
(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 11 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 2.85e-18)
(*
2.0
(pow (/ (/ (* (/ l k_m) (sqrt (cos k_m))) (sin k_m)) (sqrt t_m)) 2.0))
(*
2.0
(/ (/ (* (cos k_m) (* (/ l k_m) (/ l k_m))) (pow (sin k_m) 2.0)) 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) {
double tmp;
if (k_m <= 2.85e-18) {
tmp = 2.0 * pow(((((l / k_m) * sqrt(cos(k_m))) / sin(k_m)) / sqrt(t_m)), 2.0);
} else {
tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / pow(sin(k_m), 2.0)) / t_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 (k_m <= 2.85d-18) then
tmp = 2.0d0 * (((((l / k_m) * sqrt(cos(k_m))) / sin(k_m)) / sqrt(t_m)) ** 2.0d0)
else
tmp = 2.0d0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ** 2.0d0)) / t_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 (k_m <= 2.85e-18) {
tmp = 2.0 * Math.pow(((((l / k_m) * Math.sqrt(Math.cos(k_m))) / Math.sin(k_m)) / Math.sqrt(t_m)), 2.0);
} else {
tmp = 2.0 * (((Math.cos(k_m) * ((l / k_m) * (l / k_m))) / Math.pow(Math.sin(k_m), 2.0)) / t_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 k_m <= 2.85e-18: tmp = 2.0 * math.pow(((((l / k_m) * math.sqrt(math.cos(k_m))) / math.sin(k_m)) / math.sqrt(t_m)), 2.0) else: tmp = 2.0 * (((math.cos(k_m) * ((l / k_m) * (l / k_m))) / math.pow(math.sin(k_m), 2.0)) / t_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 (k_m <= 2.85e-18) tmp = Float64(2.0 * (Float64(Float64(Float64(Float64(l / k_m) * sqrt(cos(k_m))) / sin(k_m)) / sqrt(t_m)) ^ 2.0)); else tmp = Float64(2.0 * Float64(Float64(Float64(cos(k_m) * Float64(Float64(l / k_m) * Float64(l / k_m))) / (sin(k_m) ^ 2.0)) / t_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 (k_m <= 2.85e-18) tmp = 2.0 * (((((l / k_m) * sqrt(cos(k_m))) / sin(k_m)) / sqrt(t_m)) ^ 2.0); else tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ^ 2.0)) / t_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[k$95$m, 2.85e-18], N[(2.0 * N[Power[N[(N[(N[(N[(l / k$95$m), $MachinePrecision] * N[Sqrt[N[Cos[k$95$m], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision] / N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $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 \begin{array}{l}
\mathbf{if}\;k_m \leq 2.85 \cdot 10^{-18}:\\
\;\;\;\;2 \cdot {\left(\frac{\frac{\frac{\ell}{k_m} \cdot \sqrt{\cos k_m}}{\sin k_m}}{\sqrt{t_m}}\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\frac{\cos k_m \cdot \left(\frac{\ell}{k_m} \cdot \frac{\ell}{k_m}\right)}{{\sin k_m}^{2}}}{t_m}\\
\end{array}
\end{array}
if k < 2.84999999999999986e-18Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/37.4%
+-commutative37.4%
unpow237.4%
sqr-neg37.4%
distribute-frac-neg37.4%
distribute-frac-neg37.4%
unpow237.4%
associate--l+45.2%
metadata-eval45.2%
+-rgt-identity45.2%
unpow245.2%
distribute-frac-neg45.2%
distribute-frac-neg45.2%
Simplified45.2%
Taylor expanded in k around inf 70.1%
times-frac70.6%
Simplified70.6%
associate-*r/71.0%
div-inv71.0%
pow-flip71.0%
metadata-eval71.0%
Applied egg-rr71.0%
Taylor expanded in l around 0 70.1%
times-frac70.6%
associate-*r/71.0%
unpow271.0%
unpow271.0%
times-frac89.7%
*-rgt-identity89.7%
associate-*r/89.7%
*-rgt-identity89.7%
associate-*r/89.7%
unpow-189.7%
metadata-eval89.7%
unpow-189.7%
metadata-eval89.7%
swap-sqr71.0%
unpow271.0%
sqr-pow71.0%
*-commutative71.0%
Simplified91.6%
add-sqr-sqrt47.7%
pow247.7%
sqrt-div32.1%
sqrt-div33.0%
*-commutative33.0%
sqrt-prod28.9%
unpow228.9%
sqrt-prod14.9%
add-sqr-sqrt30.4%
unpow230.4%
sqrt-prod24.6%
add-sqr-sqrt31.3%
Applied egg-rr31.3%
if 2.84999999999999986e-18 < k Initial program 22.9%
associate-/r*22.9%
*-commutative22.9%
associate-*l*22.9%
associate-*l/22.9%
+-commutative22.9%
unpow222.9%
sqr-neg22.9%
distribute-frac-neg22.9%
distribute-frac-neg22.9%
unpow222.9%
associate--l+34.2%
metadata-eval34.2%
+-rgt-identity34.2%
unpow234.2%
distribute-frac-neg34.2%
distribute-frac-neg34.2%
Simplified34.2%
Taylor expanded in k around inf 67.5%
times-frac68.6%
Simplified68.6%
associate-*r/68.6%
div-inv68.6%
pow-flip68.6%
