
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
\end{array}
(FPCore (t l k) :precision binary64 (pow (/ (pow (/ (cbrt (* (sqrt 2.0) t)) (cbrt k)) 2.0) (* (cbrt (* (sin k) (tan k))) (* t (pow (cbrt l) -2.0)))) 3.0))
double code(double t, double l, double k) {
return pow((pow((cbrt((sqrt(2.0) * t)) / cbrt(k)), 2.0) / (cbrt((sin(k) * tan(k))) * (t * pow(cbrt(l), -2.0)))), 3.0);
}
public static double code(double t, double l, double k) {
return Math.pow((Math.pow((Math.cbrt((Math.sqrt(2.0) * t)) / Math.cbrt(k)), 2.0) / (Math.cbrt((Math.sin(k) * Math.tan(k))) * (t * Math.pow(Math.cbrt(l), -2.0)))), 3.0);
}
function code(t, l, k) return Float64((Float64(cbrt(Float64(sqrt(2.0) * t)) / cbrt(k)) ^ 2.0) / Float64(cbrt(Float64(sin(k) * tan(k))) * Float64(t * (cbrt(l) ^ -2.0)))) ^ 3.0 end
code[t_, l_, k_] := N[Power[N[(N[Power[N[(N[Power[N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision], 1/3], $MachinePrecision] / N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / N[(N[Power[N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\frac{{\left(\frac{\sqrt[3]{\sqrt{2} \cdot t}}{\sqrt[3]{k}}\right)}^{2}}{\sqrt[3]{\sin k \cdot \tan k} \cdot \left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}\right)}^{3}
\end{array}
Initial program 35.0%
Simplified35.0%
Applied egg-rr81.5%
associate-*l/77.6%
associate-*r/71.0%
unpow271.0%
associate-/r/71.0%
Simplified71.0%
add-cube-cbrt70.9%
pow370.9%
Applied egg-rr88.6%
cbrt-div94.1%
Applied egg-rr94.1%
(FPCore (t l k) :precision binary64 (pow (/ (pow (cbrt (/ (* (sqrt 2.0) t) k)) 2.0) (* (* t (pow (cbrt l) -2.0)) (* (cbrt (tan k)) (cbrt (sin k))))) 3.0))
double code(double t, double l, double k) {
return pow((pow(cbrt(((sqrt(2.0) * t) / k)), 2.0) / ((t * pow(cbrt(l), -2.0)) * (cbrt(tan(k)) * cbrt(sin(k))))), 3.0);
}
public static double code(double t, double l, double k) {
return Math.pow((Math.pow(Math.cbrt(((Math.sqrt(2.0) * t) / k)), 2.0) / ((t * Math.pow(Math.cbrt(l), -2.0)) * (Math.cbrt(Math.tan(k)) * Math.cbrt(Math.sin(k))))), 3.0);
}
function code(t, l, k) return Float64((cbrt(Float64(Float64(sqrt(2.0) * t) / k)) ^ 2.0) / Float64(Float64(t * (cbrt(l) ^ -2.0)) * Float64(cbrt(tan(k)) * cbrt(sin(k))))) ^ 3.0 end
code[t_, l_, k_] := N[Power[N[(N[Power[N[Power[N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / k), $MachinePrecision], 1/3], $MachinePrecision], 2.0], $MachinePrecision] / N[(N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Tan[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\frac{{\left(\sqrt[3]{\frac{\sqrt{2} \cdot t}{k}}\right)}^{2}}{\left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \left(\sqrt[3]{\tan k} \cdot \sqrt[3]{\sin k}\right)}\right)}^{3}
\end{array}
Initial program 35.0%
Simplified35.0%
Applied egg-rr81.5%
associate-*l/77.6%
associate-*r/71.0%
unpow271.0%
associate-/r/71.0%
Simplified71.0%
add-cube-cbrt70.9%
pow370.9%
Applied egg-rr88.6%
*-commutative88.6%
cbrt-prod89.3%
Applied egg-rr89.3%
Final simplification89.3%
(FPCore (t l k) :precision binary64 (pow (/ (pow (cbrt (/ (* (sqrt 2.0) t) k)) 2.0) (* (cbrt (* (sin k) (tan k))) (* t (pow (cbrt l) -2.0)))) 3.0))
double code(double t, double l, double k) {
return pow((pow(cbrt(((sqrt(2.0) * t) / k)), 2.0) / (cbrt((sin(k) * tan(k))) * (t * pow(cbrt(l), -2.0)))), 3.0);
}
public static double code(double t, double l, double k) {
return Math.pow((Math.pow(Math.cbrt(((Math.sqrt(2.0) * t) / k)), 2.0) / (Math.cbrt((Math.sin(k) * Math.tan(k))) * (t * Math.pow(Math.cbrt(l), -2.0)))), 3.0);
}
function code(t, l, k) return Float64((cbrt(Float64(Float64(sqrt(2.0) * t) / k)) ^ 2.0) / Float64(cbrt(Float64(sin(k) * tan(k))) * Float64(t * (cbrt(l) ^ -2.0)))) ^ 3.0 end
code[t_, l_, k_] := N[Power[N[(N[Power[N[Power[N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / k), $MachinePrecision], 1/3], $MachinePrecision], 2.0], $MachinePrecision] / N[(N[Power[N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(\frac{{\left(\sqrt[3]{\frac{\sqrt{2} \cdot t}{k}}\right)}^{2}}{\sqrt[3]{\sin k \cdot \tan k} \cdot \left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}\right)}^{3}
\end{array}
Initial program 35.0%
Simplified35.0%
Applied egg-rr81.5%
associate-*l/77.6%
associate-*r/71.0%
unpow271.0%
associate-/r/71.0%
Simplified71.0%
add-cube-cbrt70.9%
pow370.9%
Applied egg-rr88.6%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))) (t_2 (* t (pow (cbrt l) -2.0))))
(if (<= (* l l) 1e-310)
(pow
(/ (pow (cbrt (/ (* (sqrt 2.0) t) k)) 2.0) (* t_2 (cbrt (pow k 2.0))))
3.0)
(if (<= (* l l) 2e+295)
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1)))
(pow (/ (cbrt (* 2.0 (pow (/ t k) 2.0))) (* (cbrt t_1) t_2)) 3.0)))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double t_2 = t * pow(cbrt(l), -2.0);
double tmp;
if ((l * l) <= 1e-310) {
tmp = pow((pow(cbrt(((sqrt(2.0) * t) / k)), 2.0) / (t_2 * cbrt(pow(k, 2.0)))), 3.0);
} else if ((l * l) <= 2e+295) {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
} else {
tmp = pow((cbrt((2.0 * pow((t / k), 2.0))) / (cbrt(t_1) * t_2)), 3.0);
