
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 21 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.7e-36)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(/
2.0
(*
(pow (/ (* t_m (cbrt (sin k))) (pow (cbrt l) 2.0)) 3.0)
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-36) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else {
tmp = 2.0 / (pow(((t_m * cbrt(sin(k))) / pow(cbrt(l), 2.0)), 3.0) * (tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.7e-36) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else {
tmp = 2.0 / (Math.pow(((t_m * Math.cbrt(Math.sin(k))) / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.7e-36) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m * cbrt(sin(k))) / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.7e-36], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.7 \cdot 10^{-36}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m \cdot \sqrt[3]{\sin k}}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 1.7000000000000001e-36Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 1.7000000000000001e-36 < t Initial program 67.7%
Simplified67.7%
add-cube-cbrt67.5%
pow367.5%
*-commutative67.5%
cbrt-prod67.5%
cbrt-div68.7%
rem-cbrt-cube73.1%
cbrt-prod92.6%
pow292.6%
Applied egg-rr92.6%
*-commutative92.6%
Simplified92.6%
associate-*l/92.7%
Applied egg-rr92.7%
Final simplification51.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.8e-34)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(/
2.0
(*
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))
(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-34) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))) * 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-34) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))) * 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-34) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))) * (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-34], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 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^{-34}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\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 < 1.80000000000000004e-34Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 1.80000000000000004e-34 < t Initial program 67.7%
Simplified67.7%
add-cube-cbrt67.5%
pow367.5%
*-commutative67.5%
cbrt-prod67.5%
cbrt-div68.7%
rem-cbrt-cube73.1%
cbrt-prod92.6%
pow292.6%
Applied egg-rr92.6%
*-commutative92.6%
Simplified92.6%
Final simplification51.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.3e-35)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(/
2.0
(*
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))
(* (sin k) (pow (/ t_m (pow (cbrt l) 2.0)) 3.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.3e-35) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))) * (sin(k) * pow((t_m / pow(cbrt(l), 2.0)), 3.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.3e-35) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))) * (Math.sin(k) * Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.3e-35) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))) * Float64(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, 3.3e-35], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $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 3.3 \cdot 10^{-35}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot \left(\sin k \cdot {\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 3.3e-35Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 3.3e-35 < t Initial program 67.7%
Simplified67.7%
add-cube-cbrt67.5%
pow367.5%
cbrt-div67.6%
rem-cbrt-cube72.0%
cbrt-prod87.8%
pow287.8%
Applied egg-rr87.8%
Final simplification50.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 7e-36)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(if (<= t_m 1.7e+130)
(/
2.0
(/
(*
(* t_m (/ (pow t_m 2.0) l))
(* (+ 2.0 (pow (/ k t_m) 2.0)) (* (sin k) (tan k))))
l))
(/
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 <= 7e-36) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else if (t_m <= 1.7e+130) {
tmp = 2.0 / (((t_m * (pow(t_m, 2.0) / l)) * ((2.0 + pow((k / t_m), 2.0)) * (sin(k) * tan(k)))) / l);
} 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 <= 7e-36) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else if (t_m <= 1.7e+130) {
tmp = 2.0 / (((t_m * (Math.pow(t_m, 2.0) / l)) * ((2.0 + Math.pow((k / t_m), 2.0)) * (Math.sin(k) * Math.tan(k)))) / l);
} 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 <= 7e-36) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); elseif (t_m <= 1.7e+130) tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64((t_m ^ 2.0) / l)) * Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * Float64(sin(k) * tan(k)))) / l)); 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, 7e-36], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.7e+130], N[(2.0 / N[(N[(N[(t$95$m * N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 7 \cdot 10^{-36}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{elif}\;t\_m \leq 1.7 \cdot 10^{+130}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \frac{{t\_m}^{2}}{\ell}\right) \cdot \left(\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot \left(\sin k \cdot \tan k\right)\right)}{\ell}}\\
\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 < 6.9999999999999999e-36Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 6.9999999999999999e-36 < t < 1.7e130Initial program 74.2%
Simplified74.2%
associate-*l*71.7%
associate-/r*74.1%
associate-+r+74.1%
metadata-eval74.1%
associate-*l*74.1%
associate-*l/79.2%
