
(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 20 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (+ (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) + 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) + 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) + 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) + 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) + 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) + 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) + 1\right)}
\end{array}
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (hypot 1.0 (hypot 1.0 (/ k t_m))))))
(*
t_s
(if (<= t_m 3.7e-101)
(*
(/ 2.0 (pow k 2.0))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 3.6e+96)
(* t_2 (* (/ 2.0 (* (pow t_m 3.0) (* (sin k) (tan k)))) t_2))
(/
(pow
(*
(pow (cbrt l) 2.0)
(/ (/ (cbrt (/ 2.0 (tan k))) t_m) (cbrt (sin k))))
3.0)
(+ 2.0 (pow (/ k t_m) 2.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = l / hypot(1.0, hypot(1.0, (k / t_m)));
double tmp;
if (t_m <= 3.7e-101) {
tmp = (2.0 / pow(k, 2.0)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 3.6e+96) {
tmp = t_2 * ((2.0 / (pow(t_m, 3.0) * (sin(k) * tan(k)))) * t_2);
} else {
tmp = pow((pow(cbrt(l), 2.0) * ((cbrt((2.0 / tan(k))) / t_m) / cbrt(sin(k)))), 3.0) / (2.0 + pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = l / Math.hypot(1.0, Math.hypot(1.0, (k / t_m)));
double tmp;
if (t_m <= 3.7e-101) {
tmp = (2.0 / Math.pow(k, 2.0)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 3.6e+96) {
tmp = t_2 * ((2.0 / (Math.pow(t_m, 3.0) * (Math.sin(k) * Math.tan(k)))) * t_2);
} else {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) * ((Math.cbrt((2.0 / Math.tan(k))) / t_m) / Math.cbrt(Math.sin(k)))), 3.0) / (2.0 + Math.pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(l / hypot(1.0, hypot(1.0, Float64(k / t_m)))) tmp = 0.0 if (t_m <= 3.7e-101) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 3.6e+96) tmp = Float64(t_2 * Float64(Float64(2.0 / Float64((t_m ^ 3.0) * Float64(sin(k) * tan(k)))) * t_2)); else tmp = Float64((Float64((cbrt(l) ^ 2.0) * Float64(Float64(cbrt(Float64(2.0 / tan(k))) / t_m) / cbrt(sin(k)))) ^ 3.0) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(l / N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.7e-101], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.6e+96], N[(t$95$2 * N[(N[(2.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[(N[(N[Power[N[(2.0 / N[Tan[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{\ell}{\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.7 \cdot 10^{-101}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 3.6 \cdot 10^{+96}:\\
\;\;\;\;t\_2 \cdot \left(\frac{2}{{t\_m}^{3} \cdot \left(\sin k \cdot \tan k\right)} \cdot t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left({\left(\sqrt[3]{\ell}\right)}^{2} \cdot \frac{\frac{\sqrt[3]{\frac{2}{\tan k}}}{t\_m}}{\sqrt[3]{\sin k}}\right)}^{3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if t < 3.70000000000000005e-101Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
associate-*r/59.6%
times-frac59.3%
times-frac61.4%
Simplified61.4%
if 3.70000000000000005e-101 < t < 3.60000000000000013e96Initial program 72.1%
Simplified69.9%
associate-*r*72.3%
add-sqr-sqrt72.2%
times-frac74.7%
Applied egg-rr85.9%
associate-/l*86.0%
associate-*l*83.6%
Simplified83.6%
if 3.60000000000000013e96 < t Initial program 67.5%
Simplified67.5%
add-cube-cbrt67.5%
pow367.5%
associate-*l/67.2%
cbrt-div67.2%
pow267.2%
cbrt-prod67.2%
rem-cbrt-cube81.1%
Applied egg-rr81.1%
pow281.1%
*-commutative81.1%
cbrt-prod87.9%
cbrt-prod99.3%
unpow299.3%
Applied egg-rr99.3%
associate-/l*99.5%
Applied egg-rr99.5%
associate-/r*99.4%
Simplified99.4%
Final simplification71.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<=
(/
2.0
(*
(* (tan k) (* (sin k) (/ (pow t_m 3.0) (* l l))))
(+ 1.0 (+ 1.0 t_2))))
2e+16)
(* (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))) (/ l (+ 2.0 t_2)))
(/
2.0
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (* 2.0 (pow k 2.0)))) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((tan(k) * (sin(k) * (pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * cbrt((2.0 * pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((Math.tan(k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt((2.0 * Math.pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l)))) * Float64(1.0 + Float64(1.0 + t_2)))) <= 2e+16) tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(l / Float64(2.0 + t_2))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(Float64(2.0 * (k ^ 2.0)))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e+16], N[(N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)\right) \cdot \left(1 + \left(1 + t\_2\right)\right)} \leq 2 \cdot 10^{+16}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{2 \cdot {k}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) < 2e16Initial program 81.6%
Simplified81.5%
associate-*r*82.3%
*-un-lft-identity82.3%
times-frac83.0%
associate-/l/83.0%
Applied egg-rr83.0%
if 2e16 < (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) Initial program 20.0%
Simplified29.9%
Taylor expanded in k around 0 37.3%
unpow237.3%
Applied egg-rr37.3%
add-cube-cbrt37.3%
pow337.3%
cbrt-prod37.3%
associate-/l/25.7%
unpow225.7%
cbrt-div25.7%
unpow325.7%
add-cbrt-cube41.4%
unpow241.4%
cbrt-prod51.8%
unpow251.8%
pow251.8%
Applied egg-rr51.8%
Final simplification67.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<=
(/
2.0
(*
(* (tan k) (* (sin k) (/ (pow t_m 3.0) (* l l))))
(+ 1.0 (+ 1.0 t_2))))
2e+16)
(* (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))) (/ l (+ 2.0 t_2)))
(/
2.0
(pow
