
(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}
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (cbrt l) 2.0)))
(if (<= k_m 4.6e-92)
(pow (/ (/ t_1 t) (pow (cbrt k_m) 2.0)) 3.0)
(if (or (<= k_m 3.85e+28) (not (<= k_m 1.28e+90)))
(/
2.0
(pow
(*
(/ t t_1)
(cbrt (* (+ 2.0 (pow (/ k_m t) 2.0)) (* (sin k_m) (tan k_m)))))
3.0))
(/
2.0
(/
(/ (* (* t (pow (sin k_m) 2.0)) (pow k_m 2.0)) (* (cos k_m) l))
l))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow(cbrt(l), 2.0);
double tmp;
if (k_m <= 4.6e-92) {
tmp = pow(((t_1 / t) / pow(cbrt(k_m), 2.0)), 3.0);
} else if ((k_m <= 3.85e+28) || !(k_m <= 1.28e+90)) {
tmp = 2.0 / pow(((t / t_1) * cbrt(((2.0 + pow((k_m / t), 2.0)) * (sin(k_m) * tan(k_m))))), 3.0);
} else {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) * pow(k_m, 2.0)) / (cos(k_m) * l)) / l);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow(Math.cbrt(l), 2.0);
double tmp;
if (k_m <= 4.6e-92) {
tmp = Math.pow(((t_1 / t) / Math.pow(Math.cbrt(k_m), 2.0)), 3.0);
} else if ((k_m <= 3.85e+28) || !(k_m <= 1.28e+90)) {
tmp = 2.0 / Math.pow(((t / t_1) * Math.cbrt(((2.0 + Math.pow((k_m / t), 2.0)) * (Math.sin(k_m) * Math.tan(k_m))))), 3.0);
} else {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) * Math.pow(k_m, 2.0)) / (Math.cos(k_m) * l)) / l);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = cbrt(l) ^ 2.0 tmp = 0.0 if (k_m <= 4.6e-92) tmp = Float64(Float64(t_1 / t) / (cbrt(k_m) ^ 2.0)) ^ 3.0; elseif ((k_m <= 3.85e+28) || !(k_m <= 1.28e+90)) tmp = Float64(2.0 / (Float64(Float64(t / t_1) * cbrt(Float64(Float64(2.0 + (Float64(k_m / t) ^ 2.0)) * Float64(sin(k_m) * tan(k_m))))) ^ 3.0)); else tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) * (k_m ^ 2.0)) / Float64(cos(k_m) * l)) / l)); end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[k$95$m, 4.6e-92], N[Power[N[(N[(t$95$1 / t), $MachinePrecision] / N[Power[N[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision], If[Or[LessEqual[k$95$m, 3.85e+28], N[Not[LessEqual[k$95$m, 1.28e+90]], $MachinePrecision]], N[(2.0 / N[Power[N[(N[(t / t$95$1), $MachinePrecision] * N[Power[N[(N[(2.0 + N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[k$95$m], $MachinePrecision] * l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\sqrt[3]{\ell}\right)}^{2}\\
\mathbf{if}\;k\_m \leq 4.6 \cdot 10^{-92}:\\
\;\;\;\;{\left(\frac{\frac{t\_1}{t}}{{\left(\sqrt[3]{k\_m}\right)}^{2}}\right)}^{3}\\
\mathbf{elif}\;k\_m \leq 3.85 \cdot 10^{+28} \lor \neg \left(k\_m \leq 1.28 \cdot 10^{+90}\right):\\
\;\;\;\;\frac{2}{{\left(\frac{t}{t\_1} \cdot \sqrt[3]{\left(2 + {\left(\frac{k\_m}{t}\right)}^{2}\right) \cdot \left(\sin k\_m \cdot \tan k\_m\right)}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{\left(t \cdot {\sin k\_m}^{2}\right) \cdot {k\_m}^{2}}{\cos k\_m \cdot \ell}}{\ell}}\\
\end{array}
\end{array}
if k < 4.60000000000000032e-92Initial program 52.9%
associate-/r*52.9%
sqr-neg52.9%
associate-*l*46.8%
sqr-neg46.8%
associate-/r*52.7%
associate-+l+52.7%
unpow252.7%
times-frac40.2%
sqr-neg40.2%
times-frac52.7%
unpow252.7%
Simplified52.7%
Taylor expanded in k around 0 45.6%
*-commutative45.6%
associate-/r*44.8%
Simplified44.8%
unpow244.8%
Applied egg-rr44.8%
expm1-log1p-u34.7%
expm1-udef34.1%
div-inv34.1%
pow-flip34.1%
metadata-eval34.1%
Applied egg-rr34.1%
expm1-def34.7%
expm1-log1p44.8%
Simplified44.8%
add-cube-cbrt44.8%
pow244.8%
cbrt-div44.8%
metadata-eval44.8%
pow-flip44.8%
div-inv44.8%
cbrt-div44.8%
unpow244.8%
cbrt-prod44.8%
unpow244.8%
unpow344.8%
add-cbrt-cube44.8%
cbrt-prod44.7%
pow244.7%
cbrt-div44.7%
Applied egg-rr78.3%
pow-plus78.3%
metadata-eval78.3%
Simplified78.3%
if 4.60000000000000032e-92 < k < 3.8499999999999999e28 or 1.27999999999999995e90 < k Initial program 54.0%
associate-/r*60.3%
+-commutative60.3%
associate-+r+60.3%
metadata-eval60.3%
associate-*r*60.2%
add-cube-cbrt60.1%
pow360.1%
Applied egg-rr77.4%
if 3.8499999999999999e28 < k < 1.27999999999999995e90Initial program 68.4%
associate-/r*68.4%
+-commutative68.4%
associate-+r+68.4%
metadata-eval68.4%
associate-*r*68.4%
*-commutative68.4%
associate-*l/68.4%
associate-*r/68.4%
Applied egg-rr68.4%
Taylor expanded in k around inf 95.5%
Final simplification78.8%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 1.02e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(/
2.0
(*
(*
(tan k_m)
(pow (* (cbrt (sin k_m)) (* (/ t (cbrt l)) (cbrt (/ 1.0 l)))) 3.0))
(+ 1.0 (+ 1.0 t_1))))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 1.02e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((tan(k_m) * pow((cbrt(sin(k_m)) * ((t / cbrt(l)) * cbrt((1.0 / l)))), 3.0)) * (1.0 + (1.0 + t_1)));
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 1.02e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((Math.tan(k_m) * Math.pow((Math.cbrt(Math.sin(k_m)) * ((t / Math.cbrt(l)) * Math.cbrt((1.0 / l)))), 3.0)) * (1.0 + (1.0 + t_1)));
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 1.02e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); else tmp = Float64(2.0 / Float64(Float64(tan(k_m) * (Float64(cbrt(sin(k_m)) * Float64(Float64(t / cbrt(l)) * cbrt(Float64(1.0 / l)))) ^ 3.0)) * Float64(1.0 + Float64(1.0 + t_1)))); end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 1.02e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k$95$m], $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision] * N[(N[(t / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(1.0 / l), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 1.02 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k\_m \cdot {\left(\sqrt[3]{\sin k\_m} \cdot \left(\frac{t}{\sqrt[3]{\ell}} \cdot \sqrt[3]{\frac{1}{\ell}}\right)\right)}^{3}\right) \cdot \left(1 + \left(1 + t\_1\right)\right)}\\
\end{array}
\end{array}
if t < 1.02000000000000006e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 1.02000000000000006e-76 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t Initial program 57.6%
associate-/r*60.8%
div-inv60.8%
add-cube-cbrt60.8%
associate-*l*60.8%
pow260.8%
cbrt-div60.8%
rem-cbrt-cube60.8%
cbrt-div60.8%
rem-cbrt-cube84.7%