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double t_2 = t * Math.pow(Math.cbrt(l), -2.0);
double tmp;
if ((l * l) <= 1e-310) {
tmp = Math.pow((Math.pow(Math.cbrt(((Math.sqrt(2.0) * t) / k)), 2.0) / (t_2 * Math.cbrt(Math.pow(k, 2.0)))), 3.0);
} else if ((l * l) <= 2e+295) {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
} else {
tmp = Math.pow((Math.cbrt((2.0 * Math.pow((t / k), 2.0))) / (Math.cbrt(t_1) * t_2)), 3.0);
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) t_2 = Float64(t * (cbrt(l) ^ -2.0)) tmp = 0.0 if (Float64(l * l) <= 1e-310) tmp = Float64((cbrt(Float64(Float64(sqrt(2.0) * t) / k)) ^ 2.0) / Float64(t_2 * cbrt((k ^ 2.0)))) ^ 3.0; elseif (Float64(l * l) <= 2e+295) tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); else tmp = Float64(cbrt(Float64(2.0 * (Float64(t / k) ^ 2.0))) / Float64(cbrt(t_1) * t_2)) ^ 3.0; end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(l * l), $MachinePrecision], 1e-310], N[Power[N[(N[Power[N[Power[N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / k), $MachinePrecision], 1/3], $MachinePrecision], 2.0], $MachinePrecision] / N[(t$95$2 * N[Power[N[Power[k, 2.0], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+295], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[Power[N[(2.0 * N[Power[N[(t / k), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / N[(N[Power[t$95$1, 1/3], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
t_2 := t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\\
\mathbf{if}\;\ell \cdot \ell \leq 10^{-310}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\frac{\sqrt{2} \cdot t}{k}}\right)}^{2}}{t\_2 \cdot \sqrt[3]{{k}^{2}}}\right)}^{3}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+295}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\sqrt[3]{2 \cdot {\left(\frac{t}{k}\right)}^{2}}}{\sqrt[3]{t\_1} \cdot t\_2}\right)}^{3}\\
\end{array}
\end{array}
if (*.f64 l l) < 9.999999999999969e-311Initial program 26.1%
Simplified26.1%
Applied egg-rr86.4%
associate-*l/84.9%
associate-*r/81.2%
unpow281.2%
associate-/r/81.2%
Simplified81.2%
add-cube-cbrt81.2%
pow381.2%
Applied egg-rr90.9%
Taylor expanded in k around 0 89.5%
if 9.999999999999969e-311 < (*.f64 l l) < 2e295Initial program 43.3%
Simplified55.2%
add-log-exp37.0%
exp-prod39.5%
Applied egg-rr39.5%
Taylor expanded in k around inf 87.4%
associate-/r*87.5%
Simplified87.5%
*-un-lft-identity87.5%
div-inv87.5%
pow-flip88.3%
metadata-eval88.3%
Applied egg-rr88.3%
*-lft-identity88.3%
Simplified88.3%
if 2e295 < (*.f64 l l) Initial program 28.6%
Simplified28.6%
Applied egg-rr83.9%
associate-*l/78.0%
associate-*r/63.0%
unpow263.0%
associate-/r/62.9%
Simplified62.9%
add-cube-cbrt62.9%
pow362.9%
Applied egg-rr90.7%
div-inv90.6%
unpow290.6%
cbrt-unprod64.7%
pow264.7%
associate-/l*64.7%
Applied egg-rr64.7%
associate-*r/64.7%
*-rgt-identity64.7%
unpow264.7%
swap-sqr64.8%
rem-square-sqrt64.8%
unpow264.8%
*-commutative64.8%
Simplified64.8%
Final simplification81.4%
(FPCore (t l k)
:precision binary64
(if (<= l 2.7e-155)
(pow
(/
(pow (cbrt (/ (* (sqrt 2.0) t) k)) 2.0)
(* (* t (pow (cbrt l) -2.0)) (cbrt (pow k 2.0))))
3.0)
(if (<= l 1.85e+149)
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t (* (sin k) (tan k)))))
(/
2.0
(pow
(*
(/ t (pow (cbrt l) 2.0))
(cbrt (* (sin k) (* (tan k) (pow (/ k t) 2.0)))))
3.0)))))
double code(double t, double l, double k) {
double tmp;
if (l <= 2.7e-155) {
tmp = pow((pow(cbrt(((sqrt(2.0) * t) / k)), 2.0) / ((t * pow(cbrt(l), -2.0)) * cbrt(pow(k, 2.0)))), 3.0);
} else if (l <= 1.85e+149) {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * (sin(k) * tan(k))));
} else {
tmp = 2.0 / pow(((t / pow(cbrt(l), 2.0)) * cbrt((sin(k) * (tan(k) * pow((k / t), 2.0))))), 3.0);
}
return tmp;
}
public static double code(double t, double l, double k) {
double tmp;
if (l <= 2.7e-155) {
tmp = Math.pow((Math.pow(Math.cbrt(((Math.sqrt(2.0) * t) / k)), 2.0) / ((t * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(Math.pow(k, 2.0)))), 3.0);
} else if (l <= 1.85e+149) {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * (Math.sin(k) * Math.tan(k))));
} else {
tmp = 2.0 / Math.pow(((t / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt((Math.sin(k) * (Math.tan(k) * Math.pow((k / t), 2.0))))), 3.0);
}
return tmp;
}
function code(t, l, k) tmp = 0.0 if (l <= 2.7e-155) tmp = Float64((cbrt(Float64(Float64(sqrt(2.0) * t) / k)) ^ 2.0) / Float64(Float64(t * (cbrt(l) ^ -2.0)) * cbrt((k ^ 2.0)))) ^ 3.0; elseif (l <= 1.85e+149) tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * Float64(sin(k) * tan(k))))); else tmp = Float64(2.0 / (Float64(Float64(t / (cbrt(l) ^ 2.0)) * cbrt(Float64(sin(k) * Float64(tan(k) * (Float64(k / t) ^ 2.0))))) ^ 3.0)); end return tmp end
