
(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 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.15e-145)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(/
2.0
(pow
(*
(* (* t_m (pow (cbrt l) -2.0)) (cbrt (sin k)))
(cbrt (* (tan k) (+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))))
3.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.15e-145) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / pow((((t_m * pow(cbrt(l), -2.0)) * cbrt(sin(k))) * cbrt((tan(k) * (1.0 + (1.0 + pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.15e-145) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / Math.pow((((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(Math.sin(k))) * Math.cbrt((Math.tan(k) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0)))))), 3.0);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.15e-145) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); else tmp = Float64(2.0 / (Float64(Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(sin(k))) * cbrt(Float64(tan(k) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0)))))) ^ 3.0)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.15e-145], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[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], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.15 \cdot 10^{-145}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{\sin k}\right) \cdot \sqrt[3]{\tan k \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\right)}^{3}}\\
\end{array}
\end{array}
if t < 1.15000000000000004e-145Initial program 50.3%
associate-/r*57.8%
+-commutative57.8%
associate-+r+57.8%
metadata-eval57.8%
associate-*r*57.8%
*-commutative57.8%
associate-*l/58.3%
associate-*r/58.4%
Applied egg-rr58.4%
Taylor expanded in k around inf 72.3%
associate-*r*72.3%
*-commutative72.3%
*-commutative72.3%
times-frac72.6%
Simplified72.6%
if 1.15000000000000004e-145 < t Initial program 67.9%
associate-/r*73.1%
add-cube-cbrt72.9%
pow372.9%
*-commutative72.9%
cbrt-prod72.9%
associate-/r*67.9%
cbrt-div67.8%
rem-cbrt-cube72.5%
cbrt-prod84.7%
pow284.7%
Applied egg-rr84.7%
expm1-log1p-u65.1%
expm1-udef40.4%
Applied egg-rr40.4%
expm1-def65.1%
expm1-log1p84.7%
*-commutative84.7%
Simplified84.7%
add-cube-cbrt84.6%
pow384.7%
Applied egg-rr88.9%
Final simplification78.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (pow (/ k t_m) 2.0)))
(*
t_s
(if (<=
(/
2.0
(*
(+ 1.0 (+ 1.0 t_2))
(* (tan k) (* (sin k) (/ (pow t_m 3.0) (* l l))))))
2e+256)
(/ 2.0 (/ (* (tan k) (+ 2.0 t_2)) (/ l (* (sin k) (/ (pow t_m 3.0) l)))))
(/
2.0
(/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) 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 t_2 = pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((1.0 + (1.0 + t_2)) * (tan(k) * (sin(k) * (pow(t_m, 3.0) / (l * l)))))) <= 2e+256) {
tmp = 2.0 / ((tan(k) * (2.0 + t_2)) / (l / (sin(k) * (pow(t_m, 3.0) / l))));
} else {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: t_2
real(8) :: tmp
t_2 = (k / t_m) ** 2.0d0
if ((2.0d0 / ((1.0d0 + (1.0d0 + t_2)) * (tan(k) * (sin(k) * ((t_m ** 3.0d0) / (l * l)))))) <= 2d+256) then
tmp = 2.0d0 / ((tan(k) * (2.0d0 + t_2)) / (l / (sin(k) * ((t_m ** 3.0d0) / l))))
else
tmp = 2.0d0 / ((((sin(k) ** 2.0d0) / cos(k)) * ((t_m * (k ** 2.0d0)) / l)) / l)
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.pow((k / t_m), 2.0);
double tmp;
if ((2.0 / ((1.0 + (1.0 + t_2)) * (Math.tan(k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l)))))) <= 2e+256) {
tmp = 2.0 / ((Math.tan(k) * (2.0 + t_2)) / (l / (Math.sin(k) * (Math.pow(t_m, 3.0) / l))));
} else {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): t_2 = math.pow((k / t_m), 2.0) tmp = 0 if (2.0 / ((1.0 + (1.0 + t_2)) * (math.tan(k) * (math.sin(k) * (math.pow(t_m, 3.0) / (l * l)))))) <= 2e+256: tmp = 2.0 / ((math.tan(k) * (2.0 + t_2)) / (l / (math.sin(k) * (math.pow(t_m, 3.0) / l)))) else: tmp = 2.0 / (((math.pow(math.sin(k), 2.0) / math.cos(k)) * ((t_m * math.pow(k, 2.0)) / l)) / l) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(k / t_m) ^ 2.0 tmp = 0.0 if (Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + t_2)) * Float64(tan(k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l)))))) <= 2e+256) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(2.0 + t_2)) / Float64(l / Float64(sin(k) * Float64((t_m ^ 3.0) / l))))); else tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) t_2 = (k / t_m) ^ 2.0; tmp = 0.0; if ((2.0 / ((1.0 + (1.0 + t_2)) * (tan(k) * (sin(k) * ((t_m ^ 3.0) / (l * l)))))) <= 2e+256) tmp = 2.0 / ((tan(k) * (2.0 + t_2)) / (l / (sin(k) * ((t_m ^ 3.0) / l)))); else tmp = 2.0 / ((((sin(k) ^ 2.0) / cos(k)) * ((t_m * (k ^ 2.0)) / l)) / l); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := 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[(1.0 + N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] * 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]), $MachinePrecision]), $MachinePrecision], 2e+256], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + t$95$2), $MachinePrecision]), $MachinePrecision] / N[(l / N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := {\left(\frac{k}{t\_m}\right)}^{2}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\frac{2}{\left(1 + \left(1 + t\_2\right)\right) \cdot \left(\tan k \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)\right)} \leq 2 \cdot 10^{+256}:\\
\;\;\;\;\frac{2}{\frac{\tan k \cdot \left(2 + t\_2\right)}{\frac{\ell}{\sin k \cdot \frac{{t\_m}^{3}}{\ell}}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\end{array}
\end{array}
\end{array}
if (/.f64 2 (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t 3) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 1 (pow.f64 (/.f64 k t) 2)) 1))) < 2.0000000000000001e256Initial program 85.1%
associate-/r*89.2%
+-commutative89.2%
associate-+r+89.2%
metadata-eval89.2%
associate-*r*89.2%
*-commutative89.2%
associate-*l/91.3%
associate-*r/89.9%
Applied egg-rr89.9%
expm1-log1p-u44.6%
expm1-udef22.8%
associate-/l*23.4%
*-commutative23.4%
Applied egg-rr23.4%
expm1-def47.4%
expm1-log1p92.0%
Simplified92.0%
if 2.0000000000000001e256 < (/.f64 2 (*.f64 (*.f64 (*.f64 (/.f64 (pow.f64 t 3) (*.f64 l l)) (sin.f64 k)) (tan.f64 k)) (+.f64 (+.f64 1 (pow.f64 (/.f64 k t) 2)) 1))) Initial program 25.9%