Applied egg-rr84.7%
add-cube-cbrt84.8%
pow384.9%
Applied egg-rr93.8%
Final simplification72.9%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 1.45e-77)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(*
(tan k_m)
(pow (* (cbrt (sin k_m)) (/ t (pow (cbrt l) 2.0))) 3.0))))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 1.45e-77) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * pow((cbrt(sin(k_m)) * (t / pow(cbrt(l), 2.0))), 3.0)));
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 1.45e-77) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * Math.pow((Math.cbrt(Math.sin(k_m)) * (t / Math.pow(Math.cbrt(l), 2.0))), 3.0)));
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 1.45e-77) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); else tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * (Float64(cbrt(sin(k_m)) * Float64(t / (cbrt(l) ^ 2.0))) ^ 3.0)))); end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 1.45e-77], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision] * N[(t / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 1.45 \cdot 10^{-77}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot {\left(\sqrt[3]{\sin k\_m} \cdot \frac{t}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 1.4499999999999999e-77Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 1.4499999999999999e-77 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t Initial program 57.6%
associate-/r*60.8%
add-cube-cbrt60.8%
pow360.8%
*-commutative60.8%
cbrt-prod60.8%
associate-/r*57.6%
cbrt-div57.6%
rem-cbrt-cube73.2%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
Final simplification72.9%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 1.5e-77)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(*
(tan k_m)
(pow (* (* t (cbrt (sin k_m))) (pow (cbrt l) -2.0)) 3.0))))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 1.5e-77) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * pow(((t * cbrt(sin(k_m))) * pow(cbrt(l), -2.0)), 3.0)));
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 1.5e-77) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * Math.pow(((t * Math.cbrt(Math.sin(k_m))) * Math.pow(Math.cbrt(l), -2.0)), 3.0)));
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 1.5e-77) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); else tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * (Float64(Float64(t * cbrt(sin(k_m))) * (cbrt(l) ^ -2.0)) ^ 3.0)))); end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 1.5e-77], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Power[N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 1.5 \cdot 10^{-77}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot {\left(\left(t \cdot \sqrt[3]{\sin k\_m}\right) \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 1.50000000000000008e-77Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 1.50000000000000008e-77 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t Initial program 57.6%
associate-/r*60.8%
add-cube-cbrt60.8%
pow360.8%
*-commutative60.8%
cbrt-prod60.8%
associate-/r*57.6%
cbrt-div57.6%
rem-cbrt-cube73.2%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
expm1-log1p-u57.8%
expm1-udef48.2%
div-inv48.2%
pow-flip48.2%
metadata-eval48.2%
Applied egg-rr48.2%
expm1-def57.8%
expm1-log1p93.4%
associate-*r*93.5%
*-commutative93.5%
Simplified93.5%
Final simplification72.9%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 1.26e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(*
(tan k_m)
(pow (/ t (/ (pow (cbrt l) 2.0) (cbrt (sin k_m)))) 3.0))))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 1.26e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * pow((t / (pow(cbrt(l), 2.0) / cbrt(sin(k_m)))), 3.0)));
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 1.26e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * Math.pow((t / (Math.pow(Math.cbrt(l), 2.0) / Math.cbrt(Math.sin(k_m)))), 3.0)));
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 1.26e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); else tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * (Float64(t / Float64((cbrt(l) ^ 2.0) / cbrt(sin(k_m)))) ^ 3.0)))); end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 1.26e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[Power[N[(t / N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 1.26 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot {\left(\frac{t}{\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{\sqrt[3]{\sin k\_m}}}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 1.26e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 1.26e-76 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t Initial program 57.6%
associate-/r*60.8%
add-cube-cbrt60.8%
pow360.8%
*-commutative60.8%
cbrt-prod60.8%
associate-/r*57.6%
cbrt-div57.6%
rem-cbrt-cube73.2%
cbrt-prod93.5%
pow293.5%
Applied egg-rr93.5%
associate-*r/93.6%
Applied egg-rr93.6%
*-commutative93.6%
associate-/l*93.5%
Simplified93.5%
Final simplification72.9%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 2.15e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(if (<= t 9e+171)
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(* (tan k_m) (* (sin k_m) (pow (/ (pow t 1.5) l) 2.0)))))
(pow (/ (/ (pow (cbrt l) 2.0) t) (pow (cbrt k_m) 2.0)) 3.0))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 2.15e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 9e+171) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * (sin(k_m) * pow((pow(t, 1.5) / l), 2.0))));
} else {
tmp = pow(((pow(cbrt(l), 2.0) / t) / pow(cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 2.15e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 9e+171) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * (Math.sin(k_m) * Math.pow((Math.pow(t, 1.5) / l), 2.0))));
