
(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 5.8e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(/
2.0
(pow
(*
(/ t_m (pow (cbrt l) 2.0))
(* (cbrt (sin k)) (cbrt (* (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 tmp;
if (t_m <= 5.8e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (cbrt(sin(k)) * cbrt((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 tmp;
if (t_m <= 5.8e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} 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) * (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) tmp = 0.0 if (t_m <= 5.8e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(cbrt(sin(k)) * cbrt(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_] := N[(t$95$s * If[LessEqual[t$95$m, 5.8e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $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[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision]), $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 5.8 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}\right)\right)}^{3}}\\
\end{array}
\end{array}
if t < 5.7999999999999997e-77Initial program 49.2%
Simplified52.9%
associate-/l/52.9%
associate-/r/52.9%
times-frac53.3%
div-inv53.3%
clear-num53.3%
Applied egg-rr53.3%
Taylor expanded in k around inf 69.3%
*-commutative69.3%
Simplified69.3%
if 5.7999999999999997e-77 < t Initial program 66.1%
+-commutative66.1%
associate-+r+66.1%
metadata-eval66.1%
associate-*l*59.6%
associate-/r*64.7%
add-cube-cbrt64.6%
pow364.6%
Applied egg-rr76.7%
pow1/355.7%
associate-*l*55.7%
unpow-prod-down35.3%
pow1/353.2%
Applied egg-rr53.2%
unpow1/392.0%
*-commutative92.0%
Simplified92.0%
Final simplification76.4%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0)))
(t_3 (* t_2 (* (tan k) (* (sin k) (/ (pow t_m 3.0) (* l l)))))))
(*
t_s
(if (<= t_3 4e+263)
(/ 2.0 (* (* (tan k) (* (sin k) (* (/ (pow t_m 2.0) l) (/ t_m l)))) t_2))
(if (<= t_3 INFINITY)
(/ (pow l 2.0) (pow (* t_m (pow (cbrt k) 2.0)) 3.0))
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan 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 = 1.0 + (pow((k / t_m), 2.0) + 1.0);
double t_3 = t_2 * (tan(k) * (sin(k) * (pow(t_m, 3.0) / (l * l))));
double tmp;
if (t_3 <= 4e+263) {
tmp = 2.0 / ((tan(k) * (sin(k) * ((pow(t_m, 2.0) / l) * (t_m / l)))) * t_2);
} else if (t_3 <= ((double) INFINITY)) {
tmp = pow(l, 2.0) / pow((t_m * pow(cbrt(k), 2.0)), 3.0);
} else {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(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 = 1.0 + (Math.pow((k / t_m), 2.0) + 1.0);
double t_3 = t_2 * (Math.tan(k) * (Math.sin(k) * (Math.pow(t_m, 3.0) / (l * l))));
double tmp;
if (t_3 <= 4e+263) {
tmp = 2.0 / ((Math.tan(k) * (Math.sin(k) * ((Math.pow(t_m, 2.0) / l) * (t_m / l)))) * t_2);
} else if (t_3 <= Double.POSITIVE_INFINITY) {
tmp = Math.pow(l, 2.0) / Math.pow((t_m * Math.pow(Math.cbrt(k), 2.0)), 3.0);
} else {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(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(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)) t_3 = Float64(t_2 * Float64(tan(k) * Float64(sin(k) * Float64((t_m ^ 3.0) / Float64(l * l))))) tmp = 0.0 if (t_3 <= 4e+263) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l)))) * t_2)); elseif (t_3 <= Inf) tmp = Float64((l ^ 2.0) / (Float64(t_m * (cbrt(k) ^ 2.0)) ^ 3.0)); else tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(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[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * 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]}, N[(t$95$s * If[LessEqual[t$95$3, 4e+263], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, Infinity], N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $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 := 1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\\
t_3 := t\_2 \cdot \left(\tan k \cdot \left(\sin k \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_3 \leq 4 \cdot 10^{+263}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)\right) \cdot t\_2}\\
\mathbf{elif}\;t\_3 \leq \infty:\\
\;\;\;\;\frac{{\ell}^{2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\end{array}
\end{array}
\end{array}
if (*.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)) < 4.00000000000000006e263Initial program 88.1%
unpow388.1%
times-frac92.8%
pow292.8%
Applied egg-rr92.8%
if 4.00000000000000006e263 < (*.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)) < +inf.0Initial program 78.2%
Simplified78.2%
Taylor expanded in k around 0 63.6%
*-commutative63.6%
Simplified63.6%
add-cube-cbrt63.6%
pow363.6%
cbrt-prod63.6%
unpow363.6%
add-cbrt-cube68.6%
unpow268.6%
cbrt-prod93.7%
pow293.7%
Applied egg-rr93.7%
if +inf.0 < (*.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 0.0%
Simplified6.5%
associate-/l/6.5%
associate-/r/6.5%
times-frac6.4%
div-inv6.4%
clear-num6.4%
Applied egg-rr6.4%
Taylor expanded in k around inf 49.4%
*-commutative49.4%
Simplified49.4%
Final simplification77.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))) (t_3 (/ 2.0 (sin k))))
(*
t_s
(if (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(if (<= t_m 6.4e+195)
(*
t_2
(/ (pow (/ (cbrt (* l t_3)) t_m) 3.0) (+ 2.0 (pow (/ k t_m) 2.0))))
(/
(pow (* (cbrt t_3) (/ (/ 1.0 t_m) (pow (cbrt l) -2.0))) 3.0)
(/ (* 2.0 (sin k)) (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 t_2 = l / tan(k);
double t_3 = 2.0 / sin(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else if (t_m <= 6.4e+195) {
tmp = t_2 * (pow((cbrt((l * t_3)) / t_m), 3.0) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = pow((cbrt(t_3) * ((1.0 / t_m) / pow(cbrt(l), -2.0))), 3.0) / ((2.0 * sin(k)) / 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 t_2 = l / Math.tan(k);
double t_3 = 2.0 / Math.sin(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else if (t_m <= 6.4e+195) {