metadata-eval68.6%
Applied egg-rr68.6%
Taylor expanded in l around 0 67.5%
times-frac68.6%
associate-*r/68.6%
unpow268.6%
unpow268.6%
times-frac90.7%
*-rgt-identity90.7%
associate-*r/90.8%
*-rgt-identity90.8%
associate-*r/90.8%
unpow-190.8%
metadata-eval90.8%
unpow-190.8%
metadata-eval90.8%
swap-sqr68.6%
unpow268.6%
sqr-pow68.6%
*-commutative68.6%
Simplified90.8%
unpow290.8%
Applied egg-rr90.8%
Final simplification45.7%
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
(if (<= k_m 8.6e-18)
(*
2.0
(pow (* (/ (sqrt (cos k_m)) (sqrt t_m)) (/ (/ l k_m) (sin k_m))) 2.0))
(*
2.0
(/ (/ (* (cos k_m) (* (/ l k_m) (/ l k_m))) (pow (sin k_m) 2.0)) 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) {
double tmp;
if (k_m <= 8.6e-18) {
tmp = 2.0 * pow(((sqrt(cos(k_m)) / sqrt(t_m)) * ((l / k_m) / sin(k_m))), 2.0);
} else {
tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / pow(sin(k_m), 2.0)) / t_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 (k_m <= 8.6d-18) then
tmp = 2.0d0 * (((sqrt(cos(k_m)) / sqrt(t_m)) * ((l / k_m) / sin(k_m))) ** 2.0d0)
else
tmp = 2.0d0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ** 2.0d0)) / t_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 (k_m <= 8.6e-18) {
tmp = 2.0 * Math.pow(((Math.sqrt(Math.cos(k_m)) / Math.sqrt(t_m)) * ((l / k_m) / Math.sin(k_m))), 2.0);
} else {
tmp = 2.0 * (((Math.cos(k_m) * ((l / k_m) * (l / k_m))) / Math.pow(Math.sin(k_m), 2.0)) / t_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 k_m <= 8.6e-18: tmp = 2.0 * math.pow(((math.sqrt(math.cos(k_m)) / math.sqrt(t_m)) * ((l / k_m) / math.sin(k_m))), 2.0) else: tmp = 2.0 * (((math.cos(k_m) * ((l / k_m) * (l / k_m))) / math.pow(math.sin(k_m), 2.0)) / t_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 (k_m <= 8.6e-18) tmp = Float64(2.0 * (Float64(Float64(sqrt(cos(k_m)) / sqrt(t_m)) * Float64(Float64(l / k_m) / sin(k_m))) ^ 2.0)); else tmp = Float64(2.0 * Float64(Float64(Float64(cos(k_m) * Float64(Float64(l / k_m) * Float64(l / k_m))) / (sin(k_m) ^ 2.0)) / t_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 (k_m <= 8.6e-18) tmp = 2.0 * (((sqrt(cos(k_m)) / sqrt(t_m)) * ((l / k_m) / sin(k_m))) ^ 2.0); else tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ^ 2.0)) / t_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[k$95$m, 8.6e-18], N[(2.0 * N[Power[N[(N[(N[Sqrt[N[Cos[k$95$m], $MachinePrecision]], $MachinePrecision] / N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $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 \begin{array}{l}
\mathbf{if}\;k_m \leq 8.6 \cdot 10^{-18}:\\
\;\;\;\;2 \cdot {\left(\frac{\sqrt{\cos k_m}}{\sqrt{t_m}} \cdot \frac{\frac{\ell}{k_m}}{\sin k_m}\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\frac{\cos k_m \cdot \left(\frac{\ell}{k_m} \cdot \frac{\ell}{k_m}\right)}{{\sin k_m}^{2}}}{t_m}\\
\end{array}
\end{array}
if k < 8.6000000000000005e-18Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/37.4%
+-commutative37.4%
unpow237.4%
sqr-neg37.4%
distribute-frac-neg37.4%
distribute-frac-neg37.4%
unpow237.4%
associate--l+45.2%
metadata-eval45.2%
+-rgt-identity45.2%
unpow245.2%
distribute-frac-neg45.2%
distribute-frac-neg45.2%
Simplified45.2%
Taylor expanded in k around inf 70.1%
times-frac70.6%
Simplified70.6%
associate-*r/71.0%
div-inv71.0%
pow-flip71.0%
metadata-eval71.0%
Applied egg-rr71.0%
Taylor expanded in l around 0 70.1%
times-frac70.6%
associate-*r/71.0%
unpow271.0%
unpow271.0%
times-frac89.7%
*-rgt-identity89.7%
associate-*r/89.7%
*-rgt-identity89.7%
associate-*r/89.7%
unpow-189.7%
metadata-eval89.7%
unpow-189.7%
metadata-eval89.7%
swap-sqr71.0%
unpow271.0%
sqr-pow71.0%
*-commutative71.0%
Simplified91.6%
add-sqr-sqrt47.7%
sqrt-div32.1%
sqrt-div32.2%
*-commutative32.2%
sqrt-prod28.0%
unpow228.0%
sqrt-prod13.9%
add-sqr-sqrt15.6%
unpow215.6%
sqrt-prod10.9%
add-sqr-sqrt15.1%
sqrt-div15.1%
Applied egg-rr31.3%
unpow231.3%
associate-/l/31.3%
*-commutative31.3%
times-frac31.3%
Simplified31.3%
if 8.6000000000000005e-18 < k Initial program 22.9%
associate-/r*22.9%
*-commutative22.9%