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) / t) / Math.pow(Math.cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 2.15e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); elseif (t <= 9e+171) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * Float64(sin(k_m) * (Float64((t ^ 1.5) / l) ^ 2.0))))); else tmp = Float64(Float64((cbrt(l) ^ 2.0) / t) / (cbrt(k_m) ^ 2.0)) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 2.15e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 9e+171], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[Power[N[(N[Power[t, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t), $MachinePrecision] / N[Power[N[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 2.15 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{elif}\;t \leq 9 \cdot 10^{+171}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot \left(\sin k\_m \cdot {\left(\frac{{t}^{1.5}}{\ell}\right)}^{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t}}{{\left(\sqrt[3]{k\_m}\right)}^{2}}\right)}^{3}\\
\end{array}
\end{array}
if t < 2.15e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 2.15e-76 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t < 8.99999999999999937e171Initial program 40.6%
associate-/r*42.5%
add-sqr-sqrt42.5%
pow242.5%
associate-/r*40.6%
sqrt-div40.6%
sqrt-pow166.0%
metadata-eval66.0%
sqrt-prod44.8%
add-sqr-sqrt94.9%
Applied egg-rr94.9%
if 8.99999999999999937e171 < t Initial program 68.6%
associate-/r*68.6%
sqr-neg68.6%
associate-*l*58.1%
sqr-neg58.1%
associate-/r*62.0%
associate-+l+62.0%
unpow262.0%
times-frac42.5%
sqr-neg42.5%
times-frac62.0%
unpow262.0%
Simplified62.0%
Taylor expanded in k around 0 58.1%
*-commutative58.1%
associate-/r*58.1%
Simplified58.1%
unpow258.1%
Applied egg-rr58.1%
expm1-log1p-u58.1%
expm1-udef58.1%
div-inv58.1%
pow-flip58.1%
metadata-eval58.1%
Applied egg-rr58.1%
expm1-def58.1%
expm1-log1p58.1%
Simplified58.1%
add-cube-cbrt58.1%
pow258.1%
cbrt-div58.1%
metadata-eval58.1%
pow-flip58.1%
div-inv58.1%
cbrt-div58.1%
unpow258.1%
cbrt-prod58.1%
unpow258.1%
unpow358.1%
add-cbrt-cube58.1%
cbrt-prod58.1%
pow258.1%
cbrt-div58.1%
Applied egg-rr88.3%
pow-plus88.3%
metadata-eval88.3%
Simplified88.3%
Final simplification72.4%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (+ 2.0 (pow (/ k_m t) 2.0))))
(if (<= t 4e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/ 1.0 (/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) t_1)))))
(if (<= t 7.2e+160)
(/
2.0
(* (* (sin k_m) (/ (pow (/ t (cbrt l)) 3.0) l)) (* (tan k_m) t_1)))
(pow (/ (/ (pow (cbrt l) 2.0) t) (pow (cbrt k_m) 2.0)) 3.0))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = 2.0 + pow((k_m / t), 2.0);
double tmp;
if (t <= 4e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * t_1))));
} else if (t <= 7.2e+160) {
tmp = 2.0 / ((sin(k_m) * (pow((t / cbrt(l)), 3.0) / l)) * (tan(k_m) * t_1));
} else {
tmp = pow(((pow(cbrt(l), 2.0) / t) / pow(cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = 2.0 + Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 4e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * t_1))));
} else if (t <= 7.2e+160) {
tmp = 2.0 / ((Math.sin(k_m) * (Math.pow((t / Math.cbrt(l)), 3.0) / l)) * (Math.tan(k_m) * t_1));
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) / t) / Math.pow(Math.cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(2.0 + (Float64(k_m / t) ^ 2.0)) tmp = 0.0 if (t <= 4e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * t_1))))); elseif (t <= 7.2e+160) tmp = Float64(2.0 / Float64(Float64(sin(k_m) * Float64((Float64(t / cbrt(l)) ^ 3.0) / l)) * Float64(tan(k_m) * t_1))); else tmp = Float64(Float64((cbrt(l) ^ 2.0) / t) / (cbrt(k_m) ^ 2.0)) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[(2.0 + N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t, 4e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 7.2e+160], N[(2.0 / N[(N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[N[(t / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t), $MachinePrecision] / N[Power[N[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := 2 + {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 4 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot t\_1\right)}}}\\
\mathbf{elif}\;t \leq 7.2 \cdot 10^{+160}:\\
\;\;\;\;\frac{2}{\left(\sin k\_m \cdot \frac{{\left(\frac{t}{\sqrt[3]{\ell}}\right)}^{3}}{\ell}\right) \cdot \left(\tan k\_m \cdot t\_1\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t}}{{\left(\sqrt[3]{k\_m}\right)}^{2}}\right)}^{3}\\
\end{array}
\end{array}
if t < 3.99999999999999971e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 3.99999999999999971e-76 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t < 7.20000000000000042e160Initial program 39.6%
associate-*l*39.6%
sqr-neg39.6%
sqr-neg39.6%
associate-/r*41.6%
distribute-rgt-in41.6%
unpow241.6%
times-frac41.1%
sqr-neg41.1%
times-frac41.6%
unpow241.6%
distribute-rgt-in41.6%
Simplified41.6%
add-cube-cbrt41.6%
pow341.6%
cbrt-div41.6%
rem-cbrt-cube88.8%
Applied egg-rr88.8%
if 7.20000000000000042e160 < t Initial program 67.5%
associate-/r*67.5%
sqr-neg67.5%
associate-*l*57.6%
sqr-neg57.6%
associate-/r*61.3%
associate-+l+61.3%
unpow261.3%
times-frac39.9%
sqr-neg39.9%
times-frac61.3%
unpow261.3%
Simplified61.3%
Taylor expanded in k around 0 57.6%
*-commutative57.6%
associate-/r*57.6%
Simplified57.6%
unpow257.6%
Applied egg-rr57.6%
expm1-log1p-u57.6%
expm1-udef57.6%
div-inv57.6%
pow-flip57.6%
metadata-eval57.6%
Applied egg-rr57.6%
expm1-def57.6%
expm1-log1p57.6%
Simplified57.6%
add-cube-cbrt57.6%
pow257.6%
cbrt-div57.6%
metadata-eval57.6%
pow-flip57.6%
div-inv57.6%
cbrt-div57.6%
unpow257.6%
cbrt-prod57.6%
unpow257.6%
unpow357.6%
add-cbrt-cube57.6%
cbrt-prod57.6%
pow257.6%
cbrt-div57.6%
Applied egg-rr89.0%
pow-plus89.0%
metadata-eval89.0%
Simplified89.0%
Final simplification72.0%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 4.9e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 6e+101)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(if (<= t 5.1e+160)
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(* (tan k_m) (* (sin k_m) (* (/ (pow t 2.0) l) (/ t l))))))
(pow (/ (/ (pow (cbrt l) 2.0) t) (pow (cbrt k_m) 2.0)) 3.0))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 4.9e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 6e+101) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 5.1e+160) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * (sin(k_m) * ((pow(t, 2.0) / l) * (t / l)))));