associate-/r*35.3%
+-commutative35.3%
associate-+r+35.3%
metadata-eval35.3%
associate-*r*35.3%
*-commutative35.3%
associate-*l/35.3%
associate-*r/36.2%
Applied egg-rr36.2%
Taylor expanded in k around inf 67.4%
associate-*r*67.4%
*-commutative67.4%
*-commutative67.4%
times-frac67.8%
Simplified67.8%
Final simplification80.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 2.15e-131)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(/
2.0
(*
(+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0)))
(* (tan k) (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 <= 2.15e-131) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((1.0 + (1.0 + pow((k / t_m), 2.0))) * (tan(k) * 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 <= 2.15e-131) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((1.0 + (1.0 + Math.pow((k / t_m), 2.0))) * (Math.tan(k) * 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 <= 2.15e-131) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); else tmp = Float64(2.0 / Float64(Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))) * Float64(tan(k) * (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, 2.15e-131], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $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]]), $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^{-131}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \left(\tan k \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 2.15000000000000009e-131Initial program 49.7%
associate-/r*57.1%
+-commutative57.1%
associate-+r+57.1%
metadata-eval57.1%
associate-*r*57.1%
*-commutative57.1%
associate-*l/57.7%
associate-*r/57.7%
Applied egg-rr57.7%
Taylor expanded in k around inf 71.6%
associate-*r*71.6%
*-commutative71.6%
*-commutative71.6%
times-frac71.8%
Simplified71.8%
if 2.15000000000000009e-131 < t Initial program 69.5%
associate-/r*74.8%
add-cube-cbrt74.6%
pow374.6%
*-commutative74.6%
cbrt-prod74.6%
associate-/r*69.4%
cbrt-div69.4%
rem-cbrt-cube74.2%
cbrt-prod86.6%
pow286.6%
Applied egg-rr86.6%
Final simplification76.8%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.4e-130)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(/
2.0
(*
(* (tan k) (pow (* (* t_m (pow (cbrt l) -2.0)) (cbrt (sin k))) 3.0))
(+ 1.0 (+ 1.0 (pow (/ k t_m) 2.0))))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.4e-130) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((tan(k) * pow(((t_m * pow(cbrt(l), -2.0)) * cbrt(sin(k))), 3.0)) * (1.0 + (1.0 + pow((k / t_m), 2.0))));
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.4e-130) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((Math.tan(k) * Math.pow(((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(Math.sin(k))), 3.0)) * (1.0 + (1.0 + Math.pow((k / t_m), 2.0))));
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.4e-130) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * (Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(sin(k))) ^ 3.0)) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.4e-130], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[Power[N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.4 \cdot 10^{-130}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot {\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{\sin k}\right)}^{3}\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
if t < 1.40000000000000008e-130Initial program 49.7%
associate-/r*57.1%
+-commutative57.1%
associate-+r+57.1%
metadata-eval57.1%
associate-*r*57.1%
*-commutative57.1%
associate-*l/57.7%
associate-*r/57.7%
Applied egg-rr57.7%
Taylor expanded in k around inf 71.6%
associate-*r*71.6%
*-commutative71.6%
*-commutative71.6%
times-frac71.8%
Simplified71.8%
if 1.40000000000000008e-130 < t Initial program 69.5%
associate-/r*74.8%
add-cube-cbrt74.6%
pow374.6%
*-commutative74.6%
cbrt-prod74.6%
associate-/r*69.4%
cbrt-div69.4%
rem-cbrt-cube74.2%
cbrt-prod86.6%
pow286.6%
Applied egg-rr86.6%
expm1-log1p-u66.6%
expm1-udef41.4%
Applied egg-rr41.3%
expm1-def66.6%
expm1-log1p86.6%
*-commutative86.6%
Simplified86.6%
Final simplification76.8%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))))
(*
t_s
(if (<= t_m 5.6e-48)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(if (<= t_m 1.48e+134)
(/ 2.0 (/ (* t_2 (pow (* (cbrt (sin k)) (/ t_m (cbrt l))) 3.0)) l))
(/ 2.0 (* (sin k) (* t_2 (pow (* t_m (pow (cbrt l) -2.0)) 3.0)))))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = tan(k) * (2.0 + pow((k / t_m), 2.0));
double tmp;
if (t_m <= 5.6e-48) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else if (t_m <= 1.48e+134) {
tmp = 2.0 / ((t_2 * pow((cbrt(sin(k)) * (t_m / cbrt(l))), 3.0)) / l);
} else {
tmp = 2.0 / (sin(k) * (t_2 * pow((t_m * pow(cbrt(l), -2.0)), 3.0)));
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double t_2 = Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0));
double tmp;
if (t_m <= 5.6e-48) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else if (t_m <= 1.48e+134) {
tmp = 2.0 / ((t_2 * Math.pow((Math.cbrt(Math.sin(k)) * (t_m / Math.cbrt(l))), 3.0)) / l);
} else {
tmp = 2.0 / (Math.sin(k) * (t_2 * Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0)));
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) tmp = 0.0 if (t_m <= 5.6e-48) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); elseif (t_m <= 1.48e+134) tmp = Float64(2.0 / Float64(Float64(t_2 * (Float64(cbrt(sin(k)) * Float64(t_m / cbrt(l))) ^ 3.0)) / l)); else tmp = Float64(2.0 / Float64(sin(k) * Float64(t_2 * (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_] := Block[{t$95$2 = N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5.6e-48], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.48e+134], N[(2.0 / N[(N[(t$95$2 * N[Power[N[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(t$95$m / N[Power[l, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Sin[k], $MachinePrecision] * N[(t$95$2 * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5.6 \cdot 10^{-48}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 1.48 \cdot 10^{+134}:\\
\;\;\;\;\frac{2}{\frac{t\_2 \cdot {\left(\sqrt[3]{\sin k} \cdot \frac{t\_m}{\sqrt[3]{\ell}}\right)}^{3}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\sin k \cdot \left(t\_2 \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}\right)}\\