Applied egg-rr79.2%
cube-mult79.2%
*-un-lft-identity79.2%
times-frac89.2%
pow289.2%
Applied egg-rr89.2%
if 1.7e130 < t Initial program 61.2%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
*-commutative61.2%
cbrt-prod61.2%
cbrt-div61.2%
rem-cbrt-cube67.1%
cbrt-prod91.9%
pow291.9%
Applied egg-rr91.9%
*-commutative91.9%
Simplified91.9%
Taylor expanded in k around 0 82.4%
Final simplification49.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.3e-36)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(if (<= t_m 1.55e+132)
(/
2.0
(/
(*
(* t_m (/ (pow t_m 2.0) l))
(* (+ 2.0 (pow (/ k t_m) 2.0)) (* (sin k) (tan k))))
l))
(/
2.0
(*
(pow (/ (* t_m (cbrt (sin k))) (pow (cbrt l) 2.0)) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.3e-36) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else if (t_m <= 1.55e+132) {
tmp = 2.0 / (((t_m * (pow(t_m, 2.0) / l)) * ((2.0 + pow((k / t_m), 2.0)) * (sin(k) * tan(k)))) / l);
} else {
tmp = 2.0 / (pow(((t_m * cbrt(sin(k))) / pow(cbrt(l), 2.0)), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.3e-36) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else if (t_m <= 1.55e+132) {
tmp = 2.0 / (((t_m * (Math.pow(t_m, 2.0) / l)) * ((2.0 + Math.pow((k / t_m), 2.0)) * (Math.sin(k) * Math.tan(k)))) / l);
} else {
tmp = 2.0 / (Math.pow(((t_m * Math.cbrt(Math.sin(k))) / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.3e-36) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); elseif (t_m <= 1.55e+132) tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64((t_m ^ 2.0) / l)) * Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * Float64(sin(k) * tan(k)))) / l)); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m * cbrt(sin(k))) / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.3e-36], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.55e+132], N[(2.0 / N[(N[(N[(t$95$m * N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.3 \cdot 10^{-36}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{elif}\;t\_m \leq 1.55 \cdot 10^{+132}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \frac{{t\_m}^{2}}{\ell}\right) \cdot \left(\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot \left(\sin k \cdot \tan k\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m \cdot \sqrt[3]{\sin k}}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.29999999999999996e-36Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 2.29999999999999996e-36 < t < 1.5499999999999999e132Initial program 74.2%
Simplified74.2%
associate-*l*71.7%
associate-/r*74.1%
associate-+r+74.1%
metadata-eval74.1%
associate-*l*74.1%
associate-*l/79.2%
Applied egg-rr79.2%
cube-mult79.2%
*-un-lft-identity79.2%
times-frac89.2%
pow289.2%
Applied egg-rr89.2%
if 1.5499999999999999e132 < t Initial program 61.2%
Simplified61.2%
add-cube-cbrt61.2%
pow361.2%
*-commutative61.2%
cbrt-prod61.2%
cbrt-div61.2%
rem-cbrt-cube67.1%
cbrt-prod91.9%
pow291.9%
Applied egg-rr91.9%
*-commutative91.9%
Simplified91.9%
associate-*l/92.0%
Applied egg-rr92.0%
Taylor expanded in k around 0 82.5%
Final simplification49.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.45e-34)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(/
2.0
(*
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(* (sin k) (pow (/ (pow t_m 1.5) l) 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.45e-34) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else {
tmp = 2.0 / ((tan(k) * (2.0 + pow((k / t_m), 2.0))) * (sin(k) * pow((pow(t_m, 1.5) / l), 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 1.45d-34) then
tmp = 2.0d0 / ((1.0d0 / l) * (((sqrt(t_m) * (k * sin(k))) ** 2.0d0) / (l * cos(k))))
else
tmp = 2.0d0 / ((tan(k) * (2.0d0 + ((k / t_m) ** 2.0d0))) * (sin(k) * (((t_m ** 1.5d0) / l) ** 2.0d0)))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.45e-34) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * (Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 1.45e-34: tmp = 2.0 / ((1.0 / l) * (math.pow((math.sqrt(t_m) * (k * math.sin(k))), 2.0) / (l * math.cos(k)))) else: tmp = 2.0 / ((math.tan(k) * (2.0 + math.pow((k / t_m), 2.0))) * (math.sin(k) * math.pow((math.pow(t_m, 1.5) / l), 2.0))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.45e-34) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 1.45e-34) tmp = 2.0 / ((1.0 / l) * (((sqrt(t_m) * (k * sin(k))) ^ 2.0) / (l * cos(k)))); else tmp = 2.0 / ((tan(k) * (2.0 + ((k / t_m) ^ 2.0))) * (sin(k) * (((t_m ^ 1.5) / l) ^ 2.0))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.45e-34], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.45 \cdot 10^{-34}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right)}\\
\end{array}
\end{array}
if t < 1.4500000000000001e-34Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 1.4500000000000001e-34 < t Initial program 67.7%
Simplified67.7%
add-sqr-sqrt38.4%
pow238.4%
*-commutative38.4%
sqrt-prod38.4%
sqrt-div39.7%
sqrt-pow142.5%
metadata-eval42.5%
sqrt-prod27.4%
add-sqr-sqrt51.1%
Applied egg-rr51.1%
*-commutative51.1%
Simplified51.1%
pow151.1%
*-commutative51.1%
associate-+r+51.1%
metadata-eval51.1%
*-commutative51.1%
unpow-prod-down48.7%
pow248.7%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
unpow187.0%
Simplified87.0%
Final simplification50.1%
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 5.5e-37)
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k)))))
(/
2.0
(*
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))
(* (sin k) (* (/ (pow t_m 2.0) l) (/ t_m l))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 5.5e-37) {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(k))));