} else {
tmp = pow(((pow(cbrt(l), 2.0) / t) / pow(cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 4.9e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 6e+101) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 5.1e+160) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * (Math.sin(k_m) * ((Math.pow(t, 2.0) / l) * (t / l)))));
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) / t) / Math.pow(Math.cbrt(k_m), 2.0)), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 4.9e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 6e+101) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); elseif (t <= 5.1e+160) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * Float64(sin(k_m) * Float64(Float64((t ^ 2.0) / l) * Float64(t / l)))))); else tmp = Float64(Float64((cbrt(l) ^ 2.0) / t) / (cbrt(k_m) ^ 2.0)) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 4.9e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 6e+101], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.1e+160], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t), $MachinePrecision] / N[Power[N[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 4.9 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 6 \cdot 10^{+101}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{elif}\;t \leq 5.1 \cdot 10^{+160}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot \left(\sin k\_m \cdot \left(\frac{{t}^{2}}{\ell} \cdot \frac{t}{\ell}\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t}}{{\left(\sqrt[3]{k\_m}\right)}^{2}}\right)}^{3}\\
\end{array}
\end{array}
if t < 4.89999999999999972e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 4.89999999999999972e-76 < t < 5.99999999999999986e101Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.99999999999999986e101 < t < 5.1000000000000001e160Initial program 39.6%
unpow339.6%
times-frac78.5%
pow278.5%
Applied egg-rr78.5%
if 5.1000000000000001e160 < t Initial program 67.5%
associate-/r*67.5%
sqr-neg67.5%
associate-*l*57.6%
sqr-neg57.6%
associate-/r*61.3%
associate-+l+61.3%
unpow261.3%
times-frac39.9%
sqr-neg39.9%
times-frac61.3%
unpow261.3%
Simplified61.3%
Taylor expanded in k around 0 57.6%
*-commutative57.6%
associate-/r*57.6%
Simplified57.6%
unpow257.6%
Applied egg-rr57.6%
expm1-log1p-u57.6%
expm1-udef57.6%
div-inv57.6%
pow-flip57.6%
metadata-eval57.6%
Applied egg-rr57.6%
expm1-def57.6%
expm1-log1p57.6%
Simplified57.6%
add-cube-cbrt57.6%
pow257.6%
cbrt-div57.6%
metadata-eval57.6%
pow-flip57.6%
div-inv57.6%
cbrt-div57.6%
unpow257.6%
cbrt-prod57.6%
unpow257.6%
unpow357.6%
add-cbrt-cube57.6%
cbrt-prod57.6%
pow257.6%
cbrt-div57.6%
Applied egg-rr89.0%
pow-plus89.0%
metadata-eval89.0%
Simplified89.0%
Final simplification71.2%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(let* ((t_1 (pow (/ k_m t) 2.0)))
(if (<= t 3.2e-76)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/ l (* (tan k_m) (* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 t_1))))))
(if (<= t 5.1e+160)
(/
2.0
(*
(+ 1.0 (+ 1.0 t_1))
(* (tan k_m) (* (sin k_m) (* (/ (pow t 2.0) l) (/ t l))))))
(pow
(/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t)
3.0))))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double t_1 = pow((k_m / t), 2.0);
double tmp;
if (t <= 3.2e-76) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 5.1e+160) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (tan(k_m) * (sin(k_m) * ((pow(t, 2.0) / l) * (t / l)))));
} else {
tmp = pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double t_1 = Math.pow((k_m / t), 2.0);
double tmp;
if (t <= 3.2e-76) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + t_1)))));
} else if (t <= 5.1e+160) {
tmp = 2.0 / ((1.0 + (1.0 + t_1)) * (Math.tan(k_m) * (Math.sin(k_m) * ((Math.pow(t, 2.0) / l) * (t / l)))));
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) t_1 = Float64(k_m / t) ^ 2.0 tmp = 0.0 if (t <= 3.2e-76) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + t_1)))))); elseif (t <= 5.1e+160) tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_1)) * Float64(tan(k_m) * Float64(sin(k_m) * Float64(Float64((t ^ 2.0) / l) * Float64(t / l)))))); else tmp = Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision]
code[t_, l_, k$95$m_] := Block[{t$95$1 = N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]}, If[LessEqual[t, 3.2e-76], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.1e+160], N[(2.0 / N[(N[(1.0 + N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision]]]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
t_1 := {\left(\frac{k\_m}{t}\right)}^{2}\\
\mathbf{if}\;t \leq 3.2 \cdot 10^{-76}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + t\_1\right)\right)}}}\\
\mathbf{elif}\;t \leq 5.1 \cdot 10^{+160}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + t\_1\right)\right) \cdot \left(\tan k\_m \cdot \left(\sin k\_m \cdot \left(\frac{{t}^{2}}{\ell} \cdot \frac{t}{\ell}\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}\\
\end{array}
\end{array}
if t < 3.1999999999999998e-76Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 3.1999999999999998e-76 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t < 5.1000000000000001e160Initial program 39.6%
unpow339.6%
times-frac78.5%
pow278.5%
Applied egg-rr78.5%
if 5.1000000000000001e160 < t Initial program 67.5%
associate-/r*67.5%
sqr-neg67.5%
associate-*l*57.6%
sqr-neg57.6%
associate-/r*61.3%
associate-+l+61.3%
unpow261.3%
times-frac39.9%
sqr-neg39.9%
times-frac61.3%
unpow261.3%
Simplified61.3%
Taylor expanded in k around 0 57.6%
*-commutative57.6%
associate-/r*57.6%
Simplified57.6%
add-cube-cbrt57.6%
pow257.6%
div-inv54.5%
cbrt-prod54.5%
cbrt-div54.5%
unpow254.5%
cbrt-prod54.5%
unpow254.5%
unpow354.5%
add-cbrt-cube54.5%
pow-flip54.5%
metadata-eval54.5%
div-inv54.5%
Applied egg-rr62.9%
pow-plus62.9%
metadata-eval62.9%
associate-*l/62.9%
Simplified62.9%
pow1/362.9%
pow-pow50.1%
metadata-eval50.1%
Applied egg-rr50.1%