tmp = t_2 * (Math.pow((Math.cbrt((l * t_3)) / t_m), 3.0) / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = Math.pow((Math.cbrt(t_3) * ((1.0 / t_m) / Math.pow(Math.cbrt(l), -2.0))), 3.0) / ((2.0 * Math.sin(k)) / 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) t_2 = Float64(l / tan(k)) t_3 = Float64(2.0 / sin(k)) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); elseif (t_m <= 6.4e+195) tmp = Float64(t_2 * Float64((Float64(cbrt(Float64(l * t_3)) / t_m) ^ 3.0) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64((Float64(cbrt(t_3) * Float64(Float64(1.0 / t_m) / (cbrt(l) ^ -2.0))) ^ 3.0) / Float64(Float64(2.0 * sin(k)) / 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_] := Block[{t$95$2 = N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 6.4e+195], N[(t$95$2 * N[(N[Power[N[(N[Power[N[(l * t$95$3), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[t$95$3, 1/3], $MachinePrecision] * N[(N[(1.0 / t$95$m), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[(N[(2.0 * N[Sin[k], $MachinePrecision]), $MachinePrecision] / N[Cos[k], $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}{\tan k}\\
t_3 := \frac{2}{\sin k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{elif}\;t\_m \leq 6.4 \cdot 10^{+195}:\\
\;\;\;\;t\_2 \cdot \frac{{\left(\frac{\sqrt[3]{\ell \cdot t\_3}}{t\_m}\right)}^{3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\sqrt[3]{t\_3} \cdot \frac{\frac{1}{t\_m}}{{\left(\sqrt[3]{\ell}\right)}^{-2}}\right)}^{3}}{\frac{2 \cdot \sin k}{\cos k}}\\
\end{array}
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 6.39999999999999965e195Initial program 65.1%
Simplified70.7%
associate-/l/70.7%
associate-/r/72.5%
times-frac72.6%
div-inv72.5%
clear-num72.5%
Applied egg-rr72.5%
add-cube-cbrt72.3%
pow372.3%
associate-*r/72.3%
cbrt-div72.3%
unpow372.3%
add-cbrt-cube89.2%
Applied egg-rr89.2%
if 6.39999999999999965e195 < t Initial program 71.0%
Simplified75.9%
associate-/l/75.9%
add-cube-cbrt75.9%
times-frac75.9%
Applied egg-rr99.0%
frac-times99.0%
unpow299.0%
pow399.0%
unpow299.0%
cbrt-prod79.5%
unpow279.5%
Applied egg-rr79.5%
div-inv79.5%
unpow279.5%
cbrt-prod99.0%
unpow299.0%
div-inv99.0%
pow-flip99.0%
metadata-eval99.0%
Applied egg-rr99.0%
associate-/r*98.8%
Simplified98.8%
Taylor expanded in t around inf 94.9%
*-commutative94.9%
associate-*l/94.9%
Simplified94.9%
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 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(/
(pow (* (cbrt (/ 2.0 (sin k))) (/ (/ 1.0 t_m) (pow (cbrt l) -2.0))) 3.0)
(* (tan k) (+ 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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else {
tmp = pow((cbrt((2.0 / sin(k))) * ((1.0 / t_m) / pow(cbrt(l), -2.0))), 3.0) / (tan(k) * (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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else {
tmp = Math.pow((Math.cbrt((2.0 / Math.sin(k))) * ((1.0 / t_m) / Math.pow(Math.cbrt(l), -2.0))), 3.0) / (Math.tan(k) * (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) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); else tmp = Float64((Float64(cbrt(Float64(2.0 / sin(k))) * Float64(Float64(1.0 / t_m) / (cbrt(l) ^ -2.0))) ^ 3.0) / Float64(tan(k) * 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_] := N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[(N[(1.0 / t$95$m), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[(N[Tan[k], $MachinePrecision] * N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\sqrt[3]{\frac{2}{\sin k}} \cdot \frac{\frac{1}{t\_m}}{{\left(\sqrt[3]{\ell}\right)}^{-2}}\right)}^{3}}{\tan k \cdot \left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right)}\\
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t Initial program 66.9%
Simplified72.3%
associate-/l/72.3%
add-cube-cbrt72.1%
times-frac72.1%
Applied egg-rr93.2%
frac-times90.8%
unpow290.8%
pow390.8%
unpow290.8%
cbrt-prod75.6%
unpow275.6%
Applied egg-rr75.6%
div-inv75.6%
unpow275.6%
cbrt-prod90.9%
unpow290.9%
div-inv90.9%
pow-flip90.9%
metadata-eval90.9%
Applied egg-rr90.9%
associate-/r*90.9%
Simplified90.9%
Final simplification75.7%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))))
(*
t_s
(if (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(if (<= t_m 2.5e+181)
(*
t_2
(/
(pow (/ (cbrt (* l (/ 2.0 (sin k)))) t_m) 3.0)
(+ 2.0 (pow (/ k t_m) 2.0))))
(/
2.0
(pow
(*
(/ t_m (pow (cbrt l) 2.0))
(* (cbrt (sin k)) (* (cbrt k) (cbrt 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 = l / tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else if (t_m <= 2.5e+181) {
tmp = t_2 * (pow((cbrt((l * (2.0 / sin(k)))) / t_m), 3.0) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (cbrt(sin(k)) * (cbrt(k) * cbrt(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 = l / Math.tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else if (t_m <= 2.5e+181) {
tmp = t_2 * (Math.pow((Math.cbrt((l * (2.0 / Math.sin(k)))) / t_m), 3.0) / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.cbrt(Math.sin(k)) * (Math.cbrt(k) * Math.cbrt(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(l / tan(k)) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); elseif (t_m <= 2.5e+181) tmp = Float64(t_2 * Float64((Float64(cbrt(Float64(l * Float64(2.0 / sin(k)))) / t_m) ^ 3.0) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(cbrt(sin(k)) * Float64(cbrt(k) * cbrt(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[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 2.5e+181], N[(t$95$2 * N[(N[Power[N[(N[Power[N[(l * N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $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[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[(N[Power[k, 1/3], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision]), $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{\ell}{\tan k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{elif}\;t\_m \leq 2.5 \cdot 10^{+181}:\\