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))) * (sin(k) * ((pow(t_m, 2.0) / l) * (t_m / l))));
}
return t_s * tmp;
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 5.5d-37) then
tmp = 2.0d0 / ((1.0d0 / l) * (((sqrt(t_m) * (k * sin(k))) ** 2.0d0) / (l * cos(k))))
else
tmp = 2.0d0 / ((tan(k) * (1.0d0 + (1.0d0 + ((k / t_m) ** 2.0d0)))) * (sin(k) * (((t_m ** 2.0d0) / l) * (t_m / l))))
end if
code = t_s * tmp
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 5.5e-37) {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))) * (Math.sin(k) * ((Math.pow(t_m, 2.0) / l) * (t_m / l))));
}
return t_s * tmp;
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 5.5e-37: tmp = 2.0 / ((1.0 / l) * (math.pow((math.sqrt(t_m) * (k * math.sin(k))), 2.0) / (l * math.cos(k)))) else: tmp = 2.0 / ((math.tan(k) * (1.0 + (1.0 + math.pow((k / t_m), 2.0)))) * (math.sin(k) * ((math.pow(t_m, 2.0) / l) * (t_m / l)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 5.5e-37) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))) * Float64(sin(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l))))); end return Float64(t_s * tmp) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 5.5e-37) tmp = 2.0 / ((1.0 / l) * (((sqrt(t_m) * (k * sin(k))) ^ 2.0) / (l * cos(k)))); else tmp = 2.0 / ((tan(k) * (1.0 + (1.0 + ((k / t_m) ^ 2.0)))) * (sin(k) * (((t_m ^ 2.0) / l) * (t_m / l)))); end tmp_2 = t_s * tmp; end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 5.5e-37], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / 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 5.5 \cdot 10^{-37}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot \left(\sin k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)}\\
\end{array}
\end{array}
if t < 5.4999999999999998e-37Initial program 46.6%
Simplified46.6%
associate-*l*44.8%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.1%
clear-num53.1%
Applied egg-rr53.1%
associate-/r/53.1%
associate-*l*53.1%
Simplified53.1%
Taylor expanded in t around 0 76.8%
div-inv76.8%
add-sqr-sqrt32.0%
pow232.0%
sqrt-prod32.0%
sqrt-pow134.6%
metadata-eval34.6%
pow134.6%
*-commutative34.6%
sqrt-prod34.5%
sqrt-pow134.5%
metadata-eval34.5%
pow134.5%
Applied egg-rr34.5%
associate-*r/34.5%
*-commutative34.5%
*-rgt-identity34.5%
*-commutative34.5%
*-commutative34.5%
associate-*l*34.5%
Simplified34.5%
if 5.4999999999999998e-37 < t Initial program 67.7%
Simplified67.7%
unpow367.7%
times-frac79.5%
pow279.5%
Applied egg-rr79.5%
Final simplification47.9%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1.8e-28)
(/ 2.0 (* (* 2.0 k) (pow (* (/ (pow t_m 1.5) l) (sqrt (sin k))) 2.0)))
(/
2.0
(* (/ 1.0 l) (/ (pow (* k (* (sqrt t_m) (sin k))) 2.0) (* l (cos k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 1.8e-28) {
tmp = 2.0 / ((2.0 * k) * pow(((pow(t_m, 1.5) / l) * sqrt(sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * (pow((k * (sqrt(t_m) * sin(k))), 2.0) / (l * cos(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 <= 1.8d-28) then
tmp = 2.0d0 / ((2.0d0 * k) * ((((t_m ** 1.5d0) / l) * sqrt(sin(k))) ** 2.0d0))
else
tmp = 2.0d0 / ((1.0d0 / l) * (((k * (sqrt(t_m) * sin(k))) ** 2.0d0) / (l * cos(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 <= 1.8e-28) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((Math.pow(t_m, 1.5) / l) * Math.sqrt(Math.sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * (Math.pow((k * (Math.sqrt(t_m) * Math.sin(k))), 2.0) / (l * Math.cos(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 <= 1.8e-28: tmp = 2.0 / ((2.0 * k) * math.pow(((math.pow(t_m, 1.5) / l) * math.sqrt(math.sin(k))), 2.0)) else: tmp = 2.0 / ((1.0 / l) * (math.pow((k * (math.sqrt(t_m) * math.sin(k))), 2.0) / (l * math.cos(k)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 1.8e-28) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(k * Float64(sqrt(t_m) * sin(k))) ^ 2.0) / Float64(l * cos(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 <= 1.8e-28) tmp = 2.0 / ((2.0 * k) * ((((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0)); else tmp = 2.0 / ((1.0 / l) * (((k * (sqrt(t_m) * sin(k))) ^ 2.0) / (l * cos(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, 1.8e-28], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Sin[k], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(k * N[(N[Sqrt[t$95$m], $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.8 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \sqrt{\sin k}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(k \cdot \left(\sqrt{t\_m} \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\end{array}
\end{array}
if k < 1.7999999999999999e-28Initial program 55.7%
Simplified55.7%
add-sqr-sqrt30.2%
pow230.2%
*-commutative30.2%
sqrt-prod16.6%
sqrt-div17.1%
sqrt-pow119.6%
metadata-eval19.6%
sqrt-prod13.4%
add-sqr-sqrt26.8%
Applied egg-rr26.8%
*-commutative26.8%
Simplified26.8%
Taylor expanded in k around 0 23.6%
if 1.7999999999999999e-28 < k Initial program 47.2%
Simplified47.2%
associate-*l*47.3%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.5%
clear-num53.5%
Applied egg-rr53.5%
associate-/r/53.5%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 80.6%
pow180.6%
add-sqr-sqrt38.2%
pow238.2%
sqrt-prod38.1%
sqrt-pow143.7%
metadata-eval43.7%
pow143.7%
*-commutative43.7%
sqrt-prod43.7%
sqrt-pow143.7%
metadata-eval43.7%
pow143.7%
Applied egg-rr43.7%
unpow143.7%
Simplified43.7%
Final simplification30.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 5e-29)
(/ 2.0 (* (* 2.0 k) (pow (* (/ (pow t_m 1.5) l) (sqrt (sin k))) 2.0)))
(/
2.0
(* (/ 1.0 l) (/ (pow (* (sqrt t_m) (* k (sin k))) 2.0) (* l (cos k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5e-29) {