(* (* t_m (pow (cbrt l) -2.0)) (cbrt (* 2.0 (pow k 2.0))))
3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((tan(k) * (sin(k) * (pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * cbrt((2.0 * pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((Math.tan(k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt((2.0 * Math.pow(k, 2.0)))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l)))) * Float64(1.0 + Float64(1.0 + t_2)))) <= 2e+16) tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(l / Float64(2.0 + t_2))); else tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(Float64(2.0 * (k ^ 2.0)))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e+16], N[(N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)\right) \cdot \left(1 + \left(1 + t\_2\right)\right)} \leq 2 \cdot 10^{+16}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{2 \cdot {k}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) < 2e16Initial program 81.6%
Simplified81.5%
associate-*r*82.3%
*-un-lft-identity82.3%
times-frac83.0%
associate-/l/83.0%
Applied egg-rr83.0%
if 2e16 < (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) Initial program 20.0%
Simplified29.9%
Taylor expanded in k around 0 37.3%
add-cube-cbrt37.3%
pow337.3%
cbrt-prod37.3%
associate-/l/25.7%
cbrt-div25.7%
unpow325.7%
add-cbrt-cube41.4%
cbrt-prod51.8%
unpow251.8%
div-inv51.8%
pow-flip51.8%
metadata-eval51.8%
Applied egg-rr51.8%
Final simplification67.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<=
(/
2.0
(*
(* (tan k) (* (sin k) (/ (pow t_m 3.0) (* l l))))
(+ 1.0 (+ 1.0 t_2))))
2e+16)
(* (* l (/ 2.0 (* (tan k) (* (sin k) (pow t_m 3.0))))) (/ l (+ 2.0 t_2)))
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((tan(k) * (sin(k) * (pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (tan(k) * (sin(k) * pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((Math.tan(k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l)))) * (1.0 + (1.0 + t_2)))) <= 2e+16) {
tmp = (l * (2.0 / (Math.tan(k) * (Math.sin(k) * Math.pow(t_m, 3.0))))) * (l / (2.0 + t_2));
} else {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l)))) * Float64(1.0 + Float64(1.0 + t_2)))) <= 2e+16) tmp = Float64(Float64(l * Float64(2.0 / Float64(tan(k) * Float64(sin(k) * (t_m ^ 3.0))))) * Float64(l / Float64(2.0 + t_2))); else tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2e+16], N[(N[(l * N[(2.0 / N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)\right) \cdot \left(1 + \left(1 + t\_2\right)\right)} \leq 2 \cdot 10^{+16}:\\
\;\;\;\;\left(\ell \cdot \frac{2}{\tan k \cdot \left(\sin k \cdot {t\_m}^{3}\right)}\right) \cdot \frac{\ell}{2 + t\_2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
\end{array}
if (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) < 2e16Initial program 81.6%
Simplified81.5%
associate-*r*82.3%
*-un-lft-identity82.3%
times-frac83.0%
associate-/l/83.0%
Applied egg-rr83.0%
if 2e16 < (/.f64 #s(literal 2 binary64) (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t #s(literal 3 binary64)) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 #s(literal 1 binary64) (pow.f64 (/.f64 k t) #s(literal 2 binary64))) #s(literal 1 binary64)))) Initial program 20.0%
Simplified29.9%
Taylor expanded in k around 0 37.3%
unpow237.3%
Applied egg-rr37.3%
add-cube-cbrt37.3%
pow337.3%
associate-/r*25.7%
cbrt-div25.7%
rem-cbrt-cube40.1%
cbrt-prod49.6%
pow249.6%
Applied egg-rr49.6%
Final simplification66.0%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (hypot 1.0 (hypot 1.0 (/ k t_m))))))
(*
t_s
(if (<= t_m 4.2e-103)
(*
(/ 2.0 (pow k 2.0))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 3.9e+96)
(* t_2 (* (/ 2.0 (* (pow t_m 3.0) (* (sin k) (tan k)))) t_2))
(/
2.0
(*
(pow (* (* t_m (cbrt (sin k))) (pow (cbrt l) -2.0)) 3.0)
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0)))))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = l / hypot(1.0, hypot(1.0, (k / t_m)));
double tmp;
if (t_m <= 4.2e-103) {
tmp = (2.0 / pow(k, 2.0)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 3.9e+96) {
tmp = t_2 * ((2.0 / (pow(t_m, 3.0) * (sin(k) * tan(k)))) * t_2);
} else {
tmp = 2.0 / (pow(((t_m * cbrt(sin(k))) * pow(cbrt(l), -2.0)), 3.0) * (tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = l / Math.hypot(1.0, Math.hypot(1.0, (k / t_m)));
double tmp;
if (t_m <= 4.2e-103) {
tmp = (2.0 / Math.pow(k, 2.0)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 3.9e+96) {
tmp = t_2 * ((2.0 / (Math.pow(t_m, 3.0) * (Math.sin(k) * Math.tan(k)))) * t_2);
} else {
tmp = 2.0 / (Math.pow(((t_m * Math.cbrt(Math.sin(k))) * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(l / hypot(1.0, hypot(1.0, Float64(k / t_m)))) tmp = 0.0 if (t_m <= 4.2e-103) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 3.9e+96) tmp = Float64(t_2 * Float64(Float64(2.0 / Float64((t_m ^ 3.0) * Float64(sin(k) * tan(k)))) * t_2)); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m * cbrt(sin(k))) * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(l / N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 4.2e-103], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.9e+96], N[(t$95$2 * N[(N[(2.0 / N[(N[Power[t$95$m, 3.0], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{\ell}{\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right)}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.2 \cdot 10^{-103}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 3.9 \cdot 10^{+96}:\\
\;\;\;\;t\_2 \cdot \left(\frac{2}{{t\_m}^{3} \cdot \left(\sin k \cdot \tan k\right)} \cdot t\_2\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot \sqrt[3]{\sin k}\right) \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 4.20000000000000009e-103Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
