
(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 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (t l k) :precision binary64 (/ 2.0 (* (* (* (/ (pow t 3.0) (* l l)) (sin k)) (tan k)) (- (+ 1.0 (pow (/ k t) 2.0)) 1.0))))
double code(double t, double l, double k) {
return 2.0 / ((((pow(t, 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + pow((k / t), 2.0)) - 1.0));
}
real(8) function code(t, l, k)
real(8), intent (in) :: t
real(8), intent (in) :: l
real(8), intent (in) :: k
code = 2.0d0 / (((((t ** 3.0d0) / (l * l)) * sin(k)) * tan(k)) * ((1.0d0 + ((k / t) ** 2.0d0)) - 1.0d0))
end function
public static double code(double t, double l, double k) {
return 2.0 / ((((Math.pow(t, 3.0) / (l * l)) * Math.sin(k)) * Math.tan(k)) * ((1.0 + Math.pow((k / t), 2.0)) - 1.0));
}
def code(t, l, k): return 2.0 / ((((math.pow(t, 3.0) / (l * l)) * math.sin(k)) * math.tan(k)) * ((1.0 + math.pow((k / t), 2.0)) - 1.0))
function code(t, l, k) return Float64(2.0 / Float64(Float64(Float64(Float64((t ^ 3.0) / Float64(l * l)) * sin(k)) * tan(k)) * Float64(Float64(1.0 + (Float64(k / t) ^ 2.0)) - 1.0))) end
function tmp = code(t, l, k) tmp = 2.0 / (((((t ^ 3.0) / (l * l)) * sin(k)) * tan(k)) * ((1.0 + ((k / t) ^ 2.0)) - 1.0)); end
code[t_, l_, k_] := N[(2.0 / N[(N[(N[(N[(N[Power[t, 3.0], $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision] * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(k / t), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{2}{\left(\left(\frac{{t}^{3}}{\ell \cdot \ell} \cdot \sin k\right) \cdot \tan k\right) \cdot \left(\left(1 + {\left(\frac{k}{t}\right)}^{2}\right) - 1\right)}
\end{array}
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(let* ((t_2 (/ t_m (cos k_m))) (t_3 (* k_m (/ (sin k_m) l))))
(*
t_s
(if (<= k_m 1e-8)
(* 2.0 (pow (* t_3 (sqrt t_2)) -2.0))
(/ (/ 2.0 (pow t_3 2.0)) t_2)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double t_2 = t_m / cos(k_m);
double t_3 = k_m * (sin(k_m) / l);
double tmp;
if (k_m <= 1e-8) {
tmp = 2.0 * pow((t_3 * sqrt(t_2)), -2.0);
} else {
tmp = (2.0 / pow(t_3, 2.0)) / t_2;
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = t_m / cos(k_m)
t_3 = k_m * (sin(k_m) / l)
if (k_m <= 1d-8) then
tmp = 2.0d0 * ((t_3 * sqrt(t_2)) ** (-2.0d0))
else
tmp = (2.0d0 / (t_3 ** 2.0d0)) / t_2
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double t_2 = t_m / Math.cos(k_m);
double t_3 = k_m * (Math.sin(k_m) / l);
double tmp;
if (k_m <= 1e-8) {
tmp = 2.0 * Math.pow((t_3 * Math.sqrt(t_2)), -2.0);
} else {
tmp = (2.0 / Math.pow(t_3, 2.0)) / t_2;
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): t_2 = t_m / math.cos(k_m) t_3 = k_m * (math.sin(k_m) / l) tmp = 0 if k_m <= 1e-8: tmp = 2.0 * math.pow((t_3 * math.sqrt(t_2)), -2.0) else: tmp = (2.0 / math.pow(t_3, 2.0)) / t_2 return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) t_2 = Float64(t_m / cos(k_m)) t_3 = Float64(k_m * Float64(sin(k_m) / l)) tmp = 0.0 if (k_m <= 1e-8) tmp = Float64(2.0 * (Float64(t_3 * sqrt(t_2)) ^ -2.0)); else tmp = Float64(Float64(2.0 / (t_3 ^ 2.0)) / t_2); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) t_2 = t_m / cos(k_m); t_3 = k_m * (sin(k_m) / l); tmp = 0.0; if (k_m <= 1e-8) tmp = 2.0 * ((t_3 * sqrt(t_2)) ^ -2.0); else tmp = (2.0 / (t_3 ^ 2.0)) / t_2; end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := Block[{t$95$2 = N[(t$95$m / N[Cos[k$95$m], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(k$95$m * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[k$95$m, 1e-8], N[(2.0 * N[Power[N[(t$95$3 * N[Sqrt[t$95$2], $MachinePrecision]), $MachinePrecision], -2.0], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[Power[t$95$3, 2.0], $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]]), $MachinePrecision]]]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{t\_m}{\cos k\_m}\\
t_3 := k\_m \cdot \frac{\sin k\_m}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 10^{-8}:\\
\;\;\;\;2 \cdot {\left(t\_3 \cdot \sqrt{t\_2}\right)}^{-2}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{2}{{t\_3}^{2}}}{t\_2}\\
\end{array}
\end{array}
\end{array}
if k < 1e-8Initial program 40.2%
*-commutative40.2%
associate-/r*40.2%
Simplified45.9%
+-rgt-identity45.9%
associate-/l/45.9%
div-inv45.9%
+-rgt-identity45.9%
metadata-eval45.9%
metadata-eval45.9%
associate-+l+40.2%
sub-neg40.2%
+-commutative40.2%
add-sqr-sqrt20.4%
Applied egg-rr33.6%
associate-*r/33.6%
metadata-eval33.6%
*-commutative33.6%
associate-*l*33.6%
Simplified33.6%
Taylor expanded in k around inf 51.0%
associate-*l/51.0%
associate-/l*50.0%
Simplified50.0%
div-inv50.0%
pow-flip50.5%
metadata-eval50.5%
Applied egg-rr50.5%
associate-*r/51.5%
associate-*l/51.5%
associate-/l*52.5%
Simplified52.5%
if 1e-8 < k Initial program 31.7%
*-commutative31.7%
associate-/r*31.7%
Simplified50.5%
+-rgt-identity50.5%
associate-/l/50.6%
div-inv50.6%
+-rgt-identity50.6%
metadata-eval50.6%
metadata-eval50.6%
associate-+l+31.7%
sub-neg31.7%
+-commutative31.7%
add-sqr-sqrt12.6%
Applied egg-rr29.8%
associate-*r/29.8%
metadata-eval29.8%
*-commutative29.8%
associate-*l*29.9%
Simplified29.9%
Taylor expanded in k around inf 46.8%
associate-*l/45.0%
associate-/l*46.9%
Simplified46.9%
add-sqr-sqrt46.8%
sqrt-div46.9%
sqrt-pow139.4%
metadata-eval39.4%
pow139.4%
sqrt-div39.3%
sqrt-pow146.7%
metadata-eval46.7%
pow146.7%
Applied egg-rr46.7%
unpow246.7%
associate-*r/45.0%
associate-*l/46.7%
associate-/l*46.8%
Simplified46.8%
unpow246.8%
associate-/r*46.9%
associate-/r*46.8%
frac-times43.3%
add-sqr-sqrt94.8%
Applied egg-rr94.8%
associate-*l/94.8%
associate-*r/94.6%
rem-square-sqrt94.9%
associate-/l/95.0%
unpow295.0%
Simplified95.0%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 1.55e-33)
(/ 2.0 (pow (* (* k_m (/ k_m l)) (sqrt t_m)) 2.0))
(/ (/ 2.0 (pow (* k_m (/ (sin k_m) l)) 2.0)) (/ t_m (cos k_m))))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.55e-33) {
tmp = 2.0 / pow(((k_m * (k_m / l)) * sqrt(t_m)), 2.0);
} else {
tmp = (2.0 / pow((k_m * (sin(k_m) / l)), 2.0)) / (t_m / cos(k_m));
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 1.55d-33) then
tmp = 2.0d0 / (((k_m * (k_m / l)) * sqrt(t_m)) ** 2.0d0)
else
tmp = (2.0d0 / ((k_m * (sin(k_m) / l)) ** 2.0d0)) / (t_m / cos(k_m))
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 1.55e-33) {
tmp = 2.0 / Math.pow(((k_m * (k_m / l)) * Math.sqrt(t_m)), 2.0);
} else {
tmp = (2.0 / Math.pow((k_m * (Math.sin(k_m) / l)), 2.0)) / (t_m / Math.cos(k_m));