Final simplification66.2%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(if (<= t 1.65e-78)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 5.5e+102)
(/
2.0
(/
1.0
(/
l
(*
(tan k_m)
(* (/ (pow t 3.0) (/ l (sin k_m))) (+ 2.0 (pow (/ k_m t) 2.0)))))))
(pow (/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t) 3.0))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (t <= 1.65e-78) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (tan(k_m) * ((pow(t, 3.0) / (l / sin(k_m))) * (2.0 + pow((k_m / t), 2.0))))));
} else {
tmp = pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (t <= 1.65e-78) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 5.5e+102) {
tmp = 2.0 / (1.0 / (l / (Math.tan(k_m) * ((Math.pow(t, 3.0) / (l / Math.sin(k_m))) * (2.0 + Math.pow((k_m / t), 2.0))))));
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (t <= 1.65e-78) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 5.5e+102) tmp = Float64(2.0 / Float64(1.0 / Float64(l / Float64(tan(k_m) * Float64(Float64((t ^ 3.0) / Float64(l / sin(k_m))) * Float64(2.0 + (Float64(k_m / t) ^ 2.0))))))); else tmp = Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[t, 1.65e-78], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 5.5e+102], N[(2.0 / N[(1.0 / N[(l / N[(N[Tan[k$95$m], $MachinePrecision] * N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;t \leq 1.65 \cdot 10^{-78}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 5.5 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{1}{\frac{\ell}{\tan k\_m \cdot \left(\frac{{t}^{3}}{\frac{\ell}{\sin k\_m}} \cdot \left(2 + {\left(\frac{k\_m}{t}\right)}^{2}\right)\right)}}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}\\
\end{array}
\end{array}
if t < 1.64999999999999991e-78Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 1.64999999999999991e-78 < t < 5.49999999999999981e102Initial program 79.2%
associate-/r*81.9%
+-commutative81.9%
associate-+r+81.9%
metadata-eval81.9%
associate-*r*81.8%
*-commutative81.8%
associate-*l/87.3%
associate-*r/90.5%
Applied egg-rr90.5%
clear-num90.4%
inv-pow90.4%
associate-*l*90.5%
associate-*l/92.4%
Applied egg-rr92.4%
unpow-192.4%
metadata-eval92.4%
associate-+r+92.4%
*-commutative92.4%
associate-/l*93.3%
associate-+r+93.3%
metadata-eval93.3%
Simplified93.3%
if 5.49999999999999981e102 < t Initial program 57.6%
associate-/r*57.6%
sqr-neg57.6%
associate-*l*49.3%
sqr-neg49.3%
associate-/r*52.3%
associate-+l+52.3%
unpow252.3%
times-frac38.3%
sqr-neg38.3%
times-frac52.3%
unpow252.3%
Simplified52.3%
Taylor expanded in k around 0 49.3%
*-commutative49.3%
associate-/r*49.3%
Simplified49.3%
add-cube-cbrt49.3%
pow249.3%
div-inv47.3%
cbrt-prod47.3%
cbrt-div47.3%
unpow247.3%
cbrt-prod47.3%
unpow247.3%
unpow347.3%
add-cbrt-cube47.3%
pow-flip47.3%
metadata-eval47.3%
div-inv47.3%
Applied egg-rr61.0%
pow-plus61.0%
metadata-eval61.0%
associate-*l/61.1%
Simplified61.1%
pow1/360.9%
pow-pow48.2%
metadata-eval48.2%
Applied egg-rr48.2%
Final simplification63.8%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(if (<= t 5.4e-78)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(if (<= t 3.4e+95)
(/
2.0
(/
(*
(* (tan k_m) (+ 2.0 (pow (/ k_m t) 2.0)))
(* (sin k_m) (/ (pow t 3.0) l)))
l))
(pow (/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t) 3.0))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (t <= 5.4e-78) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else if (t <= 3.4e+95) {
tmp = 2.0 / (((tan(k_m) * (2.0 + pow((k_m / t), 2.0))) * (sin(k_m) * (pow(t, 3.0) / l))) / l);
} else {
tmp = pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (t <= 5.4e-78) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else if (t <= 3.4e+95) {
tmp = 2.0 / (((Math.tan(k_m) * (2.0 + Math.pow((k_m / t), 2.0))) * (Math.sin(k_m) * (Math.pow(t, 3.0) / l))) / l);
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (t <= 5.4e-78) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); elseif (t <= 3.4e+95) tmp = Float64(2.0 / Float64(Float64(Float64(tan(k_m) * Float64(2.0 + (Float64(k_m / t) ^ 2.0))) * Float64(sin(k_m) * Float64((t ^ 3.0) / l))) / l)); else tmp = Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[t, 5.4e-78], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t, 3.4e+95], N[(2.0 / N[(N[(N[(N[Tan[k$95$m], $MachinePrecision] * N[(2.0 + N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision]]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;t \leq 5.4 \cdot 10^{-78}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t \leq 3.4 \cdot 10^{+95}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k\_m \cdot \left(2 + {\left(\frac{k\_m}{t}\right)}^{2}\right)\right) \cdot \left(\sin k\_m \cdot \frac{{t}^{3}}{\ell}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}\\
\end{array}
\end{array}
if t < 5.39999999999999987e-78Initial program 47.6%
associate-/r*54.8%
+-commutative54.8%
associate-+r+54.8%
metadata-eval54.8%
associate-*r*55.0%
*-commutative55.0%
associate-*l/57.0%
associate-*r/57.6%
Applied egg-rr57.6%
Taylor expanded in k around inf 62.0%
*-commutative62.0%
*-commutative62.0%
times-frac62.5%
Simplified62.5%
if 5.39999999999999987e-78 < t < 3.40000000000000022e95Initial program 81.5%
associate-/r*84.2%
+-commutative84.2%
associate-+r+84.2%
metadata-eval84.2%
associate-*r*84.1%
*-commutative84.1%
associate-*l/89.8%
associate-*r/93.0%
Applied egg-rr93.0%
if 3.40000000000000022e95 < t Initial program 56.6%
associate-/r*56.6%
sqr-neg56.6%
associate-*l*48.3%
sqr-neg48.3%
associate-/r*51.3%
associate-+l+51.3%
unpow251.3%
times-frac37.6%
sqr-neg37.6%
times-frac51.3%
unpow251.3%
Simplified51.3%
Taylor expanded in k around 0 48.4%
*-commutative48.4%
associate-/r*48.3%
Simplified48.3%
add-cube-cbrt48.3%
pow248.3%
div-inv46.4%
cbrt-prod46.4%
cbrt-div46.4%
unpow246.4%
cbrt-prod46.4%
unpow246.4%
unpow346.4%
add-cbrt-cube46.4%
pow-flip46.4%
metadata-eval46.4%
div-inv46.4%
Applied egg-rr59.9%
pow-plus59.9%
metadata-eval59.9%
associate-*l/59.9%
Simplified59.9%
pow1/359.8%
pow-pow48.9%
metadata-eval48.9%
Applied egg-rr48.9%
Final simplification63.8%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(if (<= t 7.8e+39)