\end{array}
\end{array}
\end{array}
if t < 5.6000000000000001e-48Initial program 51.3%
associate-/r*58.9%
+-commutative58.9%
associate-+r+58.9%
metadata-eval58.9%
associate-*r*58.9%
*-commutative58.9%
associate-*l/59.9%
associate-*r/58.9%
Applied egg-rr58.9%
Taylor expanded in k around inf 71.5%
associate-*r*71.5%
*-commutative71.5%
*-commutative71.5%
times-frac71.8%
Simplified71.8%
if 5.6000000000000001e-48 < t < 1.48000000000000009e134Initial program 72.7%
associate-/r*76.9%
+-commutative76.9%
associate-+r+76.9%
metadata-eval76.9%
associate-*r*76.9%
*-commutative76.9%
associate-*l/79.0%
associate-*r/81.2%
Applied egg-rr81.2%
add-cube-cbrt81.2%
pow381.2%
*-commutative81.2%
cbrt-prod81.0%
cbrt-div80.8%
unpow380.9%
add-cbrt-cube87.2%
Applied egg-rr87.2%
if 1.48000000000000009e134 < t Initial program 65.3%
associate-/r*69.3%
add-cube-cbrt69.3%
pow369.3%
*-commutative69.3%
cbrt-prod69.3%
associate-/r*65.3%
cbrt-div65.3%
rem-cbrt-cube74.8%
cbrt-prod98.0%
pow298.0%
Applied egg-rr98.0%
expm1-log1p-u55.1%
expm1-udef50.7%
Applied egg-rr50.6%
expm1-def54.9%
expm1-log1p98.0%
*-commutative98.0%
Simplified98.0%
distribute-lft-in98.0%
*-commutative98.0%
unpow-prod-down86.0%
pow385.9%
add-cube-cbrt86.1%
Applied egg-rr85.9%
distribute-lft-out85.9%
+-commutative85.9%
associate-*r*85.9%
associate-*l*85.9%
associate-+r+85.9%
metadata-eval85.9%
Simplified85.9%
Final simplification75.8%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 57000000.0)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(if (<= t_m 1.15e+102)
(/
2.0
(/
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(/ l (* (sin k) (/ (pow t_m 3.0) l)))))
(/
2.0
(pow
(* (* (* t_m (pow (cbrt l) -2.0)) (cbrt (sin k))) (cbrt (* 2.0 k)))
3.0))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 57000000.0) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else if (t_m <= 1.15e+102) {
tmp = 2.0 / ((tan(k) * (2.0 + pow((k / t_m), 2.0))) / (l / (sin(k) * (pow(t_m, 3.0) / l))));
} else {
tmp = 2.0 / pow((((t_m * pow(cbrt(l), -2.0)) * cbrt(sin(k))) * cbrt((2.0 * k))), 3.0);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 57000000.0) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else if (t_m <= 1.15e+102) {
tmp = 2.0 / ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) / (l / (Math.sin(k) * (Math.pow(t_m, 3.0) / l))));
} else {
tmp = 2.0 / Math.pow((((t_m * Math.pow(Math.cbrt(l), -2.0)) * Math.cbrt(Math.sin(k))) * Math.cbrt((2.0 * k))), 3.0);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 57000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); elseif (t_m <= 1.15e+102) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) / Float64(l / Float64(sin(k) * Float64((t_m ^ 3.0) / l))))); else tmp = Float64(2.0 / (Float64(Float64(Float64(t_m * (cbrt(l) ^ -2.0)) * cbrt(sin(k))) * cbrt(Float64(2.0 * k))) ^ 3.0)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 57000000.0], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.15e+102], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(l / N[(N[Sin[k], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 57000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{elif}\;t\_m \leq 1.15 \cdot 10^{+102}:\\
\;\;\;\;\frac{2}{\frac{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}{\frac{\ell}{\sin k \cdot \frac{{t\_m}^{3}}{\ell}}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right) \cdot \sqrt[3]{\sin k}\right) \cdot \sqrt[3]{2 \cdot k}\right)}^{3}}\\
\end{array}
\end{array}
if t < 5.7e7Initial program 53.4%
associate-/r*60.4%
+-commutative60.4%
associate-+r+60.4%
metadata-eval60.4%
associate-*r*60.4%
*-commutative60.4%
associate-*l/61.3%
associate-*r/60.9%
Applied egg-rr60.9%
Taylor expanded in k around inf 72.5%
associate-*r*72.5%
*-commutative72.5%
*-commutative72.5%
times-frac72.7%
Simplified72.7%
if 5.7e7 < t < 1.1499999999999999e102Initial program 77.1%
associate-/r*86.3%
+-commutative86.3%
associate-+r+86.3%
metadata-eval86.3%
associate-*r*86.4%
*-commutative86.4%
associate-*l/91.0%
associate-*r/90.8%
Applied egg-rr90.8%
expm1-log1p-u56.7%
expm1-udef47.3%
associate-/l*47.3%
*-commutative47.3%
Applied egg-rr47.3%
expm1-def61.3%
expm1-log1p95.0%
Simplified95.0%
if 1.1499999999999999e102 < t Initial program 62.1%
associate-/r*65.0%
add-cube-cbrt65.0%
pow365.0%
*-commutative65.0%
cbrt-prod65.0%
associate-/r*62.1%
cbrt-div62.1%
rem-cbrt-cube75.4%
cbrt-prod92.6%
pow292.6%
Applied egg-rr92.6%
expm1-log1p-u50.6%
expm1-udef44.2%
Applied egg-rr44.1%
expm1-def50.5%
expm1-log1p92.5%
*-commutative92.5%
Simplified92.5%
add-cube-cbrt92.4%
pow392.4%
Applied egg-rr98.1%
Taylor expanded in k around 0 95.0%
*-commutative95.0%
Simplified95.0%
Final simplification77.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1950000000000.0)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(/
2.0
(*
(sin k)
(*
(* (tan k) (+ 2.0 (pow (/ k t_m) 2.0)))
(pow (* t_m (pow (cbrt l) -2.0)) 3.0)))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1950000000000.0) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / (sin(k) * ((tan(k) * (2.0 + pow((k / t_m), 2.0))) * pow((t_m * pow(cbrt(l), -2.0)), 3.0)));
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1950000000000.0) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / (Math.sin(k) * ((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * Math.pow((t_m * Math.pow(Math.cbrt(l), -2.0)), 3.0)));
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1950000000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); else tmp = Float64(2.0 / Float64(sin(k) * Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * (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, 1950000000000.0], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[(t$95$m * N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1950000000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\sin k \cdot \left(\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot {\left(t\_m \cdot {\left(\sqrt[3]{\ell}\right)}^{-2}\right)}^{3}\right)}\\
\end{array}
\end{array}
if t < 1.95e12Initial program 53.4%
associate-/r*60.3%
+-commutative60.3%
associate-+r+60.3%
metadata-eval60.3%
associate-*r*60.3%
