)}^{2}}\\
\end{array}
\end{array}
if t < 2.7999999999999999e-220Initial program 49.7%
Simplified49.7%
add-cube-cbrt49.6%
pow349.6%
associate-/r*54.7%
*-commutative54.7%
cbrt-prod54.7%
associate-/r*49.6%
cbrt-div50.8%
rem-cbrt-cube60.7%
cbrt-prod75.3%
pow275.3%
Applied egg-rr75.3%
Taylor expanded in k around inf 57.0%
associate-/l*58.0%
associate-/l*58.2%
Simplified58.2%
Taylor expanded in k around 0 50.7%
associate-/l*50.8%
Simplified50.8%
if 2.7999999999999999e-220 < t Initial program 67.6%
Simplified67.6%
associate-*l*64.7%
associate-/r*68.8%
associate-+r+68.8%
metadata-eval68.8%
associate-*l*68.8%
add-sqr-sqrt48.6%
pow248.6%
Applied egg-rr59.9%
Taylor expanded in k around 0 77.0%
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 (<= t_m 2.8e-220)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(if (<= t_m 1.2e+177)
(/ 2.0 (* (* (pow t_m 1.5) (/ (pow t_m 1.5) l)) (/ (* 2.0 (* k k)) l)))
(/ 2.0 (* (* 2.0 k) (* (sin k) (/ (pow t_m 3.0) (* l l)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else if (t_m <= 1.2e+177) {
tmp = 2.0 / ((pow(t_m, 1.5) * (pow(t_m, 1.5) / l)) * ((2.0 * (k * k)) / l));
} else {
tmp = 2.0 / ((2.0 * k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.8d-220) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else if (t_m <= 1.2d+177) then
tmp = 2.0d0 / (((t_m ** 1.5d0) * ((t_m ** 1.5d0) / l)) * ((2.0d0 * (k * k)) / l))
else
tmp = 2.0d0 / ((2.0d0 * k) * (sin(k) * ((t_m ** 3.0d0) / (l * l))))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else if (t_m <= 1.2e+177) {
tmp = 2.0 / ((Math.pow(t_m, 1.5) * (Math.pow(t_m, 1.5) / l)) * ((2.0 * (k * k)) / l));
} else {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.8e-220: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) elif t_m <= 1.2e+177: tmp = 2.0 / ((math.pow(t_m, 1.5) * (math.pow(t_m, 1.5) / l)) * ((2.0 * (k * k)) / l)) else: tmp = 2.0 / ((2.0 * k) * (math.sin(k) * (math.pow(t_m, 3.0) / (l * l)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.8e-220) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); elseif (t_m <= 1.2e+177) tmp = Float64(2.0 / Float64(Float64((t_m ^ 1.5) * Float64((t_m ^ 1.5) / l)) * Float64(Float64(2.0 * Float64(k * k)) / l))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.8e-220) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); elseif (t_m <= 1.2e+177) tmp = 2.0 / (((t_m ^ 1.5) * ((t_m ^ 1.5) / l)) * ((2.0 * (k * k)) / l)); else tmp = 2.0 / ((2.0 * k) * (sin(k) * ((t_m ^ 3.0) / (l * l)))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.8e-220], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.2e+177], N[(2.0 / N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-220}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{elif}\;t\_m \leq 1.2 \cdot 10^{+177}:\\
\;\;\;\;\frac{2}{\left({t\_m}^{1.5} \cdot \frac{{t\_m}^{1.5}}{\ell}\right) \cdot \frac{2 \cdot \left(k \cdot k\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 2.7999999999999999e-220Initial program 49.7%
Simplified49.7%
add-cube-cbrt49.6%
pow349.6%
associate-/r*54.7%
*-commutative54.7%
cbrt-prod54.7%
associate-/r*49.6%
cbrt-div50.8%
rem-cbrt-cube60.7%
cbrt-prod75.3%
pow275.3%
Applied egg-rr75.3%
Taylor expanded in k around inf 57.0%
associate-/l*58.0%
associate-/l*58.2%
Simplified58.2%
Taylor expanded in k around 0 50.7%
associate-/l*50.8%
Simplified50.8%
if 2.7999999999999999e-220 < t < 1.2e177Initial program 71.6%
Simplified71.9%
Taylor expanded in k around 0 68.3%
associate-*l/67.7%
Applied egg-rr67.7%
associate-/l*69.5%
Simplified69.5%
unpow269.9%
Applied egg-rr69.5%
sqr-pow69.6%
*-un-lft-identity69.6%
times-frac72.1%
metadata-eval72.1%
metadata-eval72.1%
Applied egg-rr72.1%
if 1.2e177 < t Initial program 58.1%
Simplified58.1%
Taylor expanded in k around 0 58.1%
Final simplification58.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.8e-220)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(if (<= t_m 3e+176)
(/ 2.0 (* (/ (* 2.0 (* k k)) l) (pow (/ t_m (cbrt l)) 3.0)))
(/ 2.0 (* (* 2.0 k) (* (sin k) (/ (pow t_m 3.0) (* l l)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else if (t_m <= 3e+176) {
tmp = 2.0 / (((2.0 * (k * k)) / l) * pow((t_m / cbrt(l)), 3.0));
} else {
tmp = 2.0 / ((2.0 * k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else if (t_m <= 3e+176) {
tmp = 2.0 / (((2.0 * (k * k)) / l) * Math.pow((t_m / Math.cbrt(l)), 3.0));
