
(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}
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 1.45e-47)
(/
2.0
(pow
(* (/ t_m (pow (cbrt l) 2.0)) (* (pow (cbrt k_m) 2.0) (cbrt 2.0)))
3.0))
(if (<= k_m 2.5e+87)
(/
2.0
(*
(pow (* (/ (pow t_m 1.5) l) (hypot 1.0 (hypot 1.0 (/ k_m t_m)))) 2.0)
(* (sin k_m) (tan k_m))))
(*
(/ (cos k_m) t_m)
(pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.45e-47) {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (pow(cbrt(k_m), 2.0) * cbrt(2.0))), 3.0);
} else if (k_m <= 2.5e+87) {
tmp = 2.0 / (pow(((pow(t_m, 1.5) / l) * hypot(1.0, hypot(1.0, (k_m / t_m)))), 2.0) * (sin(k_m) * tan(k_m)));
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.45e-47) {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.pow(Math.cbrt(k_m), 2.0) * Math.cbrt(2.0))), 3.0);
} else if (k_m <= 2.5e+87) {
tmp = 2.0 / (Math.pow(((Math.pow(t_m, 1.5) / l) * Math.hypot(1.0, Math.hypot(1.0, (k_m / t_m)))), 2.0) * (Math.sin(k_m) * Math.tan(k_m)));
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 1.45e-47) tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64((cbrt(k_m) ^ 2.0) * cbrt(2.0))) ^ 3.0)); elseif (k_m <= 2.5e+87) tmp = Float64(2.0 / Float64((Float64(Float64((t_m ^ 1.5) / l) * hypot(1.0, hypot(1.0, Float64(k_m / t_m)))) ^ 2.0) * Float64(sin(k_m) * tan(k_m)))); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 1.45e-47], 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[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k$95$m, 2.5e+87], N[(2.0 / N[(N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k$95$m / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 1.45 \cdot 10^{-47}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left({\left(\sqrt[3]{k\_m}\right)}^{2} \cdot \sqrt[3]{2}\right)\right)}^{3}}\\
\mathbf{elif}\;k\_m \leq 2.5 \cdot 10^{+87}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k\_m}{t\_m}\right)\right)\right)}^{2} \cdot \left(\sin k\_m \cdot \tan k\_m\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
if k < 1.45e-47Initial program 56.5%
Simplified55.2%
Taylor expanded in k around 0 55.7%
add-cube-cbrt55.6%
pow355.6%
*-commutative55.6%
cbrt-prod55.6%
associate-/l/51.7%
cbrt-div52.1%
unpow352.1%
add-cbrt-cube59.2%
cbrt-unprod66.0%
pow266.0%
Applied egg-rr66.0%
*-commutative66.0%
Simplified66.0%
*-commutative66.0%
cbrt-prod66.1%
unpow266.1%
cbrt-prod76.7%
pow276.7%
Applied egg-rr76.7%
if 1.45e-47 < k < 2.4999999999999999e87Initial program 34.7%
Simplified34.7%
Applied egg-rr49.7%
associate-*r*49.6%
unpow-prod-down49.6%
pow249.6%
add-sqr-sqrt66.2%
Applied egg-rr66.2%
if 2.4999999999999999e87 < k Initial program 38.1%
associate-/r*38.2%
+-commutative38.2%
unpow238.2%
sqr-neg38.2%
distribute-frac-neg238.2%
distribute-frac-neg238.2%
unpow238.2%
+-commutative38.2%
associate-*l*38.2%
associate-*l/38.2%
associate-/r/38.2%
+-commutative38.2%
associate-+r+38.2%
Simplified38.2%
add-sqr-sqrt33.9%
pow233.9%
Applied egg-rr36.3%
Taylor expanded in t around 0 57.4%
associate-/l*57.3%
Simplified57.3%
*-un-lft-identity57.3%
*-commutative57.3%
unpow-prod-down53.5%
pow253.5%
add-sqr-sqrt87.7%
associate-*r/87.5%
Applied egg-rr87.5%
*-lft-identity87.5%
associate-/l*87.7%
Simplified87.7%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.02e-32)
(* (/ (cos k_m) t_m) (pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k_m))) 3.0)
(* (tan k_m) (+ 1.0 (+ 1.0 (pow (/ k_m t_m) 2.0)))))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.02e-32) {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k_m))), 3.0) * (tan(k_m) * (1.0 + (1.0 + pow((k_m / t_m), 2.0)))));
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.02e-32) {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k_m))), 3.0) * (Math.tan(k_m) * (1.0 + (1.0 + Math.pow((k_m / t_m), 2.0)))));
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.02e-32) tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k_m))) ^ 3.0) * Float64(tan(k_m) * Float64(1.0 + Float64(1.0 + (Float64(k_m / t_m) ^ 2.0)))))); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.02e-32], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(N[Tan[k$95$m], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.02 \cdot 10^{-32}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k\_m}\right)}^{3} \cdot \left(\tan k\_m \cdot \left(1 + \left(1 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)\right)\right)}\\
\end{array}
\end{array}
if t < 1.02000000000000002e-32Initial program 50.2%
associate-/r*50.2%
+-commutative50.2%
unpow250.2%
sqr-neg50.2%
distribute-frac-neg250.2%
distribute-frac-neg250.2%
unpow250.2%
+-commutative50.2%
associate-*l*46.3%
associate-*l/44.3%
associate-/r/44.1%
+-commutative44.1%
associate-+r+44.1%
Simplified44.1%
add-sqr-sqrt26.4%
pow226.4%
Applied egg-rr29.9%
Taylor expanded in t around 0 39.8%
associate-/l*39.8%
Simplified39.8%
*-un-lft-identity39.8%
*-commutative39.8%
unpow-prod-down38.7%
pow238.7%
add-sqr-sqrt76.1%
associate-*r/76.1%
Applied egg-rr76.1%
*-lft-identity76.1%
associate-/l*76.1%
Simplified76.1%
if 1.02000000000000002e-32 < t Initial program 55.0%
Simplified55.0%
associate-/r*61.6%
add-cube-cbrt61.4%
*-un-lft-identity61.4%
times-frac61.4%
pow261.4%
cbrt-div61.5%
rem-cbrt-cube61.5%
cbrt-div61.4%
rem-cbrt-cube80.8%
Applied egg-rr80.8%
add-cube-cbrt80.7%
pow380.7%
Applied egg-rr90.5%
*-commutative90.5%
Simplified90.5%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 8e-25)
(/
2.0
(pow
(* (/ t_m (pow (cbrt l) 2.0)) (* (pow (cbrt k_m) 2.0) (cbrt 2.0)))
3.0))
(if (<= k_m 2.7e+87)
(/
(/ 2.0 (pow (/ (pow t_m 1.5) l) 2.0))
(* (* (sin k_m) (tan k_m)) (+ 2.0 (pow (/ k_m t_m) 2.0))))
(*
(/ (cos k_m) t_m)
(pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 8e-25) {
tmp = 2.0 / pow(((t_m / pow(cbrt(l), 2.0)) * (pow(cbrt(k_m), 2.0) * cbrt(2.0))), 3.0);
} else if (k_m <= 2.7e+87) {
tmp = (2.0 / pow((pow(t_m, 1.5) / l), 2.0)) / ((sin(k_m) * tan(k_m)) * (2.0 + pow((k_m / t_m), 2.0)));
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 8e-25) {
tmp = 2.0 / Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * (Math.pow(Math.cbrt(k_m), 2.0) * Math.cbrt(2.0))), 3.0);
} else if (k_m <= 2.7e+87) {
tmp = (2.0 / Math.pow((Math.pow(t_m, 1.5) / l), 2.0)) / ((Math.sin(k_m) * Math.tan(k_m)) * (2.0 + Math.pow((k_m / t_m), 2.0)));
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 8e-25) tmp = Float64(2.0 / (Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * Float64((cbrt(k_m) ^ 2.0) * cbrt(2.0))) ^ 3.0)); elseif (k_m <= 2.7e+87) tmp = Float64(Float64(2.0 / (Float64((t_m ^ 1.5) / l) ^ 2.0)) / Float64(Float64(sin(k_m) * tan(k_m)) * Float64(2.0 + (Float64(k_m / t_m) ^ 2.0)))); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 8e-25], 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[Power[k$95$m, 1/3], $MachinePrecision], 2.0], $MachinePrecision] * N[Power[2.0, 1/3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k$95$m, 2.7e+87], N[(N[(2.0 / N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Sin[k$95$m], $MachinePrecision] * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 8 \cdot 10^{-25}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \left({\left(\sqrt[3]{k\_m}\right)}^{2} \cdot \sqrt[3]{2}\right)\right)}^{3}}\\
\mathbf{elif}\;k\_m \leq 2.7 \cdot 10^{+87}:\\
\;\;\;\;\frac{\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}}}{\left(\sin k\_m \cdot \tan k\_m\right) \cdot \left(2 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
if k < 8.00000000000000031e-25Initial program 55.7%
Simplified54.9%
Taylor expanded in k around 0 55.4%
add-cube-cbrt55.3%
pow355.3%
*-commutative55.3%
cbrt-prod55.3%
associate-/l/51.5%
cbrt-div51.9%
unpow351.9%
add-cbrt-cube59.3%
cbrt-unprod66.1%
pow266.1%
Applied egg-rr66.1%
*-commutative66.1%