*-commutative60.3%
associate-*l/61.6%
associate-*r/60.8%
Applied egg-rr60.8%
Taylor expanded in k around inf 72.3%
associate-*r*72.3%
*-commutative72.3%
*-commutative72.3%
times-frac72.5%
Simplified72.5%
if 1.95e12 < t Initial program 68.9%
associate-/r*74.5%
add-cube-cbrt74.5%
pow374.5%
*-commutative74.5%
cbrt-prod74.5%
associate-/r*68.9%
cbrt-div68.8%
rem-cbrt-cube77.0%
cbrt-prod91.3%
pow291.3%
Applied egg-rr91.3%
expm1-log1p-u59.2%
expm1-udef43.3%
Applied egg-rr43.3%
expm1-def59.1%
expm1-log1p91.3%
*-commutative91.3%
Simplified91.3%
distribute-lft-in91.3%
*-commutative91.3%
unpow-prod-down83.9%
pow383.9%
add-cube-cbrt84.0%
Applied egg-rr84.0%
distribute-lft-out84.0%
+-commutative84.0%
associate-*r*84.0%
associate-*l*84.0%
associate-+r+84.0%
metadata-eval84.0%
Simplified84.0%
Final simplification74.7%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1900000000000.0)
(/ 2.0 (/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) l)) l))
(/
2.0
(*
(+ 2.0 (pow (/ k t_m) 2.0))
(* (tan k) (* (sin k) (pow (/ (pow t_m 1.5) l) 2.0))))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1900000000000.0) {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((2.0 + pow((k / t_m), 2.0)) * (tan(k) * (sin(k) * pow((pow(t_m, 1.5) / l), 2.0))));
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 1900000000000.0d0) then
tmp = 2.0d0 / ((((sin(k) ** 2.0d0) / cos(k)) * ((t_m * (k ** 2.0d0)) / l)) / l)
else
tmp = 2.0d0 / ((2.0d0 + ((k / t_m) ** 2.0d0)) * (tan(k) * (sin(k) * (((t_m ** 1.5d0) / l) ** 2.0d0))))
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1900000000000.0) {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / l)) / l);
} else {
tmp = 2.0 / ((2.0 + Math.pow((k / t_m), 2.0)) * (Math.tan(k) * (Math.sin(k) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0))));
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 1900000000000.0: tmp = 2.0 / (((math.pow(math.sin(k), 2.0) / math.cos(k)) * ((t_m * math.pow(k, 2.0)) / l)) / l) else: tmp = 2.0 / ((2.0 + math.pow((k / t_m), 2.0)) * (math.tan(k) * (math.sin(k) * math.pow((math.pow(t_m, 1.5) / l), 2.0)))) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1900000000000.0) tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / l)) / l)); else tmp = Float64(2.0 / Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * Float64(tan(k) * Float64(sin(k) * (Float64((t_m ^ 1.5) / l) ^ 2.0))))); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 1900000000000.0) tmp = 2.0 / ((((sin(k) ^ 2.0) / cos(k)) * ((t_m * (k ^ 2.0)) / l)) / l); else tmp = 2.0 / ((2.0 + ((k / t_m) ^ 2.0)) * (tan(k) * (sin(k) * (((t_m ^ 1.5) / l) ^ 2.0)))); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1900000000000.0], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $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 1900000000000:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot \left(\tan k \cdot \left(\sin k \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
if t < 1.9e12Initial program 53.4%
associate-/r*60.3%
+-commutative60.3%
associate-+r+60.3%
metadata-eval60.3%
associate-*r*60.3%
*-commutative60.3%
associate-*l/61.6%
associate-*r/60.8%
Applied egg-rr60.8%
Taylor expanded in k around inf 72.3%
associate-*r*72.3%
*-commutative72.3%
*-commutative72.3%
times-frac72.5%
Simplified72.5%
if 1.9e12 < t Initial program 68.9%
associate-/r*74.5%
add-sqr-sqrt36.5%
pow236.5%
*-commutative36.5%
sqrt-prod36.5%
associate-/r*34.4%
sqrt-div34.4%
sqrt-pow136.4%
metadata-eval36.4%
sqrt-prod26.3%
add-sqr-sqrt38.4%
Applied egg-rr38.4%
*-commutative38.4%
Simplified38.4%
distribute-lft-in38.4%
*-commutative38.4%
*-commutative38.4%
unpow-prod-down36.5%
pow236.5%
add-sqr-sqrt36.5%
Applied egg-rr80.4%
distribute-lft-out80.4%
+-commutative80.4%
*-commutative80.4%
associate-+r+80.4%
metadata-eval80.4%
Simplified80.4%
Final simplification74.1%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1.1e-146)
(/ 2.0 (pow (* (/ k (/ l (sqrt 2.0))) (sqrt (pow t_m 3.0))) 2.0))
(if (<= k 2.8e-25)
(/ (pow (/ (pow (cbrt l) 2.0) t_m) 3.0) (pow k 2.0))
(/
2.0
(/ (* (/ (pow (sin k) 2.0) (cos k)) (/ (* t_m (pow k 2.0)) 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 (k <= 1.1e-146) {
tmp = 2.0 / pow(((k / (l / sqrt(2.0))) * sqrt(pow(t_m, 3.0))), 2.0);
} else if (k <= 2.8e-25) {
tmp = pow((pow(cbrt(l), 2.0) / t_m), 3.0) / pow(k, 2.0);
} else {
tmp = 2.0 / (((pow(sin(k), 2.0) / cos(k)) * ((t_m * pow(k, 2.0)) / 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 (k <= 1.1e-146) {
tmp = 2.0 / Math.pow(((k / (l / Math.sqrt(2.0))) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
} else if (k <= 2.8e-25) {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t_m), 3.0) / Math.pow(k, 2.0);
} else {
tmp = 2.0 / (((Math.pow(Math.sin(k), 2.0) / Math.cos(k)) * ((t_m * Math.pow(k, 2.0)) / 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 (k <= 1.1e-146) tmp = Float64(2.0 / (Float64(Float64(k / Float64(l / sqrt(2.0))) * sqrt((t_m ^ 3.0))) ^ 2.0)); elseif (k <= 2.8e-25) tmp = Float64((Float64((cbrt(l) ^ 2.0) / t_m) ^ 3.0) / (k ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(Float64((sin(k) ^ 2.0) / cos(k)) * Float64(Float64(t_m * (k ^ 2.0)) / 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[LessEqual[k, 1.1e-146], N[(2.0 / N[Power[N[(N[(k / N[(l / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k, 2.8e-25], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision] / N[Cos[k], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 1.1 \cdot 10^{-146}:\\
\;\;\;\;\frac{2}{{\left(\frac{k}{\frac{\ell}{\sqrt{2}}} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\mathbf{elif}\;k \leq 2.8 \cdot 10^{-25}:\\
\;\;\;\;\frac{{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t\_m}\right)}^{3}}{{k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\frac{{\sin k}^{2}}{\cos k} \cdot \frac{t\_m \cdot {k}^{2}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if k < 1.1e-146Initial program 59.6%
associate-/r*68.0%
+-commutative68.0%
associate-+r+68.0%
metadata-eval68.0%
associate-*r*68.0%
*-commutative68.0%
associate-*l/69.9%
associate-*r/69.3%
Applied egg-rr69.3%
add-sqr-sqrt30.7%
pow230.7%
associate-/l*32.5%
*-commutative32.5%
Applied egg-rr32.5%
Taylor expanded in k around 0 33.2%