(/
2.0
(/ (* (/ (* t (pow (sin k_m) 2.0)) (cos k_m)) (/ (pow k_m 2.0) l)) l))
(pow (/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t) 3.0)))k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (t <= 7.8e+39) {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) / cos(k_m)) * (pow(k_m, 2.0) / l)) / l);
} else {
tmp = pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (t <= 7.8e+39) {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) / Math.cos(k_m)) * (Math.pow(k_m, 2.0) / l)) / l);
} else {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (t <= 7.8e+39) tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) / cos(k_m)) * Float64((k_m ^ 2.0) / l)) / l)); else tmp = Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0; end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[t, 7.8e+39], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Power[k$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;t \leq 7.8 \cdot 10^{+39}:\\
\;\;\;\;\frac{2}{\frac{\frac{t \cdot {\sin k\_m}^{2}}{\cos k\_m} \cdot \frac{{k\_m}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}\\
\end{array}
\end{array}
if t < 7.8000000000000002e39Initial program 51.5%
associate-/r*58.3%
+-commutative58.3%
associate-+r+58.3%
metadata-eval58.3%
associate-*r*58.5%
*-commutative58.5%
associate-*l/61.2%
associate-*r/61.8%
Applied egg-rr61.8%
Taylor expanded in k around inf 64.2%
*-commutative64.2%
*-commutative64.2%
times-frac64.6%
Simplified64.6%
if 7.8000000000000002e39 < t Initial program 61.4%
associate-/r*61.4%
sqr-neg61.4%
associate-*l*52.7%
sqr-neg52.7%
associate-/r*55.3%
associate-+l+55.3%
unpow255.3%
times-frac43.5%
sqr-neg43.5%
times-frac55.3%
unpow255.3%
Simplified55.3%
Taylor expanded in k around 0 51.1%
*-commutative51.1%
associate-/r*52.7%
Simplified52.7%
add-cube-cbrt52.6%
pow252.6%
div-inv51.0%
cbrt-prod50.9%
cbrt-div50.9%
unpow250.9%
cbrt-prod50.9%
unpow250.9%
unpow350.9%
add-cbrt-cube50.9%
pow-flip50.9%
metadata-eval50.9%
div-inv50.9%
Applied egg-rr60.9%
pow-plus60.9%
metadata-eval60.9%
associate-*l/60.9%
Simplified60.9%
pow1/360.6%
pow-pow44.9%
metadata-eval44.9%
Applied egg-rr44.9%
Final simplification59.9%
k_m = (fabs.f64 k)
(FPCore (t l k_m)
:precision binary64
(if (<= k_m 9000000000000.0)
(pow (/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t) 3.0)
(/
2.0
(/ (/ (* (* t (pow (sin k_m) 2.0)) (pow k_m 2.0)) (* (cos k_m) l)) l))))k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 9000000000000.0) {
tmp = pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
} else {
tmp = 2.0 / ((((t * pow(sin(k_m), 2.0)) * pow(k_m, 2.0)) / (cos(k_m) * l)) / l);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 9000000000000.0) {
tmp = Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
} else {
tmp = 2.0 / ((((t * Math.pow(Math.sin(k_m), 2.0)) * Math.pow(k_m, 2.0)) / (Math.cos(k_m) * l)) / l);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 9000000000000.0) tmp = Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0; else tmp = Float64(2.0 / Float64(Float64(Float64(Float64(t * (sin(k_m) ^ 2.0)) * (k_m ^ 2.0)) / Float64(cos(k_m) * l)) / l)); end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 9000000000000.0], N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision], N[(2.0 / N[(N[(N[(N[(t * N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Cos[k$95$m], $MachinePrecision] * l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 9000000000000:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{\left(t \cdot {\sin k\_m}^{2}\right) \cdot {k\_m}^{2}}{\cos k\_m \cdot \ell}}{\ell}}\\
\end{array}
\end{array}
if k < 9e12Initial program 56.9%
associate-/r*56.9%
sqr-neg56.9%
associate-*l*51.5%
sqr-neg51.5%
associate-/r*57.7%
associate-+l+57.7%
unpow257.7%
times-frac45.1%
sqr-neg45.1%
times-frac57.7%
unpow257.7%
Simplified57.7%
Taylor expanded in k around 0 49.7%
*-commutative49.7%
associate-/r*49.3%
Simplified49.3%
add-cube-cbrt49.2%
pow249.2%
div-inv48.7%
cbrt-prod48.7%
cbrt-div48.7%
unpow248.7%
cbrt-prod48.7%
unpow248.7%
unpow348.7%
add-cbrt-cube48.7%
pow-flip48.7%
metadata-eval48.7%
div-inv48.7%
Applied egg-rr64.6%
pow-plus64.6%
metadata-eval64.6%
associate-*l/64.6%
Simplified64.6%
pow1/364.1%
pow-pow34.2%
metadata-eval34.2%
Applied egg-rr34.2%
if 9e12 < k Initial program 43.8%
associate-/r*48.0%
+-commutative48.0%
associate-+r+48.0%
metadata-eval48.0%
associate-*r*48.0%
*-commutative48.0%
associate-*l/48.0%
associate-*r/49.7%
Applied egg-rr49.7%
Taylor expanded in k around inf 63.5%
Final simplification41.0%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (pow (/ (* (pow (cbrt l) 2.0) (pow k_m -0.6666666666666666)) t) 3.0))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return pow(((pow(cbrt(l), 2.0) * pow(k_m, -0.6666666666666666)) / t), 3.0);
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return Math.pow(((Math.pow(Math.cbrt(l), 2.0) * Math.pow(k_m, -0.6666666666666666)) / t), 3.0);
}
k_m = abs(k) function code(t, l, k_m) return Float64(Float64((cbrt(l) ^ 2.0) * (k_m ^ -0.6666666666666666)) / t) ^ 3.0 end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[Power[N[(N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[k$95$m, -0.6666666666666666], $MachinePrecision]), $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2} \cdot {k\_m}^{-0.6666666666666666}}{t}\right)}^{3}
\end{array}
Initial program 53.9%
associate-/r*54.1%
sqr-neg54.1%
associate-*l*49.9%
sqr-neg49.9%
associate-/r*55.6%
associate-+l+55.6%
unpow255.6%
times-frac43.9%
sqr-neg43.9%
times-frac55.6%
unpow255.6%
Simplified55.6%
Taylor expanded in k around 0 47.0%
*-commutative47.0%
associate-/r*47.1%
Simplified47.1%
add-cube-cbrt47.1%
pow247.1%
div-inv46.7%
cbrt-prod46.7%
cbrt-div46.7%
unpow246.7%
cbrt-prod46.7%
unpow246.7%
unpow346.7%
add-cbrt-cube46.7%
pow-flip46.7%
metadata-eval46.7%
div-inv46.7%
Applied egg-rr59.9%
pow-plus59.9%
metadata-eval59.9%
associate-*l/60.0%
Simplified60.0%
pow1/359.6%
pow-pow36.2%
metadata-eval36.2%
Applied egg-rr36.2%