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if k_m <= 1.55e-33: tmp = 2.0 / math.pow(((k_m * (k_m / l)) * math.sqrt(t_m)), 2.0) else: tmp = (2.0 / math.pow((k_m * (math.sin(k_m) / l)), 2.0)) / (t_m / math.cos(k_m)) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 1.55e-33) tmp = Float64(2.0 / (Float64(Float64(k_m * Float64(k_m / l)) * sqrt(t_m)) ^ 2.0)); else tmp = Float64(Float64(2.0 / (Float64(k_m * Float64(sin(k_m) / l)) ^ 2.0)) / Float64(t_m / cos(k_m))); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (k_m <= 1.55e-33) tmp = 2.0 / (((k_m * (k_m / l)) * sqrt(t_m)) ^ 2.0); else tmp = (2.0 / ((k_m * (sin(k_m) / l)) ^ 2.0)) / (t_m / cos(k_m)); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 1.55e-33], N[(2.0 / N[Power[N[(N[(k$95$m * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(N[(2.0 / N[Power[N[(k$95$m * N[(N[Sin[k$95$m], $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$m / N[Cos[k$95$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 \begin{array}{l}
\mathbf{if}\;k\_m \leq 1.55 \cdot 10^{-33}:\\
\;\;\;\;\frac{2}{{\left(\left(k\_m \cdot \frac{k\_m}{\ell}\right) \cdot \sqrt{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{2}{{\left(k\_m \cdot \frac{\sin k\_m}{\ell}\right)}^{2}}}{\frac{t\_m}{\cos k\_m}}\\
\end{array}
\end{array}
if k < 1.54999999999999998e-33Initial program 40.8%
*-commutative40.8%
associate-/r*40.8%
Simplified46.6%
+-rgt-identity46.6%
associate-/l/46.6%
div-inv46.6%
+-rgt-identity46.6%
metadata-eval46.6%
metadata-eval46.6%
associate-+l+40.8%
sub-neg40.8%
+-commutative40.8%
add-sqr-sqrt20.7%
Applied egg-rr34.1%
associate-*r/34.1%
metadata-eval34.1%
*-commutative34.1%
associate-*l*34.1%
Simplified34.1%
Taylor expanded in k around 0 40.6%
unpow240.6%
add-sqr-sqrt21.2%
times-frac21.6%
Applied egg-rr21.6%
unpow221.6%
Simplified21.6%
unpow221.6%
frac-times21.2%
add-sqr-sqrt40.6%
associate-*r/41.5%
*-commutative41.5%
Applied egg-rr41.5%
if 1.54999999999999998e-33 < k Initial program 30.0%
*-commutative30.0%
associate-/r*30.0%
Simplified47.8%
+-rgt-identity47.8%
associate-/l/47.9%
div-inv47.9%
+-rgt-identity47.9%
metadata-eval47.9%
metadata-eval47.9%
associate-+l+30.0%
sub-neg30.0%
+-commutative30.0%
add-sqr-sqrt11.9%
Applied egg-rr28.4%
associate-*r/28.4%
metadata-eval28.4%
*-commutative28.4%
associate-*l*28.4%
Simplified28.4%
Taylor expanded in k around inf 46.1%
associate-*l/44.4%
associate-/l*46.2%
Simplified46.2%
add-sqr-sqrt46.1%
sqrt-div46.1%
sqrt-pow137.4%
metadata-eval37.4%
pow137.4%
sqrt-div37.3%
sqrt-pow146.0%
metadata-eval46.0%
pow146.0%
Applied egg-rr46.0%
unpow246.0%
associate-*r/44.3%
associate-*l/45.9%
associate-/l*46.0%
Simplified46.0%
unpow246.0%
associate-/r*46.1%
associate-/r*46.0%
frac-times42.8%
add-sqr-sqrt95.0%
Applied egg-rr95.0%
associate-*l/95.0%
associate-*r/94.9%
rem-square-sqrt95.1%
associate-/l/95.2%
unpow295.2%
Simplified95.2%
Final simplification53.2%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 4.9)
(/ 2.0 (pow (* (* k_m (/ k_m l)) (sqrt t_m)) 2.0))
(/ 2.0 (pow (* (* k_m (sin k_m)) (* (sqrt t_m) (/ 1.0 l))) 2.0)))))k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 4.9) {
tmp = 2.0 / pow(((k_m * (k_m / l)) * sqrt(t_m)), 2.0);
} else {
tmp = 2.0 / pow(((k_m * sin(k_m)) * (sqrt(t_m) * (1.0 / l))), 2.0);
}
return t_s * tmp;
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
real(8) :: tmp
if (k_m <= 4.9d0) then
tmp = 2.0d0 / (((k_m * (k_m / l)) * sqrt(t_m)) ** 2.0d0)
else
tmp = 2.0d0 / (((k_m * sin(k_m)) * (sqrt(t_m) * (1.0d0 / l))) ** 2.0d0)