tmp = 2.0 / ((2.0 * k) * pow(((pow(t_m, 1.5) / l) * sqrt(sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * (pow((sqrt(t_m) * (k * sin(k))), 2.0) / (l * cos(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 <= 5d-29) then
tmp = 2.0d0 / ((2.0d0 * k) * ((((t_m ** 1.5d0) / l) * sqrt(sin(k))) ** 2.0d0))
else
tmp = 2.0d0 / ((1.0d0 / l) * (((sqrt(t_m) * (k * sin(k))) ** 2.0d0) / (l * cos(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 <= 5e-29) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((Math.pow(t_m, 1.5) / l) * Math.sqrt(Math.sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * (Math.pow((Math.sqrt(t_m) * (k * Math.sin(k))), 2.0) / (l * Math.cos(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 <= 5e-29: tmp = 2.0 / ((2.0 * k) * math.pow(((math.pow(t_m, 1.5) / l) * math.sqrt(math.sin(k))), 2.0)) else: tmp = 2.0 / ((1.0 / l) * (math.pow((math.sqrt(t_m) * (k * math.sin(k))), 2.0) / (l * math.cos(k)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5e-29) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64((Float64(sqrt(t_m) * Float64(k * sin(k))) ^ 2.0) / Float64(l * cos(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 <= 5e-29) tmp = 2.0 / ((2.0 * k) * ((((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0)); else tmp = 2.0 / ((1.0 / l) * (((sqrt(t_m) * (k * sin(k))) ^ 2.0) / (l * cos(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, 5e-29], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Sin[k], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[Power[N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5 \cdot 10^{-29}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \sqrt{\sin k}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{\left(\sqrt{t\_m} \cdot \left(k \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}\\
\end{array}
\end{array}
if k < 4.99999999999999986e-29Initial program 55.7%
Simplified55.7%
add-sqr-sqrt30.2%
pow230.2%
*-commutative30.2%
sqrt-prod16.6%
sqrt-div17.1%
sqrt-pow119.6%
metadata-eval19.6%
sqrt-prod13.4%
add-sqr-sqrt26.8%
Applied egg-rr26.8%
*-commutative26.8%
Simplified26.8%
Taylor expanded in k around 0 23.6%
if 4.99999999999999986e-29 < k Initial program 47.2%
Simplified47.2%
associate-*l*47.3%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.5%
clear-num53.5%
Applied egg-rr53.5%
associate-/r/53.5%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 80.6%
div-inv80.6%
add-sqr-sqrt38.2%
pow238.2%
sqrt-prod38.1%
sqrt-pow143.7%
metadata-eval43.7%
pow143.7%
*-commutative43.7%
sqrt-prod43.7%
sqrt-pow143.7%
metadata-eval43.7%
pow143.7%
Applied egg-rr43.7%
associate-*r/43.7%
*-commutative43.7%
*-rgt-identity43.7%
*-commutative43.7%
*-commutative43.7%
associate-*l*43.7%
Simplified43.7%
Final simplification30.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1.7e-28)
(/ 2.0 (* (* 2.0 k) (pow (* (/ (pow t_m 1.5) l) (sqrt (sin k))) 2.0)))
(/ 2.0 (/ (/ (pow (* k (* (sqrt t_m) (sin k))) 2.0) (* l (cos k))) 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 (k <= 1.7e-28) {
tmp = 2.0 / ((2.0 * k) * pow(((pow(t_m, 1.5) / l) * sqrt(sin(k))), 2.0));
} else {
tmp = 2.0 / ((pow((k * (sqrt(t_m) * sin(k))), 2.0) / (l * cos(k))) / 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 (k <= 1.7d-28) then
tmp = 2.0d0 / ((2.0d0 * k) * ((((t_m ** 1.5d0) / l) * sqrt(sin(k))) ** 2.0d0))
else
tmp = 2.0d0 / ((((k * (sqrt(t_m) * sin(k))) ** 2.0d0) / (l * cos(k))) / 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 (k <= 1.7e-28) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((Math.pow(t_m, 1.5) / l) * Math.sqrt(Math.sin(k))), 2.0));
} else {
tmp = 2.0 / ((Math.pow((k * (Math.sqrt(t_m) * Math.sin(k))), 2.0) / (l * Math.cos(k))) / 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 k <= 1.7e-28: tmp = 2.0 / ((2.0 * k) * math.pow(((math.pow(t_m, 1.5) / l) * math.sqrt(math.sin(k))), 2.0)) else: tmp = 2.0 / ((math.pow((k * (math.sqrt(t_m) * math.sin(k))), 2.0) / (l * math.cos(k))) / 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 (k <= 1.7e-28) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64((Float64(k * Float64(sqrt(t_m) * sin(k))) ^ 2.0) / Float64(l * cos(k))) / 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 (k <= 1.7e-28) tmp = 2.0 / ((2.0 * k) * ((((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0)); else tmp = 2.0 / ((((k * (sqrt(t_m) * sin(k))) ^ 2.0) / (l * cos(k))) / 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[k, 1.7e-28], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Sin[k], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[N[(k * N[(N[Sqrt[t$95$m], $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.7 \cdot 10^{-28}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \sqrt{\sin k}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\left(k \cdot \left(\sqrt{t\_m} \cdot \sin k\right)\right)}^{2}}{\ell \cdot \cos k}}{\ell}}\\
\end{array}
\end{array}
if k < 1.7e-28Initial program 55.7%
Simplified55.7%
add-sqr-sqrt30.2%
pow230.2%
*-commutative30.2%
sqrt-prod16.6%
sqrt-div17.1%
sqrt-pow119.6%
metadata-eval19.6%
sqrt-prod13.4%
add-sqr-sqrt26.8%
Applied egg-rr26.8%
*-commutative26.8%
Simplified26.8%
Taylor expanded in k around 0 23.6%
if 1.7e-28 < k Initial program 47.2%
Simplified47.2%
associate-*l*47.3%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.5%
clear-num53.5%
Applied egg-rr53.5%
associate-/r/53.5%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 80.6%
associate-*l/80.6%
*-un-lft-identity80.6%
add-sqr-sqrt38.2%
pow238.2%
sqrt-prod38.2%
sqrt-pow143.8%
metadata-eval43.8%
pow143.8%
*-commutative43.8%
sqrt-prod43.7%
sqrt-pow143.7%
metadata-eval43.7%
pow143.7%
Applied egg-rr43.7%