associate-*l*22.9%
associate-*l/22.9%
+-commutative22.9%
unpow222.9%
sqr-neg22.9%
distribute-frac-neg22.9%
distribute-frac-neg22.9%
unpow222.9%
associate--l+34.2%
metadata-eval34.2%
+-rgt-identity34.2%
unpow234.2%
distribute-frac-neg34.2%
distribute-frac-neg34.2%
Simplified34.2%
Taylor expanded in k around inf 67.5%
times-frac68.6%
Simplified68.6%
associate-*r/68.6%
div-inv68.6%
pow-flip68.6%
metadata-eval68.6%
Applied egg-rr68.6%
Taylor expanded in l around 0 67.5%
times-frac68.6%
associate-*r/68.6%
unpow268.6%
unpow268.6%
times-frac90.7%
*-rgt-identity90.7%
associate-*r/90.8%
*-rgt-identity90.8%
associate-*r/90.8%
unpow-190.8%
metadata-eval90.8%
unpow-190.8%
metadata-eval90.8%
swap-sqr68.6%
unpow268.6%
sqr-pow68.6%
*-commutative68.6%
Simplified90.8%
unpow290.8%
Applied egg-rr90.8%
Final simplification45.7%
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
(if (<= k_m 0.235)
(/ 2.0 (pow (* (/ k_m (/ l (sin k_m))) (sqrt (/ t_m (cos k_m)))) 2.0))
(*
2.0
(/ (/ (* (cos k_m) (* (/ l k_m) (/ l k_m))) (pow (sin k_m) 2.0)) 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) {
double tmp;
if (k_m <= 0.235) {
tmp = 2.0 / pow(((k_m / (l / sin(k_m))) * sqrt((t_m / cos(k_m)))), 2.0);
} else {
tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / pow(sin(k_m), 2.0)) / t_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 (k_m <= 0.235d0) then
tmp = 2.0d0 / (((k_m / (l / sin(k_m))) * sqrt((t_m / cos(k_m)))) ** 2.0d0)
else
tmp = 2.0d0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ** 2.0d0)) / t_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 (k_m <= 0.235) {
tmp = 2.0 / Math.pow(((k_m / (l / Math.sin(k_m))) * Math.sqrt((t_m / Math.cos(k_m)))), 2.0);
} else {
tmp = 2.0 * (((Math.cos(k_m) * ((l / k_m) * (l / k_m))) / Math.pow(Math.sin(k_m), 2.0)) / t_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 k_m <= 0.235: tmp = 2.0 / math.pow(((k_m / (l / math.sin(k_m))) * math.sqrt((t_m / math.cos(k_m)))), 2.0) else: tmp = 2.0 * (((math.cos(k_m) * ((l / k_m) * (l / k_m))) / math.pow(math.sin(k_m), 2.0)) / t_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 (k_m <= 0.235) tmp = Float64(2.0 / (Float64(Float64(k_m / Float64(l / sin(k_m))) * sqrt(Float64(t_m / cos(k_m)))) ^ 2.0)); else tmp = Float64(2.0 * Float64(Float64(Float64(cos(k_m) * Float64(Float64(l / k_m) * Float64(l / k_m))) / (sin(k_m) ^ 2.0)) / t_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 (k_m <= 0.235) tmp = 2.0 / (((k_m / (l / sin(k_m))) * sqrt((t_m / cos(k_m)))) ^ 2.0); else tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ^ 2.0)) / t_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[k$95$m, 0.235], N[(2.0 / N[Power[N[(N[(k$95$m / N[(l / N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $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 \begin{array}{l}
\mathbf{if}\;k_m \leq 0.235:\\
\;\;\;\;\frac{2}{{\left(\frac{k_m}{\frac{\ell}{\sin k_m}} \cdot \sqrt{\frac{t_m}{\cos k_m}}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\frac{\cos k_m \cdot \left(\frac{\ell}{k_m} \cdot \frac{\ell}{k_m}\right)}{{\sin k_m}^{2}}}{t_m}\\
\end{array}
\end{array}
if k < 0.23499999999999999Initial program 36.4%
Applied egg-rr11.7%
mul0-rgt24.8%
+-rgt-identity24.8%
Simplified24.8%
Taylor expanded in k around inf 40.5%
associate-/l*41.4%
Simplified41.4%
if 0.23499999999999999 < k Initial program 24.1%
associate-/r*24.0%
*-commutative24.0%
associate-*l*24.0%
associate-*l/24.0%
+-commutative24.0%
unpow224.0%
sqr-neg24.0%
distribute-frac-neg24.0%
distribute-frac-neg24.0%
unpow224.0%
associate--l+36.0%
metadata-eval36.0%
+-rgt-identity36.0%
unpow236.0%
distribute-frac-neg36.0%
distribute-frac-neg36.0%
Simplified36.0%
Taylor expanded in k around inf 65.9%
times-frac67.0%
Simplified67.0%
associate-*r/67.0%
div-inv67.0%
pow-flip67.0%
metadata-eval67.0%
Applied egg-rr67.0%
Taylor expanded in l around 0 65.9%
times-frac67.0%
associate-*r/67.0%
unpow267.0%
unpow267.0%
times-frac90.3%
*-rgt-identity90.3%
associate-*r/90.4%
*-rgt-identity90.4%
associate-*r/90.4%
unpow-190.4%
metadata-eval90.4%
unpow-190.4%