Simplified66.1%
*-commutative66.1%
cbrt-prod66.1%
unpow266.1%
cbrt-prod76.6%
pow276.6%
Applied egg-rr76.6%
if 8.00000000000000031e-25 < k < 2.70000000000000007e87Initial program 40.3%
Simplified40.4%
Applied egg-rr46.3%
*-un-lft-identity46.3%
unpow-prod-down39.7%
unpow-prod-down39.7%
Applied egg-rr59.8%
*-lft-identity59.8%
associate-/r*59.8%
Simplified59.8%
if 2.70000000000000007e87 < k Initial program 38.1%
associate-/r*38.2%
+-commutative38.2%
unpow238.2%
sqr-neg38.2%
distribute-frac-neg238.2%
distribute-frac-neg238.2%
unpow238.2%
+-commutative38.2%
associate-*l*38.2%
associate-*l/38.2%
associate-/r/38.2%
+-commutative38.2%
associate-+r+38.2%
Simplified38.2%
add-sqr-sqrt33.9%
pow233.9%
Applied egg-rr36.3%
Taylor expanded in t around 0 57.4%
associate-/l*57.3%
Simplified57.3%
*-un-lft-identity57.3%
*-commutative57.3%
unpow-prod-down53.5%
pow253.5%
add-sqr-sqrt87.7%
associate-*r/87.5%
Applied egg-rr87.5%
*-lft-identity87.5%
associate-/l*87.7%
Simplified87.7%
Final simplification77.6%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.35e-31)
(* (/ (cos k_m) t_m) (pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))
(if (<= t_m 1.5e+205)
(/
2.0
(*
(* (tan k_m) (+ 1.0 (+ 1.0 (pow (/ k_m t_m) 2.0))))
(* (sin k_m) (pow (/ (pow t_m 1.5) l) 2.0))))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k_m))) 3.0)
(* k_m 2.0)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.35e-31) {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
} else if (t_m <= 1.5e+205) {
tmp = 2.0 / ((tan(k_m) * (1.0 + (1.0 + pow((k_m / t_m), 2.0)))) * (sin(k_m) * pow((pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k_m))), 3.0) * (k_m * 2.0));
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.35e-31) {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
} else if (t_m <= 1.5e+205) {
tmp = 2.0 / ((Math.tan(k_m) * (1.0 + (1.0 + Math.pow((k_m / t_m), 2.0)))) * (Math.sin(k_m) * Math.pow((Math.pow(t_m, 1.5) / l), 2.0)));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k_m))), 3.0) * (k_m * 2.0));
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.35e-31) tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); elseif (t_m <= 1.5e+205) tmp = Float64(2.0 / Float64(Float64(tan(k_m) * Float64(1.0 + Float64(1.0 + (Float64(k_m / t_m) ^ 2.0)))) * Float64(sin(k_m) * (Float64((t_m ^ 1.5) / l) ^ 2.0)))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k_m))) ^ 3.0) * Float64(k_m * 2.0))); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.35e-31], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.5e+205], N[(2.0 / N[(N[(N[Tan[k$95$m], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[Power[N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(k$95$m * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.35 \cdot 10^{-31}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 1.5 \cdot 10^{+205}:\\
\;\;\;\;\frac{2}{\left(\tan k\_m \cdot \left(1 + \left(1 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)\right)\right) \cdot \left(\sin k\_m \cdot {\left(\frac{{t\_m}^{1.5}}{\ell}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k\_m}\right)}^{3} \cdot \left(k\_m \cdot 2\right)}\\
\end{array}
\end{array}
if t < 1.35000000000000007e-31Initial program 50.0%
associate-/r*50.0%
+-commutative50.0%
unpow250.0%
sqr-neg50.0%
distribute-frac-neg250.0%
distribute-frac-neg250.0%
unpow250.0%
+-commutative50.0%
associate-*l*46.1%
associate-*l/44.0%
associate-/r/43.8%
+-commutative43.8%
associate-+r+43.8%
Simplified43.8%
add-sqr-sqrt26.2%
pow226.2%
Applied egg-rr29.7%
Taylor expanded in t around 0 39.6%
associate-/l*39.6%
Simplified39.6%
*-un-lft-identity39.6%
*-commutative39.6%
unpow-prod-down38.5%
pow238.5%
add-sqr-sqrt75.7%
associate-*r/75.7%
Applied egg-rr75.7%
*-lft-identity75.7%
associate-/l*75.7%
Simplified75.7%
if 1.35000000000000007e-31 < t < 1.5e205Initial program 64.5%
Simplified64.6%
add-sqr-sqrt64.6%
pow264.6%
sqrt-div64.6%
sqrt-pow175.6%
metadata-eval75.6%
sqrt-prod45.7%
add-sqr-sqrt90.5%
Applied egg-rr90.5%
if 1.5e205 < t Initial program 41.0%
Simplified41.0%
associate-/r*50.8%
add-cube-cbrt50.8%
*-un-lft-identity50.8%
times-frac50.8%
pow250.8%
cbrt-div50.8%
rem-cbrt-cube50.8%
cbrt-div50.8%
rem-cbrt-cube68.5%
Applied egg-rr68.5%
add-cube-cbrt68.4%
pow368.4%
Applied egg-rr88.3%
*-commutative88.3%
Simplified88.3%
Taylor expanded in k around 0 75.1%
Final simplification78.2%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ (pow t_m 1.5) l)))
(*
t_s
(if (<= k_m 3e-5)
(/ 2.0 (pow (* t_2 (* k_m (hypot 1.0 (hypot 1.0 (/ k_m t_m))))) 2.0))
(if (<= k_m 8.2e+86)
(/
(/ 2.0 (pow t_2 2.0))
(* (* (sin k_m) (tan k_m)) (+ 2.0 (pow (/ k_m t_m) 2.0))))
(*
(/ (cos k_m) t_m)
(pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double t_2 = pow(t_m, 1.5) / l;
double tmp;
if (k_m <= 3e-5) {
tmp = 2.0 / pow((t_2 * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))), 2.0);
} else if (k_m <= 8.2e+86) {
tmp = (2.0 / pow(t_2, 2.0)) / ((sin(k_m) * tan(k_m)) * (2.0 + pow((k_m / t_m), 2.0)));
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double t_2 = Math.pow(t_m, 1.5) / l;
double tmp;
if (k_m <= 3e-5) {
tmp = 2.0 / Math.pow((t_2 * (k_m * Math.hypot(1.0, Math.hypot(1.0, (k_m / t_m))))), 2.0);
} else if (k_m <= 8.2e+86) {
tmp = (2.0 / Math.pow(t_2, 2.0)) / ((Math.sin(k_m) * Math.tan(k_m)) * (2.0 + Math.pow((k_m / t_m), 2.0)));
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): t_2 = math.pow(t_m, 1.5) / l tmp = 0 if k_m <= 3e-5: tmp = 2.0 / math.pow((t_2 * (k_m * math.hypot(1.0, math.hypot(1.0, (k_m / t_m))))), 2.0) elif k_m <= 8.2e+86: tmp = (2.0 / math.pow(t_2, 2.0)) / ((math.sin(k_m) * math.tan(k_m)) * (2.0 + math.pow((k_m / t_m), 2.0))) else: tmp = (math.cos(k_m) / t_m) * math.pow((l * (math.sqrt(2.0) / (k_m * math.sin(k_m)))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) t_2 = Float64((t_m ^ 1.5) / l) tmp = 0.0 if (k_m <= 3e-5) tmp = Float64(2.0 / (Float64(t_2 * Float64(k_m * hypot(1.0, hypot(1.0, Float64(k_m / t_m))))) ^ 2.0)); elseif (k_m <= 8.2e+86) tmp = Float64(Float64(2.0 / (t_2 ^ 2.0)) / Float64(Float64(sin(k_m) * tan(k_m)) * Float64(2.0 + (Float64(k_m / t_m) ^ 2.0)))); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) t_2 = (t_m ^ 1.5) / l; tmp = 0.0; if (k_m <= 3e-5) tmp = 2.0 / ((t_2 * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))) ^ 2.0); elseif (k_m <= 8.2e+86) tmp = (2.0 / (t_2 ^ 2.0)) / ((sin(k_m) * tan(k_m)) * (2.0 + ((k_m / t_m) ^ 2.0))); else tmp = (cos(k_m) / t_m) * ((l * (sqrt(2.0) / (k_m * sin(k_m)))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := Block[{t$95$2 = N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 3e-5], N[(2.0 / N[Power[N[(t$95$2 * N[(k$95$m * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k$95$m / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k$95$m, 8.2e+86], N[(N[(2.0 / N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Sin[k$95$m], $MachinePrecision] * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{{t\_m}^{1.5}}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 3 \cdot 10^{-5}:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \left(k\_m \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k\_m}{t\_m}\right)\right)\right)\right)}^{2}}\\
\mathbf{elif}\;k\_m \leq 8.2 \cdot 10^{+86}:\\
\;\;\;\;\frac{\frac{2}{{t\_2}^{2}}}{\left(\sin k\_m \cdot \tan k\_m\right) \cdot \left(2 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
\end{array}
if k < 3.00000000000000008e-5Initial program 55.6%
Simplified55.6%
Applied egg-rr30.0%
Taylor expanded in k around 0 35.8%
if 3.00000000000000008e-5 < k < 8.1999999999999998e86Initial program 36.2%
Simplified36.4%
Applied egg-rr27.1%
*-un-lft-identity27.1%
unpow-prod-down18.2%
unpow-prod-down18.2%
Applied egg-rr45.3%
*-lft-identity45.3%
