
(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 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
\end{array}
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(*
(pow (sin k) -2.0)
(* (cos k) (* (/ 2.0 t_m) (/ (pow k -2.0) (pow l -2.0)))))
(pow
(* (* (/ l (sin k)) (/ (sqrt 2.0) k)) (sqrt (* (/ 1.0 t_m) (cos k))))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = pow(sin(k), -2.0) * (cos(k) * ((2.0 / t_m) * (pow(k, -2.0) / pow(l, -2.0))));
} else {
tmp = pow((((l / sin(k)) * (sqrt(2.0) / k)) * sqrt(((1.0 / t_m) * cos(k)))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = (sin(k) ** (-2.0d0)) * (cos(k) * ((2.0d0 / t_m) * ((k ** (-2.0d0)) / (l ** (-2.0d0)))))
else
tmp = (((l / sin(k)) * (sqrt(2.0d0) / k)) * sqrt(((1.0d0 / t_m) * cos(k)))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = Math.pow(Math.sin(k), -2.0) * (Math.cos(k) * ((2.0 / t_m) * (Math.pow(k, -2.0) / Math.pow(l, -2.0))));
} else {
tmp = Math.pow((((l / Math.sin(k)) * (Math.sqrt(2.0) / k)) * Math.sqrt(((1.0 / t_m) * Math.cos(k)))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = math.pow(math.sin(k), -2.0) * (math.cos(k) * ((2.0 / t_m) * (math.pow(k, -2.0) / math.pow(l, -2.0)))) else: tmp = math.pow((((l / math.sin(k)) * (math.sqrt(2.0) / k)) * math.sqrt(((1.0 / t_m) * math.cos(k)))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64((sin(k) ^ -2.0) * Float64(cos(k) * Float64(Float64(2.0 / t_m) * Float64((k ^ -2.0) / (l ^ -2.0))))); else tmp = Float64(Float64(Float64(l / sin(k)) * Float64(sqrt(2.0) / k)) * sqrt(Float64(Float64(1.0 / t_m) * cos(k)))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = (sin(k) ^ -2.0) * (cos(k) * ((2.0 / t_m) * ((k ^ -2.0) / (l ^ -2.0)))); else tmp = (((l / sin(k)) * (sqrt(2.0) / k)) * sqrt(((1.0 / t_m) * cos(k)))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[(2.0 / t$95$m), $MachinePrecision] * N[(N[Power[k, -2.0], $MachinePrecision] / N[Power[l, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[(1.0 / t$95$m), $MachinePrecision] * N[Cos[k], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;{\sin k}^{-2} \cdot \left(\cos k \cdot \left(\frac{2}{t_m} \cdot \frac{{k}^{-2}}{{\ell}^{-2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(\left(\frac{\ell}{\sin k} \cdot \frac{\sqrt{2}}{k}\right) \cdot \sqrt{\frac{1}{t_m} \cdot \cos k}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
Taylor expanded in t around 0 89.6%
times-frac91.0%
Simplified91.0%
expm1-log1p-u63.1%
expm1-udef54.8%
associate-/r*54.8%
div-inv54.8%
pow-flip54.8%
metadata-eval54.8%
associate-/l*54.8%
Applied egg-rr54.8%
expm1-def63.4%
expm1-log1p91.3%
associate-/r/91.3%
associate-/r*91.3%
Simplified91.3%
expm1-log1p-u63.3%
expm1-udef54.8%
associate-/l/52.7%
div-inv52.7%
pow-flip52.7%
metadata-eval52.7%
div-inv52.7%
pow-flip52.7%
metadata-eval52.7%
Applied egg-rr52.7%
expm1-def62.2%
expm1-log1p88.9%
associate-*r*89.0%
*-commutative89.0%
*-commutative89.0%
times-frac91.6%
Simplified91.6%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
*-commutative43.3%
times-frac43.3%
Simplified43.3%
div-inv43.4%
Applied egg-rr43.4%
Final simplification67.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(*
(/ (/ (/ 2.0 (pow k 2.0)) (pow l -2.0)) t_m)
(/ (cos k) (pow (sin k) 2.0)))
(pow
(* (/ (* (sqrt 2.0) (/ l (sin k))) k) (sqrt (/ (cos k) t_m)))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = (((2.0 / pow(k, 2.0)) / pow(l, -2.0)) / t_m) * (cos(k) / pow(sin(k), 2.0));
} else {
tmp = pow((((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = (((2.0d0 / (k ** 2.0d0)) / (l ** (-2.0d0))) / t_m) * (cos(k) / (sin(k) ** 2.0d0))
else
tmp = (((sqrt(2.0d0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = (((2.0 / Math.pow(k, 2.0)) / Math.pow(l, -2.0)) / t_m) * (Math.cos(k) / Math.pow(Math.sin(k), 2.0));
} else {
tmp = Math.pow((((Math.sqrt(2.0) * (l / Math.sin(k))) / k) * Math.sqrt((Math.cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = (((2.0 / math.pow(k, 2.0)) / math.pow(l, -2.0)) / t_m) * (math.cos(k) / math.pow(math.sin(k), 2.0)) else: tmp = math.pow((((math.sqrt(2.0) * (l / math.sin(k))) / k) * math.sqrt((math.cos(k) / t_m))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64(Float64(Float64(Float64(2.0 / (k ^ 2.0)) / (l ^ -2.0)) / t_m) * Float64(cos(k) / (sin(k) ^ 2.0))); else tmp = Float64(Float64(Float64(sqrt(2.0) * Float64(l / sin(k))) / k) * sqrt(Float64(cos(k) / t_m))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = (((2.0 / (k ^ 2.0)) / (l ^ -2.0)) / t_m) * (cos(k) / (sin(k) ^ 2.0)); else tmp = (((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(N[(N[(N[(2.0 / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, -2.0], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;\frac{\frac{\frac{2}{{k}^{2}}}{{\ell}^{-2}}}{t_m} \cdot \frac{\cos k}{{\sin k}^{2}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\sqrt{2} \cdot \frac{\ell}{\sin k}}{k} \cdot \sqrt{\frac{\cos k}{t_m}}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