associate-*r/59.6%
times-frac59.3%
times-frac61.4%
Simplified61.4%
if 4.20000000000000009e-103 < t < 3.9e96Initial program 72.1%
Simplified69.9%
associate-*r*72.3%
add-sqr-sqrt72.2%
times-frac74.7%
Applied egg-rr85.9%
associate-/l*86.0%
associate-*l*83.6%
Simplified83.6%
if 3.9e96 < t Initial program 67.5%
Simplified67.5%
add-cube-cbrt67.5%
pow367.5%
associate-/r*72.6%
*-commutative72.6%
cbrt-prod72.6%
associate-/r*67.5%
cbrt-div67.5%
rem-cbrt-cube81.6%
cbrt-prod92.9%
pow292.9%
Applied egg-rr92.9%
cube-mult92.8%
div-inv92.8%
pow-flip92.8%
metadata-eval92.8%
pow292.8%
div-inv92.9%
pow-flip92.9%
metadata-eval92.9%
Applied egg-rr92.9%
unpow292.9%
cube-unmult93.0%
associate-*r*92.9%
*-commutative92.9%
Simplified92.9%
Final simplification70.2%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 2.0 (pow (/ k t_m) 2.0))) (t_3 (pow (cbrt l) 2.0)))
(*
t_s
(if (<= k 2.6e-148)
(/ (pow (/ (* t_3 (cbrt (/ 2.0 (tan k)))) (* t_m (cbrt k))) 3.0) t_2)
(if (<= k 0.034)
(/
2.0
(pow
(*
(* (hypot 1.0 (hypot 1.0 (/ k t_m))) (/ (pow t_m 1.5) l))
(sqrt (* (sin k) (tan k))))
2.0))
(if (<= k 1.02e+92)
(*
2.0
(/
(* (pow l 2.0) (cos k))
(* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(/
2.0
(pow (* (/ t_m t_3) (cbrt (* (sin k) (* (tan k) t_2)))) 3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + pow((k / t_m), 2.0);
double t_3 = pow(cbrt(l), 2.0);
double tmp;
if (k <= 2.6e-148) {
tmp = pow(((t_3 * cbrt((2.0 / tan(k)))) / (t_m * cbrt(k))), 3.0) / t_2;
} else if (k <= 0.034) {
tmp = 2.0 / pow(((hypot(1.0, hypot(1.0, (k / t_m))) * (pow(t_m, 1.5) / l)) * sqrt((sin(k) * tan(k)))), 2.0);
} else if (k <= 1.02e+92) {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else {
tmp = 2.0 / pow(((t_m / t_3) * cbrt((sin(k) * (tan(k) * t_2)))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = 2.0 + Math.pow((k / t_m), 2.0);
double t_3 = Math.pow(Math.cbrt(l), 2.0);
double tmp;
if (k <= 2.6e-148) {
tmp = Math.pow(((t_3 * Math.cbrt((2.0 / Math.tan(k)))) / (t_m * Math.cbrt(k))), 3.0) / t_2;
} else if (k <= 0.034) {
tmp = 2.0 / Math.pow(((Math.hypot(1.0, Math.hypot(1.0, (k / t_m))) * (Math.pow(t_m, 1.5) / l)) * Math.sqrt((Math.sin(k) * Math.tan(k)))), 2.0);
} else if (k <= 1.02e+92) {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = 2.0 / Math.pow(((t_m / t_3) * Math.cbrt((Math.sin(k) * (Math.tan(k) * t_2)))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(2.0 + (Float64(k / t_m) ^ 2.0)) t_3 = cbrt(l) ^ 2.0 tmp = 0.0 if (k <= 2.6e-148) tmp = Float64((Float64(Float64(t_3 * cbrt(Float64(2.0 / tan(k)))) / Float64(t_m * cbrt(k))) ^ 3.0) / t_2); elseif (k <= 0.034) tmp = Float64(2.0 / (Float64(Float64(hypot(1.0, hypot(1.0, Float64(k / t_m))) * Float64((t_m ^ 1.5) / l)) * sqrt(Float64(sin(k) * tan(k)))) ^ 2.0)); elseif (k <= 1.02e+92) tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(2.0 / (Float64(Float64(t_m / t_3) * cbrt(Float64(sin(k) * Float64(tan(k) * t_2)))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 2.6e-148], N[(N[Power[N[(N[(t$95$3 * N[Power[N[(2.0 / N[Tan[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / t$95$2), $MachinePrecision], If[LessEqual[k, 0.034], N[(2.0 / N[Power[N[(N[(N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.02e+92], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(t$95$m / t$95$3), $MachinePrecision] * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 + {\left(\frac{k}{t\_m}\right)}^{2}\\
t_3 := {\left(\sqrt[3]{\ell}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 2.6 \cdot 10^{-148}:\\
\;\;\;\;\frac{{\left(\frac{t\_3 \cdot \sqrt[3]{\frac{2}{\tan k}}}{t\_m \cdot \sqrt[3]{k}}\right)}^{3}}{t\_2}\\
\mathbf{elif}\;k \leq 0.034:\\
\;\;\;\;\frac{2}{{\left(\left(\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right) \cdot \frac{{t\_m}^{1.5}}{\ell}\right) \cdot \sqrt{\sin k \cdot \tan k}\right)}^{2}}\\
\mathbf{elif}\;k \leq 1.02 \cdot 10^{+92}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{t\_3} \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot t\_2\right)}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if k < 2.60000000000000008e-148Initial program 52.2%
Simplified50.4%
add-cube-cbrt50.3%
pow350.3%
associate-*l/52.5%
cbrt-div52.6%
pow252.6%
cbrt-prod52.5%
rem-cbrt-cube65.4%
Applied egg-rr65.4%
pow265.4%
*-commutative65.4%
cbrt-prod69.0%
cbrt-prod81.7%
unpow281.7%
Applied egg-rr81.7%
Taylor expanded in k around 0 77.8%
if 2.60000000000000008e-148 < k < 0.034000000000000002Initial program 54.8%
Simplified54.8%
associate-*l*54.8%
associate-/r*55.3%
associate-+r+55.3%
metadata-eval55.3%
associate-*l*55.3%
add-sqr-sqrt32.0%
pow232.0%
Applied egg-rr41.3%
associate-*r*41.3%
Simplified41.3%
if 0.034000000000000002 < k < 1.02000000000000003e92Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 84.0%
if 1.02000000000000003e92 < k Initial program 42.5%
Simplified42.5%
associate-*l*42.5%
associate-/r*46.2%
associate-+r+46.2%
metadata-eval46.2%
associate-*l*46.2%
add-cube-cbrt46.3%
pow346.3%
Applied egg-rr61.8%
Final simplification71.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ t_m (pow (cbrt l) 2.0))))
(*
t_s
(if (<= k 2.7e-167)
(/ 2.0 (* (pow (* (cbrt (sin k)) t_2) 3.0) (* 2.0 k)))
(if (<= k 0.000225)
(/
2.0
(pow
(*
(* (hypot 1.0 (hypot 1.0 (/ k t_m))) (/ (pow t_m 1.5) l))
(sqrt (* (sin k) (tan k))))
2.0))
(if (<= k 9.4e+92)
(*
2.0
(/
(* (pow l 2.0) (cos k))
(* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(/
2.0
(pow
(* t_2 (cbrt (* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))))
3.0))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = t_m / pow(cbrt(l), 2.0);
double tmp;
if (k <= 2.7e-167) {
tmp = 2.0 / (pow((cbrt(sin(k)) * t_2), 3.0) * (2.0 * k));