Final simplification36.2%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (or (<= l 9.5e-184) (not (<= l 460000000000.0))) (/ (pow (/ (pow (cbrt l) 2.0) t) 3.0) (* k_m k_m)) (* (/ (pow l 2.0) k_m) (/ (pow t -3.0) k_m))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if ((l <= 9.5e-184) || !(l <= 460000000000.0)) {
tmp = pow((pow(cbrt(l), 2.0) / t), 3.0) / (k_m * k_m);
} else {
tmp = (pow(l, 2.0) / k_m) * (pow(t, -3.0) / k_m);
}
return tmp;
}
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if ((l <= 9.5e-184) || !(l <= 460000000000.0)) {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t), 3.0) / (k_m * k_m);
} else {
tmp = (Math.pow(l, 2.0) / k_m) * (Math.pow(t, -3.0) / k_m);
}
return tmp;
}
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if ((l <= 9.5e-184) || !(l <= 460000000000.0)) tmp = Float64((Float64((cbrt(l) ^ 2.0) / t) ^ 3.0) / Float64(k_m * k_m)); else tmp = Float64(Float64((l ^ 2.0) / k_m) * Float64((t ^ -3.0) / k_m)); end return tmp end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[Or[LessEqual[l, 9.5e-184], N[Not[LessEqual[l, 460000000000.0]], $MachinePrecision]], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t), $MachinePrecision], 3.0], $MachinePrecision] / N[(k$95$m * k$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k$95$m), $MachinePrecision] * N[(N[Power[t, -3.0], $MachinePrecision] / k$95$m), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;\ell \leq 9.5 \cdot 10^{-184} \lor \neg \left(\ell \leq 460000000000\right):\\
\;\;\;\;\frac{{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t}\right)}^{3}}{k\_m \cdot k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\ell}^{2}}{k\_m} \cdot \frac{{t}^{-3}}{k\_m}\\
\end{array}
\end{array}
if l < 9.4999999999999991e-184 or 4.6e11 < l Initial program 52.8%
associate-/r*53.0%
sqr-neg53.0%
associate-*l*49.1%
sqr-neg49.1%
associate-/r*55.7%
associate-+l+55.7%
unpow255.7%
times-frac43.1%
sqr-neg43.1%
times-frac55.7%
unpow255.7%
Simplified55.7%
Taylor expanded in k around 0 46.0%
*-commutative46.0%
associate-/r*46.6%
Simplified46.6%
unpow246.6%
Applied egg-rr46.6%
add-cube-cbrt46.6%
pow246.6%
cbrt-div46.6%
unpow246.6%
cbrt-prod46.6%
unpow246.6%
unpow346.6%
add-cbrt-cube46.6%
cbrt-div46.6%
unpow246.6%
cbrt-prod51.9%
unpow251.9%
unpow351.9%
add-cbrt-cube58.5%
Applied egg-rr58.5%
pow-plus58.5%
metadata-eval58.5%
Simplified58.5%
if 9.4999999999999991e-184 < l < 4.6e11Initial program 61.2%
associate-/r*61.3%
sqr-neg61.3%
associate-*l*55.2%
sqr-neg55.2%
associate-/r*55.2%
associate-+l+55.2%
unpow255.2%
times-frac49.3%
sqr-neg49.3%
times-frac55.2%
unpow255.2%
Simplified55.2%
Taylor expanded in k around 0 54.1%
*-commutative54.1%
associate-/r*50.1%
Simplified50.1%
unpow250.1%
Applied egg-rr50.1%
expm1-log1p-u49.6%
expm1-udef46.7%
div-inv46.7%
pow-flip46.7%
metadata-eval46.7%
Applied egg-rr46.7%
expm1-def49.6%
expm1-log1p50.1%
Simplified50.1%
times-frac60.8%
Applied egg-rr60.8%
Final simplification58.8%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (/ 2.0 (* (+ 1.0 (+ 1.0 (pow (/ k_m t) 2.0))) (pow (* k_m (/ (pow t 1.5) l)) 2.0))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return 2.0 / ((1.0 + (1.0 + pow((k_m / t), 2.0))) * pow((k_m * (pow(t, 1.5) / l)), 2.0));
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = 2.0d0 / ((1.0d0 + (1.0d0 + ((k_m / t) ** 2.0d0))) * ((k_m * ((t ** 1.5d0) / l)) ** 2.0d0))
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return 2.0 / ((1.0 + (1.0 + Math.pow((k_m / t), 2.0))) * Math.pow((k_m * (Math.pow(t, 1.5) / l)), 2.0));
}
k_m = math.fabs(k) def code(t, l, k_m): return 2.0 / ((1.0 + (1.0 + math.pow((k_m / t), 2.0))) * math.pow((k_m * (math.pow(t, 1.5) / l)), 2.0))
k_m = abs(k) function code(t, l, k_m) return Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + (Float64(k_m / t) ^ 2.0))) * (Float64(k_m * Float64((t ^ 1.5) / l)) ^ 2.0))) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = 2.0 / ((1.0 + (1.0 + ((k_m / t) ^ 2.0))) * ((k_m * ((t ^ 1.5) / l)) ^ 2.0)); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(2.0 / N[(N[(1.0 + N[(1.0 + N[Power[N[(k$95$m / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(k$95$m * N[(N[Power[t, 1.5], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{2}{\left(1 + \left(1 + {\left(\frac{k\_m}{t}\right)}^{2}\right)\right) \cdot {\left(k\_m \cdot \frac{{t}^{1.5}}{\ell}\right)}^{2}}
\end{array}
Initial program 53.9%
associate-*l*49.8%
associate-/r*55.5%
add-sqr-sqrt28.8%
pow228.8%
sqrt-prod21.5%
associate-/r*19.4%
sqrt-div19.4%
sqrt-pow121.4%
metadata-eval21.4%
sqrt-prod12.1%
add-sqr-sqrt25.6%
Applied egg-rr25.6%
Taylor expanded in k around 0 32.8%
Final simplification32.8%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 5.2e-192) (* (/ (pow l 2.0) k_m) (/ (pow t -3.0) k_m)) (/ 2.0 (/ (* 2.0 (/ (* (pow k_m 2.0) (pow t 3.0)) l)) l))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 5.2e-192) {
tmp = (pow(l, 2.0) / k_m) * (pow(t, -3.0) / k_m);
} else {
tmp = 2.0 / ((2.0 * ((pow(k_m, 2.0) * pow(t, 3.0)) / l)) / l);
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 5.2d-192) then
tmp = ((l ** 2.0d0) / k_m) * ((t ** (-3.0d0)) / k_m)
else
tmp = 2.0d0 / ((2.0d0 * (((k_m ** 2.0d0) * (t ** 3.0d0)) / l)) / l)
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 5.2e-192) {
tmp = (Math.pow(l, 2.0) / k_m) * (Math.pow(t, -3.0) / k_m);
} else {
tmp = 2.0 / ((2.0 * ((Math.pow(k_m, 2.0) * Math.pow(t, 3.0)) / l)) / l);
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 5.2e-192: tmp = (math.pow(l, 2.0) / k_m) * (math.pow(t, -3.0) / k_m) else: tmp = 2.0 / ((2.0 * ((math.pow(k_m, 2.0) * math.pow(t, 3.0)) / l)) / l) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 5.2e-192) tmp = Float64(Float64((l ^ 2.0) / k_m) * Float64((t ^ -3.0) / k_m)); else tmp = Float64(2.0 / Float64(Float64(2.0 * Float64(Float64((k_m ^ 2.0) * (t ^ 3.0)) / l)) / l)); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 5.2e-192) tmp = ((l ^ 2.0) / k_m) * ((t ^ -3.0) / k_m); else tmp = 2.0 / ((2.0 * (((k_m ^ 2.0) * (t ^ 3.0)) / l)) / l); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 5.2e-192], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k$95$m), $MachinePrecision] * N[(N[Power[t, -3.0], $MachinePrecision] / k$95$m), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[(N[(N[Power[k$95$m, 2.0], $MachinePrecision] * N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 5.2 \cdot 10^{-192}:\\