Taylor expanded in t around 0 89.6%
times-frac91.0%
Simplified91.0%
expm1-log1p-u63.1%
expm1-udef54.8%
associate-/r*54.8%
div-inv54.8%
pow-flip54.8%
metadata-eval54.8%
associate-/l*54.8%
Applied egg-rr54.8%
expm1-def63.4%
expm1-log1p91.3%
associate-/r/91.3%
associate-/r*91.3%
Simplified91.3%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
*-commutative43.3%
times-frac43.3%
Simplified43.3%
associate-*r/43.3%
Applied egg-rr43.3%
Final simplification67.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(*
(pow (sin k) -2.0)
(* (cos k) (* (/ 2.0 t_m) (/ (pow k -2.0) (pow l -2.0)))))
(pow
(* (/ (* (sqrt 2.0) (/ l (sin k))) k) (sqrt (/ (cos k) t_m)))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = pow(sin(k), -2.0) * (cos(k) * ((2.0 / t_m) * (pow(k, -2.0) / pow(l, -2.0))));
} else {
tmp = pow((((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = (sin(k) ** (-2.0d0)) * (cos(k) * ((2.0d0 / t_m) * ((k ** (-2.0d0)) / (l ** (-2.0d0)))))
else
tmp = (((sqrt(2.0d0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = Math.pow(Math.sin(k), -2.0) * (Math.cos(k) * ((2.0 / t_m) * (Math.pow(k, -2.0) / Math.pow(l, -2.0))));
} else {
tmp = Math.pow((((Math.sqrt(2.0) * (l / Math.sin(k))) / k) * Math.sqrt((Math.cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = math.pow(math.sin(k), -2.0) * (math.cos(k) * ((2.0 / t_m) * (math.pow(k, -2.0) / math.pow(l, -2.0)))) else: tmp = math.pow((((math.sqrt(2.0) * (l / math.sin(k))) / k) * math.sqrt((math.cos(k) / t_m))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64((sin(k) ^ -2.0) * Float64(cos(k) * Float64(Float64(2.0 / t_m) * Float64((k ^ -2.0) / (l ^ -2.0))))); else tmp = Float64(Float64(Float64(sqrt(2.0) * Float64(l / sin(k))) / k) * sqrt(Float64(cos(k) / t_m))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = (sin(k) ^ -2.0) * (cos(k) * ((2.0 / t_m) * ((k ^ -2.0) / (l ^ -2.0)))); else tmp = (((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(N[Power[N[Sin[k], $MachinePrecision], -2.0], $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] * N[(N[(2.0 / t$95$m), $MachinePrecision] * N[(N[Power[k, -2.0], $MachinePrecision] / N[Power[l, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;{\sin k}^{-2} \cdot \left(\cos k \cdot \left(\frac{2}{t_m} \cdot \frac{{k}^{-2}}{{\ell}^{-2}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\sqrt{2} \cdot \frac{\ell}{\sin k}}{k} \cdot \sqrt{\frac{\cos k}{t_m}}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
Taylor expanded in t around 0 89.6%
times-frac91.0%
Simplified91.0%
expm1-log1p-u63.1%
expm1-udef54.8%
associate-/r*54.8%
div-inv54.8%
pow-flip54.8%
metadata-eval54.8%
associate-/l*54.8%
Applied egg-rr54.8%
expm1-def63.4%
expm1-log1p91.3%
associate-/r/91.3%
associate-/r*91.3%
Simplified91.3%
expm1-log1p-u63.3%
expm1-udef54.8%
associate-/l/52.7%
div-inv52.7%
pow-flip52.7%
metadata-eval52.7%
div-inv52.7%
pow-flip52.7%
metadata-eval52.7%
Applied egg-rr52.7%
expm1-def62.2%
expm1-log1p88.9%
associate-*r*89.0%
*-commutative89.0%
*-commutative89.0%
times-frac91.6%
Simplified91.6%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
*-commutative43.3%
times-frac43.3%
Simplified43.3%
associate-*r/43.3%
Applied egg-rr43.3%
Final simplification67.3%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(* 2.0 (* (/ (* l l) (pow k 2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0)))))
(pow
(* (* (/ l (sin k)) (/ (sqrt 2.0) k)) (sqrt (/ (cos k) t_m)))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / pow(k, 2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0))));
} else {
tmp = pow((((l / sin(k)) * (sqrt(2.0) / k)) * sqrt((cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = 2.0d0 * (((l * l) / (k ** 2.0d0)) * (cos(k) / (t_m * (sin(k) ** 2.0d0))))
else
tmp = (((l / sin(k)) * (sqrt(2.0d0) / k)) * sqrt((cos(k) / t_m))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / Math.pow(k, 2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = Math.pow((((l / Math.sin(k)) * (Math.sqrt(2.0) / k)) * Math.sqrt((Math.cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = 2.0 * (((l * l) / math.pow(k, 2.0)) * (math.cos(k) / (t_m * math.pow(math.sin(k), 2.0)))) else: tmp = math.pow((((l / math.sin(k)) * (math.sqrt(2.0) / k)) * math.sqrt((math.cos(k) / t_m))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64(2.0 * Float64(Float64(Float64(l * l) / (k ^ 2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(Float64(Float64(l / sin(k)) * Float64(sqrt(2.0) / k)) * sqrt(Float64(cos(k) / t_m))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = 2.0 * (((l * l) / (k ^ 2.0)) * (cos(k) / (t_m * (sin(k) ^ 2.0)))); else tmp = (((l / sin(k)) * (sqrt(2.0) / k)) * sqrt((cos(k) / t_m))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(2.0 * N[(N[(N[(l * l), $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;2 \cdot \left(\frac{\ell \cdot \ell}{{k}^{2}} \cdot \frac{\cos k}{t_m \cdot {\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(\left(\frac{\ell}{\sin k} \cdot \frac{\sqrt{2}}{k}\right) \cdot \sqrt{\frac{\cos k}{t_m}}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
