
(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 15 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 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ (sin k) l)))
(*
t_s
(if (<= t_m 5e+106)
(/
2.0
(/
(fma
(* t_2 (* t_m (* t_m (tan k))))
(* t_m 2.0)
(* (* (tan k) (* k t_2)) (* t_m k)))
l))
(/
2.0
(*
(* (tan k) (* (/ t_m l) (* (/ t_m l) (* t_m (sin k)))))
(+ 1.0 (+ 1.0 (pow (/ 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 t_2 = sin(k) / l;
double tmp;
if (t_m <= 5e+106) {
tmp = 2.0 / (fma((t_2 * (t_m * (t_m * tan(k)))), (t_m * 2.0), ((tan(k) * (k * t_2)) * (t_m * k))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m / l) * (t_m * sin(k))))) * (1.0 + (1.0 + pow((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) t_2 = Float64(sin(k) / l) tmp = 0.0 if (t_m <= 5e+106) tmp = Float64(2.0 / Float64(fma(Float64(t_2 * Float64(t_m * Float64(t_m * tan(k)))), Float64(t_m * 2.0), Float64(Float64(tan(k) * Float64(k * t_2)) * Float64(t_m * k))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m / l) * Float64(t_m * sin(k))))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(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_] := Block[{t$95$2 = N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5e+106], N[(2.0 / N[(N[(N[(t$95$2 * N[(t$95$m * N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * 2.0), $MachinePrecision] + N[(N[(N[Tan[k], $MachinePrecision] * N[(k * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $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)
\\
\begin{array}{l}
t_2 := \frac{\sin k}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5 \cdot 10^{+106}:\\
\;\;\;\;\frac{2}{\frac{\mathsf{fma}\left(t\_2 \cdot \left(t\_m \cdot \left(t\_m \cdot \tan k\right)\right), t\_m \cdot 2, \left(\tan k \cdot \left(k \cdot t\_2\right)\right) \cdot \left(t\_m \cdot k\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \sin k\right)\right)\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 4.9999999999999998e106Initial program 55.7%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites48.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.4%
Applied rewrites87.1%
Applied rewrites93.8%
if 4.9999999999999998e106 < t Initial program 63.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6484.4
Applied rewrites84.4%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6490.3
Applied rewrites90.3%
Final simplification93.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ (sin k) l)))
(*
t_s
(if (<= t_m 5e+106)
(/
2.0
(/
(fma
(* t_m (* (tan k) (* k t_2)))
k
(* t_m (* (* t_m (* t_m (tan k))) (* 2.0 t_2))))
l))
(/
2.0
(*
(* (tan k) (* (/ t_m l) (* (/ t_m l) (* t_m (sin k)))))
(+ 1.0 (+ 1.0 (pow (/ 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 t_2 = sin(k) / l;
double tmp;
if (t_m <= 5e+106) {
tmp = 2.0 / (fma((t_m * (tan(k) * (k * t_2))), k, (t_m * ((t_m * (t_m * tan(k))) * (2.0 * t_2)))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m / l) * (t_m * sin(k))))) * (1.0 + (1.0 + pow((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) t_2 = Float64(sin(k) / l) tmp = 0.0 if (t_m <= 5e+106) tmp = Float64(2.0 / Float64(fma(Float64(t_m * Float64(tan(k) * Float64(k * t_2))), k, Float64(t_m * Float64(Float64(t_m * Float64(t_m * tan(k))) * Float64(2.0 * t_2)))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m / l) * Float64(t_m * sin(k))))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(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_] := Block[{t$95$2 = N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5e+106], N[(2.0 / N[(N[(N[(t$95$m * N[(N[Tan[k], $MachinePrecision] * N[(k * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * k + N[(t$95$m * N[(N[(t$95$m * N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(2.0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $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)
\\
\begin{array}{l}
t_2 := \frac{\sin k}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5 \cdot 10^{+106}:\\
\;\;\;\;\frac{2}{\frac{\mathsf{fma}\left(t\_m \cdot \left(\tan k \cdot \left(k \cdot t\_2\right)\right), k, t\_m \cdot \left(\left(t\_m \cdot \left(t\_m \cdot \tan k\right)\right) \cdot \left(2 \cdot t\_2\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \sin k\right)\right)\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 4.9999999999999998e106Initial program 55.7%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites48.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.4%
