
(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 12 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 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 4.8e-18)
(/ 2.0 (pow (/ (* k_m (sqrt (/ t_m (cos k_m)))) (/ l (sin k_m))) 2.0))
(*
2.0
(*
(pow (/ 1.0 (/ k_m (/ l (sqrt t_m)))) 2.0)
(/ (cos k_m) (pow (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 <= 4.8e-18) {
tmp = 2.0 / pow(((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))), 2.0);
} else {
tmp = 2.0 * (pow((1.0 / (k_m / (l / sqrt(t_m)))), 2.0) * (cos(k_m) / pow(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 <= 4.8d-18) then
tmp = 2.0d0 / (((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))) ** 2.0d0)
else
tmp = 2.0d0 * (((1.0d0 / (k_m / (l / sqrt(t_m)))) ** 2.0d0) * (cos(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 <= 4.8e-18) {
tmp = 2.0 / Math.pow(((k_m * Math.sqrt((t_m / Math.cos(k_m)))) / (l / Math.sin(k_m))), 2.0);
} else {
tmp = 2.0 * (Math.pow((1.0 / (k_m / (l / Math.sqrt(t_m)))), 2.0) * (Math.cos(k_m) / Math.pow(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 <= 4.8e-18: tmp = 2.0 / math.pow(((k_m * math.sqrt((t_m / math.cos(k_m)))) / (l / math.sin(k_m))), 2.0) else: tmp = 2.0 * (math.pow((1.0 / (k_m / (l / math.sqrt(t_m)))), 2.0) * (math.cos(k_m) / math.pow(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 <= 4.8e-18) tmp = Float64(2.0 / (Float64(Float64(k_m * sqrt(Float64(t_m / cos(k_m)))) / Float64(l / sin(k_m))) ^ 2.0)); else tmp = Float64(2.0 * Float64((Float64(1.0 / Float64(k_m / Float64(l / sqrt(t_m)))) ^ 2.0) * Float64(cos(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 <= 4.8e-18) tmp = 2.0 / (((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))) ^ 2.0); else tmp = 2.0 * (((1.0 / (k_m / (l / sqrt(t_m)))) ^ 2.0) * (cos(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, 4.8e-18], N[(2.0 / N[Power[N[(N[(k$95$m * N[Sqrt[N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[Power[N[(1.0 / N[(k$95$m / N[(l / N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] * N[(N[Cos[k$95$m], $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $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 4.8 \cdot 10^{-18}:\\
\;\;\;\;\frac{2}{{\left(\frac{k_m \cdot \sqrt{\frac{t_m}{\cos k_m}}}{\frac{\ell}{\sin k_m}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left({\left(\frac{1}{\frac{k_m}{\frac{\ell}{\sqrt{t_m}}}}\right)}^{2} \cdot \frac{\cos k_m}{{\sin k_m}^{2}}\right)\\
\end{array}
\end{array}
if k < 4.79999999999999988e-18Initial program 39.4%
associate-*l*39.4%
associate-*l/39.9%
associate--l+39.9%
Simplified39.9%
add-sqr-sqrt13.7%
pow213.7%
Applied egg-rr14.8%
associate-/l*15.3%
associate-*r/15.4%
Simplified15.4%
Taylor expanded in k around inf 36.8%
associate-/l*37.3%
Simplified37.3%
associate-*l/37.4%
Applied egg-rr37.4%
if 4.79999999999999988e-18 < k Initial program 34.2%
associate-/r*34.2%
*-commutative34.2%
associate-*l*34.2%
associate-*l/34.1%
+-commutative34.1%
unpow234.1%
sqr-neg34.1%
distribute-frac-neg34.1%
distribute-frac-neg34.1%
unpow234.1%
associate--l+41.9%
metadata-eval41.9%
+-rgt-identity41.9%
unpow241.9%
distribute-frac-neg41.9%
distribute-frac-neg41.9%
Simplified41.9%
Taylor expanded in k around inf 73.5%
expm1-log1p-u62.1%
expm1-udef55.6%
times-frac55.6%
Applied egg-rr55.6%
expm1-def59.7%
expm1-log1p71.3%
times-frac73.5%
associate-*r*73.5%
times-frac73.5%
*-commutative73.5%
Simplified73.5%
expm1-log1p-u64.4%
expm1-udef57.9%
pow257.9%
add-sqr-sqrt56.7%
pow256.7%
sqrt-div29.2%
sqrt-prod12.5%
add-sqr-sqrt33.7%
*-commutative33.7%
sqrt-prod33.7%
unpow233.7%
sqrt-prod37.0%
add-sqr-sqrt37.0%
Applied egg-rr37.0%
expm1-def46.3%
expm1-log1p47.3%
Simplified47.3%
clear-num47.2%
inv-pow47.2%
Applied egg-rr47.2%
unpow-147.2%
associate-/l*47.2%
Simplified47.2%
Final simplification40.4%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 3.7e-17)
(/ 2.0 (pow (/ (* k_m (sqrt (/ t_m (cos k_m)))) (/ l (sin k_m))) 2.0))
(*
2.0
(*
(/ (cos k_m) (pow (sin k_m) 2.0))
(pow (/ l (* k_m (sqrt 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 (k_m <= 3.7e-17) {