code[t_, l_, k_] := If[LessEqual[l, 2.7e-155], N[Power[N[(N[Power[N[Power[N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / k), $MachinePrecision], 1/3], $MachinePrecision], 2.0], $MachinePrecision] / N[(N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Power[k, 2.0], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], If[LessEqual[l, 1.85e+149], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t / 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[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\ell \leq 2.7 \cdot 10^{-155}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\frac{\sqrt{2} \cdot t}{k}}\right)}^{2}}{\left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{{k}^{2}}}\right)}^{3}\\
\mathbf{elif}\;\ell \leq 1.85 \cdot 10^{+149}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot \left(\sin k \cdot \tan k\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot {\left(\frac{k}{t}\right)}^{2}\right)}\right)}^{3}}\\
\end{array}
\end{array}
if l < 2.69999999999999981e-155Initial program 32.6%
Simplified32.6%
Applied egg-rr84.2%
associate-*l/81.9%
associate-*r/76.0%
unpow276.0%
associate-/r/76.0%
Simplified76.0%
add-cube-cbrt76.0%
pow376.0%
Applied egg-rr91.5%
Taylor expanded in k around 0 70.8%
if 2.69999999999999981e-155 < l < 1.84999999999999989e149Initial program 41.9%
Simplified52.9%
add-log-exp35.7%
exp-prod36.9%
Applied egg-rr36.9%
Taylor expanded in k around inf 85.3%
associate-/r*85.4%
Simplified85.4%
*-un-lft-identity85.4%
div-inv85.4%
pow-flip85.5%
metadata-eval85.5%
Applied egg-rr85.5%
*-lft-identity85.5%
Simplified85.5%
if 1.84999999999999989e149 < l Initial program 31.3%
Simplified31.3%
add-cube-cbrt31.3%
pow331.3%
Applied egg-rr62.7%
Final simplification73.8%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= k 1.2e-108)
(/
(/ 2.0 (pow (/ k t) 2.0))
(pow (* (cbrt t_1) (/ t (pow (cbrt l) 2.0))) 3.0))
(if (<= k 4.1e+157)
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1)))
(/
2.0
(pow
(* (* t (pow (cbrt l) -2.0)) (cbrt (* t_1 (pow (/ t k) -2.0))))
3.0))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (k <= 1.2e-108) {
tmp = (2.0 / pow((k / t), 2.0)) / pow((cbrt(t_1) * (t / pow(cbrt(l), 2.0))), 3.0);
} else if (k <= 4.1e+157) {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
} else {
tmp = 2.0 / pow(((t * pow(cbrt(l), -2.0)) * cbrt((t_1 * pow((t / k), -2.0)))), 3.0);
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (k <= 1.2e-108) {
tmp = (2.0 / Math.pow((k / t), 2.0)) / Math.pow((Math.cbrt(t_1) * (t / Math.pow(Math.cbrt(l), 2.0))), 3.0);
} else if (k <= 4.1e+157) {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
} else {
tmp = 2.0 / Math.pow(((t * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt((t_1 * Math.pow((t / k), -2.0)))), 3.0);
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (k <= 1.2e-108) tmp = Float64(Float64(2.0 / (Float64(k / t) ^ 2.0)) / (Float64(cbrt(t_1) * Float64(t / (cbrt(l) ^ 2.0))) ^ 3.0)); elseif (k <= 4.1e+157) tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); else tmp = Float64(2.0 / (Float64(Float64(t * (cbrt(l) ^ -2.0)) * cbrt(Float64(t_1 * (Float64(t / k) ^ -2.0)))) ^ 3.0)); end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k, 1.2e-108], N[(N[(2.0 / N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Power[N[(N[Power[t$95$1, 1/3], $MachinePrecision] * N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 4.1e+157], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$1 * N[Power[N[(t / k), $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;k \leq 1.2 \cdot 10^{-108}:\\
\;\;\;\;\frac{\frac{2}{{\left(\frac{k}{t}\right)}^{2}}}{{\left(\sqrt[3]{t\_1} \cdot \frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\mathbf{elif}\;k \leq 4.1 \cdot 10^{+157}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{t\_1 \cdot {\left(\frac{t}{k}\right)}^{-2}}\right)}^{3}}\\
\end{array}
\end{array}
if k < 1.20000000000000009e-108Initial program 36.3%
*-commutative36.3%
associate-/r*36.3%
Simplified41.5%
add-cube-cbrt41.5%
pow341.5%
cbrt-prod41.5%
cbrt-div41.5%
rem-cbrt-cube59.6%
cbrt-prod71.2%
pow271.2%
Applied egg-rr71.2%
if 1.20000000000000009e-108 < k < 4.10000000000000016e157Initial program 25.2%
Simplified37.0%
add-log-exp19.8%
exp-prod23.5%
Applied egg-rr23.5%
Taylor expanded in k around inf 77.0%
associate-/r*77.2%
Simplified77.2%
*-un-lft-identity77.2%
div-inv77.2%
pow-flip78.7%
metadata-eval78.7%
Applied egg-rr78.7%
*-lft-identity78.7%
Simplified78.7%
if 4.10000000000000016e157 < k Initial program 47.1%
Simplified47.1%
+-commutative47.1%
associate-+l-50.0%
metadata-eval50.0%
--rgt-identity50.0%
unpow250.0%
clear-num50.0%
clear-num50.0%
frac-times50.0%
metadata-eval50.0%
Applied egg-rr50.0%
add-cube-cbrt50.0%
pow350.0%
Applied egg-rr72.8%
Final simplification73.3%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= k 9.5e-109)
(/
2.0
(*
(pow (* (cbrt t_1) (/ t (pow (cbrt l) 2.0))) 3.0)
(/ 1.0 (* (/ t k) (/ t k)))))
(if (<= k 4.1e+157)
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1)))
(/
2.0
(pow
(* (* t (pow (cbrt l) -2.0)) (cbrt (* t_1 (pow (/ t k) -2.0))))
3.0))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (k <= 9.5e-109) {
tmp = 2.0 / (pow((cbrt(t_1) * (t / pow(cbrt(l), 2.0))), 3.0) * (1.0 / ((t / k) * (t / k))));