} else if (k <= 0.000225) {
tmp = 2.0 / pow(((hypot(1.0, hypot(1.0, (k / t_m))) * (pow(t_m, 1.5) / l)) * sqrt((sin(k) * tan(k)))), 2.0);
} else if (k <= 9.4e+92) {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else {
tmp = 2.0 / pow((t_2 * cbrt((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = t_m / Math.pow(Math.cbrt(l), 2.0);
double tmp;
if (k <= 2.7e-167) {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * t_2), 3.0) * (2.0 * k));
} else if (k <= 0.000225) {
tmp = 2.0 / Math.pow(((Math.hypot(1.0, Math.hypot(1.0, (k / t_m))) * (Math.pow(t_m, 1.5) / l)) * Math.sqrt((Math.sin(k) * Math.tan(k)))), 2.0);
} else if (k <= 9.4e+92) {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = 2.0 / Math.pow((t_2 * Math.cbrt((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(t_m / (cbrt(l) ^ 2.0)) tmp = 0.0 if (k <= 2.7e-167) tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * t_2) ^ 3.0) * Float64(2.0 * k))); elseif (k <= 0.000225) tmp = Float64(2.0 / (Float64(Float64(hypot(1.0, hypot(1.0, Float64(k / t_m))) * Float64((t_m ^ 1.5) / l)) * sqrt(Float64(sin(k) * tan(k)))) ^ 2.0)); elseif (k <= 9.4e+92) tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(2.0 / (Float64(t_2 * cbrt(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 2.7e-167], N[(2.0 / N[(N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * t$95$2), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.000225], N[(2.0 / N[Power[N[(N[(N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 9.4e+92], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(t$95$2 * N[Power[N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 2.7 \cdot 10^{-167}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot t\_2\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{elif}\;k \leq 0.000225:\\
\;\;\;\;\frac{2}{{\left(\left(\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right) \cdot \frac{{t\_m}^{1.5}}{\ell}\right) \cdot \sqrt{\sin k \cdot \tan k}\right)}^{2}}\\
\mathbf{elif}\;k \leq 9.4 \cdot 10^{+92}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \sqrt[3]{\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if k < 2.7000000000000001e-167Initial program 52.8%
Simplified52.8%
add-cube-cbrt52.7%
pow352.7%
associate-/r*61.2%
*-commutative61.2%
cbrt-prod61.2%
associate-/r*52.7%
cbrt-div53.3%
rem-cbrt-cube67.3%
cbrt-prod79.7%
pow279.7%
Applied egg-rr79.7%
Taylor expanded in k around 0 72.6%
if 2.7000000000000001e-167 < k < 2.2499999999999999e-4Initial program 50.8%
Simplified50.8%
associate-*l*50.8%
associate-/r*51.2%
associate-+r+51.2%
metadata-eval51.2%
associate-*l*51.2%
add-sqr-sqrt29.4%
pow229.4%
Applied egg-rr37.8%
associate-*r*37.8%
Simplified37.8%
if 2.2499999999999999e-4 < k < 9.4000000000000001e92Initial program 52.6%
Simplified52.6%
Taylor expanded in t around 0 84.0%
if 9.4000000000000001e92 < k Initial program 42.5%
Simplified42.5%
associate-*l*42.5%
associate-/r*46.2%
associate-+r+46.2%
metadata-eval46.2%
associate-*l*46.2%
add-cube-cbrt46.3%
pow346.3%
Applied egg-rr61.8%
Final simplification67.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (cbrt l) 2.0)) (t_3 (* (sin k) (tan k))))
(*
t_s
(if (<= k 2.7e-167)
(/ 2.0 (* (pow (* (cbrt (sin k)) (/ t_m t_2)) 3.0) (* 2.0 k)))
(if (<= k 0.049)
(/
2.0
(pow
(*
(* (hypot 1.0 (hypot 1.0 (/ k t_m))) (/ (pow t_m 1.5) l))
(sqrt t_3))
2.0))
(if (<= k 1.6e+136)
(*
2.0
(/
(* (pow l 2.0) (cos k))
(* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(/
(* (pow (/ t_2 t_m) 3.0) (/ 2.0 t_3))
(+ 2.0 (pow (/ k t_m) 2.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = pow(cbrt(l), 2.0);
double t_3 = sin(k) * tan(k);
double tmp;
if (k <= 2.7e-167) {
tmp = 2.0 / (pow((cbrt(sin(k)) * (t_m / t_2)), 3.0) * (2.0 * k));
} else if (k <= 0.049) {
tmp = 2.0 / pow(((hypot(1.0, hypot(1.0, (k / t_m))) * (pow(t_m, 1.5) / l)) * sqrt(t_3)), 2.0);
} else if (k <= 1.6e+136) {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else {
tmp = (pow((t_2 / t_m), 3.0) * (2.0 / t_3)) / (2.0 + pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow(Math.cbrt(l), 2.0);
double t_3 = Math.sin(k) * Math.tan(k);
double tmp;
if (k <= 2.7e-167) {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * (t_m / t_2)), 3.0) * (2.0 * k));
} else if (k <= 0.049) {
tmp = 2.0 / Math.pow(((Math.hypot(1.0, Math.hypot(1.0, (k / t_m))) * (Math.pow(t_m, 1.5) / l)) * Math.sqrt(t_3)), 2.0);
} else if (k <= 1.6e+136) {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = (Math.pow((t_2 / t_m), 3.0) * (2.0 / t_3)) / (2.0 + Math.pow((k / t_m), 2.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = cbrt(l) ^ 2.0 t_3 = Float64(sin(k) * tan(k)) tmp = 0.0 if (k <= 2.7e-167) tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * Float64(t_m / t_2)) ^ 3.0) * Float64(2.0 * k))); elseif (k <= 0.049) tmp = Float64(2.0 / (Float64(Float64(hypot(1.0, hypot(1.0, Float64(k / t_m))) * Float64((t_m ^ 1.5) / l)) * sqrt(t_3)) ^ 2.0)); elseif (k <= 1.6e+136) tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(Float64((Float64(t_2 / t_m) ^ 3.0) * Float64(2.0 / t_3)) / Float64(2.0 + (Float64(k / t_m) ^ 2.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := Block[{t$95$2 = N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 2.7e-167], N[(2.0 / N[(N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / t$95$2), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 0.049], N[(2.0 / N[Power[N[(N[(N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision] * N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t$95$3], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 1.6e+136], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[(t$95$2 / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 / t$95$3), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\left(\sqrt[3]{\ell}\right)}^{2}\\