} else {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.8e-220) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); elseif (t_m <= 3e+176) tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * Float64(k * k)) / l) * (Float64(t_m / cbrt(l)) ^ 3.0))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
t\_m = 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-220], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3e+176], N[(2.0 / N[(N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Power[N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-220}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{elif}\;t\_m \leq 3 \cdot 10^{+176}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot {\left(\frac{t\_m}{\sqrt[3]{\ell}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 2.7999999999999999e-220Initial program 49.7%
Simplified49.7%
add-cube-cbrt49.6%
pow349.6%
associate-/r*54.7%
*-commutative54.7%
cbrt-prod54.7%
associate-/r*49.6%
cbrt-div50.8%
rem-cbrt-cube60.7%
cbrt-prod75.3%
pow275.3%
Applied egg-rr75.3%
Taylor expanded in k around inf 57.0%
associate-/l*58.0%
associate-/l*58.2%
Simplified58.2%
Taylor expanded in k around 0 50.7%
associate-/l*50.8%
Simplified50.8%
if 2.7999999999999999e-220 < t < 3e176Initial program 71.6%
Simplified71.9%
Taylor expanded in k around 0 68.3%
associate-*l/67.7%
Applied egg-rr67.7%
associate-/l*69.5%
Simplified69.5%
unpow269.9%
Applied egg-rr69.5%
add-cube-cbrt69.6%
pow369.6%
cbrt-div69.5%
rem-cbrt-cube72.0%
Applied egg-rr72.0%
if 3e176 < t Initial program 58.1%
Simplified58.1%
Taylor expanded in k around 0 58.1%
Final simplification58.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.8e-220)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(if (<= t_m 6.2e+159)
(/ 2.0 (* (/ (* 2.0 (* k k)) l) (* (pow t_m 2.0) (/ t_m l))))
(/ 2.0 (* (* 2.0 k) (* (sin k) (/ (pow t_m 3.0) (* l l)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else if (t_m <= 6.2e+159) {
tmp = 2.0 / (((2.0 * (k * k)) / l) * (pow(t_m, 2.0) * (t_m / l)));
} else {
tmp = 2.0 / ((2.0 * k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 2.8d-220) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else if (t_m <= 6.2d+159) then
tmp = 2.0d0 / (((2.0d0 * (k * k)) / l) * ((t_m ** 2.0d0) * (t_m / l)))
else
tmp = 2.0d0 / ((2.0d0 * k) * (sin(k) * ((t_m ** 3.0d0) / (l * l))))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.8e-220) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else if (t_m <= 6.2e+159) {
tmp = 2.0 / (((2.0 * (k * k)) / l) * (Math.pow(t_m, 2.0) * (t_m / l)));
} else {
tmp = 2.0 / ((2.0 * k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 2.8e-220: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) elif t_m <= 6.2e+159: tmp = 2.0 / (((2.0 * (k * k)) / l) * (math.pow(t_m, 2.0) * (t_m / l))) else: tmp = 2.0 / ((2.0 * k) * (math.sin(k) * (math.pow(t_m, 3.0) / (l * l)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.8e-220) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); elseif (t_m <= 6.2e+159) tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * Float64(k * k)) / l) * Float64((t_m ^ 2.0) * Float64(t_m / l)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.8e-220) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); elseif (t_m <= 6.2e+159) tmp = 2.0 / (((2.0 * (k * k)) / l) * ((t_m ^ 2.0) * (t_m / l))); else tmp = 2.0 / ((2.0 * k) * (sin(k) * ((t_m ^ 3.0) / (l * l)))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.8e-220], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.2e+159], N[(2.0 / N[(N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-220}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{elif}\;t\_m \leq 6.2 \cdot 10^{+159}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot \left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 2.7999999999999999e-220Initial program 49.7%
Simplified49.7%
add-cube-cbrt49.6%
pow349.6%
associate-/r*54.7%
*-commutative54.7%
cbrt-prod54.7%
associate-/r*49.6%
cbrt-div50.8%
rem-cbrt-cube60.7%
cbrt-prod75.3%
pow275.3%
Applied egg-rr75.3%
Taylor expanded in k around inf 57.0%
associate-/l*58.0%
associate-/l*58.2%
Simplified58.2%
Taylor expanded in k around 0 50.7%
associate-/l*50.8%
Simplified50.8%
if 2.7999999999999999e-220 < t < 6.1999999999999996e159Initial program 70.1%
Simplified70.3%