associate-/r*46.2%
*-commutative46.2%
associate-*l*46.2%
associate-*l/46.2%
+-commutative46.2%
unpow246.2%
sqr-neg46.2%
distribute-frac-neg46.2%
distribute-frac-neg46.2%
unpow246.2%
associate--l+56.7%
metadata-eval56.7%
+-rgt-identity56.7%
unpow256.7%
distribute-frac-neg56.7%
distribute-frac-neg56.7%
Simplified56.7%
Taylor expanded in k around inf 89.9%
times-frac91.2%
Simplified91.2%
unpow271.8%
Applied egg-rr91.3%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
*-commutative43.3%
times-frac43.3%
Simplified43.3%
Final simplification67.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(* 2.0 (* (/ (* l l) (pow k 2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0)))))
(pow
(* (sqrt (/ (cos k) t_m)) (/ (* l (sqrt 2.0)) (* k (sin k))))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / pow(k, 2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0))));
} else {
tmp = pow((sqrt((cos(k) / t_m)) * ((l * sqrt(2.0)) / (k * sin(k)))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = 2.0d0 * (((l * l) / (k ** 2.0d0)) * (cos(k) / (t_m * (sin(k) ** 2.0d0))))
else
tmp = (sqrt((cos(k) / t_m)) * ((l * sqrt(2.0d0)) / (k * sin(k)))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / Math.pow(k, 2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = Math.pow((Math.sqrt((Math.cos(k) / t_m)) * ((l * Math.sqrt(2.0)) / (k * Math.sin(k)))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = 2.0 * (((l * l) / math.pow(k, 2.0)) * (math.cos(k) / (t_m * math.pow(math.sin(k), 2.0)))) else: tmp = math.pow((math.sqrt((math.cos(k) / t_m)) * ((l * math.sqrt(2.0)) / (k * math.sin(k)))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64(2.0 * Float64(Float64(Float64(l * l) / (k ^ 2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(sqrt(Float64(cos(k) / t_m)) * Float64(Float64(l * sqrt(2.0)) / Float64(k * sin(k)))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = 2.0 * (((l * l) / (k ^ 2.0)) * (cos(k) / (t_m * (sin(k) ^ 2.0)))); else tmp = (sqrt((cos(k) / t_m)) * ((l * sqrt(2.0)) / (k * sin(k)))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(2.0 * N[(N[(N[(l * l), $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[(k * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;2 \cdot \left(\frac{\ell \cdot \ell}{{k}^{2}} \cdot \frac{\cos k}{t_m \cdot {\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(\sqrt{\frac{\cos k}{t_m}} \cdot \frac{\ell \cdot \sqrt{2}}{k \cdot \sin k}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
associate-/r*46.2%
*-commutative46.2%
associate-*l*46.2%
associate-*l/46.2%
+-commutative46.2%
unpow246.2%
sqr-neg46.2%
distribute-frac-neg46.2%
distribute-frac-neg46.2%
unpow246.2%
associate--l+56.7%
metadata-eval56.7%
+-rgt-identity56.7%
unpow256.7%
distribute-frac-neg56.7%
distribute-frac-neg56.7%
Simplified56.7%
Taylor expanded in k around inf 89.9%
times-frac91.2%
Simplified91.2%
unpow271.8%
Applied egg-rr91.3%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
Final simplification67.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= (* l l) 2e-284)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)
(if (<= (* l l) 2e+280)
(* 2.0 (* (/ (* l l) (pow k 2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0)))))
(pow
(* (/ (* (sqrt 2.0) (/ l (sin k))) k) (sqrt (/ (cos k) t_m)))
2.0)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / pow(k, 2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0))));
} else {
tmp = pow((((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if ((l * l) <= 2d-284) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0
else if ((l * l) <= 2d+280) then
tmp = 2.0d0 * (((l * l) / (k ** 2.0d0)) * (cos(k) / (t_m * (sin(k) ** 2.0d0))))
else
tmp = (((sqrt(2.0d0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ** 2.0d0
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if ((l * l) <= 2e-284) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
} else if ((l * l) <= 2e+280) {
tmp = 2.0 * (((l * l) / Math.pow(k, 2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0))));
} else {