t_3 := \sin k \cdot \tan k\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 2.7 \cdot 10^{-167}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{t\_2}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\mathbf{elif}\;k \leq 0.049:\\
\;\;\;\;\frac{2}{{\left(\left(\mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k}{t\_m}\right)\right) \cdot \frac{{t\_m}^{1.5}}{\ell}\right) \cdot \sqrt{t\_3}\right)}^{2}}\\
\mathbf{elif}\;k \leq 1.6 \cdot 10^{+136}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\frac{t\_2}{t\_m}\right)}^{3} \cdot \frac{2}{t\_3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if k < 2.7000000000000001e-167Initial program 52.8%
Simplified52.8%
add-cube-cbrt52.7%
pow352.7%
associate-/r*61.2%
*-commutative61.2%
cbrt-prod61.2%
associate-/r*52.7%
cbrt-div53.3%
rem-cbrt-cube67.3%
cbrt-prod79.7%
pow279.7%
Applied egg-rr79.7%
Taylor expanded in k around 0 72.6%
if 2.7000000000000001e-167 < k < 0.049000000000000002Initial program 50.8%
Simplified50.8%
associate-*l*50.8%
associate-/r*51.2%
associate-+r+51.2%
metadata-eval51.2%
associate-*l*51.2%
add-sqr-sqrt29.4%
pow229.4%
Applied egg-rr37.8%
associate-*r*37.8%
Simplified37.8%
if 0.049000000000000002 < k < 1.59999999999999994e136Initial program 50.3%
Simplified50.3%
Taylor expanded in t around 0 81.1%
if 1.59999999999999994e136 < k Initial program 42.3%
Simplified40.4%
add-cube-cbrt40.3%
pow340.3%
associate-*l/42.3%
cbrt-div42.3%
pow242.3%
cbrt-prod42.3%
rem-cbrt-cube50.6%
Applied egg-rr50.6%
pow250.6%
*-commutative50.6%
cbrt-prod50.5%
cbrt-prod60.0%
unpow260.0%
Applied egg-rr60.0%
cube-mult60.0%
times-frac60.0%
cbrt-undiv60.0%
pow260.0%
times-frac60.0%
cbrt-undiv60.0%
Applied egg-rr60.0%
unpow260.0%
cube-unmult60.0%
cube-prod60.0%
rem-cube-cbrt60.1%
associate-/l/60.1%
Simplified60.1%
Final simplification67.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 8.5e-110)
(*
(/ 2.0 (pow k 2.0))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(/
2.0
(*
(pow (* (* t_m (cbrt (sin k))) (pow (cbrt l) -2.0)) 3.0)
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 8.5e-110) {
tmp = (2.0 / pow(k, 2.0)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else {
tmp = 2.0 / (pow(((t_m * cbrt(sin(k))) * pow(cbrt(l), -2.0)), 3.0) * (tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 8.5e-110) {
tmp = (2.0 / Math.pow(k, 2.0)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / (Math.pow(((t_m * Math.cbrt(Math.sin(k))) * Math.pow(Math.cbrt(l), -2.0)), 3.0) * (Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 8.5e-110) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m * cbrt(sin(k))) * (cbrt(l) ^ -2.0)) ^ 3.0) * Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 8.5e-110], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 8.5 \cdot 10^{-110}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot \sqrt[3]{\sin k}\right) \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3} \cdot \left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 8.50000000000000029e-110Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
associate-*r/59.6%
times-frac59.3%
times-frac61.4%
Simplified61.4%
if 8.50000000000000029e-110 < t Initial program 69.8%
Simplified69.8%
add-cube-cbrt69.7%
pow369.7%
associate-/r*74.6%
*-commutative74.6%
cbrt-prod74.5%
associate-/r*69.6%
cbrt-div71.9%
rem-cbrt-cube78.9%
cbrt-prod86.8%
pow286.8%
Applied egg-rr86.8%
cube-mult86.7%
div-inv86.8%
pow-flip86.8%
metadata-eval86.8%
pow286.8%
div-inv86.8%
pow-flip86.8%
metadata-eval86.8%
Applied egg-rr86.8%
unpow286.8%
cube-unmult86.8%
associate-*r*86.8%
*-commutative86.8%
Simplified86.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.5e-107)
(*
(/ 2.0 (pow k 2.0))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(/
2.0
(*
(* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))
(pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-107) {
tmp = (2.0 / pow(k, 2.0)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else {
tmp = 2.0 / ((tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))) * pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.5e-107) {
tmp = (2.0 / Math.pow(k, 2.0)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else {
tmp = 2.0 / ((Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))) * Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.5e-107) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))) * (Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3.5e-107], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-107}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}}\\
\end{array}
\end{array}
if t < 3.49999999999999985e-107Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
associate-*r/59.6%
times-frac59.3%
times-frac61.4%
Simplified61.4%
if 3.49999999999999985e-107 < t Initial program 69.8%
Simplified69.8%
add-cube-cbrt69.7%
pow369.7%
associate-/r*74.6%
*-commutative74.6%
cbrt-prod74.5%
associate-/r*69.6%
cbrt-div71.9%
rem-cbrt-cube78.9%
cbrt-prod86.8%
pow286.8%
Applied egg-rr86.8%
Final simplification69.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.15e-106)
(*
(/ 2.0 (pow k 2.0))
(* (/ (pow l 2.0) t_m) (/ (cos k) (pow (sin k) 2.0))))
(if (<= t_m 3.8e+96)
(/
2.0
(*
(/ (pow t_m 3.0) l)
(/ (* (* (sin k) (tan k)) (+ 2.0 (pow (/ k t_m) 2.0))) l)))
(/
2.0
(*
(pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.15e-106) {
tmp = (2.0 / pow(k, 2.0)) * ((pow(l, 2.0) / t_m) * (cos(k) / pow(sin(k), 2.0)));
} else if (t_m <= 3.8e+96) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (((sin(k) * tan(k)) * (2.0 + pow((k / t_m), 2.0))) / l));
} else {
tmp = 2.0 / (pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.15e-106) {