associate-/r*45.3%
Simplified45.3%
if 8.1999999999999998e86 < k Initial program 38.1%
associate-/r*38.2%
+-commutative38.2%
unpow238.2%
sqr-neg38.2%
distribute-frac-neg238.2%
distribute-frac-neg238.2%
unpow238.2%
+-commutative38.2%
associate-*l*38.2%
associate-*l/38.2%
associate-/r/38.2%
+-commutative38.2%
associate-+r+38.2%
Simplified38.2%
add-sqr-sqrt33.9%
pow233.9%
Applied egg-rr36.3%
Taylor expanded in t around 0 57.4%
associate-/l*57.3%
Simplified57.3%
*-un-lft-identity57.3%
*-commutative57.3%
unpow-prod-down53.5%
pow253.5%
add-sqr-sqrt87.7%
associate-*r/87.5%
Applied egg-rr87.5%
*-lft-identity87.5%
associate-/l*87.7%
Simplified87.7%
Final simplification45.7%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ (pow t_m 1.5) l)))
(*
t_s
(if (<= k_m 8200000.0)
(/ 2.0 (pow (* t_2 (* k_m (hypot 1.0 (hypot 1.0 (/ k_m t_m))))) 2.0))
(if (<= k_m 3.1e+86)
(/
2.0
(*
(pow t_2 2.0)
(* (* (sin k_m) (tan k_m)) (+ 2.0 (pow (/ k_m t_m) 2.0)))))
(*
(/ (cos k_m) t_m)
(pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double t_2 = pow(t_m, 1.5) / l;
double tmp;
if (k_m <= 8200000.0) {
tmp = 2.0 / pow((t_2 * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))), 2.0);
} else if (k_m <= 3.1e+86) {
tmp = 2.0 / (pow(t_2, 2.0) * ((sin(k_m) * tan(k_m)) * (2.0 + pow((k_m / t_m), 2.0))));
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double t_2 = Math.pow(t_m, 1.5) / l;
double tmp;
if (k_m <= 8200000.0) {
tmp = 2.0 / Math.pow((t_2 * (k_m * Math.hypot(1.0, Math.hypot(1.0, (k_m / t_m))))), 2.0);
} else if (k_m <= 3.1e+86) {
tmp = 2.0 / (Math.pow(t_2, 2.0) * ((Math.sin(k_m) * Math.tan(k_m)) * (2.0 + Math.pow((k_m / t_m), 2.0))));
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): t_2 = math.pow(t_m, 1.5) / l tmp = 0 if k_m <= 8200000.0: tmp = 2.0 / math.pow((t_2 * (k_m * math.hypot(1.0, math.hypot(1.0, (k_m / t_m))))), 2.0) elif k_m <= 3.1e+86: tmp = 2.0 / (math.pow(t_2, 2.0) * ((math.sin(k_m) * math.tan(k_m)) * (2.0 + math.pow((k_m / t_m), 2.0)))) else: tmp = (math.cos(k_m) / t_m) * math.pow((l * (math.sqrt(2.0) / (k_m * math.sin(k_m)))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) t_2 = Float64((t_m ^ 1.5) / l) tmp = 0.0 if (k_m <= 8200000.0) tmp = Float64(2.0 / (Float64(t_2 * Float64(k_m * hypot(1.0, hypot(1.0, Float64(k_m / t_m))))) ^ 2.0)); elseif (k_m <= 3.1e+86) tmp = Float64(2.0 / Float64((t_2 ^ 2.0) * Float64(Float64(sin(k_m) * tan(k_m)) * Float64(2.0 + (Float64(k_m / t_m) ^ 2.0))))); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) t_2 = (t_m ^ 1.5) / l; tmp = 0.0; if (k_m <= 8200000.0) tmp = 2.0 / ((t_2 * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))) ^ 2.0); elseif (k_m <= 3.1e+86) tmp = 2.0 / ((t_2 ^ 2.0) * ((sin(k_m) * tan(k_m)) * (2.0 + ((k_m / t_m) ^ 2.0)))); else tmp = (cos(k_m) / t_m) * ((l * (sqrt(2.0) / (k_m * sin(k_m)))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := Block[{t$95$2 = N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 8200000.0], N[(2.0 / N[Power[N[(t$95$2 * N[(k$95$m * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k$95$m / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k$95$m, 3.1e+86], N[(2.0 / N[(N[Power[t$95$2, 2.0], $MachinePrecision] * N[(N[(N[Sin[k$95$m], $MachinePrecision] * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(2.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{{t\_m}^{1.5}}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 8200000:\\
\;\;\;\;\frac{2}{{\left(t\_2 \cdot \left(k\_m \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k\_m}{t\_m}\right)\right)\right)\right)}^{2}}\\
\mathbf{elif}\;k\_m \leq 3.1 \cdot 10^{+86}:\\
\;\;\;\;\frac{2}{{t\_2}^{2} \cdot \left(\left(\sin k\_m \cdot \tan k\_m\right) \cdot \left(2 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
\end{array}
if k < 8.2e6Initial program 55.8%
Simplified55.8%
Applied egg-rr30.3%
Taylor expanded in k around 0 36.1%
if 8.2e6 < k < 3.1000000000000002e86Initial program 29.8%
Simplified30.0%
Applied egg-rr19.8%
unpow-prod-down10.0%
unpow-prod-down10.0%
Applied egg-rr39.8%
if 3.1000000000000002e86 < k Initial program 38.1%
associate-/r*38.2%
+-commutative38.2%
unpow238.2%
sqr-neg38.2%
distribute-frac-neg238.2%
distribute-frac-neg238.2%
unpow238.2%
+-commutative38.2%
associate-*l*38.2%
associate-*l/38.2%
associate-/r/38.2%
+-commutative38.2%
associate-+r+38.2%
Simplified38.2%
add-sqr-sqrt33.9%
pow233.9%
Applied egg-rr36.3%
Taylor expanded in t around 0 57.4%
associate-/l*57.3%
Simplified57.3%
*-un-lft-identity57.3%
*-commutative57.3%
unpow-prod-down53.5%
pow253.5%
add-sqr-sqrt87.7%
associate-*r/87.5%
Applied egg-rr87.5%
*-lft-identity87.5%
associate-/l*87.7%
Simplified87.7%
Final simplification45.7%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 4.8e-32)
(* (/ (cos k_m) t_m) (pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))
(if (<= t_m 5.3e+150)
(/
2.0
(*
(* (tan k_m) (+ 1.0 (+ 1.0 (pow (/ k_m t_m) 2.0))))
(* (sin k_m) (* (/ (pow t_m 2.0) l) (/ t_m l)))))
(/
2.0
(*
(pow (* (/ t_m (pow (cbrt l) 2.0)) (cbrt (sin k_m))) 3.0)
(* k_m 2.0)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 4.8e-32) {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
} else if (t_m <= 5.3e+150) {
tmp = 2.0 / ((tan(k_m) * (1.0 + (1.0 + pow((k_m / t_m), 2.0)))) * (sin(k_m) * ((pow(t_m, 2.0) / l) * (t_m / l))));
} else {
tmp = 2.0 / (pow(((t_m / pow(cbrt(l), 2.0)) * cbrt(sin(k_m))), 3.0) * (k_m * 2.0));
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 4.8e-32) {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
} else if (t_m <= 5.3e+150) {
tmp = 2.0 / ((Math.tan(k_m) * (1.0 + (1.0 + Math.pow((k_m / t_m), 2.0)))) * (Math.sin(k_m) * ((Math.pow(t_m, 2.0) / l) * (t_m / l))));
} else {
tmp = 2.0 / (Math.pow(((t_m / Math.pow(Math.cbrt(l), 2.0)) * Math.cbrt(Math.sin(k_m))), 3.0) * (k_m * 2.0));
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 4.8e-32) tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); elseif (t_m <= 5.3e+150) tmp = Float64(2.0 / Float64(Float64(tan(k_m) * Float64(1.0 + Float64(1.0 + (Float64(k_m / t_m) ^ 2.0)))) * Float64(sin(k_m) * Float64(Float64((t_m ^ 2.0) / l) * Float64(t_m / l))))); else tmp = Float64(2.0 / Float64((Float64(Float64(t_m / (cbrt(l) ^ 2.0)) * cbrt(sin(k_m))) ^ 3.0) * Float64(k_m * 2.0))); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 4.8e-32], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.3e+150], N[(2.0 / N[(N[(N[Tan[k$95$m], $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k$95$m / t$95$m), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] / l), $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[Power[N[(N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[Sin[k$95$m], $MachinePrecision], 1/3], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(k$95$m * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.8 \cdot 10^{-32}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 5.3 \cdot 10^{+150}:\\
\;\;\;\;\frac{2}{\left(\tan k\_m \cdot \left(1 + \left(1 + {\left(\frac{k\_m}{t\_m}\right)}^{2}\right)\right)\right) \cdot \left(\sin k\_m \cdot \left(\frac{{t\_m}^{2}}{\ell} \cdot \frac{t\_m}{\ell}\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}} \cdot \sqrt[3]{\sin k\_m}\right)}^{3} \cdot \left(k\_m \cdot 2\right)}\\
\end{array}
\end{array}
if t < 4.8000000000000003e-32Initial program 50.0%
associate-/r*50.0%
+-commutative50.0%
unpow250.0%
sqr-neg50.0%
distribute-frac-neg250.0%
distribute-frac-neg250.0%
unpow250.0%
+-commutative50.0%
associate-*l*46.1%
associate-*l/44.0%
associate-/r/43.8%
+-commutative43.8%
associate-+r+43.8%
Simplified43.8%
add-sqr-sqrt26.2%
pow226.2%
Applied egg-rr29.7%
Taylor expanded in t around 0 39.6%
associate-/l*39.6%
Simplified39.6%
*-un-lft-identity39.6%
*-commutative39.6%
unpow-prod-down38.5%