tmp = 2.0 / pow(((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))), 2.0);
} else {
tmp = 2.0 * ((cos(k_m) / pow(sin(k_m), 2.0)) * pow((l / (k_m * sqrt(t_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 <= 3.7d-17) then
tmp = 2.0d0 / (((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))) ** 2.0d0)
else
tmp = 2.0d0 * ((cos(k_m) / (sin(k_m) ** 2.0d0)) * ((l / (k_m * sqrt(t_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 <= 3.7e-17) {
tmp = 2.0 / Math.pow(((k_m * Math.sqrt((t_m / Math.cos(k_m)))) / (l / Math.sin(k_m))), 2.0);
} else {
tmp = 2.0 * ((Math.cos(k_m) / Math.pow(Math.sin(k_m), 2.0)) * Math.pow((l / (k_m * Math.sqrt(t_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-17: tmp = 2.0 / math.pow(((k_m * math.sqrt((t_m / math.cos(k_m)))) / (l / math.sin(k_m))), 2.0) else: tmp = 2.0 * ((math.cos(k_m) / math.pow(math.sin(k_m), 2.0)) * math.pow((l / (k_m * math.sqrt(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 (k_m <= 3.7e-17) tmp = Float64(2.0 / (Float64(Float64(k_m * sqrt(Float64(t_m / cos(k_m)))) / Float64(l / sin(k_m))) ^ 2.0)); else tmp = Float64(2.0 * Float64(Float64(cos(k_m) / (sin(k_m) ^ 2.0)) * (Float64(l / Float64(k_m * sqrt(t_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-17) tmp = 2.0 / (((k_m * sqrt((t_m / cos(k_m)))) / (l / sin(k_m))) ^ 2.0); else tmp = 2.0 * ((cos(k_m) / (sin(k_m) ^ 2.0)) * ((l / (k_m * sqrt(t_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-17], N[(2.0 / N[Power[N[(N[(k$95$m * N[Sqrt[N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[Cos[k$95$m], $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] * N[Power[N[(l / N[(k$95$m * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 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}\;k_m \leq 3.7 \cdot 10^{-17}:\\
\;\;\;\;\frac{2}{{\left(\frac{k_m \cdot \sqrt{\frac{t_m}{\cos k_m}}}{\frac{\ell}{\sin k_m}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(\frac{\cos k_m}{{\sin k_m}^{2}} \cdot {\left(\frac{\ell}{k_m \cdot \sqrt{t_m}}\right)}^{2}\right)\\
\end{array}
\end{array}
if k < 3.6999999999999997e-17Initial program 39.4%
associate-*l*39.4%
associate-*l/39.9%
associate--l+39.9%
Simplified39.9%
add-sqr-sqrt13.7%
pow213.7%
Applied egg-rr14.8%
associate-/l*15.3%
associate-*r/15.4%
Simplified15.4%
Taylor expanded in k around inf 36.8%
associate-/l*37.3%
Simplified37.3%
associate-*l/37.4%
Applied egg-rr37.4%
if 3.6999999999999997e-17 < k Initial program 34.2%
associate-/r*34.2%
*-commutative34.2%
associate-*l*34.2%
associate-*l/34.1%
+-commutative34.1%
unpow234.1%
sqr-neg34.1%
distribute-frac-neg34.1%
distribute-frac-neg34.1%
unpow234.1%
associate--l+41.9%
metadata-eval41.9%
+-rgt-identity41.9%
unpow241.9%
distribute-frac-neg41.9%
distribute-frac-neg41.9%
Simplified41.9%
Taylor expanded in k around inf 73.5%
expm1-log1p-u62.1%
expm1-udef55.6%
times-frac55.6%
Applied egg-rr55.6%
expm1-def59.7%
expm1-log1p71.3%
times-frac73.5%
associate-*r*73.5%
times-frac73.5%
*-commutative73.5%
Simplified73.5%
expm1-log1p-u64.4%
expm1-udef57.9%
pow257.9%
add-sqr-sqrt56.7%
pow256.7%
sqrt-div29.2%
sqrt-prod12.5%
add-sqr-sqrt33.7%
*-commutative33.7%
sqrt-prod33.7%
unpow233.7%
sqrt-prod37.0%
add-sqr-sqrt37.0%
Applied egg-rr37.0%
expm1-def46.3%
expm1-log1p47.3%
Simplified47.3%
Final simplification40.5%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ t_m (cos k_m))))
(*
t_s
(if (<= k_m 14.0)
(* 2.0 (pow (* (sin k_m) (* (sqrt t_2) (/ k_m l))) -2.0))
(/ 2.0 (* t_2 (pow (* (sin k_m) (/ k_m l)) 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 = t_m / cos(k_m);
double tmp;
if (k_m <= 14.0) {
tmp = 2.0 * pow((sin(k_m) * (sqrt(t_2) * (k_m / l))), -2.0);
} else {
tmp = 2.0 / (t_2 * pow((sin(k_m) * (k_m / l)), 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) :: t_2
real(8) :: tmp
t_2 = t_m / cos(k_m)
if (k_m <= 14.0d0) then
tmp = 2.0d0 * ((sin(k_m) * (sqrt(t_2) * (k_m / l))) ** (-2.0d0))
else
tmp = 2.0d0 / (t_2 * ((sin(k_m) * (k_m / l)) ** 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 t_2 = t_m / Math.cos(k_m);