Applied rewrites87.1%
Applied rewrites93.8%
if 4.9999999999999998e106 < t Initial program 63.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6484.4
Applied rewrites84.4%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6490.3
Applied rewrites90.3%
Final simplification93.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ (sin k) l)))
(*
t_s
(if (<= t_m 5e+106)
(/
2.0
(/
(*
t_m
(fma (* t_2 (* t_m (* t_m (tan k)))) 2.0 (* (* k t_2) (* k (tan k)))))
l))
(/
2.0
(*
(* (tan k) (* (/ t_m l) (* (/ t_m l) (* t_m (sin k)))))
(+ 1.0 (+ 1.0 (pow (/ 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 t_2 = sin(k) / l;
double tmp;
if (t_m <= 5e+106) {
tmp = 2.0 / ((t_m * fma((t_2 * (t_m * (t_m * tan(k)))), 2.0, ((k * t_2) * (k * tan(k))))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m / l) * (t_m * sin(k))))) * (1.0 + (1.0 + pow((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) t_2 = Float64(sin(k) / l) tmp = 0.0 if (t_m <= 5e+106) tmp = Float64(2.0 / Float64(Float64(t_m * fma(Float64(t_2 * Float64(t_m * Float64(t_m * tan(k)))), 2.0, Float64(Float64(k * t_2) * Float64(k * tan(k))))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m / l) * Float64(t_m * sin(k))))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(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_] := Block[{t$95$2 = N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 5e+106], N[(2.0 / N[(N[(t$95$m * N[(N[(t$95$2 * N[(t$95$m * N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0 + N[(N[(k * t$95$2), $MachinePrecision] * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $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)
\\
\begin{array}{l}
t_2 := \frac{\sin k}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 5 \cdot 10^{+106}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(t\_2 \cdot \left(t\_m \cdot \left(t\_m \cdot \tan k\right)\right), 2, \left(k \cdot t\_2\right) \cdot \left(k \cdot \tan k\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \sin k\right)\right)\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 4.9999999999999998e106Initial program 55.7%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites48.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.4%
Applied rewrites87.1%
Applied rewrites88.8%
if 4.9999999999999998e106 < t Initial program 63.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6484.4
Applied rewrites84.4%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6490.3
Applied rewrites90.3%
Final simplification89.1%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (* (/ (sin k) l) (tan k))))
(*
t_s
(if (<= t_m 7.2e+105)
(/ 2.0 (/ (* t_m (fma k (* k t_2) (* 2.0 (* t_2 (* t_m t_m))))) l))
(/
2.0
(*
(* (tan k) (* (/ t_m l) (* (/ t_m l) (* t_m (sin k)))))
(+ 1.0 (+ 1.0 (pow (/ 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 t_2 = (sin(k) / l) * tan(k);
double tmp;
if (t_m <= 7.2e+105) {
tmp = 2.0 / ((t_m * fma(k, (k * t_2), (2.0 * (t_2 * (t_m * t_m))))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m / l) * (t_m * sin(k))))) * (1.0 + (1.0 + pow((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) t_2 = Float64(Float64(sin(k) / l) * tan(k)) tmp = 0.0 if (t_m <= 7.2e+105) tmp = Float64(2.0 / Float64(Float64(t_m * fma(k, Float64(k * t_2), Float64(2.0 * Float64(t_2 * Float64(t_m * t_m))))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m / l) * Float64(t_m * sin(k))))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(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_] := Block[{t$95$2 = N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 7.2e+105], N[(2.0 / N[(N[(t$95$m * N[(k * N[(k * t$95$2), $MachinePrecision] + N[(2.0 * N[(t$95$2 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $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)
\\
\begin{array}{l}
t_2 := \frac{\sin k}{\ell} \cdot \tan k\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 7.2 \cdot 10^{+105}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(k, k \cdot t\_2, 2 \cdot \left(t\_2 \cdot \left(t\_m \cdot t\_m\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \sin k\right)\right)\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 7.1999999999999998e105Initial program 55.7%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites48.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.4%
Applied rewrites87.1%