pow238.5%
add-sqr-sqrt75.7%
associate-*r/75.7%
Applied egg-rr75.7%
*-lft-identity75.7%
associate-/l*75.7%
Simplified75.7%
if 4.8000000000000003e-32 < t < 5.30000000000000013e150Initial program 65.6%
Simplified65.7%
unpow365.7%
times-frac87.9%
pow287.9%
Applied egg-rr87.9%
if 5.30000000000000013e150 < t Initial program 46.4%
Simplified46.4%
associate-/r*53.8%
add-cube-cbrt53.8%
*-un-lft-identity53.8%
times-frac53.8%
pow253.8%
cbrt-div53.8%
rem-cbrt-cube53.8%
cbrt-div53.8%
rem-cbrt-cube76.8%
Applied egg-rr76.8%
add-cube-cbrt76.7%
pow376.7%
Applied egg-rr91.3%
*-commutative91.3%
Simplified91.3%
Taylor expanded in k around 0 77.0%
Final simplification77.5%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 1.95e-143)
(/ 2.0 (pow (* (/ (* k_m (sqrt 2.0)) l) (sqrt (pow t_m 3.0))) 2.0))
(if (<= k_m 1.3e-16)
(/ 2.0 (* (pow (/ t_m (pow (cbrt l) 2.0)) 3.0) (* 2.0 (pow k_m 2.0))))
(*
(/ (cos k_m) t_m)
(pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.95e-143) {
tmp = 2.0 / pow((((k_m * sqrt(2.0)) / l) * sqrt(pow(t_m, 3.0))), 2.0);
} else if (k_m <= 1.3e-16) {
tmp = 2.0 / (pow((t_m / pow(cbrt(l), 2.0)), 3.0) * (2.0 * pow(k_m, 2.0)));
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.95e-143) {
tmp = 2.0 / Math.pow((((k_m * Math.sqrt(2.0)) / l) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
} else if (k_m <= 1.3e-16) {
tmp = 2.0 / (Math.pow((t_m / Math.pow(Math.cbrt(l), 2.0)), 3.0) * (2.0 * Math.pow(k_m, 2.0)));
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 1.95e-143) tmp = Float64(2.0 / (Float64(Float64(Float64(k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0)); elseif (k_m <= 1.3e-16) tmp = Float64(2.0 / Float64((Float64(t_m / (cbrt(l) ^ 2.0)) ^ 3.0) * Float64(2.0 * (k_m ^ 2.0)))); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 1.95e-143], N[(2.0 / N[Power[N[(N[(N[(k$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[k$95$m, 1.3e-16], N[(2.0 / N[(N[Power[N[(t$95$m / N[Power[N[Power[l, 1/3], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 1.95 \cdot 10^{-143}:\\
\;\;\;\;\frac{2}{{\left(\frac{k\_m \cdot \sqrt{2}}{\ell} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\mathbf{elif}\;k\_m \leq 1.3 \cdot 10^{-16}:\\
\;\;\;\;\frac{2}{{\left(\frac{t\_m}{{\left(\sqrt[3]{\ell}\right)}^{2}}\right)}^{3} \cdot \left(2 \cdot {k\_m}^{2}\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
if k < 1.95000000000000002e-143Initial program 56.3%
Simplified56.3%
Applied egg-rr26.4%
Taylor expanded in k around 0 28.2%
if 1.95000000000000002e-143 < k < 1.2999999999999999e-16Initial program 48.6%
Simplified53.6%
Taylor expanded in k around 0 67.2%
add-cube-cbrt67.2%
pow367.2%
*-commutative67.2%
cbrt-prod67.2%
associate-/l/66.0%
cbrt-div66.0%
unpow366.0%
add-cbrt-cube70.1%
cbrt-unprod86.3%
pow286.3%
Applied egg-rr86.3%
*-commutative86.3%
cube-prod78.8%
rem-cube-cbrt78.9%
Simplified78.9%
if 1.2999999999999999e-16 < k Initial program 39.3%
associate-/r*39.3%
+-commutative39.3%
unpow239.3%
sqr-neg39.3%
distribute-frac-neg239.3%
distribute-frac-neg239.3%
unpow239.3%
+-commutative39.3%
associate-*l*39.3%
associate-*l/37.6%
associate-/r/37.6%
+-commutative37.6%
associate-+r+37.6%
Simplified37.6%
add-sqr-sqrt31.2%
pow231.2%
Applied egg-rr34.9%
Taylor expanded in t around 0 54.3%
associate-/l*54.2%
Simplified54.2%
*-un-lft-identity54.2%
*-commutative54.2%
unpow-prod-down51.2%
pow251.2%
add-sqr-sqrt81.4%
associate-*r/81.4%
Applied egg-rr81.4%
*-lft-identity81.4%
associate-/l*81.4%
Simplified81.4%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 3.7e-10)
(/
2.0
(pow
(* (/ (pow t_m 1.5) l) (* k_m (hypot 1.0 (hypot 1.0 (/ k_m t_m)))))
2.0))
(* (/ (cos k_m) t_m) (pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 3.7e-10) {
tmp = 2.0 / pow(((pow(t_m, 1.5) / l) * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))), 2.0);
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 3.7e-10) {
tmp = 2.0 / Math.pow(((Math.pow(t_m, 1.5) / l) * (k_m * Math.hypot(1.0, Math.hypot(1.0, (k_m / t_m))))), 2.0);
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if k_m <= 3.7e-10: tmp = 2.0 / math.pow(((math.pow(t_m, 1.5) / l) * (k_m * math.hypot(1.0, math.hypot(1.0, (k_m / t_m))))), 2.0) else: tmp = (math.cos(k_m) / t_m) * math.pow((l * (math.sqrt(2.0) / (k_m * math.sin(k_m)))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 3.7e-10) tmp = Float64(2.0 / (Float64(Float64((t_m ^ 1.5) / l) * Float64(k_m * hypot(1.0, hypot(1.0, Float64(k_m / t_m))))) ^ 2.0)); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (k_m <= 3.7e-10) tmp = 2.0 / ((((t_m ^ 1.5) / l) * (k_m * hypot(1.0, hypot(1.0, (k_m / t_m))))) ^ 2.0); else tmp = (cos(k_m) / t_m) * ((l * (sqrt(2.0) / (k_m * sin(k_m)))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 3.7e-10], N[(2.0 / N[Power[N[(N[(N[Power[t$95$m, 1.5], $MachinePrecision] / l), $MachinePrecision] * N[(k$95$m * N[Sqrt[1.0 ^ 2 + N[Sqrt[1.0 ^ 2 + N[(k$95$m / t$95$m), $MachinePrecision] ^ 2], $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 3.7 \cdot 10^{-10}:\\
\;\;\;\;\frac{2}{{\left(\frac{{t\_m}^{1.5}}{\ell} \cdot \left(k\_m \cdot \mathsf{hypot}\left(1, \mathsf{hypot}\left(1, \frac{k\_m}{t\_m}\right)\right)\right)\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
if k < 3.70000000000000015e-10Initial program 55.6%
Simplified55.6%
Applied egg-rr30.0%
Taylor expanded in k around 0 35.8%
if 3.70000000000000015e-10 < k Initial program 37.8%
associate-/r*37.8%
+-commutative37.8%
unpow237.8%
sqr-neg37.8%
distribute-frac-neg237.8%
distribute-frac-neg237.8%
unpow237.8%
+-commutative37.8%
associate-*l*37.8%
associate-*l/37.8%
associate-/r/37.8%
+-commutative37.8%
associate-+r+37.8%
Simplified37.8%
add-sqr-sqrt30.9%
pow230.9%
Applied egg-rr34.8%
Taylor expanded in t around 0 53.6%
associate-/l*53.5%
Simplified53.5%
*-un-lft-identity53.5%
*-commutative53.5%
unpow-prod-down50.4%
pow250.4%
add-sqr-sqrt82.1%
associate-*r/82.1%
Applied egg-rr82.1%
*-lft-identity82.1%
associate-/l*82.1%
Simplified82.1%
Final simplification46.3%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 6.2e-45)
(/ 2.0 (pow (* (/ (* k_m (sqrt 2.0)) l) (sqrt (pow t_m 3.0))) 2.0))
(* (/ (cos k_m) t_m) (pow (* l (/ (sqrt 2.0) (* k_m (sin k_m)))) 2.0)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 6.2e-45) {
tmp = 2.0 / pow((((k_m * sqrt(2.0)) / l) * sqrt(pow(t_m, 3.0))), 2.0);
} else {
tmp = (cos(k_m) / t_m) * pow((l * (sqrt(2.0) / (k_m * sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 6.2d-45) then
tmp = 2.0d0 / ((((k_m * sqrt(2.0d0)) / l) * sqrt((t_m ** 3.0d0))) ** 2.0d0)
else
tmp = (cos(k_m) / t_m) * ((l * (sqrt(2.0d0) / (k_m * sin(k_m)))) ** 2.0d0)
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 6.2e-45) {
tmp = 2.0 / Math.pow((((k_m * Math.sqrt(2.0)) / l) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
} else {
tmp = (Math.cos(k_m) / t_m) * Math.pow((l * (Math.sqrt(2.0) / (k_m * Math.sin(k_m)))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if k_m <= 6.2e-45: tmp = 2.0 / math.pow((((k_m * math.sqrt(2.0)) / l) * math.sqrt(math.pow(t_m, 3.0))), 2.0) else: tmp = (math.cos(k_m) / t_m) * math.pow((l * (math.sqrt(2.0) / (k_m * math.sin(k_m)))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 6.2e-45) tmp = Float64(2.0 / (Float64(Float64(Float64(k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0)); else tmp = Float64(Float64(cos(k_m) / t_m) * (Float64(l * Float64(sqrt(2.0) / Float64(k_m * sin(k_m)))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (k_m <= 6.2e-45) tmp = 2.0 / ((((k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0); else tmp = (cos(k_m) / t_m) * ((l * (sqrt(2.0) / (k_m * sin(k_m)))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 6.2e-45], N[(2.0 / N[Power[N[(N[(N[(k$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(N[(N[Cos[k$95$m], $MachinePrecision] / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 6.2 \cdot 10^{-45}:\\