} else if (k <= 4.1e+157) {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
} else {
tmp = 2.0 / pow(((t * pow(cbrt(l), -2.0)) * cbrt((t_1 * pow((t / k), -2.0)))), 3.0);
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (k <= 9.5e-109) {
tmp = 2.0 / (Math.pow((Math.cbrt(t_1) * (t / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (1.0 / ((t / k) * (t / k))));
} else if (k <= 4.1e+157) {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
} else {
tmp = 2.0 / Math.pow(((t * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt((t_1 * Math.pow((t / k), -2.0)))), 3.0);
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (k <= 9.5e-109) tmp = Float64(2.0 / Float64((Float64(cbrt(t_1) * Float64(t / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(1.0 / Float64(Float64(t / k) * Float64(t / k))))); elseif (k <= 4.1e+157) tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); else tmp = Float64(2.0 / (Float64(Float64(t * (cbrt(l) ^ -2.0)) * cbrt(Float64(t_1 * (Float64(t / k) ^ -2.0)))) ^ 3.0)); end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k, 9.5e-109], N[(2.0 / N[(N[Power[N[(N[Power[t$95$1, 1/3], $MachinePrecision] * N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(1.0 / N[(N[(t / k), $MachinePrecision] * N[(t / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 4.1e+157], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$1 * N[Power[N[(t / k), $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;k \leq 9.5 \cdot 10^{-109}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{t\_1} \cdot \frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \frac{1}{\frac{t}{k} \cdot \frac{t}{k}}}\\
\mathbf{elif}\;k \leq 4.1 \cdot 10^{+157}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{t\_1 \cdot {\left(\frac{t}{k}\right)}^{-2}}\right)}^{3}}\\
\end{array}
\end{array}
if k < 9.49999999999999933e-109Initial program 36.3%
Simplified36.3%
+-commutative36.3%
associate-+l-41.5%
metadata-eval41.5%
--rgt-identity41.5%
unpow241.5%
clear-num41.5%
clear-num41.5%
frac-times41.5%
metadata-eval41.5%
Applied egg-rr41.5%
add-cube-cbrt41.5%
pow341.5%
cbrt-prod41.5%
cbrt-div41.5%
rem-cbrt-cube59.6%
cbrt-prod71.2%
pow271.2%
Applied egg-rr71.2%
if 9.49999999999999933e-109 < k < 4.10000000000000016e157Initial program 25.2%
Simplified37.0%
add-log-exp19.8%
exp-prod23.5%
Applied egg-rr23.5%
Taylor expanded in k around inf 77.0%
associate-/r*77.2%
Simplified77.2%
*-un-lft-identity77.2%
div-inv77.2%
pow-flip78.7%
metadata-eval78.7%
Applied egg-rr78.7%
*-lft-identity78.7%
Simplified78.7%
if 4.10000000000000016e157 < k Initial program 47.1%
Simplified47.1%
+-commutative47.1%
associate-+l-50.0%
metadata-eval50.0%
--rgt-identity50.0%
unpow250.0%
clear-num50.0%
clear-num50.0%
frac-times50.0%
metadata-eval50.0%
Applied egg-rr50.0%
add-cube-cbrt50.0%
pow350.0%
Applied egg-rr72.8%
Final simplification73.3%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= k 1.3e-108)
(/
2.0
(*
(pow (* (cbrt t_1) (/ t (pow (cbrt l) 2.0))) 3.0)
(/ 1.0 (* (/ t k) (/ t k)))))
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (k <= 1.3e-108) {
tmp = 2.0 / (pow((cbrt(t_1) * (t / pow(cbrt(l), 2.0))), 3.0) * (1.0 / ((t / k) * (t / k))));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (k <= 1.3e-108) {
tmp = 2.0 / (Math.pow((Math.cbrt(t_1) * (t / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (1.0 / ((t / k) * (t / k))));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (k <= 1.3e-108) tmp = Float64(2.0 / Float64((Float64(cbrt(t_1) * Float64(t / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(1.0 / Float64(Float64(t / k) * Float64(t / k))))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[k, 1.3e-108], N[(2.0 / N[(N[Power[N[(N[Power[t$95$1, 1/3], $MachinePrecision] * N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(1.0 / N[(N[(t / k), $MachinePrecision] * N[(t / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;k \leq 1.3 \cdot 10^{-108}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{t\_1} \cdot \frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \frac{1}{\frac{t}{k} \cdot \frac{t}{k}}}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\end{array}
\end{array}
if k < 1.29999999999999992e-108Initial program 36.3%
Simplified36.3%
+-commutative36.3%
associate-+l-41.5%
metadata-eval41.5%
--rgt-identity41.5%
unpow241.5%
clear-num41.5%
clear-num41.5%
frac-times41.5%
metadata-eval41.5%
Applied egg-rr41.5%
add-cube-cbrt41.5%
pow341.5%
cbrt-prod41.5%
cbrt-div41.5%
rem-cbrt-cube59.6%
cbrt-prod71.2%
pow271.2%
Applied egg-rr71.2%
if 1.29999999999999992e-108 < k Initial program 32.8%
Simplified42.1%
add-log-exp30.9%
exp-prod28.8%
Applied egg-rr28.8%
Taylor expanded in k around inf 72.4%
associate-/r*72.5%
Simplified72.5%
*-un-lft-identity72.5%
div-inv72.5%
pow-flip73.5%
metadata-eval73.5%
Applied egg-rr73.5%
*-lft-identity73.5%
Simplified73.5%
Final simplification72.1%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= l 5.1e-204)
(/ (/ 2.0 (pow (/ k t) 2.0)) (* t_1 (pow (/ t (pow (cbrt l) 2.0)) 3.0)))