\;\;\;\;t\_2 \cdot \frac{{\left(\frac{\sqrt[3]{\ell \cdot \frac{2}{\sin k}}}{t\_m}\right)}^{3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{\sin k} \cdot \left(\sqrt[3]{k} \cdot \sqrt[3]{2}\right)\right)\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 2.5000000000000002e181Initial program 65.7%
Simplified71.4%
associate-/l/71.4%
associate-/r/73.3%
times-frac73.4%
div-inv73.3%
clear-num73.3%
Applied egg-rr73.3%
add-cube-cbrt73.1%
pow373.1%
associate-*r/73.1%
cbrt-div73.1%
unpow373.1%
add-cbrt-cube89.1%
Applied egg-rr89.1%
if 2.5000000000000002e181 < t Initial program 69.5%
+-commutative69.5%
associate-+r+69.5%
metadata-eval69.5%
associate-*l*57.7%
associate-/r*62.0%
add-cube-cbrt62.0%
pow362.0%
Applied egg-rr69.7%
pow1/335.0%
associate-*l*35.0%
unpow-prod-down37.4%
pow1/360.6%
Applied egg-rr60.6%
unpow1/398.7%
*-commutative98.7%
Simplified98.7%
Taylor expanded in k around 0 95.4%
*-commutative91.9%
Simplified95.4%
cbrt-prod95.4%
Applied egg-rr95.4%
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 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(/
(/
(pow (/ (cbrt (/ 2.0 (sin k))) (/ t_m (pow (cbrt l) 2.0))) 3.0)
(tan k))
(+ 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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else {
tmp = (pow((cbrt((2.0 / sin(k))) / (t_m / pow(cbrt(l), 2.0))), 3.0) / tan(k)) / (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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else {
tmp = (Math.pow((Math.cbrt((2.0 / Math.sin(k))) / (t_m / Math.pow(Math.cbrt(l), 2.0))), 3.0) / Math.tan(k)) / (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) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); else tmp = Float64(Float64((Float64(cbrt(Float64(2.0 / sin(k))) / Float64(t_m / (cbrt(l) ^ 2.0))) ^ 3.0) / tan(k)) / 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_] := N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Power[N[(N[Power[N[(2.0 / N[Sin[k], $MachinePrecision]), $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[Tan[k], $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{{\left(\frac{\sqrt[3]{\frac{2}{\sin k}}}{\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}}\right)}^{3}}{\tan k}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t Initial program 66.9%
Simplified72.3%
add-cube-cbrt72.1%
pow272.1%
cbrt-div72.1%
associate-/r*66.9%
cbrt-div66.9%
rem-cbrt-cube66.8%
cbrt-prod72.1%
pow272.1%
cbrt-div72.1%
associate-/r*66.9%
cbrt-div68.0%
rem-cbrt-cube75.6%
cbrt-prod90.8%
pow290.8%
Applied egg-rr90.8%
unpow290.8%
unpow390.8%
Simplified90.8%
Final simplification75.7%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))))
(*
t_s
(if (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(if (<= t_m 9e+172)
(*
t_2
(/
(pow (/ (cbrt (* l (/ 2.0 (sin k)))) t_m) 3.0)
(+ 2.0 (pow (/ k t_m) 2.0))))
(/
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 t_2 = l / tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else if (t_m <= 9e+172) {
tmp = t_2 * (pow((cbrt((l * (2.0 / sin(k)))) / t_m), 3.0) / (2.0 + pow((k / t_m), 2.0)));
} 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 t_2 = l / Math.tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else if (t_m <= 9e+172) {
tmp = t_2 * (Math.pow((Math.cbrt((l * (2.0 / Math.sin(k)))) / t_m), 3.0) / (2.0 + Math.pow((k / t_m), 2.0)));
} 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) t_2 = Float64(l / tan(k)) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); elseif (t_m <= 9e+172) tmp = Float64(t_2 * Float64((Float64(cbrt(Float64(l * Float64(2.0 / sin(k)))) / t_m) ^ 3.0) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64(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_] := Block[{t$95$2 = N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 9e+172], N[(t$95$2 * N[(N[Power[N[(N[Power[N[(l * N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $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[(N[Power[N[Sin[k], $MachinePrecision], 1/3], $MachinePrecision] * N[Power[N[(2.0 * k), $MachinePrecision], 1/3], $MachinePrecision]), $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{\ell}{\tan k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{elif}\;t\_m \leq 9 \cdot 10^{+172}:\\
\;\;\;\;t\_2 \cdot \frac{{\left(\frac{\sqrt[3]{\ell \cdot \frac{2}{\sin k}}}{t\_m}\right)}^{3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left(\sqrt[3]{\sin k} \cdot \sqrt[3]{2 \cdot k}\right)\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 9.0000000000000004e172Initial program 65.0%
Simplified70.8%
associate-/l/70.8%
associate-/r/72.7%
times-frac72.9%
div-inv72.8%
clear-num72.8%
Applied egg-rr72.8%
add-cube-cbrt72.6%
pow372.6%
associate-*r/72.6%
cbrt-div72.6%
unpow372.6%
add-cbrt-cube88.9%
Applied egg-rr88.9%
if 9.0000000000000004e172 < t Initial program 70.7%
+-commutative70.7%
associate-+r+70.7%
metadata-eval70.7%
associate-*l*55.6%
associate-/r*59.7%
add-cube-cbrt59.7%
pow359.7%
Applied egg-rr67.1%
pow1/333.7%
associate-*l*33.7%
unpow-prod-down36.1%
pow1/358.4%
Applied egg-rr58.4%
unpow1/398.7%
*-commutative98.7%
Simplified98.7%
Taylor expanded in k around 0 95.6%
*-commutative92.2%
Simplified95.6%
Final simplification75.8%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))) (t_3 (/ 2.0 (sin k))))
(*
t_s
(if (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(if (<= t_m 6.5e+195)
(*
t_2
(/ (pow (/ (cbrt (* l t_3)) t_m) 3.0) (+ 2.0 (pow (/ k t_m) 2.0))))
(/
(pow (* (cbrt t_3) (/ (/ 1.0 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 t_2 = l / tan(k);
double t_3 = 2.0 / sin(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else if (t_m <= 6.5e+195) {
tmp = t_2 * (pow((cbrt((l * t_3)) / t_m), 3.0) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = pow((cbrt(t_3) * ((1.0 / 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 t_2 = l / Math.tan(k);