tmp = Math.pow((((Math.sqrt(2.0) * (l / Math.sin(k))) / k) * Math.sqrt((Math.cos(k) / t_m))), 2.0);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if (l * l) <= 2e-284: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0) elif (l * l) <= 2e+280: tmp = 2.0 * (((l * l) / math.pow(k, 2.0)) * (math.cos(k) / (t_m * math.pow(math.sin(k), 2.0)))) else: tmp = math.pow((((math.sqrt(2.0) * (l / math.sin(k))) / k) * math.sqrt((math.cos(k) / t_m))), 2.0) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (Float64(l * l) <= 2e-284) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0; elseif (Float64(l * l) <= 2e+280) tmp = Float64(2.0 * Float64(Float64(Float64(l * l) / (k ^ 2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0))))); else tmp = Float64(Float64(Float64(sqrt(2.0) * Float64(l / sin(k))) / k) * sqrt(Float64(cos(k) / t_m))) ^ 2.0; end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if ((l * l) <= 2e-284) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0; elseif ((l * l) <= 2e+280) tmp = 2.0 * (((l * l) / (k ^ 2.0)) * (cos(k) / (t_m * (sin(k) ^ 2.0)))); else tmp = (((sqrt(2.0) * (l / sin(k))) / k) * sqrt((cos(k) / t_m))) ^ 2.0; end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[N[(l * l), $MachinePrecision], 2e-284], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], If[LessEqual[N[(l * l), $MachinePrecision], 2e+280], N[(2.0 * N[(N[(N[(l * l), $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Power[N[(N[(N[(N[Sqrt[2.0], $MachinePrecision] * N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / k), $MachinePrecision] * N[Sqrt[N[(N[Cos[k], $MachinePrecision] / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;\ell \cdot \ell \leq 2 \cdot 10^{-284}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}\\
\mathbf{elif}\;\ell \cdot \ell \leq 2 \cdot 10^{+280}:\\
\;\;\;\;2 \cdot \left(\frac{\ell \cdot \ell}{{k}^{2}} \cdot \frac{\cos k}{t_m \cdot {\sin k}^{2}}\right)\\
\mathbf{else}:\\
\;\;\;\;{\left(\frac{\sqrt{2} \cdot \frac{\ell}{\sin k}}{k} \cdot \sqrt{\frac{\cos k}{t_m}}\right)}^{2}\\
\end{array}
\end{array}
if (*.f64 l l) < 2.00000000000000007e-284Initial program 25.8%
associate-/r*25.8%
*-commutative25.8%
associate-*l*25.8%
associate-*l/25.8%
+-commutative25.8%
unpow225.8%
sqr-neg25.8%
distribute-frac-neg25.8%
distribute-frac-neg25.8%
unpow225.8%
associate--l+38.9%
metadata-eval38.9%
+-rgt-identity38.9%
unpow238.9%
distribute-frac-neg38.9%
distribute-frac-neg38.9%
Simplified38.9%
add-sqr-sqrt37.4%
pow237.4%
Applied egg-rr25.3%
Taylor expanded in k around inf 48.4%
*-commutative48.4%
times-frac48.5%
Simplified48.5%
Taylor expanded in k around 0 45.6%
Taylor expanded in l around 0 45.6%
*-commutative45.6%
times-frac45.6%
Simplified45.6%
if 2.00000000000000007e-284 < (*.f64 l l) < 2.0000000000000001e280Initial program 46.2%
associate-/r*46.2%
*-commutative46.2%
associate-*l*46.2%
associate-*l/46.2%
+-commutative46.2%
unpow246.2%
sqr-neg46.2%
distribute-frac-neg46.2%
distribute-frac-neg46.2%
unpow246.2%
associate--l+56.7%
metadata-eval56.7%
+-rgt-identity56.7%
unpow256.7%
distribute-frac-neg56.7%
distribute-frac-neg56.7%
Simplified56.7%
Taylor expanded in k around inf 89.9%
times-frac91.2%
Simplified91.2%
unpow271.8%
Applied egg-rr91.3%
if 2.0000000000000001e280 < (*.f64 l l) Initial program 30.7%
associate-/r*30.7%
*-commutative30.7%
associate-*l*30.7%
associate-*l/30.7%
+-commutative30.7%
unpow230.7%
sqr-neg30.7%
distribute-frac-neg30.7%
distribute-frac-neg30.7%
unpow230.7%
associate--l+30.8%
metadata-eval30.8%
+-rgt-identity30.8%
unpow230.8%
distribute-frac-neg30.8%
distribute-frac-neg30.8%
Simplified30.8%
add-sqr-sqrt11.4%
pow211.4%
Applied egg-rr21.5%
Taylor expanded in k around inf 43.3%
*-commutative43.3%
times-frac43.3%
Simplified43.3%
associate-*r/43.3%
Applied egg-rr43.3%
Final simplification67.2%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 3.1e-23)
(pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) k))) 2.0)
(*
2.0
(* (/ (* l l) (pow k 2.0)) (/ (cos k) (* t_m (pow (sin k) 2.0))))))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.1e-23) {
tmp = pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / k))), 2.0);
} else {
tmp = 2.0 * (((l * l) / pow(k, 2.0)) * (cos(k) / (t_m * pow(sin(k), 2.0))));
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 3.1d-23) then
tmp = (sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / k))) ** 2.0d0
else
tmp = 2.0d0 * (((l * l) / (k ** 2.0d0)) * (cos(k) / (t_m * (sin(k) ** 2.0d0))))
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 3.1e-23) {
tmp = Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / k))), 2.0);
} else {
tmp = 2.0 * (((l * l) / Math.pow(k, 2.0)) * (Math.cos(k) / (t_m * Math.pow(Math.sin(k), 2.0))));
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 3.1e-23: tmp = math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / k))), 2.0) else: tmp = 2.0 * (((l * l) / math.pow(k, 2.0)) * (math.cos(k) / (t_m * math.pow(math.sin(k), 2.0)))) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 3.1e-23) tmp = Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / k))) ^ 2.0; else tmp = Float64(2.0 * Float64(Float64(Float64(l * l) / (k ^ 2.0)) * Float64(cos(k) / Float64(t_m * (sin(k) ^ 2.0))))); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 3.1e-23) tmp = (sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / k))) ^ 2.0; else tmp = 2.0 * (((l * l) / (k ^ 2.0)) * (cos(k) / (t_m * (sin(k) ^ 2.0)))); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 3.1e-23], N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision], N[(2.0 * N[(N[(N[(l * l), $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] * N[(N[Cos[k], $MachinePrecision] / N[(t$95$m * N[Power[N[Sin[k], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 3.1 \cdot 10^{-23}:\\