metadata-eval90.4%
swap-sqr67.1%
unpow267.1%
sqr-pow67.0%
*-commutative67.0%
Simplified90.3%
unpow290.3%
Applied egg-rr90.3%
Final simplification52.7%
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
(if (<= k_m 1.4e-14)
(* 2.0 (pow (/ (* l (pow k_m -2.0)) (sqrt t_m)) 2.0))
(*
2.0
(/ (/ (* (cos k_m) (* (/ l k_m) (/ l k_m))) (pow (sin k_m) 2.0)) 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) {
double tmp;
if (k_m <= 1.4e-14) {
tmp = 2.0 * pow(((l * pow(k_m, -2.0)) / sqrt(t_m)), 2.0);
} else {
tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / pow(sin(k_m), 2.0)) / t_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 (k_m <= 1.4d-14) then
tmp = 2.0d0 * (((l * (k_m ** (-2.0d0))) / sqrt(t_m)) ** 2.0d0)
else
tmp = 2.0d0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ** 2.0d0)) / t_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 (k_m <= 1.4e-14) {
tmp = 2.0 * Math.pow(((l * Math.pow(k_m, -2.0)) / Math.sqrt(t_m)), 2.0);
} else {
tmp = 2.0 * (((Math.cos(k_m) * ((l / k_m) * (l / k_m))) / Math.pow(Math.sin(k_m), 2.0)) / t_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 k_m <= 1.4e-14: tmp = 2.0 * math.pow(((l * math.pow(k_m, -2.0)) / math.sqrt(t_m)), 2.0) else: tmp = 2.0 * (((math.cos(k_m) * ((l / k_m) * (l / k_m))) / math.pow(math.sin(k_m), 2.0)) / t_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 (k_m <= 1.4e-14) tmp = Float64(2.0 * (Float64(Float64(l * (k_m ^ -2.0)) / sqrt(t_m)) ^ 2.0)); else tmp = Float64(2.0 * Float64(Float64(Float64(cos(k_m) * Float64(Float64(l / k_m) * Float64(l / k_m))) / (sin(k_m) ^ 2.0)) / t_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 (k_m <= 1.4e-14) tmp = 2.0 * (((l * (k_m ^ -2.0)) / sqrt(t_m)) ^ 2.0); else tmp = 2.0 * (((cos(k_m) * ((l / k_m) * (l / k_m))) / (sin(k_m) ^ 2.0)) / t_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[k$95$m, 1.4e-14], N[(2.0 * N[Power[N[(N[(l * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[(N[Cos[k$95$m], $MachinePrecision] * N[(N[(l / k$95$m), $MachinePrecision] * N[(l / k$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[Sin[k$95$m], $MachinePrecision], 2.0], $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 \begin{array}{l}
\mathbf{if}\;k_m \leq 1.4 \cdot 10^{-14}:\\
\;\;\;\;2 \cdot {\left(\frac{\ell \cdot {k_m}^{-2}}{\sqrt{t_m}}\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \frac{\frac{\cos k_m \cdot \left(\frac{\ell}{k_m} \cdot \frac{\ell}{k_m}\right)}{{\sin k_m}^{2}}}{t_m}\\
\end{array}
\end{array}
if k < 1.4e-14Initial program 36.8%
associate-/r*36.7%
*-commutative36.7%
associate-*l*36.7%
associate-*l/37.2%
+-commutative37.2%
unpow237.2%
sqr-neg37.2%
distribute-frac-neg37.2%
distribute-frac-neg37.2%
unpow237.2%
associate--l+44.9%
metadata-eval44.9%
+-rgt-identity44.9%
unpow244.9%
distribute-frac-neg44.9%
distribute-frac-neg44.9%
Simplified44.9%
Taylor expanded in k around 0 60.7%
*-commutative60.7%
associate-/r*57.4%
Simplified57.4%
div-inv57.4%
pow-flip57.4%
metadata-eval57.4%
Applied egg-rr57.4%
add-sqr-sqrt32.1%
pow232.1%
*-commutative32.1%
sqrt-prod29.0%
sqrt-pow131.5%
metadata-eval31.5%
sqrt-div24.0%
unpow224.0%
sqrt-prod16.6%
add-sqr-sqrt31.1%
Applied egg-rr31.1%
associate-*r/30.7%
Simplified30.7%
if 1.4e-14 < k Initial program 23.3%
associate-/r*23.3%
*-commutative23.3%
associate-*l*23.2%
associate-*l/23.2%
+-commutative23.2%
unpow223.2%
sqr-neg23.2%
distribute-frac-neg23.2%
distribute-frac-neg23.2%
unpow223.2%
associate--l+34.8%
metadata-eval34.8%
+-rgt-identity34.8%
unpow234.8%
distribute-frac-neg34.8%
distribute-frac-neg34.8%
Simplified34.8%
Taylor expanded in k around inf 67.0%
times-frac68.1%
Simplified68.1%
associate-*r/68.1%
div-inv68.0%
pow-flip68.1%
metadata-eval68.1%
Applied egg-rr68.1%
Taylor expanded in l around 0 67.0%
times-frac68.1%
associate-*r/68.1%
unpow268.1%
unpow268.1%
times-frac90.6%
*-rgt-identity90.6%
associate-*r/90.7%
*-rgt-identity90.7%
associate-*r/90.7%
unpow-190.7%
metadata-eval90.7%
unpow-190.7%
metadata-eval90.7%
swap-sqr68.2%
unpow268.2%
sqr-pow68.1%
*-commutative68.1%