double t_3 = 2.0 / Math.sin(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else if (t_m <= 6.5e+195) {
tmp = t_2 * (Math.pow((Math.cbrt((l * t_3)) / t_m), 3.0) / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = Math.pow((Math.cbrt(t_3) * ((1.0 / 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) t_2 = Float64(l / tan(k)) t_3 = Float64(2.0 / sin(k)) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); elseif (t_m <= 6.5e+195) tmp = Float64(t_2 * Float64((Float64(cbrt(Float64(l * t_3)) / t_m) ^ 3.0) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64((Float64(cbrt(t_3) * Float64(Float64(1.0 / 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_] := Block[{t$95$2 = N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 6.5e+195], N[(t$95$2 * N[(N[Power[N[(N[Power[N[(l * t$95$3), $MachinePrecision], 1/3], $MachinePrecision] / t$95$m), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[t$95$3, 1/3], $MachinePrecision] * N[(N[(1.0 / t$95$m), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 * k), $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}{\tan k}\\
t_3 := \frac{2}{\sin k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{elif}\;t\_m \leq 6.5 \cdot 10^{+195}:\\
\;\;\;\;t\_2 \cdot \frac{{\left(\frac{\sqrt[3]{\ell \cdot t\_3}}{t\_m}\right)}^{3}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\sqrt[3]{t\_3} \cdot \frac{\frac{1}{t\_m}}{{\left(\sqrt[3]{\ell}\right)}^{-2}}\right)}^{3}}{2 \cdot k}\\
\end{array}
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 6.5000000000000003e195Initial program 65.1%
Simplified70.7%
associate-/l/70.7%
associate-/r/72.5%
times-frac72.6%
div-inv72.5%
clear-num72.5%
Applied egg-rr72.5%
add-cube-cbrt72.3%
pow372.3%
associate-*r/72.3%
cbrt-div72.3%
unpow372.3%
add-cbrt-cube89.2%
Applied egg-rr89.2%
if 6.5000000000000003e195 < t Initial program 71.0%
Simplified75.9%
associate-/l/75.9%
add-cube-cbrt75.9%
times-frac75.9%
Applied egg-rr99.0%
frac-times99.0%
unpow299.0%
pow399.0%
unpow299.0%
cbrt-prod79.5%
unpow279.5%
Applied egg-rr79.5%
div-inv79.5%
unpow279.5%
cbrt-prod99.0%
unpow299.0%
div-inv99.0%
pow-flip99.0%
metadata-eval99.0%
Applied egg-rr99.0%
associate-/r*98.8%
Simplified98.8%
Taylor expanded in k around 0 95.2%
*-commutative95.2%
Simplified95.2%
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 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(if (<= t_m 1.35e+154)
(/
2.0
(*
(* (tan k) (* (sin k) (* (/ (pow t_m 2.0) l) (/ t_m l))))
(+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))))
(/
(pow (* (cbrt (/ 2.0 (sin k))) (/ (/ 1.0 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 <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else if (t_m <= 1.35e+154) {
tmp = 2.0 / ((tan(k) * (sin(k) * ((pow(t_m, 2.0) / l) * (t_m / l)))) * (1.0 + (pow((k / t_m), 2.0) + 1.0)));
} else {
tmp = pow((cbrt((2.0 / sin(k))) * ((1.0 / 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 <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else if (t_m <= 1.35e+154) {
tmp = 2.0 / ((Math.tan(k) * (Math.sin(k) * ((Math.pow(t_m, 2.0) / l) * (t_m / l)))) * (1.0 + (Math.pow((k / t_m), 2.0) + 1.0)));
} else {
tmp = Math.pow((Math.cbrt((2.0 / Math.sin(k))) * ((1.0 / 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 <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); elseif (t_m <= 1.35e+154) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l)))) * Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)))); else tmp = Float64((Float64(cbrt(Float64(2.0 / sin(k))) * Float64(Float64(1.0 / 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, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.35e+154], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(N[Power[N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision], 1/3], $MachinePrecision] * N[(N[(1.0 / t$95$m), $MachinePrecision] / N[Power[N[Power[l, 1/3], $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[(2.0 * k), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{elif}\;t\_m \leq 1.35 \cdot 10^{+154}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)\right) \cdot \left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\left(\sqrt[3]{\frac{2}{\sin k}} \cdot \frac{\frac{1}{t\_m}}{{\left(\sqrt[3]{\ell}\right)}^{-2}}\right)}^{3}}{2 \cdot k}\\
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 1.35000000000000003e154Initial program 64.2%
unpow364.2%
times-frac82.4%
pow282.4%
Applied egg-rr82.4%
if 1.35000000000000003e154 < t Initial program 71.2%
Simplified75.2%
associate-/l/75.2%
add-cube-cbrt75.2%
times-frac75.2%
Applied egg-rr98.9%
frac-times95.9%
unpow295.9%
pow396.0%
unpow296.0%
cbrt-prod77.9%
unpow277.9%
Applied egg-rr77.9%
div-inv77.8%
unpow277.8%
cbrt-prod96.0%
unpow296.0%
div-inv96.1%
pow-flip96.0%
metadata-eval96.0%
Applied egg-rr96.0%
associate-/r*95.9%
Simplified95.9%
Taylor expanded in k around 0 90.2%
*-commutative90.2%
Simplified90.2%
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 (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(if (<= t_m 6.2e+172)
(/
2.0
(*
(* (tan k) (* (sin k) (* (/ (pow t_m 2.0) l) (/ t_m l))))
(+ 1.0 (+ (pow (/ k t_m) 2.0) 1.0))))
(pow (/ (cbrt (pow l 2.0)) (* t_m (pow (cbrt 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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else if (t_m <= 6.2e+172) {
tmp = 2.0 / ((tan(k) * (sin(k) * ((pow(t_m, 2.0) / l) * (t_m / l)))) * (1.0 + (pow((k / t_m), 2.0) + 1.0)));
} else {
tmp = pow((cbrt(pow(l, 2.0)) / (t_m * pow(cbrt(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 tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else if (t_m <= 6.2e+172) {
tmp = 2.0 / ((Math.tan(k) * (Math.sin(k) * ((Math.pow(t_m, 2.0) / l) * (t_m / l)))) * (1.0 + (Math.pow((k / t_m), 2.0) + 1.0)));
} else {