if 7.1999999999999998e105 < t Initial program 63.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6484.4
Applied rewrites84.4%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6490.3
Applied rewrites90.3%
Final simplification87.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.45e-99)
(/
2.0
(/
(*
t_m
(fma
k
(* k (* (/ (sin k) l) (tan k)))
(* 2.0 (/ (* k (* k (* t_m t_m))) l))))
l))
(/
2.0
(*
(* (tan k) (* (/ t_m l) (* (/ t_m l) (* t_m (sin k)))))
(+ 1.0 (+ 1.0 (pow (/ 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 (t_m <= 1.45e-99) {
tmp = 2.0 / ((t_m * fma(k, (k * ((sin(k) / l) * tan(k))), (2.0 * ((k * (k * (t_m * t_m))) / l)))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m / l) * (t_m * sin(k))))) * (1.0 + (1.0 + pow((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 (t_m <= 1.45e-99) tmp = Float64(2.0 / Float64(Float64(t_m * fma(k, Float64(k * Float64(Float64(sin(k) / l) * tan(k))), Float64(2.0 * Float64(Float64(k * Float64(k * Float64(t_m * t_m))) / l)))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m / l) * Float64(t_m * sin(k))))) * Float64(1.0 + Float64(1.0 + (Float64(k / t_m) ^ 2.0))))); end return Float64(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[t$95$m, 1.45e-99], N[(2.0 / N[(N[(t$95$m * N[(k * N[(k * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(N[(k * N[(k * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(1.0 + N[Power[N[(k / t$95$m), $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}\;t\_m \leq 1.45 \cdot 10^{-99}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(k, k \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right), 2 \cdot \frac{k \cdot \left(k \cdot \left(t\_m \cdot t\_m\right)\right)}{\ell}\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \left(\frac{t\_m}{\ell} \cdot \left(t\_m \cdot \sin k\right)\right)\right)\right) \cdot \left(1 + \left(1 + {\left(\frac{k}{t\_m}\right)}^{2}\right)\right)}\\
\end{array}
\end{array}
if t < 1.44999999999999993e-99Initial program 53.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites42.6%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
Applied rewrites86.1%
Taylor expanded in k around 0
Applied rewrites79.9%
if 1.44999999999999993e-99 < t Initial program 65.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6481.8
Applied rewrites81.8%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lift-/.f64N/A
lower-*.f6485.1
Applied rewrites85.1%
Final simplification81.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (* t_m (sin k))))
(*
t_s
(if (<= t_m 4e-90)
(/
2.0
(/
(*
t_m
(fma
k
(* k (* (/ (sin k) l) (tan k)))
(* 2.0 (/ (* k (* k (* t_m t_m))) l))))
l))
(if (<= t_m 1.95e+128)
(/
2.0
(/
(*
(* t_m t_m)
(* (/ t_2 l) (* (tan k) (fma k (/ k (* t_m t_m)) 2.0))))
l))
(/ 2.0 (* (* (tan k) (* (/ t_m l) (/ (* t_m t_2) 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) {
double t_2 = t_m * sin(k);
double tmp;
if (t_m <= 4e-90) {
tmp = 2.0 / ((t_m * fma(k, (k * ((sin(k) / l) * tan(k))), (2.0 * ((k * (k * (t_m * t_m))) / l)))) / l);
} else if (t_m <= 1.95e+128) {
tmp = 2.0 / (((t_m * t_m) * ((t_2 / l) * (tan(k) * fma(k, (k / (t_m * t_m)), 2.0)))) / l);
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m * t_2) / l))) * 2.0);
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(t_m * sin(k)) tmp = 0.0 if (t_m <= 4e-90) tmp = Float64(2.0 / Float64(Float64(t_m * fma(k, Float64(k * Float64(Float64(sin(k) / l) * tan(k))), Float64(2.0 * Float64(Float64(k * Float64(k * Float64(t_m * t_m))) / l)))) / l)); elseif (t_m <= 1.95e+128) tmp = Float64(2.0 / Float64(Float64(Float64(t_m * t_m) * Float64(Float64(t_2 / l) * Float64(tan(k) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)))) / l)); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m * t_2) / l))) * 2.0)); end return Float64(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_] := Block[{t$95$2 = N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 4e-90], N[(2.0 / N[(N[(t$95$m * N[(k * N[(k * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 * N[(N[(k * N[(k * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.95e+128], N[(2.0 / N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(N[(t$95$2 / l), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * t$95$2), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := t\_m \cdot \sin k\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4 \cdot 10^{-90}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(k, k \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right), 2 \cdot \frac{k \cdot \left(k \cdot \left(t\_m \cdot t\_m\right)\right)}{\ell}\right)}{\ell}}\\