\;\;\;\;{\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{k}\right)\right)}^{2}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(\frac{\ell \cdot \ell}{{k}^{2}} \cdot \frac{\cos k}{t_m \cdot {\sin k}^{2}}\right)\\
\end{array}
\end{array}
if k < 3.0999999999999999e-23Initial program 40.2%
associate-/r*40.2%
*-commutative40.2%
associate-*l*40.2%
associate-*l/40.2%
+-commutative40.2%
unpow240.2%
sqr-neg40.2%
distribute-frac-neg40.2%
distribute-frac-neg40.2%
unpow240.2%
associate--l+48.2%
metadata-eval48.2%
+-rgt-identity48.2%
unpow248.2%
distribute-frac-neg48.2%
distribute-frac-neg48.2%
Simplified48.2%
add-sqr-sqrt29.4%
pow229.4%
Applied egg-rr23.6%
Taylor expanded in k around inf 37.7%
*-commutative37.7%
times-frac37.7%
Simplified37.7%
Taylor expanded in k around 0 31.7%
Taylor expanded in k around 0 30.8%
if 3.0999999999999999e-23 < k Initial program 29.4%
associate-/r*29.4%
*-commutative29.4%
associate-*l*29.4%
associate-*l/29.4%
+-commutative29.4%
unpow229.4%
sqr-neg29.4%
distribute-frac-neg29.4%
distribute-frac-neg29.4%
unpow229.4%
associate--l+39.7%
metadata-eval39.7%
+-rgt-identity39.7%
unpow239.7%
distribute-frac-neg39.7%
distribute-frac-neg39.7%
Simplified39.7%
Taylor expanded in k around inf 80.0%
times-frac80.2%
Simplified80.2%
unpow263.0%
Applied egg-rr80.2%
Final simplification46.0%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) (sin k)))) 2.0)))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))), 2.0);
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / sin(k)))) ** 2.0d0)
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / Math.sin(k)))), 2.0);
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / math.sin(k)))), 2.0)
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * (Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / sin(k)))) ^ 2.0)) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / sin(k)))) ^ 2.0); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot {\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{\sin k}\right)\right)}^{2}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
add-sqr-sqrt32.6%
pow232.6%
Applied egg-rr24.8%
Taylor expanded in k around inf 42.4%
*-commutative42.4%
times-frac42.4%
Simplified42.4%
Taylor expanded in k around 0 33.7%
Taylor expanded in l around 0 33.6%
*-commutative33.6%
times-frac33.7%
Simplified33.7%
Final simplification33.7%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (pow (* (/ l (sin k)) (* (/ (sqrt 2.0) k) (pow t_m -0.5))) 2.0)))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * pow(((l / sin(k)) * ((sqrt(2.0) / k) * pow(t_m, -0.5))), 2.0);
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (((l / sin(k)) * ((sqrt(2.0d0) / k) * (t_m ** (-0.5d0)))) ** 2.0d0)
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * Math.pow(((l / Math.sin(k)) * ((Math.sqrt(2.0) / k) * Math.pow(t_m, -0.5))), 2.0);
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * math.pow(((l / math.sin(k)) * ((math.sqrt(2.0) / k) * math.pow(t_m, -0.5))), 2.0)
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * (Float64(Float64(l / sin(k)) * Float64(Float64(sqrt(2.0) / k) * (t_m ^ -0.5))) ^ 2.0)) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (((l / sin(k)) * ((sqrt(2.0) / k) * (t_m ^ -0.5))) ^ 2.0); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[Power[N[(N[(l / N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Sqrt[2.0], $MachinePrecision] / k), $MachinePrecision] * N[Power[t$95$m, -0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot {\left(\frac{\ell}{\sin k} \cdot \left(\frac{\sqrt{2}}{k} \cdot {t_m}^{-0.5}\right)\right)}^{2}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
add-sqr-sqrt32.6%
pow232.6%
Applied egg-rr24.8%
Taylor expanded in k around inf 42.4%
*-commutative42.4%
times-frac42.4%
Simplified42.4%
Taylor expanded in k around 0 33.7%
expm1-log1p-u27.5%
expm1-udef26.0%
associate-*l*26.0%
pow1/226.0%
inv-pow26.0%
pow-pow26.0%
metadata-eval26.0%
Applied egg-rr26.0%
expm1-def27.5%
expm1-log1p33.7%
Simplified33.7%
Final simplification33.7%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (pow (* (sqrt (/ 1.0 t_m)) (* (/ l k) (/ (sqrt 2.0) k))) 2.0)))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * pow((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / k))), 2.0);