\;\;\;\;\frac{2}{{\left(\frac{k\_m \cdot \sqrt{2}}{\ell} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\cos k\_m}{t\_m} \cdot {\left(\ell \cdot \frac{\sqrt{2}}{k\_m \cdot \sin k\_m}\right)}^{2}\\
\end{array}
\end{array}
if k < 6.2000000000000002e-45Initial program 56.5%
Simplified56.5%
Applied egg-rr28.0%
Taylor expanded in k around 0 29.6%
if 6.2000000000000002e-45 < k Initial program 37.2%
associate-/r*37.2%
+-commutative37.2%
unpow237.2%
sqr-neg37.2%
distribute-frac-neg237.2%
distribute-frac-neg237.2%
unpow237.2%
+-commutative37.2%
associate-*l*37.2%
associate-*l/35.5%
associate-/r/35.5%
+-commutative35.5%
associate-+r+35.5%
Simplified35.5%
add-sqr-sqrt29.5%
pow229.5%
Applied egg-rr34.6%
Taylor expanded in t around 0 54.0%
associate-/l*53.9%
Simplified53.9%
*-un-lft-identity53.9%
*-commutative53.9%
unpow-prod-down51.2%
pow251.2%
add-sqr-sqrt79.5%
associate-*r/79.5%
Applied egg-rr79.5%
*-lft-identity79.5%
associate-/l*79.5%
Simplified79.5%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.05e-62)
(pow (* (* l (/ (sqrt 2.0) (pow k_m 2.0))) (sqrt (/ 1.0 t_m))) 2.0)
(/ 2.0 (pow (* (/ (* k_m (sqrt 2.0)) l) (sqrt (pow t_m 3.0))) 2.0)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.05e-62) {
tmp = pow(((l * (sqrt(2.0) / pow(k_m, 2.0))) * sqrt((1.0 / t_m))), 2.0);
} else {
tmp = 2.0 / pow((((k_m * sqrt(2.0)) / l) * sqrt(pow(t_m, 3.0))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 1.05d-62) then
tmp = ((l * (sqrt(2.0d0) / (k_m ** 2.0d0))) * sqrt((1.0d0 / t_m))) ** 2.0d0
else
tmp = 2.0d0 / ((((k_m * sqrt(2.0d0)) / l) * sqrt((t_m ** 3.0d0))) ** 2.0d0)
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.05e-62) {
tmp = Math.pow(((l * (Math.sqrt(2.0) / Math.pow(k_m, 2.0))) * Math.sqrt((1.0 / t_m))), 2.0);
} else {
tmp = 2.0 / Math.pow((((k_m * Math.sqrt(2.0)) / l) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 1.05e-62: tmp = math.pow(((l * (math.sqrt(2.0) / math.pow(k_m, 2.0))) * math.sqrt((1.0 / t_m))), 2.0) else: tmp = 2.0 / math.pow((((k_m * math.sqrt(2.0)) / l) * math.sqrt(math.pow(t_m, 3.0))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.05e-62) tmp = Float64(Float64(l * Float64(sqrt(2.0) / (k_m ^ 2.0))) * sqrt(Float64(1.0 / t_m))) ^ 2.0; else tmp = Float64(2.0 / (Float64(Float64(Float64(k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 1.05e-62) tmp = ((l * (sqrt(2.0) / (k_m ^ 2.0))) * sqrt((1.0 / t_m))) ^ 2.0; else tmp = 2.0 / ((((k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.05e-62], N[Power[N[(N[(l * N[(N[Sqrt[2.0], $MachinePrecision] / N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[(k$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.05 \cdot 10^{-62}:\\
\;\;\;\;{\left(\left(\ell \cdot \frac{\sqrt{2}}{{k\_m}^{2}}\right) \cdot \sqrt{\frac{1}{t\_m}}\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{k\_m \cdot \sqrt{2}}{\ell} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\end{array}
\end{array}
if t < 1.05e-62Initial program 49.6%
associate-/r*49.6%
+-commutative49.6%
unpow249.6%
sqr-neg49.6%
distribute-frac-neg249.6%
distribute-frac-neg249.6%
unpow249.6%
+-commutative49.6%
associate-*l*45.6%
associate-*l/43.4%
associate-/r/43.3%
+-commutative43.3%
associate-+r+43.3%
Simplified43.3%
add-sqr-sqrt26.5%
pow226.5%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.9%
associate-/l*39.9%
Simplified39.9%
Taylor expanded in k around 0 23.8%
associate-/l*23.8%
Simplified23.8%
if 1.05e-62 < t Initial program 55.7%
Simplified55.8%
Applied egg-rr48.5%
Taylor expanded in k around 0 53.8%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.65e-62)
(* (/ 1.0 t_m) (pow (* l (* (sqrt 2.0) (pow k_m -2.0))) 2.0))
(/ 2.0 (pow (* (/ (* k_m (sqrt 2.0)) l) (sqrt (pow t_m 3.0))) 2.0)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.65e-62) {
tmp = (1.0 / t_m) * pow((l * (sqrt(2.0) * pow(k_m, -2.0))), 2.0);
} else {
tmp = 2.0 / pow((((k_m * sqrt(2.0)) / l) * sqrt(pow(t_m, 3.0))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 1.65d-62) then
tmp = (1.0d0 / t_m) * ((l * (sqrt(2.0d0) * (k_m ** (-2.0d0)))) ** 2.0d0)
else
tmp = 2.0d0 / ((((k_m * sqrt(2.0d0)) / l) * sqrt((t_m ** 3.0d0))) ** 2.0d0)
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.65e-62) {
tmp = (1.0 / t_m) * Math.pow((l * (Math.sqrt(2.0) * Math.pow(k_m, -2.0))), 2.0);
} else {
tmp = 2.0 / Math.pow((((k_m * Math.sqrt(2.0)) / l) * Math.sqrt(Math.pow(t_m, 3.0))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 1.65e-62: tmp = (1.0 / t_m) * math.pow((l * (math.sqrt(2.0) * math.pow(k_m, -2.0))), 2.0) else: tmp = 2.0 / math.pow((((k_m * math.sqrt(2.0)) / l) * math.sqrt(math.pow(t_m, 3.0))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.65e-62) tmp = Float64(Float64(1.0 / t_m) * (Float64(l * Float64(sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0)); else tmp = Float64(2.0 / (Float64(Float64(Float64(k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 1.65e-62) tmp = (1.0 / t_m) * ((l * (sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0); else tmp = 2.0 / ((((k_m * sqrt(2.0)) / l) * sqrt((t_m ^ 3.0))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.65e-62], N[(N[(1.0 / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(N[(k$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[Sqrt[N[Power[t$95$m, 3.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.65 \cdot 10^{-62}:\\
\;\;\;\;\frac{1}{t\_m} \cdot {\left(\ell \cdot \left(\sqrt{2} \cdot {k\_m}^{-2}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\frac{k\_m \cdot \sqrt{2}}{\ell} \cdot \sqrt{{t\_m}^{3}}\right)}^{2}}\\
\end{array}
\end{array}
if t < 1.65000000000000002e-62Initial program 49.6%
associate-/r*49.6%
+-commutative49.6%
unpow249.6%
sqr-neg49.6%
distribute-frac-neg249.6%
distribute-frac-neg249.6%
unpow249.6%
+-commutative49.6%
associate-*l*45.6%
associate-*l/43.4%
associate-/r/43.3%
+-commutative43.3%
associate-+r+43.3%
Simplified43.3%
add-sqr-sqrt26.5%
pow226.5%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.9%
associate-/l*39.9%
Simplified39.9%
Taylor expanded in k around 0 23.8%
associate-/l*23.8%
Simplified23.8%
unpow-prod-down23.8%
div-inv23.8%
pow-flip23.8%
metadata-eval23.8%
pow223.8%
add-sqr-sqrt60.5%
Applied egg-rr60.5%
if 1.65000000000000002e-62 < t Initial program 55.7%
Simplified55.8%
Applied egg-rr48.5%
Taylor expanded in k around 0 53.8%
Final simplification58.4%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.26e-61)
(* (/ 1.0 t_m) (pow (* l (* (sqrt 2.0) (pow k_m -2.0))) 2.0))
(/ 2.0 (* (* (sin k_m) (/ (pow t_m 3.0) (* l l))) (* 2.0 (tan k_m)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.26e-61) {
tmp = (1.0 / t_m) * pow((l * (sqrt(2.0) * pow(k_m, -2.0))), 2.0);
} else {
tmp = 2.0 / ((sin(k_m) * (pow(t_m, 3.0) / (l * l))) * (2.0 * tan(k_m)));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 1.26d-61) then
tmp = (1.0d0 / t_m) * ((l * (sqrt(2.0d0) * (k_m ** (-2.0d0)))) ** 2.0d0)
else
tmp = 2.0d0 / ((sin(k_m) * ((t_m ** 3.0d0) / (l * l))) * (2.0d0 * tan(k_m)))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.26e-61) {
tmp = (1.0 / t_m) * Math.pow((l * (Math.sqrt(2.0) * Math.pow(k_m, -2.0))), 2.0);
} else {