Simplified90.6%
unpow290.6%
Applied egg-rr90.6%
Final simplification45.0%
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
(if (<= k_m 1.8e-144)
(/ (* t_m (/ 2.0 (pow (/ t_m (/ l (pow k_m 1.5))) 2.0))) k_m)
(* 2.0 (pow (* (pow k_m -2.0) (/ l (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 <= 1.8e-144) {
tmp = (t_m * (2.0 / pow((t_m / (l / pow(k_m, 1.5))), 2.0))) / k_m;
} else {
tmp = 2.0 * pow((pow(k_m, -2.0) * (l / 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 <= 1.8d-144) then
tmp = (t_m * (2.0d0 / ((t_m / (l / (k_m ** 1.5d0))) ** 2.0d0))) / k_m
else
tmp = 2.0d0 * (((k_m ** (-2.0d0)) * (l / 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 <= 1.8e-144) {
tmp = (t_m * (2.0 / Math.pow((t_m / (l / Math.pow(k_m, 1.5))), 2.0))) / k_m;
} else {
tmp = 2.0 * Math.pow((Math.pow(k_m, -2.0) * (l / 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 <= 1.8e-144: tmp = (t_m * (2.0 / math.pow((t_m / (l / math.pow(k_m, 1.5))), 2.0))) / k_m else: tmp = 2.0 * math.pow((math.pow(k_m, -2.0) * (l / 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 <= 1.8e-144) tmp = Float64(Float64(t_m * Float64(2.0 / (Float64(t_m / Float64(l / (k_m ^ 1.5))) ^ 2.0))) / k_m); else tmp = Float64(2.0 * (Float64((k_m ^ -2.0) * Float64(l / 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 <= 1.8e-144) tmp = (t_m * (2.0 / ((t_m / (l / (k_m ^ 1.5))) ^ 2.0))) / k_m; else tmp = 2.0 * (((k_m ^ -2.0) * (l / 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, 1.8e-144], N[(N[(t$95$m * N[(2.0 / N[Power[N[(t$95$m / N[(l / N[Power[k$95$m, 1.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k$95$m), $MachinePrecision], N[(2.0 * N[Power[N[(N[Power[k$95$m, -2.0], $MachinePrecision] * N[(l / N[Sqrt[t$95$m], $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 1.8 \cdot 10^{-144}:\\
\;\;\;\;\frac{t_m \cdot \frac{2}{{\left(\frac{t_m}{\frac{\ell}{{k_m}^{1.5}}}\right)}^{2}}}{k_m}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot {\left({k_m}^{-2} \cdot \frac{\ell}{\sqrt{t_m}}\right)}^{2}\\
\end{array}
\end{array}
if k < 1.8e-144Initial program 37.9%
associate-/r*37.9%
*-commutative37.9%
associate-*l*37.9%
associate-*l/37.9%
+-commutative37.9%
unpow237.9%
sqr-neg37.9%
distribute-frac-neg37.9%
distribute-frac-neg37.9%
unpow237.9%
associate--l+46.6%
metadata-eval46.6%
+-rgt-identity46.6%
unpow246.6%
distribute-frac-neg46.6%
distribute-frac-neg46.6%
Simplified46.6%
*-un-lft-identity46.6%
unpow246.6%
times-frac49.8%
clear-num49.8%
Applied egg-rr49.9%
associate-/l/49.9%
associate-*r*49.9%
*-commutative49.9%
Simplified49.9%
Taylor expanded in k around 0 49.6%
*-commutative49.6%
associate-/l*49.6%
Simplified49.6%
associate-*l/49.6%
add-sqr-sqrt14.8%
pow214.8%
sqrt-div35.4%
unpow235.4%
sqrt-prod17.4%
add-sqr-sqrt43.6%
sqrt-div18.5%
unpow218.5%
sqrt-prod14.9%
add-sqr-sqrt27.9%
sqrt-pow129.7%
metadata-eval29.7%
Applied egg-rr29.7%
if 1.8e-144 < k Initial program 26.0%
associate-/r*26.0%
*-commutative26.0%
associate-*l*25.9%
associate-*l/27.0%
+-commutative27.0%
unpow227.0%
sqr-neg27.0%
distribute-frac-neg27.0%
distribute-frac-neg27.0%
unpow227.0%
associate--l+35.5%
metadata-eval35.5%
+-rgt-identity35.5%
unpow235.5%
distribute-frac-neg35.5%
distribute-frac-neg35.5%
Simplified35.5%
Taylor expanded in k around 0 58.5%
*-commutative58.5%
associate-/r*55.2%
Simplified55.2%
div-inv55.2%
pow-flip55.2%
metadata-eval55.2%
Applied egg-rr55.2%
add-sqr-sqrt43.2%
pow243.2%
*-commutative43.2%
sqrt-prod34.6%
sqrt-pow138.7%
metadata-eval38.7%
sqrt-div31.8%
unpow231.8%
sqrt-prod18.3%
add-sqr-sqrt34.0%
Applied egg-rr34.0%
Final simplification31.3%
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 (<= l 5e-40)
(* 2.0 (/ (pow (* l (pow k_m -2.0)) 2.0) t_m))
(* (/ 2.0 k_m) (/ t_m (pow (* (pow k_m 1.5) (/ t_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 (l <= 5e-40) {
tmp = 2.0 * (pow((l * pow(k_m, -2.0)), 2.0) / t_m);
} else {
tmp = (2.0 / k_m) * (t_m / pow((pow(k_m, 1.5) * (t_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 (l <= 5d-40) then
tmp = 2.0d0 * (((l * (k_m ** (-2.0d0))) ** 2.0d0) / t_m)