double tmp;
if (k_m <= 14.0) {
tmp = 2.0 * Math.pow((Math.sin(k_m) * (Math.sqrt(t_2) * (k_m / l))), -2.0);
} else {
tmp = 2.0 / (t_2 * Math.pow((Math.sin(k_m) * (k_m / l)), 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 = t_m / math.cos(k_m) tmp = 0 if k_m <= 14.0: tmp = 2.0 * math.pow((math.sin(k_m) * (math.sqrt(t_2) * (k_m / l))), -2.0) else: tmp = 2.0 / (t_2 * math.pow((math.sin(k_m) * (k_m / l)), 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 / cos(k_m)) tmp = 0.0 if (k_m <= 14.0) tmp = Float64(2.0 * (Float64(sin(k_m) * Float64(sqrt(t_2) * Float64(k_m / l))) ^ -2.0)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(sin(k_m) * Float64(k_m / l)) ^ 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 / cos(k_m); tmp = 0.0; if (k_m <= 14.0) tmp = 2.0 * ((sin(k_m) * (sqrt(t_2) * (k_m / l))) ^ -2.0); else tmp = 2.0 / (t_2 * ((sin(k_m) * (k_m / l)) ^ 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[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 14.0], N[(2.0 * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Sqrt[t$95$2], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision], 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)
\\
\begin{array}{l}
t_2 := \frac{t_m}{\cos k_m}\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;k_m \leq 14:\\
\;\;\;\;2 \cdot {\left(\sin k_m \cdot \left(\sqrt{t_2} \cdot \frac{k_m}{\ell}\right)\right)}^{-2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t_2 \cdot {\left(\sin k_m \cdot \frac{k_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if k < 14Initial program 40.1%
associate-*l*40.1%
associate-*l/40.6%
associate--l+40.6%
Simplified40.6%
add-sqr-sqrt13.6%
pow213.6%
Applied egg-rr14.7%
associate-/l*15.2%
associate-*r/15.2%
Simplified15.2%
Taylor expanded in k around inf 36.4%
associate-/l*36.9%
Simplified36.9%
div-inv36.9%
pow-flip36.9%
associate-/r/36.9%
metadata-eval36.9%
Applied egg-rr36.9%
*-commutative36.9%
associate-*l*36.9%
Simplified36.9%
if 14 < k Initial program 32.5%
associate-*l*32.5%
associate-*l/32.5%
associate--l+32.5%
Simplified32.5%
add-sqr-sqrt18.0%
pow218.0%
Applied egg-rr8.7%
associate-/l*8.7%
associate-*r/8.7%
Simplified8.7%
Taylor expanded in k around inf 45.9%
associate-/l*46.0%
Simplified46.0%
unpow-prod-down42.4%
associate-/r/42.3%
pow242.3%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
Final simplification52.2%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ t_m (cos k_m))))
(*
t_s
(if (<= k_m 0.65)
(/ 2.0 (pow (* (sqrt t_2) (/ k_m (/ l (sin k_m)))) 2.0))
(/ 2.0 (* t_2 (pow (* (sin k_m) (/ k_m l)) 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 = t_m / cos(k_m);
double tmp;
if (k_m <= 0.65) {
tmp = 2.0 / pow((sqrt(t_2) * (k_m / (l / sin(k_m)))), 2.0);
} else {
tmp = 2.0 / (t_2 * pow((sin(k_m) * (k_m / l)), 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) :: t_2
real(8) :: tmp
t_2 = t_m / cos(k_m)
if (k_m <= 0.65d0) then
tmp = 2.0d0 / ((sqrt(t_2) * (k_m / (l / sin(k_m)))) ** 2.0d0)
else
tmp = 2.0d0 / (t_2 * ((sin(k_m) * (k_m / l)) ** 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 t_2 = t_m / Math.cos(k_m);
double tmp;
if (k_m <= 0.65) {
tmp = 2.0 / Math.pow((Math.sqrt(t_2) * (k_m / (l / Math.sin(k_m)))), 2.0);
} else {
tmp = 2.0 / (t_2 * Math.pow((Math.sin(k_m) * (k_m / l)), 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 = t_m / math.cos(k_m) tmp = 0 if k_m <= 0.65: tmp = 2.0 / math.pow((math.sqrt(t_2) * (k_m / (l / math.sin(k_m)))), 2.0) else: tmp = 2.0 / (t_2 * math.pow((math.sin(k_m) * (k_m / l)), 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 / cos(k_m)) tmp = 0.0 if (k_m <= 0.65) tmp = Float64(2.0 / (Float64(sqrt(t_2) * Float64(k_m / Float64(l / sin(k_m)))) ^ 2.0)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(sin(k_m) * Float64(k_m / l)) ^ 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 / cos(k_m); tmp = 0.0; if (k_m <= 0.65) tmp = 2.0 / ((sqrt(t_2) * (k_m / (l / sin(k_m)))) ^ 2.0); else tmp = 2.0 / (t_2 * ((sin(k_m) * (k_m / l)) ^ 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[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 0.65], N[(2.0 / N[Power[N[(N[Sqrt[t$95$2], $MachinePrecision] * N[(k$95$m / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision], 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)