tmp = (2.0 / Math.pow(k, 2.0)) * ((Math.pow(l, 2.0) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0)));
} else if (t_m <= 3.8e+96) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (((Math.sin(k) * Math.tan(k)) * (2.0 + Math.pow((k / t_m), 2.0))) / l));
} else {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.15e-106) tmp = Float64(Float64(2.0 / (k ^ 2.0)) * Float64(Float64((l ^ 2.0) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0)))); elseif (t_m <= 3.8e+96) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) / l))); else tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.15e-106], N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[l, 2.0], $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.8e+96], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.15 \cdot 10^{-106}:\\
\;\;\;\;\frac{2}{{k}^{2}} \cdot \left(\frac{{\ell}^{2}}{t\_m} \cdot \frac{\cos k}{{\sin k}^{2}}\right)\\
\mathbf{elif}\;t\_m \leq 3.8 \cdot 10^{+96}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{\left(\sin k \cdot \tan k\right) \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.1500000000000001e-106Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
associate-*r/59.6%
times-frac59.3%
times-frac61.4%
Simplified61.4%
if 2.1500000000000001e-106 < t < 3.8000000000000002e96Initial program 72.1%
Simplified72.1%
associate-*l*69.8%
associate-/r*74.5%
associate-+r+74.5%
metadata-eval74.5%
associate-*l*74.3%
associate-*l/77.0%
associate-*l*77.1%
Applied egg-rr77.1%
associate-/l*79.2%
associate-*r*79.0%
Simplified79.0%
if 3.8000000000000002e96 < t Initial program 67.5%
Simplified67.5%
add-cube-cbrt67.5%
pow367.5%
associate-/r*72.6%
*-commutative72.6%
cbrt-prod72.6%
associate-/r*67.5%
cbrt-div67.5%
rem-cbrt-cube81.6%
cbrt-prod92.9%
pow292.9%
Applied egg-rr92.9%
Taylor expanded in k around 0 86.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.02e-106)
(*
2.0
(/ (* (pow l 2.0) (cos k)) (* (pow k 2.0) (* t_m (pow (sin k) 2.0)))))
(if (<= t_m 4.2e+96)
(/
2.0
(*
(/ (pow t_m 3.0) l)
(/ (* (* (sin k) (tan k)) (+ 2.0 (pow (/ k t_m) 2.0))) l)))
(/
2.0
(*
(pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.02e-106) {
tmp = 2.0 * ((pow(l, 2.0) * cos(k)) / (pow(k, 2.0) * (t_m * pow(sin(k), 2.0))));
} else if (t_m <= 4.2e+96) {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (((sin(k) * tan(k)) * (2.0 + pow((k / t_m), 2.0))) / l));
} else {
tmp = 2.0 / (pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.02e-106) {
tmp = 2.0 * ((Math.pow(l, 2.0) * Math.cos(k)) / (Math.pow(k, 2.0) * (t_m * Math.pow(Math.sin(k), 2.0))));
} else if (t_m <= 4.2e+96) {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (((Math.sin(k) * Math.tan(k)) * (2.0 + Math.pow((k / t_m), 2.0))) / l));
} else {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.02e-106) tmp = Float64(2.0 * Float64(Float64((l ^ 2.0) * cos(k)) / Float64((k ^ 2.0) * Float64(t_m * (sin(k) ^ 2.0))))); elseif (t_m <= 4.2e+96) tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) / l))); else tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.02e-106], N[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision] / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 4.2e+96], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.02 \cdot 10^{-106}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2} \cdot \cos k}{{k}^{2} \cdot \left(t\_m \cdot {\sin k}^{2}\right)}\\
\mathbf{elif}\;t\_m \leq 4.2 \cdot 10^{+96}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{\left(\sin k \cdot \tan k\right) \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.02000000000000011e-106Initial program 40.8%
Simplified40.8%
Taylor expanded in t around 0 59.6%
if 2.02000000000000011e-106 < t < 4.2000000000000002e96Initial program 72.1%
Simplified72.1%
associate-*l*69.8%
associate-/r*74.5%
associate-+r+74.5%
metadata-eval74.5%
associate-*l*74.3%
associate-*l/77.0%
associate-*l*77.1%
Applied egg-rr77.1%
associate-/l*79.2%
associate-*r*79.0%
Simplified79.0%
if 4.2000000000000002e96 < t Initial program 67.5%
Simplified67.5%
add-cube-cbrt67.5%
pow367.5%
associate-/r*72.6%
*-commutative72.6%
cbrt-prod72.6%
associate-/r*67.5%
cbrt-div67.5%
rem-cbrt-cube81.6%
cbrt-prod92.9%
pow292.9%
Applied egg-rr92.9%
Taylor expanded in k around 0 86.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.75e-80)
(/
2.0
(pow (* (* t_m (pow (cbrt l) -2.0)) (cbrt (* 2.0 (pow k 2.0)))) 3.0))
(if (<= t_m 3.4e+96)
(/
2.0
(/
(*
(* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))
(/ (pow t_m 3.0) l))
l))
(/
2.0
(*
(pow (* (cbrt (sin k)) (/ t_m (pow (cbrt l) 2.0))) 3.0)
(* 2.0 k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.75e-80) {
tmp = 2.0 / pow(((t_m * pow(cbrt(l), -2.0)) * cbrt((2.0 * pow(k, 2.0)))), 3.0);
} else if (t_m <= 3.4e+96) {
tmp = 2.0 / (((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))) * (pow(t_m, 3.0) / l)) / l);
} else {
tmp = 2.0 / (pow((cbrt(sin(k)) * (t_m / pow(cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 2.75e-80) {
tmp = 2.0 / Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt((2.0 * Math.pow(k, 2.0)))), 3.0);
} else if (t_m <= 3.4e+96) {
tmp = 2.0 / (((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))) * (Math.pow(t_m, 3.0) / l)) / l);
} else {
tmp = 2.0 / (Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0) * (2.0 * k));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 2.75e-80) tmp = Float64(2.0 / (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(Float64(2.0 * (k ^ 2.0)))) ^ 3.0)); elseif (t_m <= 3.4e+96) tmp = Float64(2.0 / Float64(Float64(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) * Float64((t_m ^ 3.0) / l)) / l)); else tmp = Float64(2.0 / Float64((Float64(cbrt(sin(k)) * Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0) * Float64(2.0 * k))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 2.75e-80], N[(2.0 / N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(2.0 * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.4e+96], N[(2.0 / N[(N[(N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.75 \cdot 10^{-80}:\\