end if
code = t_s * tmp
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
double tmp;
if (k_m <= 4.9) {
tmp = 2.0 / Math.pow(((k_m * (k_m / l)) * Math.sqrt(t_m)), 2.0);
} else {
tmp = 2.0 / Math.pow(((k_m * Math.sin(k_m)) * (Math.sqrt(t_m) * (1.0 / l))), 2.0);
}
return t_s * tmp;
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): tmp = 0 if k_m <= 4.9: tmp = 2.0 / math.pow(((k_m * (k_m / l)) * math.sqrt(t_m)), 2.0) else: tmp = 2.0 / math.pow(((k_m * math.sin(k_m)) * (math.sqrt(t_m) * (1.0 / l))), 2.0) return t_s * tmp
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) tmp = 0.0 if (k_m <= 4.9) tmp = Float64(2.0 / (Float64(Float64(k_m * Float64(k_m / l)) * sqrt(t_m)) ^ 2.0)); else tmp = Float64(2.0 / (Float64(Float64(k_m * sin(k_m)) * Float64(sqrt(t_m) * Float64(1.0 / l))) ^ 2.0)); end return Float64(t_s * tmp) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, t_m, l, k_m) tmp = 0.0; if (k_m <= 4.9) tmp = 2.0 / (((k_m * (k_m / l)) * sqrt(t_m)) ^ 2.0); else tmp = 2.0 / (((k_m * sin(k_m)) * (sqrt(t_m) * (1.0 / l))) ^ 2.0); end tmp_2 = t_s * tmp; end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := N[(t$95$s * If[LessEqual[k$95$m, 4.9], N[(2.0 / N[Power[N[(N[(k$95$m * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$m], $MachinePrecision] * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;k\_m \leq 4.9:\\
\;\;\;\;\frac{2}{{\left(\left(k\_m \cdot \frac{k\_m}{\ell}\right) \cdot \sqrt{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(k\_m \cdot \sin k\_m\right) \cdot \left(\sqrt{t\_m} \cdot \frac{1}{\ell}\right)\right)}^{2}}\\
\end{array}
\end{array}
if k < 4.9000000000000004Initial program 40.2%
*-commutative40.2%
associate-/r*40.2%
Simplified45.9%
+-rgt-identity45.9%
associate-/l/45.9%
div-inv45.9%
+-rgt-identity45.9%
metadata-eval45.9%
metadata-eval45.9%
associate-+l+40.2%
sub-neg40.2%
+-commutative40.2%
add-sqr-sqrt20.4%
Applied egg-rr33.6%
associate-*r/33.6%
metadata-eval33.6%
*-commutative33.6%
associate-*l*33.6%
Simplified33.6%
Taylor expanded in k around 0 40.4%
unpow240.4%
add-sqr-sqrt20.9%
times-frac21.3%
Applied egg-rr21.3%
unpow221.3%
Simplified21.3%
unpow221.3%
frac-times20.9%
add-sqr-sqrt40.4%
associate-*r/41.4%
*-commutative41.4%
Applied egg-rr41.4%
if 4.9000000000000004 < k Initial program 31.7%
*-commutative31.7%
associate-/r*31.7%
Simplified50.5%
+-rgt-identity50.5%
associate-/l/50.6%
div-inv50.6%
+-rgt-identity50.6%
metadata-eval50.6%
metadata-eval50.6%
associate-+l+31.7%
sub-neg31.7%
+-commutative31.7%
add-sqr-sqrt12.6%
Applied egg-rr29.8%
associate-*r/29.8%
metadata-eval29.8%
*-commutative29.8%
associate-*l*29.9%
Simplified29.9%
Taylor expanded in k around inf 46.8%
associate-*l/45.0%
associate-/l*46.9%
Simplified46.9%
Taylor expanded in k around 0 36.3%
Final simplification40.3%
k_m = (fabs.f64 k)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k_m)
:precision binary64
(*
t_s
(if (<= k_m 4.9)
(/ 2.0 (pow (* (* k_m (/ k_m l)) (sqrt t_m)) 2.0))
(/ 2.0 (pow (* (* k_m (sin k_m)) (/ (sqrt 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 (k_m <= 4.9) {
tmp = 2.0 / pow(((k_m * (k_m / l)) * sqrt(t_m)), 2.0);
} else {
tmp = 2.0 / pow(((k_m * sin(k_m)) * (sqrt(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 (k_m <= 4.9d0) then
tmp = 2.0d0 / (((k_m * (k_m / l)) * sqrt(t_m)) ** 2.0d0)