tmp = 2.0 / ((Math.sin(k_m) * (Math.pow(t_m, 3.0) / (l * l))) * (2.0 * Math.tan(k_m)));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 1.26e-61: tmp = (1.0 / t_m) * math.pow((l * (math.sqrt(2.0) * math.pow(k_m, -2.0))), 2.0) else: tmp = 2.0 / ((math.sin(k_m) * (math.pow(t_m, 3.0) / (l * l))) * (2.0 * math.tan(k_m))) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.26e-61) tmp = Float64(Float64(1.0 / t_m) * (Float64(l * Float64(sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(sin(k_m) * Float64((t_m ^ 3.0) / Float64(l * l))) * Float64(2.0 * tan(k_m)))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 1.26e-61) tmp = (1.0 / t_m) * ((l * (sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0); else tmp = 2.0 / ((sin(k_m) * ((t_m ^ 3.0) / (l * l))) * (2.0 * tan(k_m))); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.26e-61], N[(N[(1.0 / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[Tan[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.26 \cdot 10^{-61}:\\
\;\;\;\;\frac{1}{t\_m} \cdot {\left(\ell \cdot \left(\sqrt{2} \cdot {k\_m}^{-2}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\sin k\_m \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right) \cdot \left(2 \cdot \tan k\_m\right)}\\
\end{array}
\end{array}
if t < 1.2599999999999999e-61Initial program 49.4%
associate-/r*49.4%
+-commutative49.4%
unpow249.4%
sqr-neg49.4%
distribute-frac-neg249.4%
distribute-frac-neg249.4%
unpow249.4%
+-commutative49.4%
associate-*l*45.3%
associate-*l/43.2%
associate-/r/43.0%
+-commutative43.0%
associate-+r+43.0%
Simplified43.0%
add-sqr-sqrt26.3%
pow226.3%
Applied egg-rr29.4%
Taylor expanded in t around 0 39.7%
associate-/l*39.7%
Simplified39.7%
Taylor expanded in k around 0 23.7%
associate-/l*23.7%
Simplified23.7%
unpow-prod-down23.7%
div-inv23.7%
pow-flip23.7%
metadata-eval23.7%
pow223.7%
add-sqr-sqrt60.2%
Applied egg-rr60.2%
if 1.2599999999999999e-61 < t Initial program 56.4%
Simplified56.4%
Taylor expanded in k around 0 49.4%
Final simplification56.8%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 4e-59)
(* (/ 1.0 t_m) (pow (* l (* (sqrt 2.0) (pow k_m -2.0))) 2.0))
(if (<= t_m 2.6e+148)
(/ 2.0 (* (* (pow t_m 2.0) (/ t_m l)) (/ (* 2.0 (pow k_m 2.0)) l)))
(/ 2.0 (* (* k_m 2.0) (* (sin k_m) (/ (pow t_m 3.0) (* l l)))))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 4e-59) {
tmp = (1.0 / t_m) * pow((l * (sqrt(2.0) * pow(k_m, -2.0))), 2.0);
} else if (t_m <= 2.6e+148) {
tmp = 2.0 / ((pow(t_m, 2.0) * (t_m / l)) * ((2.0 * pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 4d-59) then
tmp = (1.0d0 / t_m) * ((l * (sqrt(2.0d0) * (k_m ** (-2.0d0)))) ** 2.0d0)
else if (t_m <= 2.6d+148) then
tmp = 2.0d0 / (((t_m ** 2.0d0) * (t_m / l)) * ((2.0d0 * (k_m ** 2.0d0)) / l))
else
tmp = 2.0d0 / ((k_m * 2.0d0) * (sin(k_m) * ((t_m ** 3.0d0) / (l * l))))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 4e-59) {
tmp = (1.0 / t_m) * Math.pow((l * (Math.sqrt(2.0) * Math.pow(k_m, -2.0))), 2.0);
} else if (t_m <= 2.6e+148) {
tmp = 2.0 / ((Math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * Math.pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (Math.sin(k_m) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 4e-59: tmp = (1.0 / t_m) * math.pow((l * (math.sqrt(2.0) * math.pow(k_m, -2.0))), 2.0) elif t_m <= 2.6e+148: tmp = 2.0 / ((math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * math.pow(k_m, 2.0)) / l)) else: tmp = 2.0 / ((k_m * 2.0) * (math.sin(k_m) * (math.pow(t_m, 3.0) / (l * l)))) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 4e-59) tmp = Float64(Float64(1.0 / t_m) * (Float64(l * Float64(sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0)); elseif (t_m <= 2.6e+148) tmp = Float64(2.0 / Float64(Float64((t_m ^ 2.0) * Float64(t_m / l)) * Float64(Float64(2.0 * (k_m ^ 2.0)) / l))); else tmp = Float64(2.0 / Float64(Float64(k_m * 2.0) * Float64(sin(k_m) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 4e-59) tmp = (1.0 / t_m) * ((l * (sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0); elseif (t_m <= 2.6e+148) tmp = 2.0 / (((t_m ^ 2.0) * (t_m / l)) * ((2.0 * (k_m ^ 2.0)) / l)); else tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * ((t_m ^ 3.0) / (l * l)))); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 4e-59], N[(N[(1.0 / t$95$m), $MachinePrecision] * N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.6e+148], N[(2.0 / N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k$95$m * 2.0), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
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 \cdot 10^{-59}:\\
\;\;\;\;\frac{1}{t\_m} \cdot {\left(\ell \cdot \left(\sqrt{2} \cdot {k\_m}^{-2}\right)\right)}^{2}\\
\mathbf{elif}\;t\_m \leq 2.6 \cdot 10^{+148}:\\
\;\;\;\;\frac{2}{\left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right) \cdot \frac{2 \cdot {k\_m}^{2}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k\_m \cdot 2\right) \cdot \left(\sin k\_m \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 4.0000000000000001e-59Initial program 50.2%
associate-/r*50.2%
+-commutative50.2%
unpow250.2%
sqr-neg50.2%
distribute-frac-neg250.2%
distribute-frac-neg250.2%
unpow250.2%
+-commutative50.2%
associate-*l*46.2%
associate-*l/44.1%
associate-/r/44.0%
+-commutative44.0%
associate-+r+44.0%
Simplified44.0%
add-sqr-sqrt26.4%
pow226.4%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.6%
associate-/l*39.6%
Simplified39.6%
Taylor expanded in k around 0 23.9%
associate-/l*23.9%
Simplified23.9%
unpow-prod-down23.9%
div-inv23.9%
pow-flip23.9%
metadata-eval23.9%
pow223.9%
add-sqr-sqrt59.8%
Applied egg-rr59.8%
if 4.0000000000000001e-59 < t < 2.6e148Initial program 62.4%
Simplified67.2%
Taylor expanded in k around 0 49.0%
associate-*l/49.3%
Applied egg-rr49.3%
associate-/l*49.3%
Simplified49.3%
unpow349.3%
*-un-lft-identity49.3%
times-frac54.2%
pow254.2%
Applied egg-rr54.2%
if 2.6e148 < t Initial program 46.4%
Simplified46.4%
Taylor expanded in k around 0 46.4%
Final simplification57.0%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 2.7e-59)
(/ (pow (* l (* (sqrt 2.0) (pow k_m -2.0))) 2.0) t_m)
(if (<= t_m 4.8e+148)
(/ 2.0 (* (* (pow t_m 2.0) (/ t_m l)) (/ (* 2.0 (pow k_m 2.0)) l)))
(/ 2.0 (* (* k_m 2.0) (* (sin k_m) (/ (pow t_m 3.0) (* l l)))))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 2.7e-59) {
tmp = pow((l * (sqrt(2.0) * pow(k_m, -2.0))), 2.0) / t_m;
} else if (t_m <= 4.8e+148) {
tmp = 2.0 / ((pow(t_m, 2.0) * (t_m / l)) * ((2.0 * pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 2.7d-59) then
tmp = ((l * (sqrt(2.0d0) * (k_m ** (-2.0d0)))) ** 2.0d0) / t_m
else if (t_m <= 4.8d+148) then
tmp = 2.0d0 / (((t_m ** 2.0d0) * (t_m / l)) * ((2.0d0 * (k_m ** 2.0d0)) / l))
else
tmp = 2.0d0 / ((k_m * 2.0d0) * (sin(k_m) * ((t_m ** 3.0d0) / (l * l))))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 2.7e-59) {
tmp = Math.pow((l * (Math.sqrt(2.0) * Math.pow(k_m, -2.0))), 2.0) / t_m;
} else if (t_m <= 4.8e+148) {
tmp = 2.0 / ((Math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * Math.pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (Math.sin(k_m) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 2.7e-59: tmp = math.pow((l * (math.sqrt(2.0) * math.pow(k_m, -2.0))), 2.0) / t_m elif t_m <= 4.8e+148: tmp = 2.0 / ((math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * math.pow(k_m, 2.0)) / l)) else: tmp = 2.0 / ((k_m * 2.0) * (math.sin(k_m) * (math.pow(t_m, 3.0) / (l * l)))) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 2.7e-59) tmp = Float64((Float64(l * Float64(sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0) / t_m); elseif (t_m <= 4.8e+148) tmp = Float64(2.0 / Float64(Float64((t_m ^ 2.0) * Float64(t_m / l)) * Float64(Float64(2.0 * (k_m ^ 2.0)) / l))); else tmp = Float64(2.0 / Float64(Float64(k_m * 2.0) * Float64(sin(k_m) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 2.7e-59) tmp = ((l * (sqrt(2.0) * (k_m ^ -2.0))) ^ 2.0) / t_m; elseif (t_m <= 4.8e+148) tmp = 2.0 / (((t_m ^ 2.0) * (t_m / l)) * ((2.0 * (k_m ^ 2.0)) / l)); else tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * ((t_m ^ 3.0) / (l * l)))); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 2.7e-59], N[(N[Power[N[(l * N[(N[Sqrt[2.0], $MachinePrecision] * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision], If[LessEqual[t$95$m, 4.8e+148], N[(2.0 / N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k$95$m * 2.0), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 2.7 \cdot 10^{-59}:\\