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((sqrt((1.0d0 / t_m)) * ((l / k) * (sqrt(2.0d0) / k))) ** 2.0d0)
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * Math.pow((Math.sqrt((1.0 / t_m)) * ((l / k) * (Math.sqrt(2.0) / k))), 2.0);
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * math.pow((math.sqrt((1.0 / t_m)) * ((l / k) * (math.sqrt(2.0) / k))), 2.0)
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * (Float64(sqrt(Float64(1.0 / t_m)) * Float64(Float64(l / k) * Float64(sqrt(2.0) / k))) ^ 2.0)) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((sqrt((1.0 / t_m)) * ((l / k) * (sqrt(2.0) / k))) ^ 2.0); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[Power[N[(N[Sqrt[N[(1.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(N[(l / k), $MachinePrecision] * N[(N[Sqrt[2.0], $MachinePrecision] / k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot {\left(\sqrt{\frac{1}{t_m}} \cdot \left(\frac{\ell}{k} \cdot \frac{\sqrt{2}}{k}\right)\right)}^{2}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
add-sqr-sqrt32.6%
pow232.6%
Applied egg-rr24.8%
Taylor expanded in k around inf 42.4%
*-commutative42.4%
times-frac42.4%
Simplified42.4%
Taylor expanded in k around 0 33.7%
Taylor expanded in k around 0 32.1%
Final simplification32.1%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (/ 2.0 t_m) (pow (* l (sqrt (pow k -4.0))) 2.0))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 / t_m) * pow((l * sqrt(pow(k, -4.0))), 2.0));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((2.0d0 / t_m) * ((l * sqrt((k ** (-4.0d0)))) ** 2.0d0))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 / t_m) * Math.pow((l * Math.sqrt(Math.pow(k, -4.0))), 2.0));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((2.0 / t_m) * math.pow((l * math.sqrt(math.pow(k, -4.0))), 2.0))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(2.0 / t_m) * (Float64(l * sqrt((k ^ -4.0))) ^ 2.0))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((2.0 / t_m) * ((l * sqrt((k ^ -4.0))) ^ 2.0)); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(2.0 / t$95$m), $MachinePrecision] * N[Power[N[(l * N[Sqrt[N[Power[k, -4.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \left(\frac{2}{t_m} \cdot {\left(\ell \cdot \sqrt{{k}^{-4}}\right)}^{2}\right)
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
add-sqr-sqrt65.1%
pow265.1%
div-inv65.1%
sqrt-prod65.1%
sqrt-prod31.4%
add-sqr-sqrt69.4%
pow-flip69.4%
metadata-eval69.4%
Applied egg-rr69.4%
Final simplification69.4%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (/ 2.0 t_m) (pow (* l (fabs (pow k -2.0))) 2.0))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 / t_m) * pow((l * fabs(pow(k, -2.0))), 2.0));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((2.0d0 / t_m) * ((l * abs((k ** (-2.0d0)))) ** 2.0d0))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 / t_m) * Math.pow((l * Math.abs(Math.pow(k, -2.0))), 2.0));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((2.0 / t_m) * math.pow((l * math.fabs(math.pow(k, -2.0))), 2.0))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(2.0 / t_m) * (Float64(l * abs((k ^ -2.0))) ^ 2.0))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((2.0 / t_m) * ((l * abs((k ^ -2.0))) ^ 2.0)); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(2.0 / t$95$m), $MachinePrecision] * N[Power[N[(l * N[Abs[N[Power[k, -2.0], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \left(\frac{2}{t_m} \cdot {\left(\ell \cdot \left|{k}^{-2}\right|\right)}^{2}\right)
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
add-sqr-sqrt44.6%
pow244.6%
sqrt-prod28.9%
div-inv28.9%
sqrt-prod29.2%
sqrt-prod13.2%
add-sqr-sqrt30.6%
pow-flip30.6%
metadata-eval30.6%
Applied egg-rr30.6%
*-commutative30.6%
associate-*l*30.6%
metadata-eval30.6%
pow-sqr30.6%
rem-sqrt-square32.2%
Simplified32.2%
associate-*r*32.1%
unpow-prod-down31.4%
pow231.4%
add-sqr-sqrt73.2%
Applied egg-rr73.2%
Final simplification73.2%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (pow (* l (* (pow k -2.0) (sqrt (/ 2.0 t_m)))) 2.0)))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * pow((l * (pow(k, -2.0) * sqrt((2.0 / t_m)))), 2.0);
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((l * ((k ** (-2.0d0)) * sqrt((2.0d0 / t_m)))) ** 2.0d0)
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * Math.pow((l * (Math.pow(k, -2.0) * Math.sqrt((2.0 / t_m)))), 2.0);
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * math.pow((l * (math.pow(k, -2.0) * math.sqrt((2.0 / t_m)))), 2.0)
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * (Float64(l * Float64((k ^ -2.0) * sqrt(Float64(2.0 / t_m)))) ^ 2.0)) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((l * ((k ^ -2.0) * sqrt((2.0 / t_m)))) ^ 2.0); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[Power[N[(l * N[(N[Power[k, -2.0], $MachinePrecision] * N[Sqrt[N[(2.0 / t$95$m), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot {\left(\ell \cdot \left({k}^{-2} \cdot \sqrt{\frac{2}{t_m}}\right)\right)}^{2}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