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (l <= 5.1e-204) {
tmp = (2.0 / pow((k / t), 2.0)) / (t_1 * pow((t / pow(cbrt(l), 2.0)), 3.0));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (l <= 5.1e-204) {
tmp = (2.0 / Math.pow((k / t), 2.0)) / (t_1 * Math.pow((t / Math.pow(Math.cbrt(l), 2.0)), 3.0));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (l <= 5.1e-204) tmp = Float64(Float64(2.0 / (Float64(k / t) ^ 2.0)) / Float64(t_1 * (Float64(t / (cbrt(l) ^ 2.0)) ^ 3.0))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, 5.1e-204], N[(N[(2.0 / N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$1 * N[Power[N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;\ell \leq 5.1 \cdot 10^{-204}:\\
\;\;\;\;\frac{\frac{2}{{\left(\frac{k}{t}\right)}^{2}}}{t\_1 \cdot {\left(\frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\end{array}
\end{array}
if l < 5.10000000000000027e-204Initial program 32.0%
*-commutative32.0%
associate-/r*32.0%
Simplified39.3%
add-cube-cbrt39.2%
associate-*l*39.2%
cbrt-div39.3%
rem-cbrt-cube39.3%
cbrt-prod39.2%
pow239.2%
pow239.2%
cbrt-div39.2%
rem-cbrt-cube52.9%
cbrt-prod62.9%
pow262.9%
Applied egg-rr62.9%
unpow262.9%
cube-mult62.9%
Simplified62.9%
if 5.10000000000000027e-204 < l Initial program 38.8%
Simplified45.6%
add-log-exp30.4%
exp-prod33.9%
Applied egg-rr33.9%
Taylor expanded in k around inf 76.7%
associate-/r*76.8%
Simplified76.8%
*-un-lft-identity76.8%
div-inv76.8%
pow-flip76.8%
metadata-eval76.8%
Applied egg-rr76.8%
*-lft-identity76.8%
Simplified76.8%
Final simplification69.0%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= l 8.2e-204)
(/
2.0
(*
(/ 1.0 (* (/ t k) (/ t k)))
(* t_1 (pow (/ t (pow (cbrt l) 2.0)) 3.0))))
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (l <= 8.2e-204) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * pow((t / pow(cbrt(l), 2.0)), 3.0)));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (l <= 8.2e-204) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * Math.pow((t / Math.pow(Math.cbrt(l), 2.0)), 3.0)));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (l <= 8.2e-204) tmp = Float64(2.0 / Float64(Float64(1.0 / Float64(Float64(t / k) * Float64(t / k))) * Float64(t_1 * (Float64(t / (cbrt(l) ^ 2.0)) ^ 3.0)))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); end return tmp end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, 8.2e-204], N[(2.0 / N[(N[(1.0 / N[(N[(t / k), $MachinePrecision] * N[(t / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[Power[N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;\ell \leq 8.2 \cdot 10^{-204}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{t}{k} \cdot \frac{t}{k}} \cdot \left(t\_1 \cdot {\left(\frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\end{array}
\end{array}
if l < 8.2000000000000002e-204Initial program 32.0%
Simplified32.0%
+-commutative32.0%
associate-+l-39.4%
metadata-eval39.4%
--rgt-identity39.4%
unpow239.4%
clear-num39.4%
clear-num39.4%
frac-times39.3%
metadata-eval39.3%
Applied egg-rr39.3%
add-cube-cbrt39.2%
associate-*l*39.2%
cbrt-div39.3%
rem-cbrt-cube39.3%
cbrt-prod39.2%
pow239.2%
pow239.2%
cbrt-div39.2%
rem-cbrt-cube52.9%
cbrt-prod62.9%
pow262.9%
Applied egg-rr62.9%
unpow262.9%
cube-mult62.9%
Simplified62.9%
if 8.2000000000000002e-204 < l Initial program 38.8%
Simplified45.6%
add-log-exp30.4%
exp-prod33.9%
Applied egg-rr33.9%
Taylor expanded in k around inf 76.7%
associate-/r*76.8%
Simplified76.8%
*-un-lft-identity76.8%
div-inv76.8%
pow-flip76.8%
metadata-eval76.8%
Applied egg-rr76.8%
*-lft-identity76.8%
Simplified76.8%
Final simplification69.0%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= l 1.4e-204)
(/
2.0
(* (/ 1.0 (* (/ t k) (/ t k))) (* t_1 (pow (/ (pow t 1.5) l) 2.0))))
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (l <= 1.4e-204) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * pow((pow(t, 1.5) / l), 2.0)));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: t_1
real(8) :: tmp
t_1 = sin(k) * tan(k)
if (l <= 1.4d-204) then
tmp = 2.0d0 / ((1.0d0 / ((t / k) * (t / k))) * (t_1 * (((t ** 1.5d0) / l) ** 2.0d0)))
else
tmp = (l * l) * ((2.0d0 * (k ** (-2.0d0))) / (t * t_1))
end if
code = tmp
end function
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (l <= 1.4e-204) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * Math.pow((Math.pow(t, 1.5) / l), 2.0)));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
def code(t, l, k): t_1 = math.sin(k) * math.tan(k) tmp = 0 if l <= 1.4e-204: tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * math.pow((math.pow(t, 1.5) / l), 2.0))) else: tmp = (l * l) * ((2.0 * math.pow(k, -2.0)) / (t * t_1)) return tmp
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (l <= 1.4e-204) tmp = Float64(2.0 / Float64(Float64(1.0 / Float64(Float64(t / k) * Float64(t / k))) * Float64(t_1 * (Float64((t ^ 1.5) / l) ^ 2.0)))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); end return tmp end