\;\;\;\;\frac{{\left(\ell \cdot \left(\sqrt{2} \cdot {k\_m}^{-2}\right)\right)}^{2}}{t\_m}\\
\mathbf{elif}\;t\_m \leq 4.8 \cdot 10^{+148}:\\
\;\;\;\;\frac{2}{\left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right) \cdot \frac{2 \cdot {k\_m}^{2}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k\_m \cdot 2\right) \cdot \left(\sin k\_m \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 2.6999999999999999e-59Initial program 50.2%
associate-/r*50.2%
+-commutative50.2%
unpow250.2%
sqr-neg50.2%
distribute-frac-neg250.2%
distribute-frac-neg250.2%
unpow250.2%
+-commutative50.2%
associate-*l*46.2%
associate-*l/44.1%
associate-/r/44.0%
+-commutative44.0%
associate-+r+44.0%
Simplified44.0%
add-sqr-sqrt26.4%
pow226.4%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.6%
associate-/l*39.6%
Simplified39.6%
Taylor expanded in k around 0 23.9%
associate-/l*23.9%
Simplified23.9%
*-un-lft-identity23.9%
*-commutative23.9%
unpow-prod-down23.9%
pow223.9%
add-sqr-sqrt59.8%
div-inv59.8%
pow-flip59.8%
metadata-eval59.8%
Applied egg-rr59.8%
*-lft-identity59.8%
associate-*l/59.8%
*-lft-identity59.8%
Simplified59.8%
if 2.6999999999999999e-59 < t < 4.79999999999999989e148Initial program 62.4%
Simplified67.2%
Taylor expanded in k around 0 49.0%
associate-*l/49.3%
Applied egg-rr49.3%
associate-/l*49.3%
Simplified49.3%
unpow349.3%
*-un-lft-identity49.3%
times-frac54.2%
pow254.2%
Applied egg-rr54.2%
if 4.79999999999999989e148 < t Initial program 46.4%
Simplified46.4%
Taylor expanded in k around 0 46.4%
Final simplification57.0%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 3.4e-138)
(* (* l l) (/ 2.0 (* t_m (pow k_m 4.0))))
(if (<= t_m 1.4e+145)
(/ 2.0 (* (* (pow t_m 2.0) (/ t_m l)) (/ (* 2.0 (pow k_m 2.0)) l)))
(/ 2.0 (* (* k_m 2.0) (* (sin k_m) (/ (pow t_m 3.0) (* l l)))))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 3.4e-138) {
tmp = (l * l) * (2.0 / (t_m * pow(k_m, 4.0)));
} else if (t_m <= 1.4e+145) {
tmp = 2.0 / ((pow(t_m, 2.0) * (t_m / l)) * ((2.0 * pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * (pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 3.4d-138) then
tmp = (l * l) * (2.0d0 / (t_m * (k_m ** 4.0d0)))
else if (t_m <= 1.4d+145) then
tmp = 2.0d0 / (((t_m ** 2.0d0) * (t_m / l)) * ((2.0d0 * (k_m ** 2.0d0)) / l))
else
tmp = 2.0d0 / ((k_m * 2.0d0) * (sin(k_m) * ((t_m ** 3.0d0) / (l * l))))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 3.4e-138) {
tmp = (l * l) * (2.0 / (t_m * Math.pow(k_m, 4.0)));
} else if (t_m <= 1.4e+145) {
tmp = 2.0 / ((Math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * Math.pow(k_m, 2.0)) / l));
} else {
tmp = 2.0 / ((k_m * 2.0) * (Math.sin(k_m) * (Math.pow(t_m, 3.0) / (l * l))));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 3.4e-138: tmp = (l * l) * (2.0 / (t_m * math.pow(k_m, 4.0))) elif t_m <= 1.4e+145: tmp = 2.0 / ((math.pow(t_m, 2.0) * (t_m / l)) * ((2.0 * math.pow(k_m, 2.0)) / l)) else: tmp = 2.0 / ((k_m * 2.0) * (math.sin(k_m) * (math.pow(t_m, 3.0) / (l * l)))) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 3.4e-138) tmp = Float64(Float64(l * l) * Float64(2.0 / Float64(t_m * (k_m ^ 4.0)))); elseif (t_m <= 1.4e+145) tmp = Float64(2.0 / Float64(Float64((t_m ^ 2.0) * Float64(t_m / l)) * Float64(Float64(2.0 * (k_m ^ 2.0)) / l))); else tmp = Float64(2.0 / Float64(Float64(k_m * 2.0) * Float64(sin(k_m) * Float64((t_m ^ 3.0) / Float64(l * l))))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 3.4e-138) tmp = (l * l) * (2.0 / (t_m * (k_m ^ 4.0))); elseif (t_m <= 1.4e+145) tmp = 2.0 / (((t_m ^ 2.0) * (t_m / l)) * ((2.0 * (k_m ^ 2.0)) / l)); else tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * ((t_m ^ 3.0) / (l * l)))); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 3.4e-138], N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t$95$m * N[Power[k$95$m, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.4e+145], N[(2.0 / N[(N[(N[Power[t$95$m, 2.0], $MachinePrecision] * N[(t$95$m / l), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k$95$m * 2.0), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.4 \cdot 10^{-138}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2}{t\_m \cdot {k\_m}^{4}}\\
\mathbf{elif}\;t\_m \leq 1.4 \cdot 10^{+145}:\\
\;\;\;\;\frac{2}{\left({t\_m}^{2} \cdot \frac{t\_m}{\ell}\right) \cdot \frac{2 \cdot {k\_m}^{2}}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k\_m \cdot 2\right) \cdot \left(\sin k\_m \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if t < 3.4000000000000001e-138Initial program 47.9%
associate-/r*47.9%
+-commutative47.9%
unpow247.9%
sqr-neg47.9%
distribute-frac-neg247.9%
distribute-frac-neg247.9%
unpow247.9%
+-commutative47.9%
associate-*l*43.2%
associate-*l/42.1%
associate-/r/41.9%
+-commutative41.9%
associate-+r+41.9%
Simplified41.9%
add-sqr-sqrt22.5%
pow222.5%
Applied egg-rr26.0%
Taylor expanded in t around 0 34.2%
associate-/l*34.1%
Simplified34.1%
Taylor expanded in k around 0 52.7%
associate-/l*52.7%
unpow252.7%
rem-square-sqrt52.7%
*-commutative52.7%
Simplified52.7%
unpow252.7%
Applied egg-rr52.7%
if 3.4000000000000001e-138 < t < 1.3999999999999999e145Initial program 62.7%
Simplified67.1%
Taylor expanded in k around 0 47.8%
associate-*l/47.9%
Applied egg-rr47.9%
associate-/l*47.9%
Simplified47.9%
unpow347.9%
*-un-lft-identity47.9%
times-frac55.3%
pow255.3%
Applied egg-rr55.3%
if 1.3999999999999999e145 < t Initial program 46.4%
Simplified46.4%
Taylor expanded in k around 0 46.4%
Final simplification52.5%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 1.4e-47)
(/ 2.0 (* (* k_m 2.0) (* (sin k_m) (/ (pow t_m 3.0) (* l l)))))
(* (* l l) (/ 2.0 (* t_m (pow k_m 4.0)))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.4e-47) {
tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * (pow(t_m, 3.0) / (l * l))));
} else {
tmp = (l * l) * (2.0 / (t_m * pow(k_m, 4.0)));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 1.4d-47) then
tmp = 2.0d0 / ((k_m * 2.0d0) * (sin(k_m) * ((t_m ** 3.0d0) / (l * l))))
else
tmp = (l * l) * (2.0d0 / (t_m * (k_m ** 4.0d0)))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.4e-47) {
tmp = 2.0 / ((k_m * 2.0) * (Math.sin(k_m) * (Math.pow(t_m, 3.0) / (l * l))));
} else {
tmp = (l * l) * (2.0 / (t_m * Math.pow(k_m, 4.0)));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if k_m <= 1.4e-47: tmp = 2.0 / ((k_m * 2.0) * (math.sin(k_m) * (math.pow(t_m, 3.0) / (l * l)))) else: tmp = (l * l) * (2.0 / (t_m * math.pow(k_m, 4.0))) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 1.4e-47) tmp = Float64(2.0 / Float64(Float64(k_m * 2.0) * Float64(sin(k_m) * Float64((t_m ^ 3.0) / Float64(l * l))))); else tmp = Float64(Float64(l * l) * Float64(2.0 / Float64(t_m * (k_m ^ 4.0)))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (k_m <= 1.4e-47) tmp = 2.0 / ((k_m * 2.0) * (sin(k_m) * ((t_m ^ 3.0) / (l * l)))); else tmp = (l * l) * (2.0 / (t_m * (k_m ^ 4.0))); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 1.4e-47], N[(2.0 / N[(N[(k$95$m * 2.0), $MachinePrecision] * N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t$95$m * N[Power[k$95$m, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 1.4 \cdot 10^{-47}:\\
\;\;\;\;\frac{2}{\left(k\_m \cdot 2\right) \cdot \left(\sin k\_m \cdot \frac{{t\_m}^{3}}{\ell \cdot \ell}\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2}{t\_m \cdot {k\_m}^{4}}\\
\end{array}
\end{array}
if k < 1.39999999999999996e-47Initial program 56.5%
Simplified56.5%
Taylor expanded in k around 0 56.8%