add-sqr-sqrt44.6%
pow244.6%
sqrt-prod28.9%
div-inv28.9%
sqrt-prod29.2%
sqrt-prod13.2%
add-sqr-sqrt30.6%
pow-flip30.6%
metadata-eval30.6%
Applied egg-rr30.6%
*-commutative30.6%
associate-*l*30.6%
metadata-eval30.6%
pow-sqr30.6%
rem-sqrt-square32.2%
Simplified32.2%
expm1-log1p-u26.6%
expm1-udef25.4%
Applied egg-rr25.4%
expm1-def26.6%
expm1-log1p32.2%
metadata-eval32.2%
pow-sqr32.2%
unpow-132.2%
unpow-132.2%
fabs-sqr32.2%
unpow-132.2%
unpow-132.2%
pow-sqr32.2%
metadata-eval32.2%
Simplified32.2%
Final simplification32.2%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (pow (* (sqrt (/ 2.0 t_m)) (* l (pow k -2.0))) 2.0)))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * pow((sqrt((2.0 / t_m)) * (l * pow(k, -2.0))), 2.0);
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((sqrt((2.0d0 / t_m)) * (l * (k ** (-2.0d0)))) ** 2.0d0)
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * Math.pow((Math.sqrt((2.0 / t_m)) * (l * Math.pow(k, -2.0))), 2.0);
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * math.pow((math.sqrt((2.0 / t_m)) * (l * math.pow(k, -2.0))), 2.0)
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * (Float64(sqrt(Float64(2.0 / t_m)) * Float64(l * (k ^ -2.0))) ^ 2.0)) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((sqrt((2.0 / t_m)) * (l * (k ^ -2.0))) ^ 2.0); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[Power[N[(N[Sqrt[N[(2.0 / t$95$m), $MachinePrecision]], $MachinePrecision] * N[(l * N[Power[k, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot {\left(\sqrt{\frac{2}{t_m}} \cdot \left(\ell \cdot {k}^{-2}\right)\right)}^{2}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
add-sqr-sqrt44.6%
pow244.6%
sqrt-prod28.9%
div-inv28.9%
sqrt-prod29.2%
sqrt-prod13.2%
add-sqr-sqrt30.6%
pow-flip30.6%
metadata-eval30.6%
Applied egg-rr30.6%
*-commutative30.6%
associate-*l*30.6%
metadata-eval30.6%
pow-sqr30.6%
rem-sqrt-square32.2%
Simplified32.2%
expm1-log1p-u26.6%
expm1-udef25.4%
Applied egg-rr25.4%
expm1-def26.6%
expm1-log1p32.2%
associate-*r*32.1%
*-commutative32.1%
metadata-eval32.1%
pow-sqr32.1%
unpow-132.1%
unpow-132.1%
fabs-sqr32.1%
unpow-132.1%
unpow-132.1%
pow-sqr32.1%
metadata-eval32.1%
Simplified32.1%
Final simplification32.1%
t_m = (fabs.f64 t)
t_s = (copysign.f64 1 t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 11000.0)
(/ 2.0 (/ (* t_m (pow k 4.0)) (pow l 2.0)))
(* 2.0 (* (/ (/ (pow l 2.0) (pow k 2.0)) t_m) -0.16666666666666666)))))t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 11000.0) {
tmp = 2.0 / ((t_m * pow(k, 4.0)) / pow(l, 2.0));
} else {
tmp = 2.0 * (((pow(l, 2.0) / pow(k, 2.0)) / t_m) * -0.16666666666666666);
}
return t_s * tmp;
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
real(8) :: tmp
if (k <= 11000.0d0) then
tmp = 2.0d0 / ((t_m * (k ** 4.0d0)) / (l ** 2.0d0))
else
tmp = 2.0d0 * ((((l ** 2.0d0) / (k ** 2.0d0)) / t_m) * (-0.16666666666666666d0))
end if
code = t_s * tmp
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
double tmp;
if (k <= 11000.0) {
tmp = 2.0 / ((t_m * Math.pow(k, 4.0)) / Math.pow(l, 2.0));
} else {
tmp = 2.0 * (((Math.pow(l, 2.0) / Math.pow(k, 2.0)) / t_m) * -0.16666666666666666);
}
return t_s * tmp;
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): tmp = 0 if k <= 11000.0: tmp = 2.0 / ((t_m * math.pow(k, 4.0)) / math.pow(l, 2.0)) else: tmp = 2.0 * (((math.pow(l, 2.0) / math.pow(k, 2.0)) / t_m) * -0.16666666666666666) return t_s * tmp
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) tmp = 0.0 if (k <= 11000.0) tmp = Float64(2.0 / Float64(Float64(t_m * (k ^ 4.0)) / (l ^ 2.0))); else tmp = Float64(2.0 * Float64(Float64(Float64((l ^ 2.0) / (k ^ 2.0)) / t_m) * -0.16666666666666666)); end return Float64(t_s * tmp) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k) tmp = 0.0; if (k <= 11000.0) tmp = 2.0 / ((t_m * (k ^ 4.0)) / (l ^ 2.0)); else tmp = 2.0 * ((((l ^ 2.0) / (k ^ 2.0)) / t_m) * -0.16666666666666666); end tmp_2 = t_s * tmp; end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * If[LessEqual[k, 11000.0], N[(2.0 / N[(N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 * N[(N[(N[(N[Power[l, 2.0], $MachinePrecision] / N[Power[k, 2.0], $MachinePrecision]), $MachinePrecision] / t$95$m), $MachinePrecision] * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \begin{array}{l}
\mathbf{if}\;k \leq 11000:\\
\;\;\;\;\frac{2}{\frac{t_m \cdot {k}^{4}}{{\ell}^{2}}}\\
\mathbf{else}:\\
\;\;\;\;2 \cdot \left(\frac{\frac{{\ell}^{2}}{{k}^{2}}}{t_m} \cdot -0.16666666666666666\right)\\
\end{array}
\end{array}
if k < 11000Initial program 39.2%
Taylor expanded in k around 0 66.4%
if 11000 < k Initial program 31.3%
associate-/r*31.3%