associate-/l*33.2%
Simplified33.2%
if 1.1e-146 < k < 2.79999999999999988e-25Initial program 58.8%
associate-/r*58.8%
sqr-neg58.8%
associate-*l*58.8%
sqr-neg58.8%
associate-/r*59.7%
associate-+l+59.7%
unpow259.7%
times-frac50.9%
sqr-neg50.9%
times-frac59.7%
unpow259.7%
Simplified59.7%
Taylor expanded in k around 0 63.3%
*-commutative63.3%
associate-/r*63.3%
Simplified63.3%
add-cube-cbrt63.4%
pow263.4%
cbrt-div63.2%
unpow263.2%
cbrt-prod63.2%
unpow263.2%
unpow363.2%
add-cbrt-cube63.2%
cbrt-div63.2%
unpow263.2%
cbrt-prod64.1%
unpow264.1%
unpow364.1%
add-cbrt-cube80.2%
Applied egg-rr80.2%
pow-plus80.3%
metadata-eval80.3%
Simplified80.3%
if 2.79999999999999988e-25 < k Initial program 49.2%
associate-/r*54.3%
+-commutative54.3%
associate-+r+54.3%
metadata-eval54.3%
associate-*r*54.3%
*-commutative54.3%
associate-*l/54.3%
associate-*r/54.4%
Applied egg-rr54.4%
Taylor expanded in k around inf 77.7%
associate-*r*77.7%
*-commutative77.7%
*-commutative77.7%
times-frac77.7%
Simplified77.7%
Final simplification51.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 4.7e-48)
(/ 2.0 (pow (* (/ k (/ l (sin k))) (sqrt (/ t_m (cos k)))) 2.0))
(if (<= t_m 1.7e+107)
(/ 2.0 (pow (* (/ k (/ l (sqrt 2.0))) (sqrt (pow t_m 3.0))) 2.0))
(if (<= t_m 1.32e+199)
(/ (pow (/ (pow (cbrt l) 2.0) t_m) 3.0) (pow k 2.0))
(/
2.0
(/
(* (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))) (/ k (/ l (pow t_m 3.0))))
l)))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.7e-48) {
tmp = 2.0 / pow(((k / (l / sin(k))) * sqrt((t_m / cos(k)))), 2.0);
} else if (t_m <= 1.7e+107) {
tmp = 2.0 / pow(((k / (l / sqrt(2.0))) * sqrt(pow(t_m, 3.0))), 2.0);
} else if (t_m <= 1.32e+199) {
tmp = pow((pow(cbrt(l), 2.0) / t_m), 3.0) / pow(k, 2.0);
} else {
tmp = 2.0 / (((tan(k) * (2.0 + pow((k / t_m), 2.0))) * (k / (l / pow(t_m, 3.0)))) / l);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 4.7e-48) {
tmp = 2.0 / Math.pow(((k / (l / Math.sin(k))) * Math.sqrt((t_m / Math.cos(k)))), 2.0);
} else if (t_m <= 1.7e+107) {
tmp = 2.0 / Math.pow(((k / (l / Math.sqrt(2.0))) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
} else if (t_m <= 1.32e+199) {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t_m), 3.0) / Math.pow(k, 2.0);
} else {
tmp = 2.0 / (((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * (k / (l / Math.pow(t_m, 3.0)))) / l);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 4.7e-48) tmp = Float64(2.0 / (Float64(Float64(k / Float64(l / sin(k))) * sqrt(Float64(t_m / cos(k)))) ^ 2.0)); elseif (t_m <= 1.7e+107) tmp = Float64(2.0 / (Float64(Float64(k / Float64(l / sqrt(2.0))) * sqrt((t_m ^ 3.0))) ^ 2.0)); elseif (t_m <= 1.32e+199) tmp = Float64((Float64((cbrt(l) ^ 2.0) / t_m) ^ 3.0) / (k ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(k / Float64(l / (t_m ^ 3.0)))) / l)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 4.7e-48], N[(2.0 / N[Power[N[(N[(k / N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(t$95$m / N[Cos[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.7e+107], N[(2.0 / N[Power[N[(N[(k / N[(l / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.32e+199], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(k / N[(l / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.7 \cdot 10^{-48}:\\
\;\;\;\;\frac{2}{{\left(\frac{k}{\frac{\ell}{\sin k}} \cdot \sqrt{\frac{t\_m}{\cos k}}\right)}^{2}}\\
\mathbf{elif}\;t\_m \leq 1.7 \cdot 10^{+107}:\\
\;\;\;\;\frac{2}{{\left(\frac{k}{\frac{\ell}{\sqrt{2}}} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\mathbf{elif}\;t\_m \leq 1.32 \cdot 10^{+199}:\\
\;\;\;\;\frac{{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t\_m}\right)}^{3}}{{k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k}{\frac{\ell}{{t\_m}^{3}}}}{\ell}}\\
\end{array}
\end{array}
if t < 4.6999999999999998e-48Initial program 51.3%
associate-/r*58.9%
+-commutative58.9%
associate-+r+58.9%
metadata-eval58.9%
associate-*r*58.9%
*-commutative58.9%
associate-*l/59.9%
associate-*r/58.9%
Applied egg-rr58.9%
add-sqr-sqrt22.1%
pow222.1%
associate-/l*23.6%
*-commutative23.6%
Applied egg-rr23.6%
Taylor expanded in k around inf 33.8%
associate-/l*33.8%
Simplified33.8%
if 4.6999999999999998e-48 < t < 1.6999999999999998e107Initial program 75.6%
associate-/r*80.5%
+-commutative80.5%
associate-+r+80.5%
metadata-eval80.5%
associate-*r*80.5%
*-commutative80.5%
associate-*l/82.9%
associate-*r/85.4%
Applied egg-rr85.4%
add-sqr-sqrt52.9%
pow252.9%
associate-/l*52.6%
*-commutative52.6%
Applied egg-rr52.6%
Taylor expanded in k around 0 78.3%
associate-/l*78.3%
Simplified78.3%
if 1.6999999999999998e107 < t < 1.31999999999999998e199Initial program 60.0%
associate-/r*60.0%
sqr-neg60.0%
associate-*l*59.8%
sqr-neg59.8%
associate-/r*60.2%
associate-+l+60.2%
unpow260.2%
times-frac43.5%
sqr-neg43.5%
times-frac60.2%
unpow260.2%
Simplified60.2%
Taylor expanded in k around 0 59.8%
*-commutative59.8%
associate-/r*59.8%
Simplified59.8%
add-cube-cbrt59.8%
pow259.8%
cbrt-div59.8%
unpow259.8%
cbrt-prod59.8%
unpow259.8%
unpow359.8%
add-cbrt-cube59.8%
cbrt-div59.8%
unpow259.8%
cbrt-prod60.2%
unpow260.2%
unpow360.2%
add-cbrt-cube84.7%
Applied egg-rr84.7%
pow-plus84.7%
metadata-eval84.7%
Simplified84.7%
if 1.31999999999999998e199 < t Initial program 64.8%
associate-/r*69.9%
+-commutative69.9%
associate-+r+69.9%
metadata-eval69.9%
associate-*r*69.9%
*-commutative69.9%
associate-*l/69.9%
associate-*r/69.9%
Applied egg-rr69.9%
Taylor expanded in k around 0 69.9%
associate-/l*69.9%
Simplified69.9%
Final simplification45.6%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= l 4e+132)
(/ 2.0 (pow (* (/ k (/ l (sqrt 2.0))) (sqrt (pow t_m 3.0))) 2.0))
(/ (pow (/ (pow (cbrt l) 2.0) t_m) 3.0) (pow k 2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 4e+132) {
tmp = 2.0 / pow(((k / (l / sqrt(2.0))) * sqrt(pow(t_m, 3.0))), 2.0);
} else {
tmp = pow((pow(cbrt(l), 2.0) / t_m), 3.0) / pow(k, 2.0);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 4e+132) {
tmp = 2.0 / Math.pow(((k / (l / Math.sqrt(2.0))) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