if 1.39999999999999996e-47 < k Initial program 37.2%
associate-/r*37.2%
+-commutative37.2%
unpow237.2%
sqr-neg37.2%
distribute-frac-neg237.2%
distribute-frac-neg237.2%
unpow237.2%
+-commutative37.2%
associate-*l*37.2%
associate-*l/35.5%
associate-/r/35.5%
+-commutative35.5%
associate-+r+35.5%
Simplified35.5%
add-sqr-sqrt29.5%
pow229.5%
Applied egg-rr34.6%
Taylor expanded in t around 0 54.0%
associate-/l*53.9%
Simplified53.9%
Taylor expanded in k around 0 44.5%
associate-/l*44.5%
unpow244.5%
rem-square-sqrt44.5%
*-commutative44.5%
Simplified44.5%
unpow244.5%
Applied egg-rr44.5%
Final simplification53.7%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 9.2e-69)
(* (* l l) (/ 2.0 (* t_m (pow k_m 4.0))))
(/ 2.0 (* (/ (* 2.0 (pow k_m 2.0)) l) (/ (pow t_m 3.0) l))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 9.2e-69) {
tmp = (l * l) * (2.0 / (t_m * pow(k_m, 4.0)));
} else {
tmp = 2.0 / (((2.0 * pow(k_m, 2.0)) / l) * (pow(t_m, 3.0) / l));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 9.2d-69) then
tmp = (l * l) * (2.0d0 / (t_m * (k_m ** 4.0d0)))
else
tmp = 2.0d0 / (((2.0d0 * (k_m ** 2.0d0)) / l) * ((t_m ** 3.0d0) / l))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 9.2e-69) {
tmp = (l * l) * (2.0 / (t_m * Math.pow(k_m, 4.0)));
} else {
tmp = 2.0 / (((2.0 * Math.pow(k_m, 2.0)) / l) * (Math.pow(t_m, 3.0) / l));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 9.2e-69: tmp = (l * l) * (2.0 / (t_m * math.pow(k_m, 4.0))) else: tmp = 2.0 / (((2.0 * math.pow(k_m, 2.0)) / l) * (math.pow(t_m, 3.0) / l)) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 9.2e-69) tmp = Float64(Float64(l * l) * Float64(2.0 / Float64(t_m * (k_m ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(Float64(2.0 * (k_m ^ 2.0)) / l) * Float64((t_m ^ 3.0) / l))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 9.2e-69) tmp = (l * l) * (2.0 / (t_m * (k_m ^ 4.0))); else tmp = 2.0 / (((2.0 * (k_m ^ 2.0)) / l) * ((t_m ^ 3.0) / l)); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 9.2e-69], N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t$95$m * N[Power[k$95$m, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision] * N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9.2 \cdot 10^{-69}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2}{t\_m \cdot {k\_m}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{2 \cdot {k\_m}^{2}}{\ell} \cdot \frac{{t\_m}^{3}}{\ell}}\\
\end{array}
\end{array}
if t < 9.2000000000000003e-69Initial program 49.6%
associate-/r*49.6%
+-commutative49.6%
unpow249.6%
sqr-neg49.6%
distribute-frac-neg249.6%
distribute-frac-neg249.6%
unpow249.6%
+-commutative49.6%
associate-*l*45.6%
associate-*l/43.4%
associate-/r/43.3%
+-commutative43.3%
associate-+r+43.3%
Simplified43.3%
add-sqr-sqrt26.5%
pow226.5%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.9%
associate-/l*39.9%
Simplified39.9%
Taylor expanded in k around 0 55.1%
associate-/l*55.1%
unpow255.1%
rem-square-sqrt55.1%
*-commutative55.1%
Simplified55.1%
unpow255.1%
Applied egg-rr55.1%
if 9.2000000000000003e-69 < t Initial program 55.7%
Simplified56.4%
Taylor expanded in k around 0 45.0%
associate-*l/45.2%
Applied egg-rr45.2%
associate-/l*44.9%
Simplified44.9%
Final simplification51.8%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= t_m 1.6e-62)
(* (* l l) (/ 2.0 (* t_m (pow k_m 4.0))))
(/ 2.0 (* (* 2.0 (pow k_m 2.0)) (/ (/ (pow t_m 3.0) l) l))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.6e-62) {
tmp = (l * l) * (2.0 / (t_m * pow(k_m, 4.0)));
} else {
tmp = 2.0 / ((2.0 * pow(k_m, 2.0)) * ((pow(t_m, 3.0) / l) / l));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (t_m <= 1.6d-62) then
tmp = (l * l) * (2.0d0 / (t_m * (k_m ** 4.0d0)))
else
tmp = 2.0d0 / ((2.0d0 * (k_m ** 2.0d0)) * (((t_m ** 3.0d0) / l) / l))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (t_m <= 1.6e-62) {
tmp = (l * l) * (2.0 / (t_m * Math.pow(k_m, 4.0)));
} else {
tmp = 2.0 / ((2.0 * Math.pow(k_m, 2.0)) * ((Math.pow(t_m, 3.0) / l) / l));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if t_m <= 1.6e-62: tmp = (l * l) * (2.0 / (t_m * math.pow(k_m, 4.0))) else: tmp = 2.0 / ((2.0 * math.pow(k_m, 2.0)) * ((math.pow(t_m, 3.0) / l) / l)) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (t_m <= 1.6e-62) tmp = Float64(Float64(l * l) * Float64(2.0 / Float64(t_m * (k_m ^ 4.0)))); else tmp = Float64(2.0 / Float64(Float64(2.0 * (k_m ^ 2.0)) * Float64(Float64((t_m ^ 3.0) / l) / l))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (t_m <= 1.6e-62) tmp = (l * l) * (2.0 / (t_m * (k_m ^ 4.0))); else tmp = 2.0 / ((2.0 * (k_m ^ 2.0)) * (((t_m ^ 3.0) / l) / l)); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.6e-62], N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t$95$m * N[Power[k$95$m, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(2.0 * N[Power[k$95$m, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[t$95$m, 3.0], $MachinePrecision] / l), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.6 \cdot 10^{-62}:\\
\;\;\;\;\left(\ell \cdot \ell\right) \cdot \frac{2}{t\_m \cdot {k\_m}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(2 \cdot {k\_m}^{2}\right) \cdot \frac{\frac{{t\_m}^{3}}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 1.60000000000000011e-62Initial program 49.6%
associate-/r*49.6%
+-commutative49.6%
unpow249.6%
sqr-neg49.6%
distribute-frac-neg249.6%
distribute-frac-neg249.6%
unpow249.6%
+-commutative49.6%
associate-*l*45.6%
associate-*l/43.4%
associate-/r/43.3%
+-commutative43.3%
associate-+r+43.3%
Simplified43.3%
add-sqr-sqrt26.5%
pow226.5%
Applied egg-rr29.5%
Taylor expanded in t around 0 39.9%
associate-/l*39.9%
Simplified39.9%
Taylor expanded in k around 0 55.1%
associate-/l*55.1%
unpow255.1%
rem-square-sqrt55.1%
*-commutative55.1%
Simplified55.1%
unpow255.1%
Applied egg-rr55.1%
if 1.60000000000000011e-62 < t Initial program 55.7%
Simplified56.4%
Taylor expanded in k around 0 45.0%
Final simplification51.9%
k_m = (fabs.f64 k) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* (* l l) (/ 2.0 (* t_m (pow k_m 4.0))))))
k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
return t_s * ((l * l) * (2.0 / (t_m * pow(k_m, 4.0))));
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = t_s * ((l * l) * (2.0d0 / (t_m * (k_m ** 4.0d0))))
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
return t_s * ((l * l) * (2.0 / (t_m * Math.pow(k_m, 4.0))));
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): return t_s * ((l * l) * (2.0 / (t_m * math.pow(k_m, 4.0))))
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) return Float64(t_s * Float64(Float64(l * l) * Float64(2.0 / Float64(t_m * (k_m ^ 4.0))))) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k_m) tmp = t_s * ((l * l) * (2.0 / (t_m * (k_m ^ 4.0)))); end
k_m = N[Abs[k], $MachinePrecision]
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$95$m_] := N[(t$95$s * N[(N[(l * l), $MachinePrecision] * N[(2.0 / N[(t$95$m * N[Power[k$95$m, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\left(\ell \cdot \ell\right) \cdot \frac{2}{t\_m \cdot {k\_m}^{4}}\right)
\end{array}
Initial program 51.6%
associate-/r*51.6%
+-commutative51.6%
unpow251.6%
sqr-neg51.6%
distribute-frac-neg251.6%
distribute-frac-neg251.6%
unpow251.6%
+-commutative51.6%
associate-*l*47.1%
associate-*l/45.7%
associate-/r/45.6%
+-commutative45.6%
associate-+r+45.6%
Simplified45.6%
add-sqr-sqrt31.7%
pow231.7%
Applied egg-rr34.2%
Taylor expanded in t around 0 38.0%
associate-/l*38.0%
Simplified38.0%
Taylor expanded in k around 0 49.7%
associate-/l*49.7%
unpow249.7%
rem-square-sqrt49.7%
*-commutative49.7%
Simplified49.7%
unpow249.7%
Applied egg-rr49.7%
herbie shell --seed 2024117
(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))))