tmp = Math.pow((Math.cbrt(Math.pow(l, 2.0)) / (t_m * Math.pow(Math.cbrt(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) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); elseif (t_m <= 6.2e+172) tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(sin(k) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l)))) * Float64(1.0 + Float64((Float64(k / t_m) ^ 2.0) + 1.0)))); else tmp = Float64(cbrt((l ^ 2.0)) / Float64(t_m * (cbrt(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_] := N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.2e+172], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[Power[N[Power[l, 2.0], $MachinePrecision], 1/3], $MachinePrecision] / N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{elif}\;t\_m \leq 6.2 \cdot 10^{+172}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\sin k \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)\right) \cdot \left(1 + \left({\left(\frac{k}{t\_m}\right)}^{2} + 1\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\sqrt[3]{{\ell}^{2}}}{t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}}\right)}^{3}\\
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 6.19999999999999976e172Initial program 65.0%
unpow365.0%
times-frac81.9%
pow281.9%
Applied egg-rr81.9%
if 6.19999999999999976e172 < t Initial program 70.7%
Simplified75.0%
Taylor expanded in k around 0 55.6%
*-commutative55.6%
Simplified55.6%
add-cube-cbrt55.6%
pow255.6%
cbrt-div55.6%
cbrt-prod55.6%
unpow355.6%
add-cbrt-cube55.6%
unpow255.6%
cbrt-prod55.6%
pow255.6%
cbrt-div55.6%
cbrt-prod55.6%
unpow355.6%
add-cbrt-cube56.5%
unpow256.5%
cbrt-prod81.4%
pow281.4%
Applied egg-rr81.4%
unpow281.4%
unpow381.4%
Simplified81.4%
Final simplification72.9%
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 6.2e-25)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(if (<= t_m 6.6e+163)
(/
2.0
(*
(+ 2.0 (pow (/ k t_m) 2.0))
(* (* t_m (/ (/ (pow t_m 2.0) l) l)) (* (sin k) (tan k)))))
(/ (pow l 2.0) (pow (* t_m (pow (cbrt 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 tmp;
if (t_m <= 6.2e-25) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else if (t_m <= 6.6e+163) {
tmp = 2.0 / ((2.0 + pow((k / t_m), 2.0)) * ((t_m * ((pow(t_m, 2.0) / l) / l)) * (sin(k) * tan(k))));
} else {
tmp = pow(l, 2.0) / pow((t_m * pow(cbrt(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 tmp;
if (t_m <= 6.2e-25) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else if (t_m <= 6.6e+163) {
tmp = 2.0 / ((2.0 + Math.pow((k / t_m), 2.0)) * ((t_m * ((Math.pow(t_m, 2.0) / l) / l)) * (Math.sin(k) * Math.tan(k))));
} else {
tmp = Math.pow(l, 2.0) / Math.pow((t_m * Math.pow(Math.cbrt(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) tmp = 0.0 if (t_m <= 6.2e-25) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); elseif (t_m <= 6.6e+163) tmp = Float64(2.0 / Float64(Float64(2.0 + (Float64(k / t_m) ^ 2.0)) * Float64(Float64(t_m * Float64(Float64((t_m ^ 2.0) / l) / l)) * Float64(sin(k) * tan(k))))); else tmp = Float64((l ^ 2.0) / (Float64(t_m * (cbrt(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_] := N[(t$95$s * If[LessEqual[t$95$m, 6.2e-25], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.6e+163], N[(2.0 / N[(N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$m * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k], $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $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 6.2 \cdot 10^{-25}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{elif}\;t\_m \leq 6.6 \cdot 10^{+163}:\\
\;\;\;\;\frac{2}{\left(2 + {\left(\frac{k}{t\_m}\right)}^{2}\right) \cdot \left(\left(t\_m \cdot \frac{\frac{{t\_m}^{2}}{\ell}}{\ell}\right) \cdot \left(\sin k \cdot \tan k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\ell}^{2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
if t < 6.19999999999999989e-25Initial program 50.0%
Simplified53.5%
associate-/l/53.5%
associate-/r/53.5%
times-frac53.9%
div-inv53.9%
clear-num54.0%
Applied egg-rr54.0%
Taylor expanded in k around inf 69.1%
*-commutative69.1%
Simplified69.1%
if 6.19999999999999989e-25 < t < 6.5999999999999999e163Initial program 62.0%
Simplified69.2%
cube-mult69.2%
*-un-lft-identity69.2%
times-frac83.6%
pow283.6%
Applied egg-rr83.6%
/-rgt-identity83.6%
associate-/l*83.6%
Applied egg-rr83.6%
if 6.5999999999999999e163 < t Initial program 72.7%
Simplified76.8%
Taylor expanded in k around 0 55.2%
*-commutative55.2%
Simplified55.2%
add-cube-cbrt55.2%
pow355.2%
cbrt-prod55.2%
unpow355.2%
add-cbrt-cube56.0%
unpow256.0%
cbrt-prod82.4%
pow282.4%
Applied egg-rr82.4%
Final simplification72.9%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))))
(*
t_s
(if (<= t_m 7.2e-77)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(if (<= t_m 5.7e+102)
(*
t_2
(/
(* (/ 2.0 (sin k)) (/ l (pow t_m 3.0)))
(+ 2.0 (pow (/ k t_m) 2.0))))
(/ (pow l 2.0) (pow (* t_m (pow (cbrt 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 = l / tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else if (t_m <= 5.7e+102) {
tmp = t_2 * (((2.0 / sin(k)) * (l / pow(t_m, 3.0))) / (2.0 + pow((k / t_m), 2.0)));
} else {
tmp = pow(l, 2.0) / pow((t_m * pow(cbrt(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 = l / Math.tan(k);
double tmp;
if (t_m <= 7.2e-77) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else if (t_m <= 5.7e+102) {
tmp = t_2 * (((2.0 / Math.sin(k)) * (l / Math.pow(t_m, 3.0))) / (2.0 + Math.pow((k / t_m), 2.0)));
} else {
tmp = Math.pow(l, 2.0) / Math.pow((t_m * Math.pow(Math.cbrt(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(l / tan(k)) tmp = 0.0 if (t_m <= 7.2e-77) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); elseif (t_m <= 5.7e+102) tmp = Float64(t_2 * Float64(Float64(Float64(2.0 / sin(k)) * Float64(l / (t_m ^ 3.0))) / Float64(2.0 + (Float64(k / t_m) ^ 2.0)))); else tmp = Float64((l ^ 2.0) / (Float64(t_m * (cbrt(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[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e-77], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[t$95$m, 5.7e+102], N[(t$95$2 * N[(N[(N[(2.0 / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $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{\ell}{\tan k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{-77}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{elif}\;t\_m \leq 5.7 \cdot 10^{+102}:\\