else
tmp = (2.0d0 / k_m) * (t_m / (((k_m ** 1.5d0) * (t_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 (l <= 5e-40) {
tmp = 2.0 * (Math.pow((l * Math.pow(k_m, -2.0)), 2.0) / t_m);
} else {
tmp = (2.0 / k_m) * (t_m / Math.pow((Math.pow(k_m, 1.5) * (t_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 l <= 5e-40: tmp = 2.0 * (math.pow((l * math.pow(k_m, -2.0)), 2.0) / t_m) else: tmp = (2.0 / k_m) * (t_m / math.pow((math.pow(k_m, 1.5) * (t_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 (l <= 5e-40) tmp = Float64(2.0 * Float64((Float64(l * (k_m ^ -2.0)) ^ 2.0) / t_m)); else tmp = Float64(Float64(2.0 / k_m) * Float64(t_m / (Float64((k_m ^ 1.5) * Float64(t_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 (l <= 5e-40) tmp = 2.0 * (((l * (k_m ^ -2.0)) ^ 2.0) / t_m); else tmp = (2.0 / k_m) * (t_m / (((k_m ^ 1.5) * (t_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[l, 5e-40], N[(2.0 * N[(N[Power[N[(l * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / k$95$m), $MachinePrecision] * N[(t$95$m / N[Power[N[(N[Power[k$95$m, 1.5], $MachinePrecision] * N[(t$95$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}\;\ell \leq 5 \cdot 10^{-40}:\\
\;\;\;\;2 \cdot \frac{{\left(\ell \cdot {k_m}^{-2}\right)}^{2}}{t_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{k_m} \cdot \frac{t_m}{{\left({k_m}^{1.5} \cdot \frac{t_m}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
if l < 4.99999999999999965e-40Initial program 30.4%
associate-/r*30.3%
*-commutative30.3%
associate-*l*30.3%
associate-*l/30.3%
+-commutative30.3%
unpow230.3%
sqr-neg30.3%
distribute-frac-neg30.3%
distribute-frac-neg30.3%
unpow230.3%
associate--l+41.6%
metadata-eval41.6%
+-rgt-identity41.6%
unpow241.6%
distribute-frac-neg41.6%
distribute-frac-neg41.6%
Simplified41.6%
Taylor expanded in k around 0 59.6%
*-commutative59.6%
associate-/r*56.2%
Simplified56.2%
div-inv56.2%
pow-flip56.2%
metadata-eval56.2%
Applied egg-rr56.2%
associate-*l/59.6%
Applied egg-rr59.6%
add-sqr-sqrt59.6%
pow259.6%
sqrt-prod59.6%
unpow259.6%
sqrt-prod26.2%
add-sqr-sqrt72.3%
sqrt-pow176.8%
metadata-eval76.8%
Applied egg-rr76.8%
if 4.99999999999999965e-40 < l Initial program 42.2%
associate-/r*42.2%
*-commutative42.2%
associate-*l*42.2%
associate-*l/43.6%
+-commutative43.6%
unpow243.6%
sqr-neg43.6%
distribute-frac-neg43.6%
distribute-frac-neg43.6%
unpow243.6%
associate--l+45.1%
metadata-eval45.1%
+-rgt-identity45.1%
unpow245.1%
distribute-frac-neg45.1%
distribute-frac-neg45.1%
Simplified45.1%
*-un-lft-identity45.1%
unpow245.1%
times-frac51.3%
clear-num51.3%
Applied egg-rr49.9%
associate-/l/49.9%
associate-*r*49.9%
*-commutative49.9%
Simplified49.9%
Taylor expanded in k around 0 51.2%
*-commutative51.2%
associate-/l*51.2%
Simplified51.2%
expm1-log1p-u23.6%
expm1-udef23.6%
Applied egg-rr19.3%
expm1-def19.3%
expm1-log1p42.6%
times-frac44.0%
*-commutative44.0%
times-frac44.0%
associate-/r/44.0%
Simplified44.0%
Final simplification67.9%
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 (<= l 5000.0)
(* 2.0 (/ (pow (* l (pow k_m -2.0)) 2.0) t_m))
(/ (* 2.0 t_m) (* k_m (pow (/ t_m (/ l (pow k_m 1.5))) 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 (l <= 5000.0) {
tmp = 2.0 * (pow((l * pow(k_m, -2.0)), 2.0) / t_m);
} else {
tmp = (2.0 * t_m) / (k_m * pow((t_m / (l / pow(k_m, 1.5))), 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 (l <= 5000.0d0) then
tmp = 2.0d0 * (((l * (k_m ** (-2.0d0))) ** 2.0d0) / t_m)
else
tmp = (2.0d0 * t_m) / (k_m * ((t_m / (l / (k_m ** 1.5d0))) ** 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 (l <= 5000.0) {
tmp = 2.0 * (Math.pow((l * Math.pow(k_m, -2.0)), 2.0) / t_m);
} else {