\\
\begin{array}{l}
t_2 := \frac{t_m}{\cos k_m}\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;k_m \leq 0.65:\\
\;\;\;\;\frac{2}{{\left(\sqrt{t_2} \cdot \frac{k_m}{\frac{\ell}{\sin k_m}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t_2 \cdot {\left(\sin k_m \cdot \frac{k_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if k < 0.650000000000000022Initial program 40.1%
associate-*l*40.1%
associate-*l/40.6%
associate--l+40.6%
Simplified40.6%
add-sqr-sqrt13.6%
pow213.6%
Applied egg-rr14.7%
associate-/l*15.2%
associate-*r/15.2%
Simplified15.2%
Taylor expanded in k around inf 36.4%
associate-/l*36.9%
Simplified36.9%
if 0.650000000000000022 < k Initial program 32.5%
associate-*l*32.5%
associate-*l/32.5%
associate--l+32.5%
Simplified32.5%
add-sqr-sqrt18.0%
pow218.0%
Applied egg-rr8.7%
associate-/l*8.7%
associate-*r/8.7%
Simplified8.7%
Taylor expanded in k around inf 45.9%
associate-/l*46.0%
Simplified46.0%
unpow-prod-down42.4%
associate-/r/42.3%
pow242.3%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
Final simplification52.2%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ t_m (cos k_m))))
(*
t_s
(if (<= k_m 14.0)
(/ 2.0 (pow (/ (* k_m (sqrt t_2)) (/ l (sin k_m))) 2.0))
(/ 2.0 (* t_2 (pow (* (sin k_m) (/ k_m l)) 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 = t_m / cos(k_m);
double tmp;
if (k_m <= 14.0) {
tmp = 2.0 / pow(((k_m * sqrt(t_2)) / (l / sin(k_m))), 2.0);
} else {
tmp = 2.0 / (t_2 * pow((sin(k_m) * (k_m / l)), 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) :: t_2
real(8) :: tmp
t_2 = t_m / cos(k_m)
if (k_m <= 14.0d0) then
tmp = 2.0d0 / (((k_m * sqrt(t_2)) / (l / sin(k_m))) ** 2.0d0)
else
tmp = 2.0d0 / (t_2 * ((sin(k_m) * (k_m / l)) ** 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 t_2 = t_m / Math.cos(k_m);
double tmp;
if (k_m <= 14.0) {
tmp = 2.0 / Math.pow(((k_m * Math.sqrt(t_2)) / (l / Math.sin(k_m))), 2.0);
} else {
tmp = 2.0 / (t_2 * Math.pow((Math.sin(k_m) * (k_m / l)), 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 = t_m / math.cos(k_m) tmp = 0 if k_m <= 14.0: tmp = 2.0 / math.pow(((k_m * math.sqrt(t_2)) / (l / math.sin(k_m))), 2.0) else: tmp = 2.0 / (t_2 * math.pow((math.sin(k_m) * (k_m / l)), 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 / cos(k_m)) tmp = 0.0 if (k_m <= 14.0) tmp = Float64(2.0 / (Float64(Float64(k_m * sqrt(t_2)) / Float64(l / sin(k_m))) ^ 2.0)); else tmp = Float64(2.0 / Float64(t_2 * (Float64(sin(k_m) * Float64(k_m / l)) ^ 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 / cos(k_m); tmp = 0.0; if (k_m <= 14.0) tmp = 2.0 / (((k_m * sqrt(t_2)) / (l / sin(k_m))) ^ 2.0); else tmp = 2.0 / (t_2 * ((sin(k_m) * (k_m / l)) ^ 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[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 14.0], N[(2.0 / N[Power[N[(N[(k$95$m * N[Sqrt[t$95$2], $MachinePrecision]), $MachinePrecision] / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(t$95$2 * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision], 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)
\\
\begin{array}{l}
t_2 := \frac{t_m}{\cos k_m}\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;k_m \leq 14:\\
\;\;\;\;\frac{2}{{\left(\frac{k_m \cdot \sqrt{t_2}}{\frac{\ell}{\sin k_m}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{t_2 \cdot {\left(\sin k_m \cdot \frac{k_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
\end{array}
if k < 14Initial program 40.1%
associate-*l*40.1%
associate-*l/40.6%
associate--l+40.6%
Simplified40.6%
add-sqr-sqrt13.6%
pow213.6%
Applied egg-rr14.7%
associate-/l*15.2%
associate-*r/15.2%
Simplified15.2%
Taylor expanded in k around inf 36.4%
associate-/l*36.9%
Simplified36.9%
associate-*l/36.9%
Applied egg-rr36.9%
if 14 < k Initial program 32.5%
associate-*l*32.5%
associate-*l/32.5%