\;\;\;\;\frac{{\ell}^{2}}{k\_m} \cdot \frac{{t}^{-3}}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot \frac{{k\_m}^{2} \cdot {t}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if k < 5.2000000000000003e-192Initial program 53.5%
associate-/r*53.6%
sqr-neg53.6%
associate-*l*46.7%
sqr-neg46.7%
associate-/r*51.3%
associate-+l+51.3%
unpow251.3%
times-frac39.7%
sqr-neg39.7%
times-frac51.3%
unpow251.3%
Simplified51.3%
Taylor expanded in k around 0 45.3%
*-commutative45.3%
associate-/r*44.3%
Simplified44.3%
unpow244.3%
Applied egg-rr44.3%
expm1-log1p-u35.5%
expm1-udef34.8%
div-inv34.8%
pow-flip34.8%
metadata-eval34.8%
Applied egg-rr34.8%
expm1-def35.5%
expm1-log1p44.3%
Simplified44.3%
times-frac53.4%
Applied egg-rr53.4%
if 5.2000000000000003e-192 < k Initial program 54.4%
associate-/r*61.7%
+-commutative61.7%
associate-+r+61.7%
metadata-eval61.7%
associate-*r*61.7%
*-commutative61.7%
associate-*l/61.7%
associate-*r/62.6%
Applied egg-rr62.6%
Taylor expanded in k around 0 55.1%
Final simplification54.1%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (if (<= k_m 5.2e-192) (* (/ (pow l 2.0) k_m) (/ (pow t -3.0) k_m)) (/ 2.0 (/ (/ (* 2.0 (pow k_m 2.0)) (/ l (pow t 3.0))) l))))
k_m = fabs(k);
double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 5.2e-192) {
tmp = (pow(l, 2.0) / k_m) * (pow(t, -3.0) / k_m);
} else {
tmp = 2.0 / (((2.0 * pow(k_m, 2.0)) / (l / pow(t, 3.0))) / l);
}
return tmp;
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 5.2d-192) then
tmp = ((l ** 2.0d0) / k_m) * ((t ** (-3.0d0)) / k_m)
else
tmp = 2.0d0 / (((2.0d0 * (k_m ** 2.0d0)) / (l / (t ** 3.0d0))) / l)
end if
code = tmp
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
double tmp;
if (k_m <= 5.2e-192) {
tmp = (Math.pow(l, 2.0) / k_m) * (Math.pow(t, -3.0) / k_m);
} else {
tmp = 2.0 / (((2.0 * Math.pow(k_m, 2.0)) / (l / Math.pow(t, 3.0))) / l);
}
return tmp;
}
k_m = math.fabs(k) def code(t, l, k_m): tmp = 0 if k_m <= 5.2e-192: tmp = (math.pow(l, 2.0) / k_m) * (math.pow(t, -3.0) / k_m) else: tmp = 2.0 / (((2.0 * math.pow(k_m, 2.0)) / (l / math.pow(t, 3.0))) / l) return tmp
k_m = abs(k) function code(t, l, k_m) tmp = 0.0 if (k_m <= 5.2e-192) tmp = Float64(Float64((l ^ 2.0) / k_m) * Float64((t ^ -3.0) / k_m)); else tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * (k_m ^ 2.0)) / Float64(l / (t ^ 3.0))) / l)); end return tmp end
k_m = abs(k); function tmp_2 = code(t, l, k_m) tmp = 0.0; if (k_m <= 5.2e-192) tmp = ((l ^ 2.0) / k_m) * ((t ^ -3.0) / k_m); else tmp = 2.0 / (((2.0 * (k_m ^ 2.0)) / (l / (t ^ 3.0))) / l); end tmp_2 = tmp; end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := If[LessEqual[k$95$m, 5.2e-192], N[(N[(N[Power[l, 2.0], $MachinePrecision] / k$95$m), $MachinePrecision] * N[(N[Power[t, -3.0], $MachinePrecision] / k$95$m), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / N[(l / N[Power[t, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
\begin{array}{l}
\mathbf{if}\;k\_m \leq 5.2 \cdot 10^{-192}:\\
\;\;\;\;\frac{{\ell}^{2}}{k\_m} \cdot \frac{{t}^{-3}}{k\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{2 \cdot {k\_m}^{2}}{\frac{\ell}{{t}^{3}}}}{\ell}}\\
\end{array}
\end{array}
if k < 5.2000000000000003e-192Initial program 53.5%
associate-/r*53.6%
sqr-neg53.6%
associate-*l*46.7%
sqr-neg46.7%
associate-/r*51.3%
associate-+l+51.3%
unpow251.3%
times-frac39.7%
sqr-neg39.7%
times-frac51.3%
unpow251.3%
Simplified51.3%
Taylor expanded in k around 0 45.3%
*-commutative45.3%
associate-/r*44.3%
Simplified44.3%
unpow244.3%
Applied egg-rr44.3%
expm1-log1p-u35.5%
expm1-udef34.8%
div-inv34.8%
pow-flip34.8%
metadata-eval34.8%
Applied egg-rr34.8%
expm1-def35.5%
expm1-log1p44.3%
Simplified44.3%
times-frac53.4%
Applied egg-rr53.4%
if 5.2000000000000003e-192 < k Initial program 54.4%
associate-/r*61.7%
+-commutative61.7%
associate-+r+61.7%
metadata-eval61.7%
associate-*r*61.7%
*-commutative61.7%
associate-*l/61.7%
associate-*r/62.6%
Applied egg-rr62.6%
Taylor expanded in k around 0 55.1%
*-commutative55.1%
associate-/l*55.8%
associate-*l/55.8%
Simplified55.8%
Final simplification54.3%
k_m = (fabs.f64 k) (FPCore (t l k_m) :precision binary64 (* (/ (pow l 2.0) k_m) (/ (pow t -3.0) k_m)))
k_m = fabs(k);
double code(double t, double l, double k_m) {
return (pow(l, 2.0) / k_m) * (pow(t, -3.0) / k_m);
}
k_m = abs(k)
real(8) function code(t, l, k_m)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = ((l ** 2.0d0) / k_m) * ((t ** (-3.0d0)) / k_m)
end function
k_m = Math.abs(k);
public static double code(double t, double l, double k_m) {
return (Math.pow(l, 2.0) / k_m) * (Math.pow(t, -3.0) / k_m);
}
k_m = math.fabs(k) def code(t, l, k_m): return (math.pow(l, 2.0) / k_m) * (math.pow(t, -3.0) / k_m)
k_m = abs(k) function code(t, l, k_m) return Float64(Float64((l ^ 2.0) / k_m) * Float64((t ^ -3.0) / k_m)) end
k_m = abs(k); function tmp = code(t, l, k_m) tmp = ((l ^ 2.0) / k_m) * ((t ^ -3.0) / k_m); end
k_m = N[Abs[k], $MachinePrecision] code[t_, l_, k$95$m_] := N[(N[(N[Power[l, 2.0], $MachinePrecision] / k$95$m), $MachinePrecision] * N[(N[Power[t, -3.0], $MachinePrecision] / k$95$m), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
\frac{{\ell}^{2}}{k\_m} \cdot \frac{{t}^{-3}}{k\_m}
\end{array}
Initial program 53.9%
associate-/r*54.1%
sqr-neg54.1%
associate-*l*49.9%
sqr-neg49.9%
associate-/r*55.6%
associate-+l+55.6%
unpow255.6%
times-frac43.9%
sqr-neg43.9%
times-frac55.6%
unpow255.6%
Simplified55.6%
Taylor expanded in k around 0 47.0%
*-commutative47.0%
associate-/r*47.1%
Simplified47.1%
unpow247.1%
Applied egg-rr47.1%
expm1-log1p-u39.8%
expm1-udef39.5%
div-inv39.5%
pow-flip39.5%
metadata-eval39.5%
Applied egg-rr39.5%
expm1-def39.8%
expm1-log1p47.1%
Simplified47.1%
times-frac52.2%
Applied egg-rr52.2%
Final simplification52.2%
herbie shell --seed 2024026
(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))))