tmp = (2.0 * t_m) / (k_m * Math.pow((t_m / (l / Math.pow(k_m, 1.5))), 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 l <= 5000.0: tmp = 2.0 * (math.pow((l * math.pow(k_m, -2.0)), 2.0) / t_m) else: tmp = (2.0 * t_m) / (k_m * math.pow((t_m / (l / math.pow(k_m, 1.5))), 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 (l <= 5000.0) tmp = Float64(2.0 * Float64((Float64(l * (k_m ^ -2.0)) ^ 2.0) / t_m)); else tmp = Float64(Float64(2.0 * t_m) / Float64(k_m * (Float64(t_m / Float64(l / (k_m ^ 1.5))) ^ 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 (l <= 5000.0) tmp = 2.0 * (((l * (k_m ^ -2.0)) ^ 2.0) / t_m); else tmp = (2.0 * t_m) / (k_m * ((t_m / (l / (k_m ^ 1.5))) ^ 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[l, 5000.0], N[(2.0 * N[(N[Power[N[(l * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$m), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * t$95$m), $MachinePrecision] / N[(k$95$m * N[Power[N[(t$95$m / N[(l / N[Power[k$95$m, 1.5], $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}\;\ell \leq 5000:\\
\;\;\;\;2 \cdot \frac{{\left(\ell \cdot {k_m}^{-2}\right)}^{2}}{t_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot t_m}{k_m \cdot {\left(\frac{t_m}{\frac{\ell}{{k_m}^{1.5}}}\right)}^{2}}\\
\end{array}
\end{array}
if l < 5e3Initial program 31.0%
associate-/r*31.0%
*-commutative31.0%
associate-*l*31.0%
associate-*l/31.5%
+-commutative31.5%
unpow231.5%
sqr-neg31.5%
distribute-frac-neg31.5%
distribute-frac-neg31.5%
unpow231.5%
associate--l+42.1%
metadata-eval42.1%
+-rgt-identity42.1%
unpow242.1%
distribute-frac-neg42.1%
distribute-frac-neg42.1%
Simplified42.1%
Taylor expanded in k around 0 61.1%
*-commutative61.1%
associate-/r*57.9%
Simplified57.9%
div-inv57.9%
pow-flip57.9%
metadata-eval57.9%
Applied egg-rr57.9%
associate-*l/61.1%
Applied egg-rr61.1%
add-sqr-sqrt61.1%
pow261.1%
sqrt-prod61.1%
unpow261.1%
sqrt-prod29.7%
add-sqr-sqrt73.0%
sqrt-pow177.2%
metadata-eval77.2%
Applied egg-rr77.2%
if 5e3 < l Initial program 42.3%
associate-/r*42.3%
*-commutative42.3%
associate-*l*42.3%
associate-*l/42.3%
+-commutative42.3%
unpow242.3%
sqr-neg42.3%
distribute-frac-neg42.3%
distribute-frac-neg42.3%
unpow242.3%
associate--l+44.1%
metadata-eval44.1%
+-rgt-identity44.1%
unpow244.1%
distribute-frac-neg44.1%
distribute-frac-neg44.1%
Simplified44.1%
*-un-lft-identity44.1%
unpow244.1%
times-frac51.6%
clear-num51.6%
Applied egg-rr51.6%
associate-/l/51.7%
associate-*r*51.7%
*-commutative51.7%
Simplified51.7%
Taylor expanded in k around 0 49.6%
*-commutative49.6%
associate-/l*49.6%
Simplified49.6%
frac-times49.6%
add-sqr-sqrt36.9%
pow236.9%
sqrt-div35.3%
unpow235.3%
sqrt-prod14.1%
add-sqr-sqrt37.1%
sqrt-div37.0%
unpow237.0%
sqrt-prod39.2%
add-sqr-sqrt39.2%
sqrt-pow142.7%
metadata-eval42.7%
Applied egg-rr42.7%
Final simplification69.5%
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 (* t_s (/ (* t_m (/ 2.0 (pow (/ t_m (/ l (pow k_m 1.5))) 2.0))) 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) {
return t_s * ((t_m * (2.0 / pow((t_m / (l / pow(k_m, 1.5))), 2.0))) / k_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 * ((t_m * (2.0d0 / ((t_m / (l / (k_m ** 1.5d0))) ** 2.0d0))) / k_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 * ((t_m * (2.0 / Math.pow((t_m / (l / Math.pow(k_m, 1.5))), 2.0))) / k_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 * ((t_m * (2.0 / math.pow((t_m / (l / math.pow(k_m, 1.5))), 2.0))) / k_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(Float64(t_m * Float64(2.0 / (Float64(t_m / Float64(l / (k_m ^ 1.5))) ^ 2.0))) / k_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 * ((t_m * (2.0 / ((t_m / (l / (k_m ^ 1.5))) ^ 2.0))) / k_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[(N[(t$95$m * N[(2.0 / N[Power[N[(t$95$m / N[(l / N[Power[k$95$m, 1.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k$95$m), $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 \frac{t_m \cdot \frac{2}{{\left(\frac{t_m}{\frac{\ell}{{k_m}^{1.5}}}\right)}^{2}}}{k_m}
\end{array}
Initial program 33.5%
associate-/r*33.5%
*-commutative33.5%
associate-*l*33.5%
associate-*l/33.9%
+-commutative33.9%
unpow233.9%
sqr-neg33.9%
distribute-frac-neg33.9%
distribute-frac-neg33.9%
unpow233.9%
associate--l+42.5%
metadata-eval42.5%
+-rgt-identity42.5%
unpow242.5%
distribute-frac-neg42.5%
distribute-frac-neg42.5%
Simplified42.5%
*-un-lft-identity42.5%
unpow242.5%
times-frac47.1%
clear-num47.1%