Final simplification30.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 7.6e-29)
(/ 2.0 (* (* 2.0 k) (pow (* (/ (pow t_m 1.5) l) (sqrt (sin k))) 2.0)))
(/
2.0
(* (/ 1.0 l) (/ (* (pow k 2.0) (* t_m (pow k 2.0))) (* l (cos k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 7.6e-29) {
tmp = 2.0 / ((2.0 * k) * pow(((pow(t_m, 1.5) / l) * sqrt(sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * ((pow(k, 2.0) * (t_m * pow(k, 2.0))) / (l * cos(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 <= 7.6d-29) then
tmp = 2.0d0 / ((2.0d0 * k) * ((((t_m ** 1.5d0) / l) * sqrt(sin(k))) ** 2.0d0))
else
tmp = 2.0d0 / ((1.0d0 / l) * (((k ** 2.0d0) * (t_m * (k ** 2.0d0))) / (l * cos(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 <= 7.6e-29) {
tmp = 2.0 / ((2.0 * k) * Math.pow(((Math.pow(t_m, 1.5) / l) * Math.sqrt(Math.sin(k))), 2.0));
} else {
tmp = 2.0 / ((1.0 / l) * ((Math.pow(k, 2.0) * (t_m * Math.pow(k, 2.0))) / (l * Math.cos(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 <= 7.6e-29: tmp = 2.0 / ((2.0 * k) * math.pow(((math.pow(t_m, 1.5) / l) * math.sqrt(math.sin(k))), 2.0)) else: tmp = 2.0 / ((1.0 / l) * ((math.pow(k, 2.0) * (t_m * math.pow(k, 2.0))) / (l * math.cos(k)))) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 7.6e-29) tmp = Float64(2.0 / Float64(Float64(2.0 * k) * (Float64(Float64((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0))); else tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64((k ^ 2.0) * Float64(t_m * (k ^ 2.0))) / Float64(l * cos(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 <= 7.6e-29) tmp = 2.0 / ((2.0 * k) * ((((t_m ^ 1.5) / l) * sqrt(sin(k))) ^ 2.0)); else tmp = 2.0 / ((1.0 / l) * (((k ^ 2.0) * (t_m * (k ^ 2.0))) / (l * cos(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, 7.6e-29], N[(2.0 / N[(N[(2.0 * k), $MachinePrecision] * N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Sin[k], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 7.6 \cdot 10^{-29}:\\
\;\;\;\;\frac{2}{\left(2 \cdot k\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \sqrt{\sin k}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{k}^{2} \cdot \left(t\_m \cdot {k}^{2}\right)}{\ell \cdot \cos k}}\\
\end{array}
\end{array}
if k < 7.59999999999999951e-29Initial program 55.7%
Simplified55.7%
add-sqr-sqrt30.2%
pow230.2%
*-commutative30.2%
sqrt-prod16.6%
sqrt-div17.1%
sqrt-pow119.6%
metadata-eval19.6%
sqrt-prod13.4%
add-sqr-sqrt26.8%
Applied egg-rr26.8%
*-commutative26.8%
Simplified26.8%
Taylor expanded in k around 0 23.6%
if 7.59999999999999951e-29 < k Initial program 47.2%
Simplified47.2%
associate-*l*47.3%
associate-/r*52.3%
associate-+r+52.3%
metadata-eval52.3%
associate-*l*52.3%
associate-*l/53.5%
clear-num53.5%
Applied egg-rr53.5%
associate-/r/53.5%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 80.6%
Taylor expanded in k around 0 67.4%
Final simplification38.1%
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 2.4e-14)
(/ 2.0 (* (/ 1.0 l) (/ (* (pow k 2.0) (* t_m (pow k 2.0))) (* l (cos k)))))
(/ 2.0 (* (pow (* t_m (pow (cbrt l) -2.0)) 3.0) (* 2.0 (pow k 2.0)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.4e-14) {
tmp = 2.0 / ((1.0 / l) * ((pow(k, 2.0) * (t_m * pow(k, 2.0))) / (l * cos(k))));
} else {
tmp = 2.0 / (pow((t_m * pow(cbrt(l), -2.0)), 3.0) * (2.0 * pow(k, 2.0)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.4e-14) {
tmp = 2.0 / ((1.0 / l) * ((Math.pow(k, 2.0) * (t_m * Math.pow(k, 2.0))) / (l * Math.cos(k))));
} else {
tmp = 2.0 / (Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (2.0 * Math.pow(k, 2.0)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.4e-14) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64((k ^ 2.0) * Float64(t_m * (k ^ 2.0))) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64((Float64(t_m * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(2.0 * (k ^ 2.0)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.4e-14], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.4 \cdot 10^{-14}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{k}^{2} \cdot \left(t\_m \cdot {k}^{2}\right)}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(2 \cdot {k}^{2}\right)}\\
\end{array}
\end{array}
if t < 2.4e-14Initial program 47.5%
Simplified47.5%
associate-*l*45.8%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.8%
Simplified53.8%
Taylor expanded in t around 0 76.9%
Taylor expanded in k around 0 66.3%
if 2.4e-14 < t Initial program 66.8%
Simplified68.0%
Taylor expanded in k around 0 60.5%
add-cube-cbrt60.3%
pow360.3%
associate-/l/55.9%
unpow255.9%
cbrt-div55.9%
unpow355.9%
add-cbrt-cube57.8%
unpow257.8%
cbrt-prod64.6%
unpow264.6%
div-inv64.6%
unpow-prod-down55.9%
pow-flip55.9%
metadata-eval55.9%
Applied egg-rr55.9%
cube-prod64.6%
Simplified64.6%
Final simplification65.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.18e-14)
(/ 2.0 (* (/ 1.0 l) (/ (* (pow k 2.0) (* t_m (pow k 2.0))) (* l (cos k)))))
(/
2.0
(*
(* 2.0 (pow k 2.0))
(/ (* (pow t_m 1.5) (* (/ 1.0 l) (pow t_m 1.5))) l))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.18e-14) {
tmp = 2.0 / ((1.0 / l) * ((pow(k, 2.0) * (t_m * pow(k, 2.0))) / (l * cos(k))));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * ((pow(t_m, 1.5) * ((1.0 / l) * pow(t_m, 1.5))) / 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 <= 1.18d-14) then
tmp = 2.0d0 / ((1.0d0 / l) * (((k ** 2.0d0) * (t_m * (k ** 2.0d0))) / (l * cos(k))))
else
tmp = 2.0d0 / ((2.0d0 * (k ** 2.0d0)) * (((t_m ** 1.5d0) * ((1.0d0 / l) * (t_m ** 1.5d0))) / 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 <= 1.18e-14) {