\;\;\;\;\frac{2}{{\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{2 \cdot {k}^{2}}\right)}^{3}}\\
\mathbf{elif}\;t\_m \leq 3.4 \cdot 10^{+96}:\\
\;\;\;\;\frac{2}{\frac{\left(\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot \frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot k\right)}\\
\end{array}
\end{array}
if t < 2.7499999999999998e-80Initial program 41.5%
Simplified46.8%
Taylor expanded in k around 0 49.0%
add-cube-cbrt49.0%
pow349.0%
cbrt-prod49.0%
associate-/l/41.8%
cbrt-div41.8%
unpow341.8%
add-cbrt-cube53.0%
cbrt-prod59.9%
unpow259.9%
div-inv59.9%
pow-flip59.9%
metadata-eval59.9%
Applied egg-rr59.9%
if 2.7499999999999998e-80 < t < 3.4000000000000001e96Initial program 75.0%
Simplified75.0%
associate-*l*72.3%
associate-/r*75.1%
associate-+r+75.1%
metadata-eval75.1%
associate-*l*75.1%
associate-*l/80.9%
associate-*l*80.9%
Applied egg-rr80.9%
if 3.4000000000000001e96 < t Initial program 67.5%
Simplified67.5%
add-cube-cbrt67.5%
pow367.5%
associate-/r*72.6%
*-commutative72.6%
cbrt-prod72.6%
associate-/r*67.5%
cbrt-div67.5%
rem-cbrt-cube81.6%
cbrt-prod92.9%
pow292.9%
Applied egg-rr92.9%
Taylor expanded in k around 0 86.3%
Final simplification67.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (or (<= t_m 9.5e-81) (not (<= t_m 1.95e+77)))
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))
(/
2.0
(/
(*
(* (sin k) (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))))
(/ (pow t_m 3.0) l))
l)))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 1.95e+77)) {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((sin(k) * (tan(k) * (2.0 + pow((k / t_m), 2.0)))) * (pow(t_m, 3.0) / l)) / l);
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 1.95e+77)) {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((Math.sin(k) * (Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0)))) * (Math.pow(t_m, 3.0) / l)) / l);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if ((t_m <= 9.5e-81) || !(t_m <= 1.95e+77)) tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 / Float64(Float64(Float64(sin(k) * Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0)))) * Float64((t_m ^ 3.0) / l)) / l)); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[Or[LessEqual[t$95$m, 9.5e-81], N[Not[LessEqual[t$95$m, 1.95e+77]], $MachinePrecision]], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Sin[k], $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9.5 \cdot 10^{-81} \lor \neg \left(t\_m \leq 1.95 \cdot 10^{+77}\right):\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(\sin k \cdot \left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)\right) \cdot \frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 9.49999999999999917e-81 or 1.9499999999999999e77 < t Initial program 47.1%
Simplified50.8%
Taylor expanded in k around 0 52.6%
unpow252.6%
Applied egg-rr52.6%
add-cube-cbrt52.6%
pow352.6%
associate-/r*45.9%
cbrt-div45.9%
rem-cbrt-cube54.8%
cbrt-prod60.2%
pow260.2%
Applied egg-rr60.2%
if 9.49999999999999917e-81 < t < 1.9499999999999999e77Initial program 72.6%
Simplified72.6%
associate-*l*69.7%
associate-/r*72.8%
associate-+r+72.8%
metadata-eval72.8%
associate-*l*72.8%
associate-*l/79.1%
associate-*l*79.1%
Applied egg-rr79.1%
Final simplification62.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (or (<= t_m 9.5e-81) (not (<= t_m 4.2e+96)))
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))
(/
2.0
(*
(/ (pow t_m 3.0) l)
(/ (* (* (sin k) (tan k)) (+ 2.0 (pow (/ k t_m) 2.0))) l))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / ((pow(t_m, 3.0) / l) * (((sin(k) * tan(k)) * (2.0 + pow((k / t_m), 2.0))) / l));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / ((Math.pow(t_m, 3.0) / l) * (((Math.sin(k) * Math.tan(k)) * (2.0 + Math.pow((k / t_m), 2.0))) / l));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 / Float64(Float64((t_m ^ 3.0) / l) * Float64(Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) / l))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[Or[LessEqual[t$95$m, 9.5e-81], N[Not[LessEqual[t$95$m, 4.2e+96]], $MachinePrecision]], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] * N[(N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9.5 \cdot 10^{-81} \lor \neg \left(t\_m \leq 4.2 \cdot 10^{+96}\right):\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{{t\_m}^{3}}{\ell} \cdot \frac{\left(\sin k \cdot \tan k\right) \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 9.49999999999999917e-81 or 4.2000000000000002e96 < t Initial program 46.4%
Simplified50.2%
Taylor expanded in k around 0 52.0%
unpow252.0%
Applied egg-rr52.0%
add-cube-cbrt52.0%
pow352.0%
associate-/r*45.2%
cbrt-div45.2%
rem-cbrt-cube54.2%
cbrt-prod59.7%
pow259.7%
Applied egg-rr59.7%
if 9.49999999999999917e-81 < t < 4.2000000000000002e96Initial program 75.0%
Simplified75.0%
associate-*l*72.3%
associate-/r*75.1%
associate-+r+75.1%
metadata-eval75.1%
associate-*l*75.1%
associate-*l/80.9%
associate-*l*80.9%
Applied egg-rr80.9%
associate-/l*80.8%
associate-*r*80.8%
Simplified80.8%
Final simplification62.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (or (<= t_m 9.5e-81) (not (<= t_m 4.2e+96)))
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))
(/
2.0
(*
(* (* (sin k) (tan k)) (+ 2.0 (pow (/ k t_m) 2.0)))