Taylor expanded in k around 0 66.5%
associate-*l/65.9%
Applied egg-rr65.9%
associate-/l*67.9%
Simplified67.9%
unpow268.2%
Applied egg-rr67.9%
unpow367.9%
*-un-lft-identity67.9%
times-frac70.6%
pow270.6%
Applied egg-rr70.6%
if 6.1999999999999996e159 < t Initial program 62.6%
Simplified62.6%
Taylor expanded in k around 0 62.6%
Final simplification58.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1e-68)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(/
(* (/ (/ 2.0 k) (* k (pow t_m 3.0))) (* l l))
(+ 2.0 (pow (/ k t_m) 2.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1e-68) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else {
tmp = (((2.0 / k) / (k * pow(t_m, 3.0))) * (l * l)) / (2.0 + pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 1d-68) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else
tmp = (((2.0d0 / k) / (k * (t_m ** 3.0d0))) * (l * l)) / (2.0d0 + ((k / t_m) ** 2.0d0))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1e-68) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else {
tmp = (((2.0 / k) / (k * Math.pow(t_m, 3.0))) * (l * l)) / (2.0 + Math.pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 1e-68: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) else: tmp = (((2.0 / k) / (k * math.pow(t_m, 3.0))) * (l * l)) / (2.0 + math.pow((k / t_m), 2.0)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1e-68) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); else tmp = Float64(Float64(Float64(Float64(2.0 / k) / Float64(k * (t_m ^ 3.0))) * Float64(l * l)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 1e-68) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); else tmp = (((2.0 / k) / (k * (t_m ^ 3.0))) * (l * l)) / (2.0 + ((k / t_m) ^ 2.0)); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1e-68], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(2.0 / k), $MachinePrecision] / N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 10^{-68}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\frac{2}{k}}{k \cdot {t\_m}^{3}} \cdot \left(\ell \cdot \ell\right)}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
if t < 1.00000000000000007e-68Initial program 50.0%
Simplified50.0%
add-cube-cbrt49.9%
pow349.9%
associate-/r*54.9%
*-commutative54.9%
cbrt-prod54.9%
associate-/r*49.9%
cbrt-div51.0%
rem-cbrt-cube60.0%
cbrt-prod73.4%
pow273.4%
Applied egg-rr73.4%
Taylor expanded in k around inf 60.7%
associate-/l*62.0%
associate-/l*61.9%
Simplified61.9%
Taylor expanded in k around 0 51.7%
associate-/l*52.9%
Simplified52.9%
if 1.00000000000000007e-68 < t Initial program 72.7%
Simplified71.7%
Taylor expanded in k around 0 68.2%
Taylor expanded in k around 0 68.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.8e-220)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(/ 2.0 (* (/ (* 2.0 (* k k)) l) (* (pow t_m 2.0) (/ 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 <= 2.8e-220) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else {
tmp = 2.0 / (((2.0 * (k * k)) / l) * (pow(t_m, 2.0) * (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 <= 2.8d-220) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else
tmp = 2.0d0 / (((2.0d0 * (k * k)) / l) * ((t_m ** 2.0d0) * (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 <= 2.8e-220) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else {
tmp = 2.0 / (((2.0 * (k * k)) / l) * (Math.pow(t_m, 2.0) * (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 <= 2.8e-220: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) else: tmp = 2.0 / (((2.0 * (k * k)) / l) * (math.pow(t_m, 2.0) * (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 <= 2.8e-220) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); else tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * Float64(k * k)) / l) * Float64((t_m ^ 2.0) * Float64(t_m / l)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 2.8e-220) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); else tmp = 2.0 / (((2.0 * (k * k)) / l) * ((t_m ^ 2.0) * (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, 2.8e-220], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.8 \cdot 10^{-220}:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot \left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right)}\\
\end{array}
\end{array}
if t < 2.7999999999999999e-220Initial program 49.7%