tmp = 2.0 / ((1.0 / l) * ((Math.pow(k, 2.0) * (t_m * Math.pow(k, 2.0))) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * ((Math.pow(t_m, 1.5) * ((1.0 / l) * Math.pow(t_m, 1.5))) / 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 <= 1.18e-14: tmp = 2.0 / ((1.0 / l) * ((math.pow(k, 2.0) * (t_m * math.pow(k, 2.0))) / (l * math.cos(k)))) else: tmp = 2.0 / ((2.0 * math.pow(k, 2.0)) * ((math.pow(t_m, 1.5) * ((1.0 / l) * math.pow(t_m, 1.5))) / l)) return t_s * tmp
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.18e-14) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64((k ^ 2.0) * Float64(t_m * (k ^ 2.0))) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64(Float64((t_m ^ 1.5) * Float64(Float64(1.0 / l) * (t_m ^ 1.5))) / 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 <= 1.18e-14) tmp = 2.0 / ((1.0 / l) * (((k ^ 2.0) * (t_m * (k ^ 2.0))) / (l * cos(k)))); else tmp = 2.0 / ((2.0 * (k ^ 2.0)) * (((t_m ^ 1.5) * ((1.0 / l) * (t_m ^ 1.5))) / 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, 1.18e-14], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] * N[(N[(1.0 / l), $MachinePrecision] * N[Power[t$95$m, 1.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.18 \cdot 10^{-14}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{k}^{2} \cdot \left(t\_m \cdot {k}^{2}\right)}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{{t\_m}^{1.5} \cdot \left(\frac{1}{\ell} \cdot {t\_m}^{1.5}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 1.17999999999999993e-14Initial program 47.5%
Simplified47.5%
associate-*l*45.8%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.8%
Simplified53.8%
Taylor expanded in t around 0 76.9%
Taylor expanded in k around 0 66.3%
if 1.17999999999999993e-14 < t Initial program 66.8%
Simplified68.0%
Taylor expanded in k around 0 60.5%
div-inv60.5%
sqr-pow60.4%
associate-*l*63.3%
metadata-eval63.3%
metadata-eval63.3%
Applied egg-rr63.3%
Final simplification65.4%
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 7e-15)
(/ 2.0 (* (/ 1.0 l) (/ (* (pow k 2.0) (* t_m (pow k 2.0))) (* l (cos k)))))
(/ 2.0 (* (* 2.0 (pow k 2.0)) (/ (pow (/ t_m (cbrt l)) 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) {
double tmp;
if (t_m <= 7e-15) {
tmp = 2.0 / ((1.0 / l) * ((pow(k, 2.0) * (t_m * pow(k, 2.0))) / (l * cos(k))));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * (pow((t_m / cbrt(l)), 3.0) / 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 <= 7e-15) {
tmp = 2.0 / ((1.0 / l) * ((Math.pow(k, 2.0) * (t_m * Math.pow(k, 2.0))) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * (Math.pow((t_m / Math.cbrt(l)), 3.0) / l));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 7e-15) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64((k ^ 2.0) * Float64(t_m * (k ^ 2.0))) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64((Float64(t_m / cbrt(l)) ^ 3.0) / 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, 7e-15], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 7 \cdot 10^{-15}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{{k}^{2} \cdot \left(t\_m \cdot {k}^{2}\right)}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{{\left(\frac{t\_m}{\sqrt[3]{\ell}}\right)}^{3}}{\ell}}\\
\end{array}
\end{array}
if t < 7.0000000000000001e-15Initial program 47.5%
Simplified47.5%
associate-*l*45.8%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.8%
Simplified53.8%
Taylor expanded in t around 0 76.9%
Taylor expanded in k around 0 66.3%
if 7.0000000000000001e-15 < t Initial program 66.8%
Simplified68.0%
Taylor expanded in k around 0 60.5%
add-cube-cbrt60.4%
pow360.4%
cbrt-div60.4%
rem-cbrt-cube63.2%
Applied egg-rr63.2%
Final simplification65.4%
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 7.1e-16)
(/ 2.0 (* (/ 1.0 l) (/ (* t_m (pow k 4.0)) (* l (cos k)))))
(/ 2.0 (* (* 2.0 (pow k 2.0)) (/ (pow (/ t_m (cbrt l)) 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) {
double tmp;
if (t_m <= 7.1e-16) {
tmp = 2.0 / ((1.0 / l) * ((t_m * pow(k, 4.0)) / (l * cos(k))));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * (pow((t_m / cbrt(l)), 3.0) / 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 <= 7.1e-16) {
tmp = 2.0 / ((1.0 / l) * ((t_m * Math.pow(k, 4.0)) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * (Math.pow((t_m / Math.cbrt(l)), 3.0) / l));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 7.1e-16) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m * (k ^ 4.0)) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64((Float64(t_m / cbrt(l)) ^ 3.0) / 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, 7.1e-16], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.1 \cdot 10^{-16}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{t\_m \cdot {k}^{4}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{{\left(\frac{t\_m}{\sqrt[3]{\ell}}\right)}^{3}}{\ell}}\\
\end{array}
\end{array}
if t < 7.1e-16Initial program 47.5%
Simplified47.5%
associate-*l*45.8%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.8%
Simplified53.8%
Taylor expanded in t around 0 76.9%
Taylor expanded in k around 0 66.1%
if 7.1e-16 < t Initial program 66.8%
Simplified68.0%
Taylor expanded in k around 0 60.5%
add-cube-cbrt60.4%
pow360.4%
cbrt-div60.4%
rem-cbrt-cube63.2%
Applied egg-rr63.2%
Final simplification65.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 5.35e-14)
(/ 2.0 (* (/ 1.0 l) (/ (* t_m (pow k 4.0)) (* l (cos k)))))
(/
2.0
(* (* 2.0 (pow k 2.0)) (/ (* (pow t_m 2.0) (* t_m (/ 1.0 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 <= 5.35e-14) {
tmp = 2.0 / ((1.0 / l) * ((t_m * pow(k, 4.0)) / (l * cos(k))));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * ((pow(t_m, 2.0) * (t_m * (1.0 / 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 <= 5.35d-14) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m * (k ** 4.0d0)) / (l * cos(k))))