associate--l+32.5%
Simplified32.5%
add-sqr-sqrt18.0%
pow218.0%
Applied egg-rr8.7%
associate-/l*8.7%
associate-*r/8.7%
Simplified8.7%
Taylor expanded in k around inf 45.9%
associate-/l*46.0%
Simplified46.0%
unpow-prod-down42.4%
associate-/r/42.3%
pow242.3%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
Final simplification52.2%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 0.055)
(*
2.0
(pow
(*
(/ l (* k_m (sqrt t_m)))
(+
(* k_m -0.08333333333333333)
(+ (* -0.03263888888888889 (pow k_m 3.0)) (/ 1.0 k_m))))
2.0))
(/ 2.0 (* (/ t_m (cos k_m)) (pow (* (sin k_m) (/ k_m l)) 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 <= 0.055) {
tmp = 2.0 * pow(((l / (k_m * sqrt(t_m))) * ((k_m * -0.08333333333333333) + ((-0.03263888888888889 * pow(k_m, 3.0)) + (1.0 / k_m)))), 2.0);
} else {
tmp = 2.0 / ((t_m / cos(k_m)) * pow((sin(k_m) * (k_m / l)), 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 <= 0.055d0) then
tmp = 2.0d0 * (((l / (k_m * sqrt(t_m))) * ((k_m * (-0.08333333333333333d0)) + (((-0.03263888888888889d0) * (k_m ** 3.0d0)) + (1.0d0 / k_m)))) ** 2.0d0)
else
tmp = 2.0d0 / ((t_m / cos(k_m)) * ((sin(k_m) * (k_m / l)) ** 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 <= 0.055) {
tmp = 2.0 * Math.pow(((l / (k_m * Math.sqrt(t_m))) * ((k_m * -0.08333333333333333) + ((-0.03263888888888889 * Math.pow(k_m, 3.0)) + (1.0 / k_m)))), 2.0);
} else {
tmp = 2.0 / ((t_m / Math.cos(k_m)) * Math.pow((Math.sin(k_m) * (k_m / l)), 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 <= 0.055: tmp = 2.0 * math.pow(((l / (k_m * math.sqrt(t_m))) * ((k_m * -0.08333333333333333) + ((-0.03263888888888889 * math.pow(k_m, 3.0)) + (1.0 / k_m)))), 2.0) else: tmp = 2.0 / ((t_m / math.cos(k_m)) * math.pow((math.sin(k_m) * (k_m / l)), 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 <= 0.055) tmp = Float64(2.0 * (Float64(Float64(l / Float64(k_m * sqrt(t_m))) * Float64(Float64(k_m * -0.08333333333333333) + Float64(Float64(-0.03263888888888889 * (k_m ^ 3.0)) + Float64(1.0 / k_m)))) ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(t_m / cos(k_m)) * (Float64(sin(k_m) * Float64(k_m / l)) ^ 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 <= 0.055) tmp = 2.0 * (((l / (k_m * sqrt(t_m))) * ((k_m * -0.08333333333333333) + ((-0.03263888888888889 * (k_m ^ 3.0)) + (1.0 / k_m)))) ^ 2.0); else tmp = 2.0 / ((t_m / cos(k_m)) * ((sin(k_m) * (k_m / l)) ^ 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, 0.055], N[(2.0 * N[Power[N[(N[(l / N[(k$95$m * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k$95$m * -0.08333333333333333), $MachinePrecision] + N[(N[(-0.03263888888888889 * N[Power[k$95$m, 3.0], $MachinePrecision]), $MachinePrecision] + N[(1.0 / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision], 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}\;k_m \leq 0.055:\\
\;\;\;\;2 \cdot {\left(\frac{\ell}{k_m \cdot \sqrt{t_m}} \cdot \left(k_m \cdot -0.08333333333333333 + \left(-0.03263888888888889 \cdot {k_m}^{3} + \frac{1}{k_m}\right)\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t_m}{\cos k_m} \cdot {\left(\sin k_m \cdot \frac{k_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
if k < 0.0550000000000000003Initial program 40.1%
associate-/r*40.0%
*-commutative40.0%
associate-*l*40.0%
associate-*l/40.6%
+-commutative40.6%
unpow240.6%
sqr-neg40.6%
distribute-frac-neg40.6%
distribute-frac-neg40.6%
unpow240.6%
associate--l+46.3%
metadata-eval46.3%
+-rgt-identity46.3%
unpow246.3%
distribute-frac-neg46.3%
distribute-frac-neg46.3%
Simplified46.3%
Taylor expanded in k around inf 77.2%
expm1-log1p-u45.0%
expm1-udef40.8%
times-frac41.0%
Applied egg-rr41.0%
expm1-def44.1%
expm1-log1p76.8%
times-frac77.2%
associate-*r*77.2%
times-frac78.7%
*-commutative78.7%
Simplified78.7%
expm1-log1p-u45.5%
expm1-udef41.3%
Applied egg-rr25.4%
expm1-def26.4%
expm1-log1p26.9%
Simplified26.9%
Taylor expanded in k around 0 19.8%
if 0.0550000000000000003 < k Initial program 32.5%
associate-*l*32.5%
associate-*l/32.5%
associate--l+32.5%
Simplified32.5%
add-sqr-sqrt18.0%
pow218.0%