Simplified49.7%
add-cube-cbrt49.6%
pow349.6%
associate-/r*54.7%
*-commutative54.7%
cbrt-prod54.7%
associate-/r*49.6%
cbrt-div50.8%
rem-cbrt-cube60.7%
cbrt-prod75.3%
pow275.3%
Applied egg-rr75.3%
Taylor expanded in k around inf 57.0%
associate-/l*58.0%
associate-/l*58.2%
Simplified58.2%
Taylor expanded in k around 0 50.7%
associate-/l*50.8%
Simplified50.8%
if 2.7999999999999999e-220 < t Initial program 67.6%
Simplified68.8%
Taylor expanded in k around 0 66.3%
associate-*l/65.8%
Applied egg-rr65.8%
associate-/l*67.0%
Simplified67.0%
unpow262.2%
Applied egg-rr67.0%
unpow367.0%
*-un-lft-identity67.0%
times-frac68.8%
pow268.8%
Applied egg-rr68.8%
Final simplification58.6%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (/ (* 2.0 (* k k)) l) (* (pow t_m 2.0) (/ 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)) / l) * (pow(t_m, 2.0) * (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)) / l) * ((t_m ** 2.0d0) * (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)) / l) * (Math.pow(t_m, 2.0) * (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)) / l) * (math.pow(t_m, 2.0) * (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(Float64(2.0 * Float64(k * k)) / l) * Float64((t_m ^ 2.0) * 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)) / l) * ((t_m ^ 2.0) * (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[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 2.0], $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}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot \left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right)}
\end{array}
Initial program 57.4%
Simplified57.5%
Taylor expanded in k around 0 56.6%
associate-*l/56.8%
Applied egg-rr56.8%
associate-/l*57.3%
Simplified57.3%
unpow259.9%
Applied egg-rr57.3%
unpow357.3%
*-un-lft-identity57.3%
times-frac58.8%
pow258.8%
Applied egg-rr58.8%
Final simplification58.8%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (/ (* 2.0 (* k k)) l) (* t_m (/ (pow t_m 2.0) l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((2.0 * (k * k)) / l) * (t_m * (pow(t_m, 2.0) / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / (((2.0d0 * (k * k)) / l) * (t_m * ((t_m ** 2.0d0) / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((2.0 * (k * k)) / l) * (t_m * (Math.pow(t_m, 2.0) / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / (((2.0 * (k * k)) / l) * (t_m * (math.pow(t_m, 2.0) / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(Float64(2.0 * Float64(k * k)) / l) * Float64(t_m * Float64((t_m ^ 2.0) / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / (((2.0 * (k * k)) / l) * (t_m * ((t_m ^ 2.0) / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m * N[(N[Power[t$95$m, 2.0], $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}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot \left(t\_m \cdot \frac{{t\_m}^{2}}{\ell}\right)}
\end{array}
Initial program 57.4%
Simplified57.5%
Taylor expanded in k around 0 56.6%
associate-*l/56.8%
Applied egg-rr56.8%
associate-/l*57.3%
Simplified57.3%
unpow259.9%
Applied egg-rr57.3%
cube-mult57.3%
*-un-lft-identity57.3%
times-frac58.8%
pow258.8%
Applied egg-rr58.8%
Final simplification58.8%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (/ (* 2.0 (* k k)) l) (/ (pow t_m 3.0) l)))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((2.0 * (k * k)) / l) * (pow(t_m, 3.0) / l)));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / (((2.0d0 * (k * k)) / l) * ((t_m ** 3.0d0) / l)))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((2.0 * (k * k)) / l) * (Math.pow(t_m, 3.0) / l)));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / (((2.0 * (k * k)) / l) * (math.pow(t_m, 3.0) / l)))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(Float64(2.0 * Float64(k * k)) / l) * Float64((t_m ^ 3.0) / l)))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / (((2.0 * (k * k)) / l) * ((t_m ^ 3.0) / l))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{2 \cdot \left(k \cdot k\right)}{\ell} \cdot \frac{{t\_m}^{3}}{\ell}}
\end{array}
Initial program 57.4%
Simplified57.5%
Taylor expanded in k around 0 56.6%
associate-*l/56.8%
Applied egg-rr56.8%
associate-/l*57.3%
Simplified57.3%
unpow259.9%
Applied egg-rr57.3%
Final simplification57.3%
herbie shell --seed 2024160
(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))))