} else {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t_m), 3.0) / Math.pow(k, 2.0);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (l <= 4e+132) tmp = Float64(2.0 / (Float64(Float64(k / Float64(l / sqrt(2.0))) * sqrt((t_m ^ 3.0))) ^ 2.0)); else tmp = Float64((Float64((cbrt(l) ^ 2.0) / t_m) ^ 3.0) / (k ^ 2.0)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[l, 4e+132], N[(2.0 / N[Power[N[(N[(k / N[(l / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \leq 4 \cdot 10^{+132}:\\
\;\;\;\;\frac{2}{{\left(\frac{k}{\frac{\ell}{\sqrt{2}}} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t\_m}\right)}^{3}}{{k}^{2}}\\
\end{array}
\end{array}
if l < 3.99999999999999996e132Initial program 59.3%
associate-/r*65.6%
+-commutative65.6%
associate-+r+65.6%
metadata-eval65.6%
associate-*r*65.6%
*-commutative65.6%
associate-*l/66.9%
associate-*r/66.5%
Applied egg-rr66.5%
add-sqr-sqrt26.9%
pow226.9%
associate-/l*28.2%
*-commutative28.2%
Applied egg-rr28.2%
Taylor expanded in k around 0 30.8%
associate-/l*30.8%
Simplified30.8%
if 3.99999999999999996e132 < l Initial program 42.6%
associate-/r*42.6%
sqr-neg42.6%
associate-*l*42.6%
sqr-neg42.6%
associate-/r*51.1%
associate-+l+51.1%
unpow251.1%
times-frac37.8%
sqr-neg37.8%
times-frac51.1%
unpow251.1%
Simplified51.1%
Taylor expanded in k around 0 44.9%
*-commutative44.9%
associate-/r*44.9%
Simplified44.9%
add-cube-cbrt44.9%
pow244.9%
cbrt-div44.9%
unpow244.9%
cbrt-prod44.9%
unpow244.9%
unpow344.9%
add-cbrt-cube44.9%
cbrt-div44.9%
unpow244.9%
cbrt-prod49.3%
unpow249.3%
unpow349.3%
add-cbrt-cube57.9%
Applied egg-rr57.9%
pow-plus58.0%
metadata-eval58.0%
Simplified58.0%
Final simplification35.5%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= l 8.2e-8)
(/
2.0
(/
(* (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))) (/ (* k (pow t_m 3.0)) l))
l))
(* (pow (/ (pow (cbrt l) 2.0) t_m) 3.0) (pow k -2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 8.2e-8) {
tmp = 2.0 / (((tan(k) * (2.0 + pow((k / t_m), 2.0))) * ((k * pow(t_m, 3.0)) / l)) / l);
} else {
tmp = pow((pow(cbrt(l), 2.0) / t_m), 3.0) * pow(k, -2.0);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 8.2e-8) {
tmp = 2.0 / (((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * ((k * Math.pow(t_m, 3.0)) / l)) / l);
} else {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t_m), 3.0) * Math.pow(k, -2.0);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (l <= 8.2e-8) tmp = Float64(2.0 / Float64(Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(Float64(k * (t_m ^ 3.0)) / l)) / l)); else tmp = Float64((Float64((cbrt(l) ^ 2.0) / t_m) ^ 3.0) * (k ^ -2.0)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[l, 8.2e-8], N[(2.0 / N[(N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \leq 8.2 \cdot 10^{-8}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k \cdot {t\_m}^{3}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t\_m}\right)}^{3} \cdot {k}^{-2}\\
\end{array}
\end{array}
if l < 8.20000000000000063e-8Initial program 58.8%
associate-/r*65.8%
+-commutative65.8%
associate-+r+65.8%
metadata-eval65.8%
associate-*r*65.8%
*-commutative65.8%
associate-*l/67.2%
associate-*r/66.8%
Applied egg-rr66.8%
Taylor expanded in k around 0 63.3%
if 8.20000000000000063e-8 < l Initial program 49.7%
associate-/r*49.7%
sqr-neg49.7%
associate-*l*49.7%
sqr-neg49.7%
associate-/r*55.4%
associate-+l+55.4%
unpow255.4%
times-frac43.5%
sqr-neg43.5%
times-frac55.4%
unpow255.4%
Simplified55.4%
Taylor expanded in k around 0 54.5%
*-commutative54.5%
associate-/r*54.4%
Simplified54.4%
add-cube-cbrt54.4%
pow254.4%
div-inv54.4%
cbrt-prod54.4%
cbrt-div54.4%
unpow254.4%
cbrt-prod54.4%
unpow254.4%
unpow354.4%
add-cbrt-cube54.4%
pow-flip54.4%
metadata-eval54.4%
div-inv54.4%
Applied egg-rr64.1%
pow-plus64.1%
metadata-eval64.1%
cube-prod63.2%
rem-cube-cbrt63.1%
Simplified63.1%
Final simplification63.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= l 7.2e-8)
(/
2.0
(/
(* (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))) (/ (* k (pow t_m 3.0)) l))
l))
(/ (pow (/ (pow (cbrt l) 2.0) t_m) 3.0) (pow k 2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 7.2e-8) {
tmp = 2.0 / (((tan(k) * (2.0 + pow((k / t_m), 2.0))) * ((k * pow(t_m, 3.0)) / l)) / l);
} else {
tmp = pow((pow(cbrt(l), 2.0) / t_m), 3.0) / pow(k, 2.0);
}
return t_s * tmp;
}
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (l <= 7.2e-8) {
tmp = 2.0 / (((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * ((k * Math.pow(t_m, 3.0)) / l)) / l);
} else {
tmp = Math.pow((Math.pow(Math.cbrt(l), 2.0) / t_m), 3.0) / Math.pow(k, 2.0);
}
return t_s * tmp;
}
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (l <= 7.2e-8) tmp = Float64(2.0 / Float64(Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(Float64(k * (t_m ^ 3.0)) / l)) / l)); else tmp = Float64((Float64((cbrt(l) ^ 2.0) / t_m) ^ 3.0) / (k ^ 2.0)); end return Float64(t_s * tmp) end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[l, 7.2e-8], N[(2.0 / N[(N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \leq 7.2 \cdot 10^{-8}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k \cdot {t\_m}^{3}}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\frac{{\left(\sqrt[3]{\ell}\right)}^{2}}{t\_m}\right)}^{3}}{{k}^{2}}\\
\end{array}
\end{array}
if l < 7.19999999999999962e-8Initial program 58.8%
associate-/r*65.8%
+-commutative65.8%
associate-+r+65.8%
metadata-eval65.8%
associate-*r*65.8%
*-commutative65.8%
associate-*l/67.2%
associate-*r/66.8%
Applied egg-rr66.8%
Taylor expanded in k around 0 63.3%
if 7.19999999999999962e-8 < l Initial program 49.7%
associate-/r*49.7%
sqr-neg49.7%
associate-*l*49.7%
sqr-neg49.7%
associate-/r*55.4%
associate-+l+55.4%
unpow255.4%
times-frac43.5%
sqr-neg43.5%
times-frac55.4%
unpow255.4%
Simplified55.4%
Taylor expanded in k around 0 54.5%
*-commutative54.5%
associate-/r*54.4%
Simplified54.4%
add-cube-cbrt54.4%
pow254.4%
cbrt-div54.4%
unpow254.4%
cbrt-prod54.4%
unpow254.4%
unpow354.4%
add-cbrt-cube54.4%
cbrt-div54.4%
unpow254.4%
cbrt-prod57.4%
unpow257.4%
unpow357.4%
add-cbrt-cube63.1%
Applied egg-rr63.1%
pow-plus63.1%
metadata-eval63.1%
Simplified63.1%
Final simplification63.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.8e-133)
(* 2.0 (/ (* (cos k) (pow l 2.0)) (* t_m (pow k 4.0))))
(/
2.0
(/
(* (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))) (/ k (/ l (pow t_m 3.0))))
l)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.8e-133) {