function tmp_2 = code(t, l, k) t_1 = sin(k) * tan(k); tmp = 0.0; if (l <= 1.4e-204) tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * (((t ^ 1.5) / l) ^ 2.0))); else tmp = (l * l) * ((2.0 * (k ^ -2.0)) / (t * t_1)); end tmp_2 = tmp; end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, 1.4e-204], N[(2.0 / N[(N[(1.0 / N[(N[(t / k), $MachinePrecision] * N[(t / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[Power[N[(N[Power[t, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;\ell \leq 1.4 \cdot 10^{-204}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{t}{k} \cdot \frac{t}{k}} \cdot \left(t\_1 \cdot {\left(\frac{{t}^{1.5}}{\ell}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\end{array}
\end{array}
if l < 1.4e-204Initial program 32.0%
Simplified32.0%
+-commutative32.0%
associate-+l-39.4%
metadata-eval39.4%
--rgt-identity39.4%
unpow239.4%
clear-num39.4%
clear-num39.4%
frac-times39.3%
metadata-eval39.3%
Applied egg-rr39.3%
add-sqr-sqrt19.7%
pow219.7%
sqrt-div19.7%
sqrt-pow125.4%
metadata-eval25.4%
sqrt-prod5.6%
add-sqr-sqrt32.3%
Applied egg-rr32.3%
if 1.4e-204 < l Initial program 38.8%
Simplified45.6%
add-log-exp30.4%
exp-prod33.9%
Applied egg-rr33.9%
Taylor expanded in k around inf 76.7%
associate-/r*76.8%
Simplified76.8%
*-un-lft-identity76.8%
div-inv76.8%
pow-flip76.8%
metadata-eval76.8%
Applied egg-rr76.8%
*-lft-identity76.8%
Simplified76.8%
Final simplification51.8%
(FPCore (t l k) :precision binary64 (if (<= l 9.8e-205) (/ (/ 2.0 (pow (/ k t) 2.0)) (* (pow k 2.0) (pow (/ (pow t 1.5) l) 2.0))) (* (* l l) (/ (* 2.0 (pow k -2.0)) (* t (* (sin k) (tan k)))))))
double code(double t, double l, double k) {
double tmp;
if (l <= 9.8e-205) {
tmp = (2.0 / pow((k / t), 2.0)) / (pow(k, 2.0) * pow((pow(t, 1.5) / l), 2.0));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * (sin(k) * tan(k))));
}
return tmp;
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (l <= 9.8d-205) then
tmp = (2.0d0 / ((k / t) ** 2.0d0)) / ((k ** 2.0d0) * (((t ** 1.5d0) / l) ** 2.0d0))
else
tmp = (l * l) * ((2.0d0 * (k ** (-2.0d0))) / (t * (sin(k) * tan(k))))
end if
code = tmp
end function
public static double code(double t, double l, double k) {
double tmp;
if (l <= 9.8e-205) {
tmp = (2.0 / Math.pow((k / t), 2.0)) / (Math.pow(k, 2.0) * Math.pow((Math.pow(t, 1.5) / l), 2.0));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * (Math.sin(k) * Math.tan(k))));
}
return tmp;
}
def code(t, l, k): tmp = 0 if l <= 9.8e-205: tmp = (2.0 / math.pow((k / t), 2.0)) / (math.pow(k, 2.0) * math.pow((math.pow(t, 1.5) / l), 2.0)) else: tmp = (l * l) * ((2.0 * math.pow(k, -2.0)) / (t * (math.sin(k) * math.tan(k)))) return tmp
function code(t, l, k) tmp = 0.0 if (l <= 9.8e-205) tmp = Float64(Float64(2.0 / (Float64(k / t) ^ 2.0)) / Float64((k ^ 2.0) * (Float64((t ^ 1.5) / l) ^ 2.0))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * Float64(sin(k) * tan(k))))); end return tmp end
function tmp_2 = code(t, l, k) tmp = 0.0; if (l <= 9.8e-205) tmp = (2.0 / ((k / t) ^ 2.0)) / ((k ^ 2.0) * (((t ^ 1.5) / l) ^ 2.0)); else tmp = (l * l) * ((2.0 * (k ^ -2.0)) / (t * (sin(k) * tan(k)))); end tmp_2 = tmp; end
code[t_, l_, k_] := If[LessEqual[l, 9.8e-205], N[(N[(2.0 / N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[Power[N[(N[Power[t, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\ell \leq 9.8 \cdot 10^{-205}:\\
\;\;\;\;\frac{\frac{2}{{\left(\frac{k}{t}\right)}^{2}}}{{k}^{2} \cdot {\left(\frac{{t}^{1.5}}{\ell}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot \left(\sin k \cdot \tan k\right)}\\
\end{array}
\end{array}
if l < 9.7999999999999995e-205Initial program 32.0%
*-commutative32.0%
associate-/r*32.0%
Simplified39.3%
add-sqr-sqrt19.7%
pow219.7%
sqrt-div19.7%
sqrt-pow125.4%
metadata-eval25.4%
sqrt-prod5.6%
add-sqr-sqrt32.3%
Applied egg-rr32.2%
Taylor expanded in k around 0 26.8%
if 9.7999999999999995e-205 < l Initial program 38.8%
Simplified45.6%
add-log-exp30.4%
exp-prod33.9%
Applied egg-rr33.9%
Taylor expanded in k around inf 76.7%
associate-/r*76.8%
Simplified76.8%
*-un-lft-identity76.8%
div-inv76.8%
pow-flip76.8%
metadata-eval76.8%
Applied egg-rr76.8%
*-lft-identity76.8%
Simplified76.8%
Final simplification48.7%
(FPCore (t l k)
:precision binary64
(let* ((t_1 (* (sin k) (tan k))))
(if (<= l 5e-205)
(/
2.0
(* (/ 1.0 (* (/ t k) (/ t k))) (* t_1 (* (/ (pow t 2.0) l) (/ t l)))))
(* (* l l) (/ (* 2.0 (pow k -2.0)) (* t t_1))))))
double code(double t, double l, double k) {
double t_1 = sin(k) * tan(k);
double tmp;
if (l <= 5e-205) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * ((pow(t, 2.0) / l) * (t / l))));
} else {
tmp = (l * l) * ((2.0 * pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: t_1
real(8) :: tmp
t_1 = sin(k) * tan(k)
if (l <= 5d-205) then
tmp = 2.0d0 / ((1.0d0 / ((t / k) * (t / k))) * (t_1 * (((t ** 2.0d0) / l) * (t / l))))
else
tmp = (l * l) * ((2.0d0 * (k ** (-2.0d0))) / (t * t_1))
end if
code = tmp
end function
public static double code(double t, double l, double k) {
double t_1 = Math.sin(k) * Math.tan(k);
double tmp;
if (l <= 5e-205) {
tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * ((Math.pow(t, 2.0) / l) * (t / l))));
} else {
tmp = (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * t_1));
}
return tmp;
}
def code(t, l, k): t_1 = math.sin(k) * math.tan(k) tmp = 0 if l <= 5e-205: tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * ((math.pow(t, 2.0) / l) * (t / l)))) else: tmp = (l * l) * ((2.0 * math.pow(k, -2.0)) / (t * t_1)) return tmp
function code(t, l, k) t_1 = Float64(sin(k) * tan(k)) tmp = 0.0 if (l <= 5e-205) tmp = Float64(2.0 / Float64(Float64(1.0 / Float64(Float64(t / k) * Float64(t / k))) * Float64(t_1 * Float64(Float64((t ^ 2.0) / l) * Float64(t / l))))); else tmp = Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * t_1))); end return tmp end
function tmp_2 = code(t, l, k) t_1 = sin(k) * tan(k); tmp = 0.0; if (l <= 5e-205) tmp = 2.0 / ((1.0 / ((t / k) * (t / k))) * (t_1 * (((t ^ 2.0) / l) * (t / l)))); else tmp = (l * l) * ((2.0 * (k ^ -2.0)) / (t * t_1)); end tmp_2 = tmp; end
code[t_, l_, k_] := Block[{t$95$1 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[l, 5e-205], N[(2.0 / N[(N[(1.0 / N[(N[(t / k), $MachinePrecision] * N[(t / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[(N[Power[t, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sin k \cdot \tan k\\
\mathbf{if}\;\ell \leq 5 \cdot 10^{-205}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{t}{k} \cdot \frac{t}{k}} \cdot \left(t\_1 \cdot \left(\frac{{t}^{2}}{\ell} \cdot \frac{t}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot t\_1}\\
\end{array}
\end{array}
if l < 5.00000000000000001e-205Initial program 32.0%
Simplified32.0%
+-commutative32.0%
associate-+l-39.4%
metadata-eval39.4%
--rgt-identity39.4%
unpow239.4%
clear-num39.4%
clear-num39.4%
frac-times39.3%
metadata-eval39.3%
Applied egg-rr39.3%
unpow339.3%
times-frac55.3%
pow255.3%
Applied egg-rr55.3%
if 5.00000000000000001e-205 < l Initial program 38.8%
Simplified45.6%
add-log-exp30.4%
exp-prod33.9%
Applied egg-rr33.9%
Taylor expanded in k around inf 76.7%
associate-/r*76.8%
Simplified76.8%
*-un-lft-identity76.8%
div-inv76.8%
pow-flip76.8%
metadata-eval76.8%
Applied egg-rr76.8%
*-lft-identity76.8%
Simplified76.8%
Final simplification64.7%
(FPCore (t l k) :precision binary64 (* (* l l) (/ (* 2.0 (pow k -2.0)) (* t (* (sin k) (tan k))))))
double code(double t, double l, double k) {
return (l * l) * ((2.0 * pow(k, -2.0)) / (t * (sin(k) * tan(k))));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = (l * l) * ((2.0d0 * (k ** (-2.0d0))) / (t * (sin(k) * tan(k))))
end function
public static double code(double t, double l, double k) {
return (l * l) * ((2.0 * Math.pow(k, -2.0)) / (t * (Math.sin(k) * Math.tan(k))));
}
def code(t, l, k): return (l * l) * ((2.0 * math.pow(k, -2.0)) / (t * (math.sin(k) * math.tan(k))))
function code(t, l, k) return Float64(Float64(l * l) * Float64(Float64(2.0 * (k ^ -2.0)) / Float64(t * Float64(sin(k) * tan(k))))) end
function tmp = code(t, l, k) tmp = (l * l) * ((2.0 * (k ^ -2.0)) / (t * (sin(k) * tan(k)))); end
code[t_, l_, k_] := N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision] / N[(t * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\ell \cdot \ell\right) \cdot \frac{2 \cdot {k}^{-2}}{t \cdot \left(\sin k \cdot \tan k\right)}
\end{array}
Initial program 35.0%
Simplified42.1%
add-log-exp27.9%
exp-prod30.8%
Applied egg-rr30.8%
Taylor expanded in k around inf 71.0%
associate-/r*71.1%
Simplified71.1%
*-un-lft-identity71.1%
div-inv71.1%
pow-flip71.5%
metadata-eval71.5%
Applied egg-rr71.5%
*-lft-identity71.5%
Simplified71.5%
Final simplification71.5%
(FPCore (t l k) :precision binary64 (* (* l l) (/ (/ 2.0 (* k k)) (* t (* (sin k) (tan k))))))
double code(double t, double l, double k) {
return (l * l) * ((2.0 / (k * k)) / (t * (sin(k) * tan(k))));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = (l * l) * ((2.0d0 / (k * k)) / (t * (sin(k) * tan(k))))
end function
public static double code(double t, double l, double k) {
return (l * l) * ((2.0 / (k * k)) / (t * (Math.sin(k) * Math.tan(k))));
}
def code(t, l, k): return (l * l) * ((2.0 / (k * k)) / (t * (math.sin(k) * math.tan(k))))
function code(t, l, k) return Float64(Float64(l * l) * Float64(Float64(2.0 / Float64(k * k)) / Float64(t * Float64(sin(k) * tan(k))))) end
function tmp = code(t, l, k) tmp = (l * l) * ((2.0 / (k * k)) / (t * (sin(k) * tan(k)))); end
code[t_, l_, k_] := N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / N[(k * k), $MachinePrecision]), $MachinePrecision] / N[(t * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{k \cdot k}}{t \cdot \left(\sin k \cdot \tan k\right)}
\end{array}
Initial program 35.0%
Simplified42.1%
add-log-exp27.9%
exp-prod30.8%
Applied egg-rr30.8%
Taylor expanded in k around inf 71.0%
associate-/r*71.1%
Simplified71.1%
unpow271.1%
Applied egg-rr71.1%
Final simplification71.1%
(FPCore (t l k) :precision binary64 (* (* l l) (/ (/ 2.0 (pow k 2.0)) (* t (* k (tan k))))))
double code(double t, double l, double k) {