Applied egg-rr8.7%
associate-/l*8.7%
associate-*r/8.7%
Simplified8.7%
Taylor expanded in k around inf 45.9%
associate-/l*46.0%
Simplified46.0%
unpow-prod-down42.4%
associate-/r/42.3%
pow242.3%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
Final simplification40.3%
k_m = (fabs.f64 k)
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 0.014)
(*
2.0
(pow
(* (/ l (* k_m (sqrt t_m))) (+ (* k_m -0.08333333333333333) (/ 1.0 k_m)))
2.0))
(/ 2.0 (* (/ t_m (cos k_m)) (pow (* (sin k_m) (/ k_m l)) 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 <= 0.014) {
tmp = 2.0 * pow(((l / (k_m * sqrt(t_m))) * ((k_m * -0.08333333333333333) + (1.0 / k_m))), 2.0);
} else {
tmp = 2.0 / ((t_m / cos(k_m)) * pow((sin(k_m) * (k_m / l)), 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 <= 0.014d0) then
tmp = 2.0d0 * (((l / (k_m * sqrt(t_m))) * ((k_m * (-0.08333333333333333d0)) + (1.0d0 / k_m))) ** 2.0d0)
else
tmp = 2.0d0 / ((t_m / cos(k_m)) * ((sin(k_m) * (k_m / l)) ** 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 <= 0.014) {
tmp = 2.0 * Math.pow(((l / (k_m * Math.sqrt(t_m))) * ((k_m * -0.08333333333333333) + (1.0 / k_m))), 2.0);
} else {
tmp = 2.0 / ((t_m / Math.cos(k_m)) * Math.pow((Math.sin(k_m) * (k_m / l)), 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 <= 0.014: tmp = 2.0 * math.pow(((l / (k_m * math.sqrt(t_m))) * ((k_m * -0.08333333333333333) + (1.0 / k_m))), 2.0) else: tmp = 2.0 / ((t_m / math.cos(k_m)) * math.pow((math.sin(k_m) * (k_m / l)), 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 <= 0.014) tmp = Float64(2.0 * (Float64(Float64(l / Float64(k_m * sqrt(t_m))) * Float64(Float64(k_m * -0.08333333333333333) + Float64(1.0 / k_m))) ^ 2.0)); else tmp = Float64(2.0 / Float64(Float64(t_m / cos(k_m)) * (Float64(sin(k_m) * Float64(k_m / l)) ^ 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 <= 0.014) tmp = 2.0 * (((l / (k_m * sqrt(t_m))) * ((k_m * -0.08333333333333333) + (1.0 / k_m))) ^ 2.0); else tmp = 2.0 / ((t_m / cos(k_m)) * ((sin(k_m) * (k_m / l)) ^ 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, 0.014], N[(2.0 * N[Power[N[(N[(l / N[(k$95$m * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(k$95$m * -0.08333333333333333), $MachinePrecision] + N[(1.0 / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision], 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}\;k_m \leq 0.014:\\
\;\;\;\;2 \cdot {\left(\frac{\ell}{k_m \cdot \sqrt{t_m}} \cdot \left(k_m \cdot -0.08333333333333333 + \frac{1}{k_m}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t_m}{\cos k_m} \cdot {\left(\sin k_m \cdot \frac{k_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
if k < 0.0140000000000000003Initial program 40.1%
associate-/r*40.0%
*-commutative40.0%
associate-*l*40.0%
associate-*l/40.6%
+-commutative40.6%
unpow240.6%
sqr-neg40.6%
distribute-frac-neg40.6%
distribute-frac-neg40.6%
unpow240.6%
associate--l+46.3%
metadata-eval46.3%
+-rgt-identity46.3%
unpow246.3%
distribute-frac-neg46.3%
distribute-frac-neg46.3%
Simplified46.3%
Taylor expanded in k around inf 77.2%
expm1-log1p-u45.0%
expm1-udef40.8%
times-frac41.0%
Applied egg-rr41.0%
expm1-def44.1%
expm1-log1p76.8%
times-frac77.2%
associate-*r*77.2%
times-frac78.7%
*-commutative78.7%
Simplified78.7%
expm1-log1p-u45.5%
expm1-udef41.3%
Applied egg-rr25.4%
expm1-def26.4%
expm1-log1p26.9%
Simplified26.9%
Taylor expanded in k around 0 28.1%
if 0.0140000000000000003 < k Initial program 32.5%
associate-*l*32.5%
associate-*l/32.5%
associate--l+32.5%
Simplified32.5%
add-sqr-sqrt18.0%
pow218.0%
Applied egg-rr8.7%
associate-/l*8.7%
associate-*r/8.7%
Simplified8.7%
Taylor expanded in k around inf 45.9%
associate-/l*46.0%
Simplified46.0%
unpow-prod-down42.4%
associate-/r/42.3%
pow242.3%
add-sqr-sqrt87.0%
Applied egg-rr87.0%
Final simplification46.1%
k_m = (fabs.f64 k) t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* 2.0 (pow (* (sin k_m) (* (sqrt t_m) (/ k_m l))) -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) {
return t_s * (2.0 * pow((sin(k_m) * (sqrt(t_m) * (k_m / l))), -2.0));
}