tmp = 2.0 * ((cos(k) * pow(l, 2.0)) / (t_m * pow(k, 4.0)));
} else {
tmp = 2.0 / (((tan(k) * (2.0 + pow((k / t_m), 2.0))) * (k / (l / pow(t_m, 3.0)))) / l);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 3.8d-133) then
tmp = 2.0d0 * ((cos(k) * (l ** 2.0d0)) / (t_m * (k ** 4.0d0)))
else
tmp = 2.0d0 / (((tan(k) * (2.0d0 + ((k / t_m) ** 2.0d0))) * (k / (l / (t_m ** 3.0d0)))) / l)
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 3.8e-133) {
tmp = 2.0 * ((Math.cos(k) * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / (((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * (k / (l / Math.pow(t_m, 3.0)))) / l);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 3.8e-133: tmp = 2.0 * ((math.cos(k) * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0))) else: tmp = 2.0 / (((math.tan(k) * (2.0 + math.pow((k / t_m), 2.0))) * (k / (l / math.pow(t_m, 3.0)))) / l) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 3.8e-133) tmp = Float64(2.0 * Float64(Float64(cos(k) * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(k / Float64(l / (t_m ^ 3.0)))) / l)); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 3.8e-133) tmp = 2.0 * ((cos(k) * (l ^ 2.0)) / (t_m * (k ^ 4.0))); else tmp = 2.0 / (((tan(k) * (2.0 + ((k / t_m) ^ 2.0))) * (k / (l / (t_m ^ 3.0)))) / l); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 3.8e-133], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(k / N[(l / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.8 \cdot 10^{-133}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k}{\frac{\ell}{{t\_m}^{3}}}}{\ell}}\\
\end{array}
\end{array}
if t < 3.8000000000000003e-133Initial program 49.7%
associate-/r*49.8%
sqr-neg49.8%
associate-*l*45.6%
sqr-neg45.6%
associate-/r*53.0%
associate-+l+53.0%
unpow253.0%
times-frac33.5%
sqr-neg33.5%
times-frac53.0%
unpow253.0%
Simplified53.0%
Taylor expanded in t around 0 63.6%
Taylor expanded in k around 0 52.5%
if 3.8000000000000003e-133 < t Initial program 69.5%
associate-/r*74.8%
+-commutative74.8%
associate-+r+74.8%
metadata-eval74.8%
associate-*r*74.8%
*-commutative74.8%
associate-*l/77.0%
associate-*r/76.0%
Applied egg-rr76.0%
Taylor expanded in k around 0 69.5%
associate-/l*69.4%
Simplified69.4%
Final simplification58.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.4e-130)
(* 2.0 (/ (* (cos k) (pow l 2.0)) (* t_m (pow k 4.0))))
(/
2.0
(/
(* (* (tan k) (+ 2.0 (pow (/ k t_m) 2.0))) (/ (* k (pow t_m 3.0)) l))
l)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.4e-130) {
tmp = 2.0 * ((cos(k) * pow(l, 2.0)) / (t_m * pow(k, 4.0)));
} else {
tmp = 2.0 / (((tan(k) * (2.0 + pow((k / t_m), 2.0))) * ((k * pow(t_m, 3.0)) / l)) / l);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (t_m <= 1.4d-130) then
tmp = 2.0d0 * ((cos(k) * (l ** 2.0d0)) / (t_m * (k ** 4.0d0)))
else
tmp = 2.0d0 / (((tan(k) * (2.0d0 + ((k / t_m) ** 2.0d0))) * ((k * (t_m ** 3.0d0)) / l)) / l)
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (t_m <= 1.4e-130) {
tmp = 2.0 * ((Math.cos(k) * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0)));
} else {
tmp = 2.0 / (((Math.tan(k) * (2.0 + Math.pow((k / t_m), 2.0))) * ((k * Math.pow(t_m, 3.0)) / l)) / l);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if t_m <= 1.4e-130: tmp = 2.0 * ((math.cos(k) * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0))) else: tmp = 2.0 / (((math.tan(k) * (2.0 + math.pow((k / t_m), 2.0))) * ((k * math.pow(t_m, 3.0)) / l)) / l) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (t_m <= 1.4e-130) tmp = Float64(2.0 * Float64(Float64(cos(k) * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(Float64(tan(k) * Float64(2.0 + (Float64(k / t_m) ^ 2.0))) * Float64(Float64(k * (t_m ^ 3.0)) / l)) / l)); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (t_m <= 1.4e-130) tmp = 2.0 * ((cos(k) * (l ^ 2.0)) / (t_m * (k ^ 4.0))); else tmp = 2.0 / (((tan(k) * (2.0 + ((k / t_m) ^ 2.0))) * ((k * (t_m ^ 3.0)) / l)) / l); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[t$95$m, 1.4e-130], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.4 \cdot 10^{-130}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right) \cdot \frac{k \cdot {t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 1.40000000000000008e-130Initial program 49.7%
associate-/r*49.8%
sqr-neg49.8%
associate-*l*45.6%
sqr-neg45.6%
associate-/r*53.0%
associate-+l+53.0%
unpow253.0%
times-frac33.5%
sqr-neg33.5%
times-frac53.0%
unpow253.0%
Simplified53.0%
Taylor expanded in t around 0 63.6%
Taylor expanded in k around 0 52.5%
if 1.40000000000000008e-130 < t Initial program 69.5%
associate-/r*74.8%
+-commutative74.8%
associate-+r+74.8%
metadata-eval74.8%
associate-*r*74.8%
*-commutative74.8%
associate-*l/77.0%
associate-*r/76.0%
Applied egg-rr76.0%
Taylor expanded in k around 0 69.5%
Final simplification58.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 5.9e-21)
(/ 2.0 (/ (/ (* 2.0 (* (pow k 2.0) (pow t_m 3.0))) l) l))
(* 2.0 (/ (* (cos k) (pow l 2.0)) (* t_m (pow k 4.0)))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.9e-21) {
tmp = 2.0 / (((2.0 * (pow(k, 2.0) * pow(t_m, 3.0))) / l) / l);
} else {
tmp = 2.0 * ((cos(k) * pow(l, 2.0)) / (t_m * pow(k, 4.0)));
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 5.9d-21) then
tmp = 2.0d0 / (((2.0d0 * ((k ** 2.0d0) * (t_m ** 3.0d0))) / l) / l)
else
tmp = 2.0d0 * ((cos(k) * (l ** 2.0d0)) / (t_m * (k ** 4.0d0)))
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 5.9e-21) {
tmp = 2.0 / (((2.0 * (Math.pow(k, 2.0) * Math.pow(t_m, 3.0))) / l) / l);
} else {
tmp = 2.0 * ((Math.cos(k) * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0)));
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 5.9e-21: tmp = 2.0 / (((2.0 * (math.pow(k, 2.0) * math.pow(t_m, 3.0))) / l) / l) else: tmp = 2.0 * ((math.cos(k) * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0))) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 5.9e-21) tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * Float64((k ^ 2.0) * (t_m ^ 3.0))) / l) / l)); else tmp = Float64(2.0 * Float64(Float64(cos(k) * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0)))); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 5.9e-21) tmp = 2.0 / (((2.0 * ((k ^ 2.0) * (t_m ^ 3.0))) / l) / l); else tmp = 2.0 * ((cos(k) * (l ^ 2.0)) / (t_m * (k ^ 4.0))); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 5.9e-21], N[(2.0 / N[(N[(N[(2.0 * N[(N[Power[k, 2.0], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Cos[k], $MachinePrecision] * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 5.9 \cdot 10^{-21}:\\