\mathbf{elif}\;t\_m \leq 1.95 \cdot 10^{+128}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot t\_m\right) \cdot \left(\frac{t\_2}{\ell} \cdot \left(\tan k \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot t\_2}{\ell}\right)\right) \cdot 2}\\
\end{array}
\end{array}
\end{array}
if t < 3.99999999999999998e-90Initial program 53.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites42.6%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
Applied rewrites86.1%
Taylor expanded in k around 0
Applied rewrites79.9%
if 3.99999999999999998e-90 < t < 1.9499999999999999e128Initial program 64.1%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites78.3%
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-*.f64N/A
lift-*.f64N/A
lift-+.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
times-fracN/A
lift-/.f64N/A
lift-/.f64N/A
unpow2N/A
lift-pow.f64N/A
Applied rewrites87.3%
if 1.9499999999999999e128 < t Initial program 66.8%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6483.0
Applied rewrites83.0%
Taylor expanded in k around 0
Applied rewrites83.0%
Final simplification81.7%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.3e+108)
(/
2.0
(*
(/ 1.0 l)
(* t_m (* (* (/ (sin k) l) (tan k)) (fma 2.0 (* t_m t_m) (* k k))))))
(/ 2.0 (* (* (tan k) (* (/ t_m l) (/ (* t_m (* t_m (sin k))) 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) {
double tmp;
if (t_m <= 3.3e+108) {
tmp = 2.0 / ((1.0 / l) * (t_m * (((sin(k) / l) * tan(k)) * fma(2.0, (t_m * t_m), (k * k)))));
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m * (t_m * sin(k))) / l))) * 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 (t_m <= 3.3e+108) tmp = Float64(2.0 / Float64(Float64(1.0 / l) * Float64(t_m * Float64(Float64(Float64(sin(k) / l) * tan(k)) * fma(2.0, Float64(t_m * t_m), Float64(k * k)))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m * Float64(t_m * sin(k))) / l))) * 2.0)); end return Float64(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[t$95$m, 3.3e+108], N[(2.0 / N[(N[(1.0 / l), $MachinePrecision] * N[(t$95$m * N[(N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.3 \cdot 10^{+108}:\\
\;\;\;\;\frac{2}{\frac{1}{\ell} \cdot \left(t\_m \cdot \left(\left(\frac{\sin k}{\ell} \cdot \tan k\right) \cdot \mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot \left(t\_m \cdot \sin k\right)}{\ell}\right)\right) \cdot 2}\\
\end{array}
\end{array}
if t < 3.30000000000000019e108Initial program 55.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
lower-*.f64N/A
lower-/.f6481.6
Applied rewrites83.6%
if 3.30000000000000019e108 < t Initial program 66.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6483.8
Applied rewrites83.8%
Taylor expanded in k around 0
Applied rewrites83.8%
Final simplification83.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.3e+108)
(/
(* 2.0 l)
(* t_m (* (* (/ (sin k) l) (tan k)) (fma 2.0 (* t_m t_m) (* k k)))))
(/ 2.0 (* (* (tan k) (* (/ t_m l) (/ (* t_m (* t_m (sin k))) 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) {
double tmp;
if (t_m <= 3.3e+108) {
tmp = (2.0 * l) / (t_m * (((sin(k) / l) * tan(k)) * fma(2.0, (t_m * t_m), (k * k))));
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m * (t_m * sin(k))) / l))) * 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 (t_m <= 3.3e+108) tmp = Float64(Float64(2.0 * l) / Float64(t_m * Float64(Float64(Float64(sin(k) / l) * tan(k)) * fma(2.0, Float64(t_m * t_m), Float64(k * k))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m * Float64(t_m * sin(k))) / l))) * 2.0)); end return Float64(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[t$95$m, 3.3e+108], N[(N[(2.0 * l), $MachinePrecision] / N[(t$95$m * N[(N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.3 \cdot 10^{+108}:\\
\;\;\;\;\frac{2 \cdot \ell}{t\_m \cdot \left(\left(\frac{\sin k}{\ell} \cdot \tan k\right) \cdot \mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot \left(t\_m \cdot \sin k\right)}{\ell}\right)\right) \cdot 2}\\
\end{array}
\end{array}
if t < 3.30000000000000019e108Initial program 55.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
lift-/.f64N/A
lift-/.f64N/A
associate-/r/N/A
associate-*l/N/A
Applied rewrites83.6%