else
tmp = 2.0d0 / ((2.0d0 * (k ** 2.0d0)) * (((t_m ** 2.0d0) * (t_m * (1.0d0 / 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 <= 5.35e-14) {
tmp = 2.0 / ((1.0 / l) * ((t_m * Math.pow(k, 4.0)) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * ((Math.pow(t_m, 2.0) * (t_m * (1.0 / 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 <= 5.35e-14: tmp = 2.0 / ((1.0 / l) * ((t_m * math.pow(k, 4.0)) / (l * math.cos(k)))) else: tmp = 2.0 / ((2.0 * math.pow(k, 2.0)) * ((math.pow(t_m, 2.0) * (t_m * (1.0 / 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 <= 5.35e-14) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m * (k ^ 4.0)) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64(Float64((t_m ^ 2.0) * Float64(t_m * Float64(1.0 / 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 <= 5.35e-14) tmp = 2.0 / ((1.0 / l) * ((t_m * (k ^ 4.0)) / (l * cos(k)))); else tmp = 2.0 / ((2.0 * (k ^ 2.0)) * (((t_m ^ 2.0) * (t_m * (1.0 / 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, 5.35e-14], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.35 \cdot 10^{-14}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{t\_m \cdot {k}^{4}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{{t\_m}^{2} \cdot \left(t\_m \cdot \frac{1}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 5.3499999999999999e-14Initial program 47.5%
Simplified47.5%
associate-*l*45.8%
associate-/r*53.0%
associate-+r+53.0%
metadata-eval53.0%
associate-*l*53.0%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.8%
Simplified53.8%
Taylor expanded in t around 0 76.9%
Taylor expanded in k around 0 66.1%
if 5.3499999999999999e-14 < t Initial program 66.8%
Simplified68.0%
Taylor expanded in k around 0 60.5%
div-inv60.5%
unpow360.5%
associate-*l*62.0%
pow262.0%
Applied egg-rr62.0%
Final simplification65.0%
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 4.2e-20)
(/ 2.0 (* (/ 1.0 l) (/ (* t_m (pow k 4.0)) (* l (cos k)))))
(/ 2.0 (/ (* 2.0 (/ (* (pow k 2.0) (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 <= 4.2e-20) {
tmp = 2.0 / ((1.0 / l) * ((t_m * pow(k, 4.0)) / (l * cos(k))));
} else {
tmp = 2.0 / ((2.0 * ((pow(k, 2.0) * 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 <= 4.2d-20) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m * (k ** 4.0d0)) / (l * cos(k))))
else
tmp = 2.0d0 / ((2.0d0 * (((k ** 2.0d0) * (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 <= 4.2e-20) {
tmp = 2.0 / ((1.0 / l) * ((t_m * Math.pow(k, 4.0)) / (l * Math.cos(k))));
} else {
tmp = 2.0 / ((2.0 * ((Math.pow(k, 2.0) * 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 <= 4.2e-20: tmp = 2.0 / ((1.0 / l) * ((t_m * math.pow(k, 4.0)) / (l * math.cos(k)))) else: tmp = 2.0 / ((2.0 * ((math.pow(k, 2.0) * 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 <= 4.2e-20) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m * (k ^ 4.0)) / Float64(l * cos(k))))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(Float64((k ^ 2.0) * (t_m ^ 3.0)) / 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 <= 4.2e-20) tmp = 2.0 / ((1.0 / l) * ((t_m * (k ^ 4.0)) / (l * cos(k)))); else tmp = 2.0 / ((2.0 * (((k ^ 2.0) * (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, 4.2e-20], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] / N[(l * N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.2 \cdot 10^{-20}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \frac{t\_m \cdot {k}^{4}}{\ell \cdot \cos k}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \frac{{k}^{2} \cdot {t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 4.1999999999999998e-20Initial program 47.5%
Simplified47.5%
associate-*l*45.7%
associate-/r*53.1%
associate-+r+53.1%
metadata-eval53.1%
associate-*l*53.1%
associate-*l/53.9%
clear-num53.9%
Applied egg-rr53.9%
associate-/r/53.9%
associate-*l*53.9%
Simplified53.9%
Taylor expanded in t around 0 77.2%
Taylor expanded in k around 0 66.3%
if 4.1999999999999998e-20 < t Initial program 66.3%
Simplified66.3%
associate-*l*62.0%
associate-/r*67.5%
associate-+r+67.5%
metadata-eval67.5%
associate-*l*67.5%
associate-*l/70.2%
Applied egg-rr70.2%
Taylor expanded in k around 0 61.6%
Final simplification65.0%
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 4.6e-42)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ 2.0 (* (* 2.0 (pow k 2.0)) (/ (/ (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 <= 4.6e-42) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * pow(k, 2.0)) * ((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 <= 4.6d-42) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * (k ** 2.0d0)) * (((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 <= 4.6e-42) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k, 2.0)) * ((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 <= 4.6e-42: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * math.pow(k, 2.0)) * ((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 <= 4.6e-42) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k ^ 2.0)) * Float64(Float64((t_m ^ 3.0) / 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 <= 4.6e-42) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * (k ^ 2.0)) * (((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, 4.6e-42], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.6 \cdot 10^{-42}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k}^{2}\right) \cdot \frac{\frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 4.60000000000000008e-42Initial program 46.9%
Simplified46.9%
associate-*l*45.0%
associate-/r*52.5%