\;\;\;\;t\_2 \cdot \frac{\frac{2}{\sin k} \cdot \frac{\ell}{{t\_m}^{3}}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\ell}^{2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
\end{array}
if t < 7.2e-77Initial program 48.9%
Simplified52.6%
associate-/l/52.6%
associate-/r/52.6%
times-frac53.0%
div-inv53.0%
clear-num53.0%
Applied egg-rr53.0%
Taylor expanded in k around inf 69.0%
*-commutative69.0%
Simplified69.0%
if 7.2e-77 < t < 5.6999999999999999e102Initial program 74.6%
Simplified83.2%
associate-/l/83.2%
associate-/r/86.2%
times-frac86.4%
div-inv86.3%
clear-num86.3%
Applied egg-rr86.3%
if 5.6999999999999999e102 < t Initial program 61.5%
Simplified64.5%
Taylor expanded in k around 0 50.2%
*-commutative50.2%
Simplified50.2%
add-cube-cbrt50.2%
pow350.2%
cbrt-prod50.2%
unpow350.2%
add-cbrt-cube57.3%
unpow257.3%
cbrt-prod78.1%
pow278.1%
Applied egg-rr78.1%
Final simplification72.9%
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 4.6e+40)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) (/ l (tan k)))
(/ (pow l 2.0) (pow (* t_m (pow (cbrt 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 tmp;
if (t_m <= 4.6e+40) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * (l / tan(k));
} else {
tmp = pow(l, 2.0) / pow((t_m * pow(cbrt(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 tmp;
if (t_m <= 4.6e+40) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * (l / Math.tan(k));
} else {
tmp = Math.pow(l, 2.0) / Math.pow((t_m * Math.pow(Math.cbrt(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) tmp = 0.0 if (t_m <= 4.6e+40) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * Float64(l / tan(k))); else tmp = Float64((l ^ 2.0) / (Float64(t_m * (cbrt(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_] := N[(t$95$s * If[LessEqual[t$95$m, 4.6e+40], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[N[(t$95$m * N[Power[N[Power[k, 1/3], $MachinePrecision], 2.0], $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 4.6 \cdot 10^{+40}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot \frac{\ell}{\tan k}\\
\mathbf{else}:\\
\;\;\;\;\frac{{\ell}^{2}}{{\left(t\_m \cdot {\left(\sqrt[3]{k}\right)}^{2}\right)}^{3}}\\
\end{array}
\end{array}
if t < 4.59999999999999987e40Initial program 51.0%
Simplified54.4%
associate-/l/54.4%
associate-/r/54.4%
times-frac54.8%
div-inv54.8%
clear-num54.8%
Applied egg-rr54.8%
Taylor expanded in k around inf 68.6%
*-commutative68.6%
Simplified68.6%
if 4.59999999999999987e40 < t Initial program 65.2%
Simplified72.0%
Taylor expanded in k around 0 55.2%
*-commutative55.2%
Simplified55.2%
add-cube-cbrt55.2%
pow355.2%
cbrt-prod55.1%
unpow355.1%
add-cbrt-cube60.4%
unpow260.4%
cbrt-prod77.3%
pow277.3%
Applied egg-rr77.3%
Final simplification70.7%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))))
(*
t_s
(if (<= t_m 3.9e-48)
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)
(*
t_2
(/ (/ (* 2.0 (/ l k)) (pow t_m 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 / tan(k);
double tmp;
if (t_m <= 3.9e-48) {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
} else {
tmp = t_2 * (((2.0 * (l / k)) / pow(t_m, 3.0)) / (2.0 + pow((k / t_m), 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) :: t_2
real(8) :: tmp
t_2 = l / tan(k)
if (t_m <= 3.9d-48) then
tmp = (2.0d0 * (l / ((k ** 2.0d0) * (t_m * sin(k))))) * t_2
else
tmp = t_2 * (((2.0d0 * (l / k)) / (t_m ** 3.0d0)) / (2.0d0 + ((k / t_m) ** 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 t_2 = l / Math.tan(k);
double tmp;
if (t_m <= 3.9e-48) {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
} else {
tmp = t_2 * (((2.0 * (l / k)) / Math.pow(t_m, 3.0)) / (2.0 + Math.pow((k / t_m), 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): t_2 = l / math.tan(k) tmp = 0 if t_m <= 3.9e-48: tmp = (2.0 * (l / (math.pow(k, 2.0) * (t_m * math.sin(k))))) * t_2 else: tmp = t_2 * (((2.0 * (l / k)) / math.pow(t_m, 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 / tan(k)) tmp = 0.0 if (t_m <= 3.9e-48) tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); else tmp = Float64(t_2 * Float64(Float64(Float64(2.0 * Float64(l / k)) / (t_m ^ 3.0)) / Float64(2.0 + (Float64(k / t_m) ^ 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) t_2 = l / tan(k); tmp = 0.0; if (t_m <= 3.9e-48) tmp = (2.0 * (l / ((k ^ 2.0) * (t_m * sin(k))))) * t_2; else tmp = t_2 * (((2.0 * (l / k)) / (t_m ^ 3.0)) / (2.0 + ((k / t_m) ^ 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_] := Block[{t$95$2 = N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.9e-48], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision], N[(t$95$2 * N[(N[(N[(2.0 * N[(l / k), $MachinePrecision]), $MachinePrecision] / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[(2.0 + N[Power[N[(k / t$95$m), $MachinePrecision], 2.0], $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 := \frac{\ell}{\tan k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.9 \cdot 10^{-48}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\mathbf{else}:\\
\;\;\;\;t\_2 \cdot \frac{\frac{2 \cdot \frac{\ell}{k}}{{t\_m}^{3}}}{2 + {\left(\frac{k}{t\_m}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if t < 3.9e-48Initial program 50.3%
Simplified53.9%
associate-/l/53.9%
associate-/r/53.8%
times-frac54.3%
div-inv54.2%
clear-num54.3%
Applied egg-rr54.3%
Taylor expanded in k around inf 69.6%
*-commutative69.6%
Simplified69.6%
if 3.9e-48 < t Initial program 65.1%
Simplified71.0%