else
tmp = 2.0d0 / (((k_m * sin(k_m)) * (sqrt(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 (k_m <= 4.9) {
tmp = 2.0 / Math.pow(((k_m * (k_m / l)) * Math.sqrt(t_m)), 2.0);
} else {
tmp = 2.0 / Math.pow(((k_m * Math.sin(k_m)) * (Math.sqrt(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 k_m <= 4.9: tmp = 2.0 / math.pow(((k_m * (k_m / l)) * math.sqrt(t_m)), 2.0) else: tmp = 2.0 / math.pow(((k_m * math.sin(k_m)) * (math.sqrt(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 (k_m <= 4.9) tmp = Float64(2.0 / (Float64(Float64(k_m * Float64(k_m / l)) * sqrt(t_m)) ^ 2.0)); else tmp = Float64(2.0 / (Float64(Float64(k_m * sin(k_m)) * Float64(sqrt(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 (k_m <= 4.9) tmp = 2.0 / (((k_m * (k_m / l)) * sqrt(t_m)) ^ 2.0); else tmp = 2.0 / (((k_m * sin(k_m)) * (sqrt(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[k$95$m, 4.9], N[(2.0 / N[Power[N[(N[(k$95$m * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision], N[(2.0 / N[Power[N[(N[(k$95$m * N[Sin[k$95$m], $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$m], $MachinePrecision] / l), $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 4.9:\\
\;\;\;\;\frac{2}{{\left(\left(k\_m \cdot \frac{k\_m}{\ell}\right) \cdot \sqrt{t\_m}\right)}^{2}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{{\left(\left(k\_m \cdot \sin k\_m\right) \cdot \frac{\sqrt{t\_m}}{\ell}\right)}^{2}}\\
\end{array}
\end{array}
if k < 4.9000000000000004Initial program 40.2%
*-commutative40.2%
associate-/r*40.2%
Simplified45.9%
+-rgt-identity45.9%
associate-/l/45.9%
div-inv45.9%
+-rgt-identity45.9%
metadata-eval45.9%
metadata-eval45.9%
associate-+l+40.2%
sub-neg40.2%
+-commutative40.2%
add-sqr-sqrt20.4%
Applied egg-rr33.6%
associate-*r/33.6%
metadata-eval33.6%
*-commutative33.6%
associate-*l*33.6%
Simplified33.6%
Taylor expanded in k around 0 40.4%
unpow240.4%
add-sqr-sqrt20.9%
times-frac21.3%
Applied egg-rr21.3%
unpow221.3%
Simplified21.3%
unpow221.3%
frac-times20.9%
add-sqr-sqrt40.4%
associate-*r/41.4%
*-commutative41.4%
Applied egg-rr41.4%
if 4.9000000000000004 < k Initial program 31.7%
*-commutative31.7%
associate-/r*31.7%
Simplified50.5%
+-rgt-identity50.5%
associate-/l/50.6%
div-inv50.6%
+-rgt-identity50.6%
metadata-eval50.6%
metadata-eval50.6%
associate-+l+31.7%
sub-neg31.7%
+-commutative31.7%
add-sqr-sqrt12.6%
Applied egg-rr29.8%
associate-*r/29.8%
metadata-eval29.8%
*-commutative29.8%
associate-*l*29.9%
Simplified29.9%
Taylor expanded in k around inf 46.8%
associate-*l/45.0%
associate-/l*46.9%
Simplified46.9%
Taylor expanded in k around 0 36.3%
associate-*l/36.3%
*-lft-identity36.3%
Simplified36.3%
Final simplification40.3%
k_m = (fabs.f64 k) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (/ 2.0 (pow (* (* k_m (/ k_m 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) {
return t_s * (2.0 / pow(((k_m * (k_m / l)) * sqrt(t_m)), 2.0));
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = t_s * (2.0d0 / (((k_m * (k_m / l)) * sqrt(t_m)) ** 2.0d0))
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
return t_s * (2.0 / Math.pow(((k_m * (k_m / l)) * Math.sqrt(t_m)), 2.0));
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): return t_s * (2.0 / math.pow(((k_m * (k_m / l)) * math.sqrt(t_m)), 2.0))