(/ (/ (pow t_m 3.0) l) l))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((sin(k) * tan(k)) * (2.0 + pow((k / t_m), 2.0))) * ((pow(t_m, 3.0) / l) / l));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((Math.sin(k) * Math.tan(k)) * (2.0 + Math.pow((k / t_m), 2.0))) * ((Math.pow(t_m, 3.0) / l) / l));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if ((t_m <= 9.5e-81) || !(t_m <= 4.2e+96)) tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 / Float64(Float64(Float64(sin(k) * tan(k)) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(Float64((t_m ^ 3.0) / l) / l))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[Or[LessEqual[t$95$m, 9.5e-81], N[Not[LessEqual[t$95$m, 4.2e+96]], $MachinePrecision]], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9.5 \cdot 10^{-81} \lor \neg \left(t\_m \leq 4.2 \cdot 10^{+96}\right):\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\left(\sin k \cdot \tan k\right) \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{\frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 9.49999999999999917e-81 or 4.2000000000000002e96 < t Initial program 46.4%
Simplified50.2%
Taylor expanded in k around 0 52.0%
unpow252.0%
Applied egg-rr52.0%
add-cube-cbrt52.0%
pow352.0%
associate-/r*45.2%
cbrt-div45.2%
rem-cbrt-cube54.2%
cbrt-prod59.7%
pow259.7%
Applied egg-rr59.7%
if 9.49999999999999917e-81 < t < 4.2000000000000002e96Initial program 75.0%
Simplified75.1%
Final simplification61.8%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= l 2.6e+156)
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))
(/
2.0
(*
(* (/ (pow t_m 2.0) l) (/ t_m l))
(/ (* 2.0 (pow (sin k) 2.0)) (cos k)))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 2.6e+156) {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((pow(t_m, 2.0) / l) * (t_m / l)) * ((2.0 * pow(sin(k), 2.0)) / cos(k)));
}
return t_s * tmp;
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 2.6e+156) {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k)));
} else {
tmp = 2.0 / (((Math.pow(t_m, 2.0) / l) * (t_m / l)) * ((2.0 * Math.pow(Math.sin(k), 2.0)) / Math.cos(k)));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (l <= 2.6e+156) tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k)))); else tmp = Float64(2.0 / Float64(Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l)) * Float64(Float64(2.0 * (sin(k) ^ 2.0)) / cos(k)))); end return Float64(t_s * tmp) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[l, 2.6e+156], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \leq 2.6 \cdot 10^{+156}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right) \cdot \frac{2 \cdot {\sin k}^{2}}{\cos k}}\\
\end{array}
\end{array}
if l < 2.60000000000000019e156Initial program 54.4%
Simplified56.6%
Taylor expanded in k around 0 56.7%
unpow256.7%
Applied egg-rr56.7%
add-cube-cbrt56.6%
pow356.6%
associate-/r*51.4%
cbrt-div51.4%
rem-cbrt-cube59.0%
cbrt-prod63.0%
pow263.0%
Applied egg-rr63.0%
if 2.60000000000000019e156 < l Initial program 25.2%
Simplified35.3%
pow135.3%
associate-*l*35.3%
Applied egg-rr35.3%
Taylor expanded in t around inf 50.4%
associate-*r/50.4%
Simplified50.4%
associate-/r*40.4%
unpow340.4%
times-frac58.7%
pow258.7%
Applied egg-rr58.7%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (* k k))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * (k * k))));
}
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * (k * k))));
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * Float64(k * k))))) end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot \left(k \cdot k\right)\right)}
\end{array}
Initial program 50.3%
Simplified53.6%
Taylor expanded in k around 0 53.3%
unpow253.3%
Applied egg-rr53.3%
add-cube-cbrt53.3%
pow353.3%
associate-/r*47.7%
cbrt-div47.7%
rem-cbrt-cube55.5%
cbrt-prod59.9%
pow259.9%
Applied egg-rr59.9%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (pow (/ (pow t_m 1.5) l) 2.0)))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * pow((pow(t_m, 1.5) / l), 2.0)));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * (((t_m ** 1.5d0) / l) ** 2.0d0)))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * math.pow((math.pow(t_m, 1.5) / l), 2.0)))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * (Float64((t_m ^ 1.5) / l) ^ 2.0)))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * (((t_m ^ 1.5) / l) ^ 2.0))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}}
\end{array}
Initial program 50.3%
Simplified53.6%
Taylor expanded in k around 0 53.3%
unpow253.3%
Applied egg-rr53.3%
add-sqr-sqrt31.3%
pow231.3%
associate-/r*27.7%
sqrt-div27.7%
sqrt-pow129.5%
metadata-eval29.5%
sqrt-prod17.8%
add-sqr-sqrt32.0%
Applied egg-rr32.0%
Final simplification32.0%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (* (* 2.0 (* k k)) (* (/ t_m l) (/ (* t_m t_m) l))))))
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
end function
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))));
}
t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l))))
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64(k * k)) * Float64(Float64(t_m / l) * Float64(Float64(t_m * t_m) / l))))) end
t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * (k * k)) * ((t_m / l) * ((t_m * t_m) / l)))); end
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\left(2 \cdot \left(k \cdot k\right)\right) \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot t\_m}{\ell}\right)}
\end{array}
Initial program 50.3%
Simplified53.6%
Taylor expanded in k around 0 53.3%
unpow253.3%
Applied egg-rr53.3%
associate-/r*46.8%
unpow346.8%
times-frac53.2%
pow253.2%
Applied egg-rr56.4%
unpow256.4%
Applied egg-rr56.4%
Final simplification56.4%
herbie shell --seed 2024165
(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))))