Applied egg-rr47.4%
associate-/l/47.4%
associate-*r*47.5%
*-commutative47.5%
Simplified47.5%
Taylor expanded in k around 0 48.5%
*-commutative48.5%
associate-/l*48.9%
Simplified48.9%
associate-*l/48.9%
add-sqr-sqrt26.9%
pow226.9%
sqrt-div39.9%
unpow239.9%
sqrt-prod21.2%
add-sqr-sqrt47.9%
sqrt-div32.4%
unpow232.4%
sqrt-prod20.4%
add-sqr-sqrt40.9%
sqrt-pow143.1%
metadata-eval43.1%
Applied egg-rr43.1%
Final simplification43.1%
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 k_m -4.0) (/ (pow l 2.0) 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(k_m, -4.0) * (pow(l, 2.0) / 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 * ((k_m ** (-4.0d0)) * ((l ** 2.0d0) / 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(k_m, -4.0) * (Math.pow(l, 2.0) / 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(k_m, -4.0) * (math.pow(l, 2.0) / 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((k_m ^ -4.0) * Float64((l ^ 2.0) / 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 * ((k_m ^ -4.0) * ((l ^ 2.0) / 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[Power[k$95$m, -4.0], $MachinePrecision] * N[(N[Power[l, 2.0], $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}^{2}}{t_m}\right)\right)
\end{array}
Initial program 33.5%
associate-/r*33.5%
*-commutative33.5%
associate-*l*33.5%
associate-*l/33.9%
+-commutative33.9%
unpow233.9%
sqr-neg33.9%
distribute-frac-neg33.9%
distribute-frac-neg33.9%
unpow233.9%
associate--l+42.5%
metadata-eval42.5%
+-rgt-identity42.5%
unpow242.5%
distribute-frac-neg42.5%
distribute-frac-neg42.5%
Simplified42.5%
Taylor expanded in k around 0 58.5%
*-commutative58.5%
associate-/r*56.1%
Simplified56.1%
div-inv56.1%
pow-flip56.1%
metadata-eval56.1%
Applied egg-rr56.1%
Final simplification56.1%
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 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 33.5%
associate-/r*33.5%
*-commutative33.5%
associate-*l*33.5%
associate-*l/33.9%
+-commutative33.9%
unpow233.9%
sqr-neg33.9%
distribute-frac-neg33.9%
distribute-frac-neg33.9%
unpow233.9%
associate--l+42.5%
metadata-eval42.5%
+-rgt-identity42.5%
unpow242.5%
distribute-frac-neg42.5%
distribute-frac-neg42.5%
Simplified42.5%
Taylor expanded in k around 0 58.5%
*-commutative58.5%
associate-/r*56.1%
Simplified56.1%
div-inv56.1%
pow-flip56.1%
metadata-eval56.1%
Applied egg-rr56.1%
associate-*l/58.6%
Applied egg-rr58.6%
Final simplification58.6%
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 (pow k_m -2.0)) 2.0) 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 * pow(k_m, -2.0)), 2.0) / 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 * (k_m ** (-2.0d0))) ** 2.0d0) / 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 * Math.pow(k_m, -2.0)), 2.0) / 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 * math.pow(k_m, -2.0)), 2.0) / 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 * (k_m ^ -2.0)) ^ 2.0) / 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 * (k_m ^ -2.0)) ^ 2.0) / 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[Power[N[(l * N[Power[k$95$m, -2.0], $MachinePrecision]), $MachinePrecision], 2.0], $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{{\left(\ell \cdot {k_m}^{-2}\right)}^{2}}{t_m}\right)
\end{array}
Initial program 33.5%
associate-/r*33.5%
*-commutative33.5%
associate-*l*33.5%
associate-*l/33.9%
+-commutative33.9%
unpow233.9%
sqr-neg33.9%
distribute-frac-neg33.9%
distribute-frac-neg33.9%
unpow233.9%
associate--l+42.5%
metadata-eval42.5%
+-rgt-identity42.5%
unpow242.5%
distribute-frac-neg42.5%
distribute-frac-neg42.5%
Simplified42.5%
Taylor expanded in k around 0 58.5%
*-commutative58.5%
associate-/r*56.1%
Simplified56.1%
div-inv56.1%
pow-flip56.1%
metadata-eval56.1%
Applied egg-rr56.1%
associate-*l/58.6%
Applied egg-rr58.6%
add-sqr-sqrt58.6%
pow258.6%
sqrt-prod58.6%
unpow258.6%
sqrt-prod34.8%
add-sqr-sqrt68.4%
sqrt-pow172.2%
metadata-eval72.2%
Applied egg-rr72.2%
Final simplification72.2%
herbie shell --seed 2023322
(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))))