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 * (2.0d0 * ((sin(k_m) * (sqrt(t_m) * (k_m / l))) ** (-2.0d0)))
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 * (2.0 * Math.pow((Math.sin(k_m) * (Math.sqrt(t_m) * (k_m / l))), -2.0));
}
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 * (2.0 * math.pow((math.sin(k_m) * (math.sqrt(t_m) * (k_m / l))), -2.0))
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(2.0 * (Float64(sin(k_m) * Float64(sqrt(t_m) * Float64(k_m / l))) ^ -2.0))) 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 * (2.0 * ((sin(k_m) * (sqrt(t_m) * (k_m / l))) ^ -2.0)); 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[(2.0 * N[Power[N[(N[Sin[k$95$m], $MachinePrecision] * N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(k$95$m / l), $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 \left(2 \cdot {\left(\sin k_m \cdot \left(\sqrt{t_m} \cdot \frac{k_m}{\ell}\right)\right)}^{-2}\right)
\end{array}
Initial program 37.8%
associate-*l*37.8%
associate-*l/38.1%
associate--l+38.1%
Simplified38.1%
add-sqr-sqrt14.9%
pow214.9%
Applied egg-rr12.8%
associate-/l*13.2%
associate-*r/13.2%
Simplified13.2%
Taylor expanded in k around inf 39.3%
associate-/l*39.7%
Simplified39.7%
div-inv39.7%
pow-flip39.7%
associate-/r/39.7%
metadata-eval39.7%
Applied egg-rr39.7%
*-commutative39.7%
associate-*l*39.7%
Simplified39.7%
Taylor expanded in k around 0 30.8%
Final simplification30.8%
k_m = (fabs.f64 k) t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* 2.0 (/ (* (cos k_m) (* l l)) (* 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 * (2.0 * ((cos(k_m) * (l * l)) / (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 * (2.0d0 * ((cos(k_m) * (l * l)) / (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 * (2.0 * ((Math.cos(k_m) * (l * l)) / (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 * (2.0 * ((math.cos(k_m) * (l * l)) / (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(2.0 * Float64(Float64(cos(k_m) * Float64(l * l)) / 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 * (2.0 * ((cos(k_m) * (l * l)) / (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[(2.0 * N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision] / 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(2 \cdot \frac{\cos k_m \cdot \left(\ell \cdot \ell\right)}{t_m \cdot {k_m}^{4}}\right)
\end{array}
Initial program 37.8%
associate-/r*37.8%
*-commutative37.8%
associate-*l*37.7%
associate-*l/38.1%
+-commutative38.1%
unpow238.1%
sqr-neg38.1%
distribute-frac-neg38.1%
distribute-frac-neg38.1%
unpow238.1%
associate--l+44.5%
metadata-eval44.5%
+-rgt-identity44.5%
unpow244.5%
distribute-frac-neg44.5%
distribute-frac-neg44.5%
Simplified44.5%
Taylor expanded in k around inf 75.9%
Taylor expanded in k around 0 65.3%
pow261.6%
Applied egg-rr65.3%
Final simplification65.3%
k_m = (fabs.f64 k) t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* 2.0 (pow (* (/ l (* k_m (sqrt t_m))) (/ 1.0 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) {
return t_s * (2.0 * pow(((l / (k_m * sqrt(t_m))) * (1.0 / k_m)), 2.0));
}
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 * (2.0d0 * (((l / (k_m * sqrt(t_m))) * (1.0d0 / k_m)) ** 2.0d0))
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 * (2.0 * Math.pow(((l / (k_m * Math.sqrt(t_m))) * (1.0 / k_m)), 2.0));
}
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 * (2.0 * math.pow(((l / (k_m * math.sqrt(t_m))) * (1.0 / k_m)), 2.0))
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(2.0 * (Float64(Float64(l / Float64(k_m * sqrt(t_m))) * Float64(1.0 / k_m)) ^ 2.0))) 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 * (2.0 * (((l / (k_m * sqrt(t_m))) * (1.0 / k_m)) ^ 2.0)); 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[(2.0 * N[Power[N[(N[(l / N[(k$95$m * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / k$95$m), $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 \left(2 \cdot {\left(\frac{\ell}{k_m \cdot \sqrt{t_m}} \cdot \frac{1}{k_m}\right)}^{2}\right)
\end{array}
Initial program 37.8%