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) return Float64(t_s * Float64(2.0 / (Float64(Float64(k_m * Float64(k_m / l)) * sqrt(t_m)) ^ 2.0))) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k_m) tmp = t_s * (2.0 / (((k_m * (k_m / l)) * sqrt(t_m)) ^ 2.0)); end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := N[(t$95$s * N[(2.0 / N[Power[N[(N[(k$95$m * N[(k$95$m / l), $MachinePrecision]), $MachinePrecision] * N[Sqrt[t$95$m], $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \frac{2}{{\left(\left(k\_m \cdot \frac{k\_m}{\ell}\right) \cdot \sqrt{t\_m}\right)}^{2}}
\end{array}
Initial program 38.4%
*-commutative38.4%
associate-/r*38.4%
Simplified46.8%
+-rgt-identity46.8%
associate-/l/46.9%
div-inv46.9%
+-rgt-identity46.9%
metadata-eval46.9%
metadata-eval46.9%
associate-+l+38.4%
sub-neg38.4%
+-commutative38.4%
add-sqr-sqrt18.8%
Applied egg-rr32.8%
associate-*r/32.8%
metadata-eval32.8%
*-commutative32.8%
associate-*l*32.9%
Simplified32.9%
Taylor expanded in k around 0 39.2%
unpow239.2%
add-sqr-sqrt20.1%
times-frac20.5%
Applied egg-rr20.5%
unpow220.5%
Simplified20.5%
unpow220.5%
frac-times20.1%
add-sqr-sqrt39.2%
associate-*r/39.9%
*-commutative39.9%
Applied egg-rr39.9%
Final simplification39.9%
k_m = (fabs.f64 k) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (/ (/ 2.0 t_m) (pow (/ k_m (sqrt l)) 4.0))))
k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
return t_s * ((2.0 / t_m) / pow((k_m / sqrt(l)), 4.0));
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = t_s * ((2.0d0 / t_m) / ((k_m / sqrt(l)) ** 4.0d0))
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
return t_s * ((2.0 / t_m) / Math.pow((k_m / Math.sqrt(l)), 4.0));
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): return t_s * ((2.0 / t_m) / math.pow((k_m / math.sqrt(l)), 4.0))
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) return Float64(t_s * Float64(Float64(2.0 / t_m) / (Float64(k_m / sqrt(l)) ^ 4.0))) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k_m) tmp = t_s * ((2.0 / t_m) / ((k_m / sqrt(l)) ^ 4.0)); end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := N[(t$95$s * N[(N[(2.0 / t$95$m), $MachinePrecision] / N[Power[N[(k$95$m / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], 4.0], $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 \frac{\frac{2}{t\_m}}{{\left(\frac{k\_m}{\sqrt{\ell}}\right)}^{4}}
\end{array}
Initial program 38.4%
*-commutative38.4%
associate-/r*38.4%
Simplified46.8%
+-rgt-identity46.8%
associate-/l/46.9%
div-inv46.9%
+-rgt-identity46.9%
metadata-eval46.9%
metadata-eval46.9%
associate-+l+38.4%
sub-neg38.4%
+-commutative38.4%
add-sqr-sqrt18.8%
Applied egg-rr32.8%
associate-*r/32.8%
metadata-eval32.8%
*-commutative32.8%
associate-*l*32.9%
Simplified32.9%
Taylor expanded in k around 0 39.2%
unpow239.2%
*-un-lft-identity39.2%
metadata-eval39.2%
times-frac39.9%
metadata-eval39.9%
Applied egg-rr39.9%
*-un-lft-identity39.9%
add-sqr-sqrt39.9%
pow239.9%
Applied egg-rr37.1%
*-lft-identity37.1%
associate-/r*37.5%
Simplified37.5%
k_m = (fabs.f64 k) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (/ 2.0 (* t_m (pow (/ k_m (sqrt l)) 4.0)))))
k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
return t_s * (2.0 / (t_m * pow((k_m / sqrt(l)), 4.0)));
}
k_m = abs(k)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, t_m, l, k_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: t_m