\;\;\;\;\frac{2}{\frac{\frac{2 \cdot \left({k}^{2} \cdot {t\_m}^{3}\right)}{\ell}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\cos k \cdot {\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 5.9000000000000003e-21Initial program 59.5%
associate-/r*66.9%
+-commutative66.9%
associate-+r+66.9%
metadata-eval66.9%
associate-*r*66.9%
*-commutative66.9%
associate-*l/68.5%
associate-*r/68.0%
Applied egg-rr68.0%
Taylor expanded in k around 0 63.2%
associate-*r/63.2%
Simplified63.2%
if 5.9000000000000003e-21 < k Initial program 49.2%
associate-/r*49.2%
sqr-neg49.2%
associate-*l*49.2%
sqr-neg49.2%
associate-/r*54.3%
associate-+l+54.3%
unpow254.3%
times-frac41.6%
sqr-neg41.6%
times-frac54.3%
unpow254.3%
Simplified54.3%
Taylor expanded in t around 0 70.1%
Taylor expanded in k around 0 55.5%
Final simplification60.9%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (/ (* 2.0 (/ (pow k 2.0) (/ l (pow t_m 3.0)))) l))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (pow(k, 2.0) / (l / pow(t_m, 3.0)))) / l));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((2.0d0 * ((k ** 2.0d0) / (l / (t_m ** 3.0d0)))) / l))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((2.0 * (Math.pow(k, 2.0) / (l / Math.pow(t_m, 3.0)))) / l));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((2.0 * (math.pow(k, 2.0) / (l / math.pow(t_m, 3.0)))) / l))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(2.0 * Float64((k ^ 2.0) / Float64(l / (t_m ^ 3.0)))) / l))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((2.0 * ((k ^ 2.0) / (l / (t_m ^ 3.0)))) / l)); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(2.0 * N[(N[Power[k, 2.0], $MachinePrecision] / N[(l / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{2 \cdot \frac{{k}^{2}}{\frac{\ell}{{t\_m}^{3}}}}{\ell}}
\end{array}
Initial program 56.4%
associate-/r*63.1%
+-commutative63.1%
associate-+r+63.1%
metadata-eval63.1%
associate-*r*63.1%
*-commutative63.1%
associate-*l/64.2%
associate-*r/63.9%
Applied egg-rr63.9%
Taylor expanded in k around 0 58.5%
associate-/l*58.3%
Simplified58.3%
Final simplification58.3%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (/ (/ (* 2.0 (* (pow k 2.0) (pow t_m 3.0))) l) l))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / (((2.0 * (pow(k, 2.0) * pow(t_m, 3.0))) / l) / 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 ** 2.0d0) * (t_m ** 3.0d0))) / l) / 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 * (Math.pow(k, 2.0) * Math.pow(t_m, 3.0))) / l) / 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 * (math.pow(k, 2.0) * math.pow(t_m, 3.0))) / l) / l))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(Float64(2.0 * Float64((k ^ 2.0) * (t_m ^ 3.0))) / l) / 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 ^ 2.0) * (t_m ^ 3.0))) / l) / l)); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(N[(2.0 * N[(N[Power[k, 2.0], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{\frac{\frac{2 \cdot \left({k}^{2} \cdot {t\_m}^{3}\right)}{\ell}}{\ell}}
\end{array}
Initial program 56.4%
associate-/r*63.1%
+-commutative63.1%
associate-+r+63.1%
metadata-eval63.1%
associate-*r*63.1%
*-commutative63.1%
associate-*l/64.2%
associate-*r/63.9%
Applied egg-rr63.9%
Taylor expanded in k around 0 58.5%
associate-*r/58.5%
Simplified58.5%
Final simplification58.5%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* 2.0 (/ 1.0 (/ t_m (/ (pow l 2.0) (pow k 4.0)))))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 * (1.0 / (t_m / (pow(l, 2.0) / pow(k, 4.0)))));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 * (1.0d0 / (t_m / ((l ** 2.0d0) / (k ** 4.0d0)))))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 * (1.0 / (t_m / (Math.pow(l, 2.0) / Math.pow(k, 4.0)))));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 * (1.0 / (t_m / (math.pow(l, 2.0) / math.pow(k, 4.0)))))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 * Float64(1.0 / Float64(t_m / Float64((l ^ 2.0) / (k ^ 4.0)))))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 * (1.0 / (t_m / ((l ^ 2.0) / (k ^ 4.0))))); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 * N[(1.0 / N[(t$95$m / N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(2 \cdot \frac{1}{\frac{t\_m}{\frac{{\ell}^{2}}{{k}^{4}}}}\right)
\end{array}
Initial program 56.4%
associate-/r*56.4%
sqr-neg56.4%
associate-*l*52.8%
sqr-neg52.8%
associate-/r*59.1%
associate-+l+59.1%
unpow259.1%
times-frac44.6%
sqr-neg44.6%
times-frac59.1%
unpow259.1%
Simplified59.1%
Taylor expanded in t around 0 64.1%
Taylor expanded in k around 0 54.3%
clear-num54.6%
inv-pow54.6%
*-commutative54.6%
Applied egg-rr54.6%
unpow-154.6%
associate-/l*54.5%
Simplified54.5%
Final simplification54.5%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* 2.0 (/ (pow l 2.0) (* t_m (pow k 4.0))))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 * (pow(l, 2.0) / (t_m * pow(k, 4.0))));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 * ((l ** 2.0d0) / (t_m * (k ** 4.0d0))))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 * (Math.pow(l, 2.0) / (t_m * Math.pow(k, 4.0))));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 * (math.pow(l, 2.0) / (t_m * math.pow(k, 4.0))))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 * Float64((l ^ 2.0) / Float64(t_m * (k ^ 4.0))))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 * ((l ^ 2.0) / (t_m * (k ^ 4.0)))); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 * N[(N[Power[l, 2.0], $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\right)
\end{array}
Initial program 56.4%
associate-/r*56.4%
sqr-neg56.4%
associate-*l*52.8%
sqr-neg52.8%
associate-/r*59.1%
associate-+l+59.1%
unpow259.1%
times-frac44.6%
sqr-neg44.6%
times-frac59.1%
unpow259.1%
Simplified59.1%
Taylor expanded in t around 0 64.1%
Taylor expanded in k around 0 54.3%
Final simplification54.3%
herbie shell --seed 2024041
(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))))