if 3.30000000000000019e108 < t Initial program 66.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6483.8
Applied rewrites83.8%
Taylor expanded in k around 0
Applied rewrites83.8%
Final simplification83.6%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 3.3e+108)
(*
l
(/
2.0
(* t_m (* (* (/ (sin k) l) (tan k)) (fma 2.0 (* t_m t_m) (* k k))))))
(/ 2.0 (* (* (tan k) (* (/ t_m l) (/ (* t_m (* t_m (sin k))) 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) {
double tmp;
if (t_m <= 3.3e+108) {
tmp = l * (2.0 / (t_m * (((sin(k) / l) * tan(k)) * fma(2.0, (t_m * t_m), (k * k)))));
} else {
tmp = 2.0 / ((tan(k) * ((t_m / l) * ((t_m * (t_m * sin(k))) / l))) * 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 (t_m <= 3.3e+108) tmp = Float64(l * Float64(2.0 / Float64(t_m * Float64(Float64(Float64(sin(k) / l) * tan(k)) * fma(2.0, Float64(t_m * t_m), Float64(k * k)))))); else tmp = Float64(2.0 / Float64(Float64(tan(k) * Float64(Float64(t_m / l) * Float64(Float64(t_m * Float64(t_m * sin(k))) / l))) * 2.0)); end return Float64(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[t$95$m, 3.3e+108], N[(l * N[(2.0 / N[(t$95$m * N[(N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[Tan[k], $MachinePrecision] * N[(N[(t$95$m / l), $MachinePrecision] * N[(N[(t$95$m * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.3 \cdot 10^{+108}:\\
\;\;\;\;\ell \cdot \frac{2}{t\_m \cdot \left(\left(\frac{\sin k}{\ell} \cdot \tan k\right) \cdot \mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(\tan k \cdot \left(\frac{t\_m}{\ell} \cdot \frac{t\_m \cdot \left(t\_m \cdot \sin k\right)}{\ell}\right)\right) \cdot 2}\\
\end{array}
\end{array}
if t < 3.30000000000000019e108Initial program 55.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
lift-/.f64N/A
lift-/.f64N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites83.4%
if 3.30000000000000019e108 < t Initial program 66.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-pow.f64N/A
cube-multN/A
associate-*l*N/A
lift-*.f64N/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f6483.8
Applied rewrites83.8%
Taylor expanded in k around 0
Applied rewrites83.8%
Final simplification83.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= t_m 1.8e+108)
(*
l
(/
2.0
(* t_m (* (* (/ (sin k) l) (tan k)) (fma 2.0 (* t_m t_m) (* k k))))))
(* l (/ l (* t_m (* (* t_m k) (* t_m k))))))))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 (t_m <= 1.8e+108) {
tmp = l * (2.0 / (t_m * (((sin(k) / l) * tan(k)) * fma(2.0, (t_m * t_m), (k * k)))));
} else {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
}
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 (t_m <= 1.8e+108) tmp = Float64(l * Float64(2.0 / Float64(t_m * Float64(Float64(Float64(sin(k) / l) * tan(k)) * fma(2.0, Float64(t_m * t_m), Float64(k * k)))))); else tmp = Float64(l * Float64(l / Float64(t_m * Float64(Float64(t_m * k) * Float64(t_m * k))))); end return Float64(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[t$95$m, 1.8e+108], N[(l * N[(2.0 / N[(t$95$m * N[(N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l / N[(t$95$m * N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $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}\;t\_m \leq 1.8 \cdot 10^{+108}:\\
\;\;\;\;\ell \cdot \frac{2}{t\_m \cdot \left(\left(\frac{\sin k}{\ell} \cdot \tan k\right) \cdot \mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell}{t\_m \cdot \left(\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)\right)}\\
\end{array}
\end{array}
if t < 1.8e108Initial program 55.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.6%
lift-/.f64N/A
lift-/.f64N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites83.4%
if 1.8e108 < t Initial program 66.0%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6452.8
Applied rewrites52.8%
Applied rewrites75.3%
Applied rewrites75.3%
Applied rewrites83.8%
Final simplification83.5%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(let* ((t_2 (/ (* t_m t_m) l)))
(*
t_s
(if (<= t_m 3.5e+56)
(/
2.0
(/
(*
t_m
(*
k
(*
k
(fma k (* k (fma t_2 0.3333333333333333 (/ 1.0 l))) (* 2.0 t_2)))))
l))
(* l (/ l (* t_m (* (* t_m k) (* t_m k)))))))))t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double t_m, double l, double k) {
double t_2 = (t_m * t_m) / l;
double tmp;
if (t_m <= 3.5e+56) {
tmp = 2.0 / ((t_m * (k * (k * fma(k, (k * fma(t_2, 0.3333333333333333, (1.0 / l))), (2.0 * t_2))))) / l);
} else {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