return (l * l) * ((2.0 / pow(k, 2.0)) / (t * (k * tan(k))));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = (l * l) * ((2.0d0 / (k ** 2.0d0)) / (t * (k * tan(k))))
end function
public static double code(double t, double l, double k) {
return (l * l) * ((2.0 / Math.pow(k, 2.0)) / (t * (k * Math.tan(k))));
}
def code(t, l, k): return (l * l) * ((2.0 / math.pow(k, 2.0)) / (t * (k * math.tan(k))))
function code(t, l, k) return Float64(Float64(l * l) * Float64(Float64(2.0 / (k ^ 2.0)) / Float64(t * Float64(k * tan(k))))) end
function tmp = code(t, l, k) tmp = (l * l) * ((2.0 / (k ^ 2.0)) / (t * (k * tan(k)))); end
code[t_, l_, k_] := N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\ell \cdot \ell\right) \cdot \frac{\frac{2}{{k}^{2}}}{t \cdot \left(k \cdot \tan k\right)}
\end{array}
Initial program 35.0%
Simplified42.1%
add-log-exp27.9%
exp-prod30.8%
Applied egg-rr30.8%
Taylor expanded in k around inf 71.0%
associate-/r*71.1%
Simplified71.1%
Taylor expanded in k around 0 61.7%
Final simplification61.7%
(FPCore (t l k) :precision binary64 (if (<= k 6.1e+38) (/ (* 2.0 (pow l 2.0)) 0.0) 0.0))
double code(double t, double l, double k) {
double tmp;
if (k <= 6.1e+38) {
tmp = (2.0 * pow(l, 2.0)) / 0.0;
} else {
tmp = 0.0;
}
return tmp;
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 6.1d+38) then
tmp = (2.0d0 * (l ** 2.0d0)) / 0.0d0
else
tmp = 0.0d0
end if
code = tmp
end function
public static double code(double t, double l, double k) {
double tmp;
if (k <= 6.1e+38) {
tmp = (2.0 * Math.pow(l, 2.0)) / 0.0;
} else {
tmp = 0.0;
}
return tmp;
}
def code(t, l, k): tmp = 0 if k <= 6.1e+38: tmp = (2.0 * math.pow(l, 2.0)) / 0.0 else: tmp = 0.0 return tmp
function code(t, l, k) tmp = 0.0 if (k <= 6.1e+38) tmp = Float64(Float64(2.0 * (l ^ 2.0)) / 0.0); else tmp = 0.0; end return tmp end
function tmp_2 = code(t, l, k) tmp = 0.0; if (k <= 6.1e+38) tmp = (2.0 * (l ^ 2.0)) / 0.0; else tmp = 0.0; end tmp_2 = tmp; end
code[t_, l_, k_] := If[LessEqual[k, 6.1e+38], N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / 0.0), $MachinePrecision], 0.0]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;k \leq 6.1 \cdot 10^{+38}:\\
\;\;\;\;\frac{2 \cdot {\ell}^{2}}{0}\\
\mathbf{else}:\\
\;\;\;\;0\\
\end{array}
\end{array}
if k < 6.0999999999999999e38Initial program 34.8%
Simplified40.9%
add-log-exp23.6%
exp-prod30.4%
Applied egg-rr30.4%
Taylor expanded in t around 0 22.6%
associate-*l/22.6%
pow222.6%
metadata-eval22.6%
Applied egg-rr22.6%
if 6.0999999999999999e38 < k Initial program 35.3%
Simplified45.4%
add-log-exp39.8%
exp-prod32.1%
Applied egg-rr32.1%
Taylor expanded in t around 0 4.2%
add-cube-cbrt4.2%
pow24.2%
clear-num4.2%
metadata-eval4.2%
metadata-eval4.2%
metadata-eval4.2%
cbrt-div4.2%
metadata-eval4.2%
metadata-eval4.2%
clear-num4.2%
metadata-eval4.2%
metadata-eval4.2%
metadata-eval4.2%
cbrt-div4.2%
metadata-eval4.2%
metadata-eval4.2%
Applied egg-rr4.2%
pow-plus4.2%
metadata-eval4.2%
cube-div4.2%
metadata-eval4.2%
rem-cube-cbrt4.2%
unpow-14.2%
pow-base-050.6%
Simplified50.6%
Taylor expanded in l around 0 51.4%
(FPCore (t l k) :precision binary64 (* (* l l) (/ 2.0 (* t (pow k 4.0)))))
double code(double t, double l, double k) {
return (l * l) * (2.0 / (t * pow(k, 4.0)));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = (l * l) * (2.0d0 / (t * (k ** 4.0d0)))
end function
public static double code(double t, double l, double k) {
return (l * l) * (2.0 / (t * Math.pow(k, 4.0)));
}
def code(t, l, k): return (l * l) * (2.0 / (t * math.pow(k, 4.0)))
function code(t, l, k) return Float64(Float64(l * l) * Float64(2.0 / Float64(t * (k ^ 4.0)))) end
function tmp = code(t, l, k) tmp = (l * l) * (2.0 / (t * (k ^ 4.0))); end
code[t_, l_, k_] := N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\ell \cdot \ell\right) \cdot \frac{2}{t \cdot {k}^{4}}
\end{array}
Initial program 35.0%
Simplified42.1%
Taylor expanded in k around 0 60.8%
Final simplification60.8%
(FPCore (t l k) :precision binary64 0.0)
double code(double t, double l, double k) {
return 0.0;
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 0.0d0
end function
public static double code(double t, double l, double k) {
return 0.0;
}
def code(t, l, k): return 0.0
function code(t, l, k) return 0.0 end
function tmp = code(t, l, k) tmp = 0.0; end
code[t_, l_, k_] := 0.0
\begin{array}{l}
\\
0
\end{array}
Initial program 35.0%
Simplified42.1%
add-log-exp27.9%
exp-prod30.8%
Applied egg-rr30.8%
Taylor expanded in t around 0 17.7%
add-cube-cbrt17.7%
pow217.7%
clear-num17.7%
metadata-eval17.7%
metadata-eval17.7%
metadata-eval17.7%
cbrt-div17.7%
metadata-eval17.7%
metadata-eval17.7%
clear-num17.7%
metadata-eval17.7%
metadata-eval17.7%
metadata-eval17.7%
cbrt-div17.7%
metadata-eval17.7%
metadata-eval17.7%
Applied egg-rr17.7%
pow-plus17.7%
metadata-eval17.7%
cube-div17.7%
metadata-eval17.7%
rem-cube-cbrt17.7%
unpow-117.7%
pow-base-028.1%
Simplified28.1%
Taylor expanded in l around 0 29.1%
herbie shell --seed 2024141
(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))))