associate-/l/71.0%
associate-/r/72.3%
times-frac72.3%
div-inv72.3%
clear-num72.3%
Applied egg-rr72.3%
Taylor expanded in k around 0 68.4%
associate-/r*68.5%
associate-*r/68.5%
Simplified68.5%
Final simplification69.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ l (tan k))))
(*
t_s
(if (<= k 3.7e-37)
(* t_2 (/ (/ l k) (pow t_m 3.0)))
(* (* 2.0 (/ l (* (pow k 2.0) (* t_m (sin k))))) t_2)))))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 / tan(k);
double tmp;
if (k <= 3.7e-37) {
tmp = t_2 * ((l / k) / pow(t_m, 3.0));
} else {
tmp = (2.0 * (l / (pow(k, 2.0) * (t_m * sin(k))))) * t_2;
}
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 = l / tan(k)
if (k <= 3.7d-37) then
tmp = t_2 * ((l / k) / (t_m ** 3.0d0))
else
tmp = (2.0d0 * (l / ((k ** 2.0d0) * (t_m * sin(k))))) * t_2
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 = l / Math.tan(k);
double tmp;
if (k <= 3.7e-37) {
tmp = t_2 * ((l / k) / Math.pow(t_m, 3.0));
} else {
tmp = (2.0 * (l / (Math.pow(k, 2.0) * (t_m * Math.sin(k))))) * t_2;
}
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 = l / math.tan(k) tmp = 0 if k <= 3.7e-37: tmp = t_2 * ((l / k) / math.pow(t_m, 3.0)) else: tmp = (2.0 * (l / (math.pow(k, 2.0) * (t_m * math.sin(k))))) * t_2 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 / tan(k)) tmp = 0.0 if (k <= 3.7e-37) tmp = Float64(t_2 * Float64(Float64(l / k) / (t_m ^ 3.0))); else tmp = Float64(Float64(2.0 * Float64(l / Float64((k ^ 2.0) * Float64(t_m * sin(k))))) * t_2); 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 = l / tan(k); tmp = 0.0; if (k <= 3.7e-37) tmp = t_2 * ((l / k) / (t_m ^ 3.0)); else tmp = (2.0 * (l / ((k ^ 2.0) * (t_m * sin(k))))) * t_2; 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[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k, 3.7e-37], N[(t$95$2 * N[(N[(l / k), $MachinePrecision] / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * N[(l / N[(N[Power[k, 2.0], $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$2), $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}{\tan k}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 3.7 \cdot 10^{-37}:\\
\;\;\;\;t\_2 \cdot \frac{\frac{\ell}{k}}{{t\_m}^{3}}\\
\mathbf{else}:\\
\;\;\;\;\left(2 \cdot \frac{\ell}{{k}^{2} \cdot \left(t\_m \cdot \sin k\right)}\right) \cdot t\_2\\
\end{array}
\end{array}
\end{array}
if k < 3.7e-37Initial program 54.9%
Simplified59.8%
associate-/l/59.8%
associate-/r/60.4%
times-frac60.8%
div-inv60.8%
clear-num60.8%
Applied egg-rr60.8%
Taylor expanded in k around 0 58.7%
associate-/r*59.3%
Simplified59.3%
if 3.7e-37 < k Initial program 53.6%
Simplified56.4%
associate-/l/56.4%
associate-/r/56.4%
times-frac56.4%
div-inv56.4%
clear-num56.5%
Applied egg-rr56.5%
Taylor expanded in k around inf 73.6%
*-commutative73.6%
Simplified73.6%
Final simplification64.1%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 6.2e+63)
(* (/ l (tan k)) (/ l (* (sin k) (pow t_m 3.0))))
(* 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) {
double tmp;
if (k <= 6.2e+63) {
tmp = (l / tan(k)) * (l / (sin(k) * pow(t_m, 3.0)));
} else {
tmp = 2.0 * (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 <= 6.2d+63) then
tmp = (l / tan(k)) * (l / (sin(k) * (t_m ** 3.0d0)))
else
tmp = 2.0d0 * ((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 <= 6.2e+63) {
tmp = (l / Math.tan(k)) * (l / (Math.sin(k) * Math.pow(t_m, 3.0)));
} else {
tmp = 2.0 * (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 <= 6.2e+63: tmp = (l / math.tan(k)) * (l / (math.sin(k) * math.pow(t_m, 3.0))) else: tmp = 2.0 * (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 <= 6.2e+63) tmp = Float64(Float64(l / tan(k)) * Float64(l / Float64(sin(k) * (t_m ^ 3.0)))); else tmp = Float64(2.0 * Float64((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 <= 6.2e+63) tmp = (l / tan(k)) * (l / (sin(k) * (t_m ^ 3.0))); else tmp = 2.0 * ((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, 6.2e+63], N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[(N[Sin[k], $MachinePrecision] * N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;k \leq 6.2 \cdot 10^{+63}:\\
\;\;\;\;\frac{\ell}{\tan k} \cdot \frac{\ell}{\sin k \cdot {t\_m}^{3}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 6.2000000000000001e63Initial program 55.6%
Simplified59.9%
associate-/l/59.9%
associate-/r/60.4%
times-frac60.8%
div-inv60.8%
clear-num60.8%
Applied egg-rr60.8%
Taylor expanded in t around inf 60.9%
if 6.2000000000000001e63 < k Initial program 51.0%
Simplified54.7%
cube-mult54.7%
*-un-lft-identity54.7%
times-frac60.7%
pow260.7%
Applied egg-rr60.7%
Taylor expanded in t around 0 65.5%
times-frac62.7%
*-commutative62.7%
Simplified62.7%
Taylor expanded in k around 0 57.8%
associate-/l*57.6%
Simplified57.6%
Taylor expanded in k around 0 57.8%
Final simplification60.1%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 1.16e+64)
(* (/ l (tan k)) (/ (/ l (pow t_m 3.0)) (sin k)))
(* 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) {
double tmp;
if (k <= 1.16e+64) {
tmp = (l / tan(k)) * ((l / pow(t_m, 3.0)) / sin(k));
} else {
tmp = 2.0 * (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 <= 1.16d+64) then
tmp = (l / tan(k)) * ((l / (t_m ** 3.0d0)) / sin(k))
else
tmp = 2.0d0 * ((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 <= 1.16e+64) {
tmp = (l / Math.tan(k)) * ((l / Math.pow(t_m, 3.0)) / Math.sin(k));
} else {
tmp = 2.0 * (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 <= 1.16e+64: tmp = (l / math.tan(k)) * ((l / math.pow(t_m, 3.0)) / math.sin(k)) else: tmp = 2.0 * (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 <= 1.16e+64) tmp = Float64(Float64(l / tan(k)) * Float64(Float64(l / (t_m ^ 3.0)) / sin(k))); else tmp = Float64(2.0 * Float64((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 <= 1.16e+64) tmp = (l / tan(k)) * ((l / (t_m ^ 3.0)) / sin(k)); else tmp = 2.0 * ((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, 1.16e+64], N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(l / N[Power[t$95$m, 3.0], $MachinePrecision]), $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;k \leq 1.16 \cdot 10^{+64}:\\