*-commutative31.3%
associate-*l*31.3%
associate-*l/31.3%
+-commutative31.3%
unpow231.3%
sqr-neg31.3%
distribute-frac-neg31.3%
distribute-frac-neg31.3%
unpow231.3%
associate--l+41.0%
metadata-eval41.0%
+-rgt-identity41.0%
unpow241.0%
distribute-frac-neg41.0%
distribute-frac-neg41.0%
Simplified41.0%
Taylor expanded in k around inf 78.6%
times-frac78.8%
Simplified78.8%
Taylor expanded in k around 0 64.4%
associate-*r/64.4%
metadata-eval64.4%
Simplified64.4%
Taylor expanded in k around inf 64.3%
*-commutative64.3%
associate-/r*64.4%
Simplified64.4%
Final simplification65.8%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ 2.0 (/ (* t_m (pow k 4.0)) (pow l 2.0)))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((t_m * pow(k, 4.0)) / pow(l, 2.0)));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * (2.0d0 / ((t_m * (k ** 4.0d0)) / (l ** 2.0d0)))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * (2.0 / ((t_m * Math.pow(k, 4.0)) / Math.pow(l, 2.0)));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * (2.0 / ((t_m * math.pow(k, 4.0)) / math.pow(l, 2.0)))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(2.0 / Float64(Float64(t_m * (k ^ 4.0)) / (l ^ 2.0)))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * (2.0 / ((t_m * (k ^ 4.0)) / (l ^ 2.0))); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(2.0 / N[(N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision] / N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \frac{2}{\frac{t_m \cdot {k}^{4}}{{\ell}^{2}}}
\end{array}
Initial program 36.9%
Taylor expanded in k around 0 65.1%
Final simplification65.1%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (/ (* 2.0 (pow l 2.0)) (* t_m (pow k 4.0)))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 * pow(l, 2.0)) / (t_m * pow(k, 4.0)));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((2.0d0 * (l ** 2.0d0)) / (t_m * (k ** 4.0d0)))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((2.0 * Math.pow(l, 2.0)) / (t_m * Math.pow(k, 4.0)));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((2.0 * math.pow(l, 2.0)) / (t_m * math.pow(k, 4.0)))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(2.0 * (l ^ 2.0)) / Float64(t_m * (k ^ 4.0)))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((2.0 * (l ^ 2.0)) / (t_m * (k ^ 4.0))); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(2.0 * N[Power[l, 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[Power[k, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \frac{2 \cdot {\ell}^{2}}{t_m \cdot {k}^{4}}
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
frac-times65.1%
Applied egg-rr65.1%
Final simplification65.1%
t_m = (fabs.f64 t) t_s = (copysign.f64 1 t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* (* l l) (* (/ 2.0 t_m) (pow k -4.0)))))
t_m = fabs(t);
t_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
return t_s * ((l * l) * ((2.0 / t_m) * pow(k, -4.0)));
}
t_m = abs(t)
t_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k
code = t_s * ((l * l) * ((2.0d0 / t_m) * (k ** (-4.0d0))))
end function
t_m = Math.abs(t);
t_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k) {
return t_s * ((l * l) * ((2.0 / t_m) * Math.pow(k, -4.0)));
}
t_m = math.fabs(t) t_s = math.copysign(1.0, t) def code(t_s, t_m, l, k): return t_s * ((l * l) * ((2.0 / t_m) * math.pow(k, -4.0)))
t_m = abs(t) t_s = copysign(1.0, t) function code(t_s, t_m, l, k) return Float64(t_s * Float64(Float64(l * l) * Float64(Float64(2.0 / t_m) * (k ^ -4.0)))) end
t_m = abs(t); t_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k) tmp = t_s * ((l * l) * ((2.0 / t_m) * (k ^ -4.0))); end
t_m = N[Abs[t], $MachinePrecision]
t_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k_] := N[(t$95$s * N[(N[(l * l), $MachinePrecision] * N[(N[(2.0 / t$95$m), $MachinePrecision] * N[Power[k, -4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
t_m = \left|t\right|
\\
t_s = \mathsf{copysign}\left(1, t\right)
\\
t_s \cdot \left(\left(\ell \cdot \ell\right) \cdot \left(\frac{2}{t_m} \cdot {k}^{-4}\right)\right)
\end{array}
Initial program 36.9%
associate-/r*36.9%
*-commutative36.9%
associate-*l*36.9%
associate-*l/36.9%
+-commutative36.9%
unpow236.9%
sqr-neg36.9%
distribute-frac-neg36.9%
distribute-frac-neg36.9%
unpow236.9%
associate--l+45.6%
metadata-eval45.6%
+-rgt-identity45.6%
unpow245.6%
distribute-frac-neg45.6%
distribute-frac-neg45.6%
Simplified45.6%
Taylor expanded in k around 0 65.1%
associate-*r/65.1%
*-commutative65.1%
times-frac65.1%
Simplified65.1%
expm1-log1p-u44.7%
expm1-udef44.6%
*-commutative44.6%
div-inv44.6%
pow-flip44.6%
metadata-eval44.6%
Applied egg-rr44.6%
expm1-def44.7%
expm1-log1p65.1%
associate-*l*65.1%
Simplified65.1%
unpow265.1%
Applied egg-rr65.1%
Final simplification65.1%
herbie shell --seed 2023331
(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))))