}
return t_s * tmp;
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(Float64(t_m * t_m) / l) tmp = 0.0 if (t_m <= 3.5e+56) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(k * Float64(k * fma(k, Float64(k * fma(t_2, 0.3333333333333333, Float64(1.0 / l))), Float64(2.0 * t_2))))) / l)); else tmp = Float64(l * Float64(l / Float64(t_m * Float64(Float64(t_m * k) * Float64(t_m * k))))); end return Float64(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_] := Block[{t$95$2 = N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.5e+56], N[(2.0 / N[(N[(t$95$m * N[(k * N[(k * N[(k * N[(k * N[(t$95$2 * 0.3333333333333333 + N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(2.0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(l * N[(l / N[(t$95$m * N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]]
\begin{array}{l}
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := \frac{t\_m \cdot t\_m}{\ell}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{+56}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \left(k \cdot \left(k \cdot \mathsf{fma}\left(k, k \cdot \mathsf{fma}\left(t\_2, 0.3333333333333333, \frac{1}{\ell}\right), 2 \cdot t\_2\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell}{t\_m \cdot \left(\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)\right)}\\
\end{array}
\end{array}
\end{array}
if t < 3.49999999999999999e56Initial program 54.3%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
associate-*l/N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites46.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-/.f64N/A
Applied rewrites81.4%
Taylor expanded in k around 0
Applied rewrites72.0%
if 3.49999999999999999e56 < t Initial program 65.6%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6456.0
Applied rewrites56.0%
Applied rewrites75.1%
Applied rewrites75.1%
Applied rewrites81.1%
Final simplification74.3%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 2.5e-162)
(* l (/ l (* t_m (* (* t_m k) (* t_m k)))))
(* (/ l t_m) (/ l (* t_m (* t_m (* k k))))))))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 <= 2.5e-162) {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
} else {
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))));
}
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 <= 2.5d-162) then
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))))
else
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))))
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 <= 2.5e-162) {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
} else {
tmp = (l / t_m) * (l / (t_m * (t_m * (k * k))));
}
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 <= 2.5e-162: tmp = l * (l / (t_m * ((t_m * k) * (t_m * k)))) else: tmp = (l / t_m) * (l / (t_m * (t_m * (k * k)))) 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 <= 2.5e-162) tmp = Float64(l * Float64(l / Float64(t_m * Float64(Float64(t_m * k) * Float64(t_m * k))))); else tmp = Float64(Float64(l / t_m) * Float64(l / Float64(t_m * Float64(t_m * Float64(k * k))))); 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 <= 2.5e-162) tmp = l * (l / (t_m * ((t_m * k) * (t_m * k)))); else tmp = (l / t_m) * (l / (t_m * (t_m * (k * k)))); 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, 2.5e-162], N[(l * N[(l / N[(t$95$m * N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l / t$95$m), $MachinePrecision] * N[(l / N[(t$95$m * N[(t$95$m * N[(k * k), $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 2.5 \cdot 10^{-162}:\\
\;\;\;\;\ell \cdot \frac{\ell}{t\_m \cdot \left(\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell}{t\_m} \cdot \frac{\ell}{t\_m \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)}\\
\end{array}
\end{array}
if k < 2.50000000000000007e-162Initial program 60.8%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.7
Applied rewrites54.7%
Applied rewrites70.0%
Applied rewrites70.0%
Applied rewrites74.0%
if 2.50000000000000007e-162 < k Initial program 52.5%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.0
Applied rewrites53.0%
Applied rewrites65.8%
Final simplification70.4%
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s t_m l k)
:precision binary64
(*
t_s
(if (<= k 3.8e+195)
(* l (/ l (* t_m (* (* t_m k) (* t_m k)))))
(/ (* l l) (* t_m (* t_m (* t_m (* k k))))))))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 <= 3.8e+195) {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