\;\;\;\;\frac{\ell}{\tan k} \cdot \frac{\frac{\ell}{{t\_m}^{3}}}{\sin k}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{{\ell}^{2}}{t\_m \cdot {k}^{4}}\\
\end{array}
\end{array}
if k < 1.16e64Initial program 55.6%
Simplified59.9%
associate-/l/59.9%
associate-/r/60.4%
times-frac60.8%
div-inv60.8%
clear-num60.8%
Applied egg-rr60.8%
Taylor expanded in t around inf 60.9%
associate-/r*60.9%
Simplified60.9%
if 1.16e64 < k Initial program 51.0%
Simplified54.7%
cube-mult54.7%
*-un-lft-identity54.7%
times-frac60.7%
pow260.7%
Applied egg-rr60.7%
Taylor expanded in t around 0 65.5%
times-frac62.7%
*-commutative62.7%
Simplified62.7%
Taylor expanded in k around 0 57.8%
associate-/l*57.6%
Simplified57.6%
Taylor expanded in k around 0 57.8%
Final simplification60.2%
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 7.2)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(* (/ l (tan k)) (/ l (* k (pow t_m 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 <= 7.2) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else {
tmp = (l / tan(k)) * (l / (k * pow(t_m, 3.0)));
}
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 <= 7.2d0) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else
tmp = (l / tan(k)) * (l / (k * (t_m ** 3.0d0)))
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 <= 7.2) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else {
tmp = (l / Math.tan(k)) * (l / (k * Math.pow(t_m, 3.0)));
}
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 <= 7.2: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) else: tmp = (l / math.tan(k)) * (l / (k * math.pow(t_m, 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 <= 7.2) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); else tmp = Float64(Float64(l / tan(k)) * Float64(l / Float64(k * (t_m ^ 3.0)))); 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 <= 7.2) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); else tmp = (l / tan(k)) * (l / (k * (t_m ^ 3.0))); 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, 7.2], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(l / N[(k * N[Power[t$95$m, 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 7.2:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{\tan k} \cdot \frac{\ell}{k \cdot {t\_m}^{3}}\\
\end{array}
\end{array}
if t < 7.20000000000000018Initial program 50.5%
Simplified52.2%
cube-mult52.2%
*-un-lft-identity52.2%
times-frac57.8%
pow257.8%
Applied egg-rr57.8%
Taylor expanded in t around 0 65.7%
times-frac65.4%
*-commutative65.4%
Simplified65.4%
Taylor expanded in k around 0 56.3%
associate-/l*56.0%
Simplified56.0%
if 7.20000000000000018 < t Initial program 66.3%
Simplified72.8%
associate-/l/72.8%
associate-/r/74.4%
times-frac74.2%
div-inv74.2%
clear-num74.2%
Applied egg-rr74.2%
Taylor expanded in k around 0 69.8%
Final simplification59.5%
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 7.2)
(/ 2.0 (* (pow k 4.0) (/ t_m (pow l 2.0))))
(* (/ l (tan k)) (/ (/ l k) (pow t_m 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 <= 7.2) {
tmp = 2.0 / (pow(k, 4.0) * (t_m / pow(l, 2.0)));
} else {
tmp = (l / tan(k)) * ((l / k) / pow(t_m, 3.0));
}
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 <= 7.2d0) then
tmp = 2.0d0 / ((k ** 4.0d0) * (t_m / (l ** 2.0d0)))
else
tmp = (l / tan(k)) * ((l / k) / (t_m ** 3.0d0))
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 <= 7.2) {
tmp = 2.0 / (Math.pow(k, 4.0) * (t_m / Math.pow(l, 2.0)));
} else {
tmp = (l / Math.tan(k)) * ((l / k) / Math.pow(t_m, 3.0));
}
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 <= 7.2: tmp = 2.0 / (math.pow(k, 4.0) * (t_m / math.pow(l, 2.0))) else: tmp = (l / math.tan(k)) * ((l / k) / math.pow(t_m, 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 <= 7.2) tmp = Float64(2.0 / Float64((k ^ 4.0) * Float64(t_m / (l ^ 2.0)))); else tmp = Float64(Float64(l / tan(k)) * Float64(Float64(l / k) / (t_m ^ 3.0))); 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 <= 7.2) tmp = 2.0 / ((k ^ 4.0) * (t_m / (l ^ 2.0))); else tmp = (l / tan(k)) * ((l / k) / (t_m ^ 3.0)); 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, 7.2], N[(2.0 / N[(N[Power[k, 4.0], $MachinePrecision] * N[(t$95$m / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l / N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(l / k), $MachinePrecision] / N[Power[t$95$m, 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 7.2:\\
\;\;\;\;\frac{2}{{k}^{4} \cdot \frac{t\_m}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{\tan k} \cdot \frac{\frac{\ell}{k}}{{t\_m}^{3}}\\
\end{array}
\end{array}
if t < 7.20000000000000018Initial program 50.5%
Simplified52.2%
cube-mult52.2%
*-un-lft-identity52.2%
times-frac57.8%
pow257.8%
Applied egg-rr57.8%
Taylor expanded in t around 0 65.7%
times-frac65.4%
*-commutative65.4%
Simplified65.4%
Taylor expanded in k around 0 56.3%
associate-/l*56.0%
Simplified56.0%
if 7.20000000000000018 < t Initial program 66.3%
Simplified72.8%
associate-/l/72.8%
associate-/r/74.4%
times-frac74.2%
div-inv74.2%
clear-num74.2%
Applied egg-rr74.2%
Taylor expanded in k around 0 69.8%
associate-/r*69.9%
Simplified69.9%
Final simplification59.5%
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 54.5%
Simplified55.3%
cube-mult55.3%
*-un-lft-identity55.3%
times-frac61.7%
pow261.7%
Applied egg-rr61.7%
Taylor expanded in t around 0 62.1%
times-frac61.2%
*-commutative61.2%
Simplified61.2%
Taylor expanded in k around 0 55.0%
associate-/l*54.4%
Simplified54.4%
Taylor expanded in k around 0 55.0%
Final simplification55.0%
herbie shell --seed 2024043
(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))))