associate-+r+52.5%
metadata-eval52.5%
associate-*l*52.6%
associate-*l/53.4%
clear-num53.4%
Applied egg-rr53.4%
associate-/r/53.4%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 77.2%
Taylor expanded in k around 0 63.1%
associate-/l*64.6%
Simplified64.6%
if 4.60000000000000008e-42 < t Initial program 66.9%
Simplified68.0%
Taylor expanded in k around 0 59.7%
Final simplification63.1%
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 4.6e-24)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ 2.0 (/ (* 2.0 (/ (* (pow k 2.0) (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 <= 4.6e-24) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * ((pow(k, 2.0) * 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 <= 4.6d-24) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * (((k ** 2.0d0) * (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 <= 4.6e-24) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / ((2.0 * ((Math.pow(k, 2.0) * 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 <= 4.6e-24: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))) else: tmp = 2.0 / ((2.0 * ((math.pow(k, 2.0) * 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 <= 4.6e-24) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(Float64((k ^ 2.0) * (t_m ^ 3.0)) / 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 <= 4.6e-24) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0))); else tmp = 2.0 / ((2.0 * (((k ^ 2.0) * (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, 4.6e-24], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(N[(N[Power[k, 2.0], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.6 \cdot 10^{-24}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \frac{{k}^{2} \cdot {t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 4.6000000000000002e-24Initial program 46.9%
Simplified46.9%
associate-*l*45.1%
associate-/r*52.5%
associate-+r+52.5%
metadata-eval52.5%
associate-*l*52.6%
associate-*l/53.4%
clear-num53.4%
Applied egg-rr53.4%
associate-/r/53.4%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 77.0%
Taylor expanded in k around 0 63.0%
associate-/l*64.4%
Simplified64.4%
if 4.6000000000000002e-24 < t Initial program 67.2%
Simplified67.2%
associate-*l*63.0%
associate-/r*68.4%
associate-+r+68.4%
metadata-eval68.4%
associate-*l*68.4%
associate-*l/71.0%
Applied egg-rr71.0%
Taylor expanded in k around 0 61.3%
Final simplification63.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.7e-43)
(/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))
(/ 2.0 (/ (* (* 2.0 (pow k 2.0)) (/ (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 <= 3.7e-43) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0)));
} else {
tmp = 2.0 / (((2.0 * pow(k, 2.0)) * (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 <= 3.7d-43) then
tmp = 2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0)))
else
tmp = 2.0d0 / (((2.0d0 * (k ** 2.0d0)) * ((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 <= 3.7e-43) {
tmp = 2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / (((2.0 * Math.pow(k, 2.0)) * (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 <= 3.7e-43: tmp = 2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))) else: tmp = 2.0 / (((2.0 * math.pow(k, 2.0)) * (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 <= 3.7e-43) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * (k ^ 2.0)) * Float64((t_m ^ 3.0) / 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 <= 3.7e-43) tmp = 2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0))); else tmp = 2.0 / (((2.0 * (k ^ 2.0)) * ((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, 3.7e-43], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.7 \cdot 10^{-43}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(2 \cdot {k}^{2}\right) \cdot \frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 3.7e-43Initial program 46.9%
Simplified46.9%
associate-*l*45.0%
associate-/r*52.5%
associate-+r+52.5%
metadata-eval52.5%
associate-*l*52.6%
associate-*l/53.4%
clear-num53.4%
Applied egg-rr53.4%
associate-/r/53.4%
associate-*l*53.4%
Simplified53.4%
Taylor expanded in t around 0 77.2%
Taylor expanded in k around 0 63.1%
associate-/l*64.6%
Simplified64.6%
if 3.7e-43 < t Initial program 66.9%
Simplified68.0%
Taylor expanded in k around 0 59.7%
associate-*l/61.1%
Applied egg-rr61.1%
Final simplification63.5%
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 (/ 2.0 (* (/ 1.0 l) (* (/ t_m l) (pow k 4.0))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((1.0 / l) * ((t_m / l) * pow(k, 4.0))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((1.0d0 / l) * ((t_m / l) * (k ** 4.0d0))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((1.0 / l) * ((t_m / l) * Math.pow(k, 4.0))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((1.0 / l) * ((t_m / l) * math.pow(k, 4.0))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(1.0 / l) * Float64(Float64(t_m / l) * (k ^ 4.0))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((1.0 / l) * ((t_m / l) * (k ^ 4.0)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{1}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot {k}^{4}\right)}
\end{array}
Initial program 52.9%
Simplified52.9%
associate-*l*50.4%
associate-/r*57.2%
associate-+r+57.2%
metadata-eval57.2%
associate-*l*57.2%
associate-*l/58.5%
clear-num58.5%
Applied egg-rr58.5%
associate-/r/58.5%
associate-*l*58.5%
Simplified58.5%
Taylor expanded in t around 0 69.9%
Taylor expanded in k around 0 58.5%
associate-/l*59.4%
Simplified59.4%
Final simplification59.4%
herbie shell --seed 2024080
(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))))