real(8), intent (in) :: l
real(8), intent (in) :: k_m
code = t_s * (2.0d0 / (t_m * ((k_m / sqrt(l)) ** 4.0d0)))
end function
k_m = Math.abs(k);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double t_m, double l, double k_m) {
return t_s * (2.0 / (t_m * Math.pow((k_m / Math.sqrt(l)), 4.0)));
}
k_m = math.fabs(k) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, t_m, l, k_m): return t_s * (2.0 / (t_m * math.pow((k_m / math.sqrt(l)), 4.0)))
k_m = abs(k) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k_m) return Float64(t_s * Float64(2.0 / Float64(t_m * (Float64(k_m / sqrt(l)) ^ 4.0)))) end
k_m = abs(k); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, t_m, l, k_m) tmp = t_s * (2.0 / (t_m * ((k_m / sqrt(l)) ^ 4.0))); end
k_m = N[Abs[k], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, t$95$m_, l_, k$95$m_] := N[(t$95$s * N[(2.0 / N[(t$95$m * N[Power[N[(k$95$m / N[Sqrt[l], $MachinePrecision]), $MachinePrecision], 4.0], $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 \frac{2}{t\_m \cdot {\left(\frac{k\_m}{\sqrt{\ell}}\right)}^{4}}
\end{array}
Initial program 38.4%
*-commutative38.4%
associate-/r*38.4%
Simplified46.8%
+-rgt-identity46.8%
associate-/l/46.9%
div-inv46.9%
+-rgt-identity46.9%
metadata-eval46.9%
metadata-eval46.9%
associate-+l+38.4%
sub-neg38.4%
+-commutative38.4%
add-sqr-sqrt18.8%
Applied egg-rr32.8%
associate-*r/32.8%
metadata-eval32.8%
*-commutative32.8%
associate-*l*32.9%
Simplified32.9%
Taylor expanded in k around 0 39.2%
unpow239.2%
*-un-lft-identity39.2%
metadata-eval39.2%
times-frac39.9%
metadata-eval39.9%
Applied egg-rr39.9%
unpow-prod-down37.9%
frac-times37.9%
*-un-lft-identity37.9%
add-sqr-sqrt19.2%
frac-times19.2%
unpow219.2%
pow219.2%
add-sqr-sqrt37.1%
pow-pow37.1%
metadata-eval37.1%
Applied egg-rr37.1%
Final simplification37.1%
k_m = (fabs.f64 k) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k_m) :precision binary64 (* t_s (* (* (/ 2.0 t_m) (pow k_m -4.0)) (* l l))))
k_m = fabs(k);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k_m) {
return t_s * (((2.0 / t_m) * pow(k_m, -4.0)) * (l * l));
}
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 / t_m) * (k_m ** (-4.0d0))) * (l * l))
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 / t_m) * Math.pow(k_m, -4.0)) * (l * l));
}
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 / t_m) * math.pow(k_m, -4.0)) * (l * l))
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(Float64(2.0 / t_m) * (k_m ^ -4.0)) * Float64(l * l))) 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 / t_m) * (k_m ^ -4.0)) * (l * l)); 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[(N[(2.0 / t$95$m), $MachinePrecision] * N[Power[k$95$m, -4.0], $MachinePrecision]), $MachinePrecision] * N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
k_m = \left|k\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(\left(\frac{2}{t\_m} \cdot {k\_m}^{-4}\right) \cdot \left(\ell \cdot \ell\right)\right)
\end{array}
Initial program 38.4%
Simplified46.4%
Taylor expanded in k around 0 66.4%
*-commutative66.4%
associate-/r*66.4%
Simplified66.4%
div-inv66.4%
pow-flip66.4%
metadata-eval66.4%
Applied egg-rr66.4%
herbie shell --seed 2024103
(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))))