} else {
tmp = (l * l) / (t_m * (t_m * (t_m * (k * k))));
}
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 <= 3.8d+195) then
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))))
else
tmp = (l * l) / (t_m * (t_m * (t_m * (k * k))))
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 <= 3.8e+195) {
tmp = l * (l / (t_m * ((t_m * k) * (t_m * k))));
} else {
tmp = (l * l) / (t_m * (t_m * (t_m * (k * k))));
}
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 <= 3.8e+195: tmp = l * (l / (t_m * ((t_m * k) * (t_m * k)))) else: tmp = (l * l) / (t_m * (t_m * (t_m * (k * k)))) 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 <= 3.8e+195) tmp = Float64(l * Float64(l / Float64(t_m * Float64(Float64(t_m * k) * Float64(t_m * k))))); else tmp = Float64(Float64(l * l) / Float64(t_m * Float64(t_m * Float64(t_m * Float64(k * k))))); 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 <= 3.8e+195) tmp = l * (l / (t_m * ((t_m * k) * (t_m * k)))); else tmp = (l * l) / (t_m * (t_m * (t_m * (k * k)))); 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, 3.8e+195], N[(l * N[(l / N[(t$95$m * N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(l * l), $MachinePrecision] / N[(t$95$m * N[(t$95$m * N[(t$95$m * N[(k * k), $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 3.8 \cdot 10^{+195}:\\
\;\;\;\;\ell \cdot \frac{\ell}{t\_m \cdot \left(\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{\ell \cdot \ell}{t\_m \cdot \left(t\_m \cdot \left(t\_m \cdot \left(k \cdot k\right)\right)\right)}\\
\end{array}
\end{array}
if k < 3.8e195Initial program 57.4%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.7
Applied rewrites53.7%
Applied rewrites64.8%
Applied rewrites64.8%
Applied rewrites67.8%
if 3.8e195 < k Initial program 55.3%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6455.5
Applied rewrites55.5%
Applied rewrites79.4%
Final simplification69.0%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* l (/ l (* t_m (* (* t_m k) (* t_m k)))))))
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 / (t_m * ((t_m * k) * (t_m * k)))));
}
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 / (t_m * ((t_m * k) * (t_m * k)))))
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 / (t_m * ((t_m * k) * (t_m * k)))));
}
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 / (t_m * ((t_m * k) * (t_m * k)))))
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(l / Float64(t_m * Float64(Float64(t_m * k) * Float64(t_m * k)))))) 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 / (t_m * ((t_m * k) * (t_m * k))))); 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[(l * N[(l / N[(t$95$m * N[(N[(t$95$m * k), $MachinePrecision] * N[(t$95$m * k), $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 \left(\ell \cdot \frac{\ell}{t\_m \cdot \left(\left(t\_m \cdot k\right) \cdot \left(t\_m \cdot k\right)\right)}\right)
\end{array}
Initial program 57.2%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.9
Applied rewrites53.9%
Applied rewrites63.9%
Applied rewrites64.3%
Applied rewrites67.4%
Final simplification67.4%
t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s t_m l k) :precision binary64 (* t_s (* l (/ l (* k (* t_m (* t_m (* t_m k))))))))
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 / (k * (t_m * (t_m * (t_m * k))))));
}
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 / (k * (t_m * (t_m * (t_m * k))))))
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 / (k * (t_m * (t_m * (t_m * k))))));
}
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 / (k * (t_m * (t_m * (t_m * k))))))
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(l / Float64(k * Float64(t_m * Float64(t_m * Float64(t_m * k))))))) 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 / (k * (t_m * (t_m * (t_m * k)))))); 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[(l * N[(l / N[(k * N[(t$95$m * N[(t$95$m * N[(t$95$m * k), $MachinePrecision]), $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 \left(\ell \cdot \frac{\ell}{k \cdot \left(t\_m \cdot \left(t\_m \cdot \left(t\_m \cdot k\right)\right)\right)}\right)
\end{array}
Initial program 57.2%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.9
Applied rewrites53.9%
Applied rewrites63.9%
Applied rewrites64.3%
Final simplification64.3%
herbie shell --seed 2024226
(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))))