associate-/r*37.8%
*-commutative37.8%
associate-*l*37.7%
associate-*l/38.1%
+-commutative38.1%
unpow238.1%
sqr-neg38.1%
distribute-frac-neg38.1%
distribute-frac-neg38.1%
unpow238.1%
associate--l+44.5%
metadata-eval44.5%
+-rgt-identity44.5%
unpow244.5%
distribute-frac-neg44.5%
distribute-frac-neg44.5%
Simplified44.5%
Taylor expanded in k around inf 75.9%
expm1-log1p-u50.3%
expm1-udef45.4%
times-frac45.5%
Applied egg-rr45.5%
expm1-def49.0%
expm1-log1p74.9%
times-frac75.9%
associate-*r*75.9%
times-frac76.9%
*-commutative76.9%
Simplified76.9%
expm1-log1p-u50.6%
expm1-udef45.7%
Applied egg-rr23.8%
expm1-def25.7%
expm1-log1p26.1%
Simplified26.1%
Taylor expanded in k around 0 29.7%
Final simplification29.7%
k_m = (fabs.f64 k) t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* 2.0 (/ (* (pow l 2.0) (pow k_m -4.0)) t_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) {
return t_s * (2.0 * ((pow(l, 2.0) * pow(k_m, -4.0)) / t_m));
}
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 * (2.0d0 * (((l ** 2.0d0) * (k_m ** (-4.0d0))) / t_m))
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 * (2.0 * ((Math.pow(l, 2.0) * Math.pow(k_m, -4.0)) / t_m));
}
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 * (2.0 * ((math.pow(l, 2.0) * math.pow(k_m, -4.0)) / t_m))
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(2.0 * Float64(Float64((l ^ 2.0) * (k_m ^ -4.0)) / t_m))) 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 * (2.0 * (((l ^ 2.0) * (k_m ^ -4.0)) / t_m)); 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[(2.0 * N[(N[(N[Power[l, 2.0], $MachinePrecision] * N[Power[k$95$m, -4.0], $MachinePrecision]), $MachinePrecision] / t$95$m), $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(2 \cdot \frac{{\ell}^{2} \cdot {k_m}^{-4}}{t_m}\right)
\end{array}
Initial program 37.8%
associate-/r*37.8%
*-commutative37.8%
associate-*l*37.7%
associate-*l/38.1%
+-commutative38.1%
unpow238.1%
sqr-neg38.1%
distribute-frac-neg38.1%
distribute-frac-neg38.1%
unpow238.1%
associate--l+44.5%
metadata-eval44.5%
+-rgt-identity44.5%
unpow244.5%
distribute-frac-neg44.5%
distribute-frac-neg44.5%
Simplified44.5%
Taylor expanded in k around 0 63.2%
*-commutative63.2%
associate-/r*61.2%
Simplified61.2%
div-inv61.2%
pow-flip61.6%
metadata-eval61.6%
Applied egg-rr61.6%
associate-*l/64.0%
Applied egg-rr64.0%
Final simplification64.0%
k_m = (fabs.f64 k) t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* 2.0 (* (pow k_m -4.0) (/ (* l l) t_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) {
return t_s * (2.0 * (pow(k_m, -4.0) * ((l * l) / t_m)));
}
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 * (2.0d0 * ((k_m ** (-4.0d0)) * ((l * l) / t_m)))
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 * (2.0 * (Math.pow(k_m, -4.0) * ((l * l) / t_m)));
}
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 * (2.0 * (math.pow(k_m, -4.0) * ((l * l) / t_m)))
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(2.0 * Float64((k_m ^ -4.0) * Float64(Float64(l * l) / t_m)))) 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 * (2.0 * ((k_m ^ -4.0) * ((l * l) / t_m))); 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[(2.0 * N[(N[Power[k$95$m, -4.0], $MachinePrecision] * N[(N[(l * l), $MachinePrecision] / t$95$m), $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(2 \cdot \left({k_m}^{-4} \cdot \frac{\ell \cdot \ell}{t_m}\right)\right)
\end{array}
Initial program 37.8%
associate-/r*37.8%
*-commutative37.8%
associate-*l*37.7%
associate-*l/38.1%
+-commutative38.1%
unpow238.1%
sqr-neg38.1%
distribute-frac-neg38.1%
distribute-frac-neg38.1%
unpow238.1%
associate--l+44.5%
metadata-eval44.5%
+-rgt-identity44.5%
unpow244.5%
distribute-frac-neg44.5%
distribute-frac-neg44.5%
Simplified44.5%
Taylor expanded in k around 0 63.2%
*-commutative63.2%
associate-/r*61.2%
Simplified61.2%
div-inv61.2%
pow-flip61.6%
metadata-eval61.6%
Applied egg-rr61.6%
pow261.6%
Applied egg-rr61.6%
Final simplification61.6%
herbie shell --seed 2023333
(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))))