
(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 19 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 2.3e+44)
(/
2.0
(/
(fma
(* t_2 (* k (tan k)))
(* t_m k)
(* (* t_m (* t_m (* t_m 2.0))) (* t_2 (tan k))))
l))
(/
2.0
(/
(*
(*
t_m
(* (* (* t_m (tan k)) (fma k (/ k (* t_m t_m)) 2.0)) (/ 1.0 l)))
(* t_m (sin k)))
l))))))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 <= 2.3e+44) {
tmp = 2.0 / (fma((t_2 * (k * tan(k))), (t_m * k), ((t_m * (t_m * (t_m * 2.0))) * (t_2 * tan(k)))) / l);
} else {
tmp = 2.0 / (((t_m * (((t_m * tan(k)) * fma(k, (k / (t_m * t_m)), 2.0)) * (1.0 / l))) * (t_m * sin(k))) / l);
}
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 <= 2.3e+44) tmp = Float64(2.0 / Float64(fma(Float64(t_2 * Float64(k * tan(k))), Float64(t_m * k), Float64(Float64(t_m * Float64(t_m * Float64(t_m * 2.0))) * Float64(t_2 * tan(k)))) / l)); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64(Float64(Float64(t_m * tan(k)) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) * Float64(1.0 / l))) * Float64(t_m * sin(k))) / l)); 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, 2.3e+44], N[(2.0 / N[(N[(N[(t$95$2 * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * k), $MachinePrecision] + N[(N[(t$95$m * N[(t$95$m * N[(t$95$m * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[(N[(N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 2.3 \cdot 10^{+44}:\\
\;\;\;\;\frac{2}{\frac{\mathsf{fma}\left(t\_2 \cdot \left(k \cdot \tan k\right), t\_m \cdot k, \left(t\_m \cdot \left(t\_m \cdot \left(t\_m \cdot 2\right)\right)\right) \cdot \left(t\_2 \cdot \tan k\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \left(\left(\left(t\_m \cdot \tan k\right) \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right) \cdot \frac{1}{\ell}\right)\right) \cdot \left(t\_m \cdot \sin k\right)}{\ell}}\\
\end{array}
\end{array}
\end{array}
if t < 2.30000000000000004e44Initial program 51.7%
Applied egg-rr53.5%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.5%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr85.4%
Applied egg-rr87.7%
if 2.30000000000000004e44 < t Initial program 61.5%
Applied egg-rr69.0%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr76.3%
lift-*.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-invN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
Applied egg-rr88.1%
Final simplification87.8%
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_3 (* t_m (tan k))))
(*
t_s
(if (<= t_m 1.02e+49)
(/
(* 2.0 l)
(* t_m (fma k (* t_2 (* k (tan k))) (* (* t_m 2.0) (* t_2 t_3)))))
(/
2.0
(/
(*
(* t_m (* (* t_3 (fma k (/ k (* t_m t_m)) 2.0)) (/ 1.0 l)))
(* t_m (sin k)))
l))))))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 t_3 = t_m * tan(k);
double tmp;
if (t_m <= 1.02e+49) {
tmp = (2.0 * l) / (t_m * fma(k, (t_2 * (k * tan(k))), ((t_m * 2.0) * (t_2 * t_3))));
} else {
tmp = 2.0 / (((t_m * ((t_3 * fma(k, (k / (t_m * t_m)), 2.0)) * (1.0 / l))) * (t_m * sin(k))) / l);
}
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) t_3 = Float64(t_m * tan(k)) tmp = 0.0 if (t_m <= 1.02e+49) tmp = Float64(Float64(2.0 * l) / Float64(t_m * fma(k, Float64(t_2 * Float64(k * tan(k))), Float64(Float64(t_m * 2.0) * Float64(t_2 * t_3))))); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64(Float64(t_3 * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) * Float64(1.0 / l))) * Float64(t_m * sin(k))) / l)); 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]}, Block[{t$95$3 = N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.02e+49], N[(N[(2.0 * l), $MachinePrecision] / N[(t$95$m * N[(k * N[(t$95$2 * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$m * 2.0), $MachinePrecision] * N[(t$95$2 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[(N[(t$95$3 * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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_3 := t\_m \cdot \tan k\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.02 \cdot 10^{+49}:\\
\;\;\;\;\frac{2 \cdot \ell}{t\_m \cdot \mathsf{fma}\left(k, t\_2 \cdot \left(k \cdot \tan k\right), \left(t\_m \cdot 2\right) \cdot \left(t\_2 \cdot t\_3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \left(\left(t\_3 \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right) \cdot \frac{1}{\ell}\right)\right) \cdot \left(t\_m \cdot \sin k\right)}{\ell}}\\
\end{array}
\end{array}
\end{array}
if t < 1.02e49Initial program 51.9%
Applied egg-rr53.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.4%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr85.6%
Applied egg-rr88.0%
if 1.02e49 < t Initial program 61.1%
Applied egg-rr69.0%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr75.0%
lift-*.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-invN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
Applied egg-rr87.5%
Final simplification87.9%
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_3 (* t_m (tan k))))
(*
t_s
(if (<= t_m 1.02e+49)
(*
l
(/
2.0
(* t_m (fma k (* t_2 (* k (tan k))) (* (* t_m 2.0) (* t_2 t_3))))))
(/
2.0
(/
(*
(* t_m (* (* t_3 (fma k (/ k (* t_m t_m)) 2.0)) (/ 1.0 l)))
(* t_m (sin k)))
l))))))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 t_3 = t_m * tan(k);
double tmp;
if (t_m <= 1.02e+49) {
tmp = l * (2.0 / (t_m * fma(k, (t_2 * (k * tan(k))), ((t_m * 2.0) * (t_2 * t_3)))));
} else {
tmp = 2.0 / (((t_m * ((t_3 * fma(k, (k / (t_m * t_m)), 2.0)) * (1.0 / l))) * (t_m * sin(k))) / l);
}
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) t_3 = Float64(t_m * tan(k)) tmp = 0.0 if (t_m <= 1.02e+49) tmp = Float64(l * Float64(2.0 / Float64(t_m * fma(k, Float64(t_2 * Float64(k * tan(k))), Float64(Float64(t_m * 2.0) * Float64(t_2 * t_3)))))); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64(Float64(t_3 * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) * Float64(1.0 / l))) * Float64(t_m * sin(k))) / l)); 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]}, Block[{t$95$3 = N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.02e+49], N[(l * N[(2.0 / N[(t$95$m * N[(k * N[(t$95$2 * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$m * 2.0), $MachinePrecision] * N[(t$95$2 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[(N[(t$95$3 * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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_3 := t\_m \cdot \tan k\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.02 \cdot 10^{+49}:\\
\;\;\;\;\ell \cdot \frac{2}{t\_m \cdot \mathsf{fma}\left(k, t\_2 \cdot \left(k \cdot \tan k\right), \left(t\_m \cdot 2\right) \cdot \left(t\_2 \cdot t\_3\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \left(\left(t\_3 \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right) \cdot \frac{1}{\ell}\right)\right) \cdot \left(t\_m \cdot \sin k\right)}{\ell}}\\
\end{array}
\end{array}
\end{array}
if t < 1.02e49Initial program 51.9%
Applied egg-rr53.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.4%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr85.6%
Applied egg-rr88.0%
if 1.02e49 < t Initial program 61.1%
Applied egg-rr69.0%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr75.0%
lift-*.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-invN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
Applied egg-rr87.5%
Final simplification87.9%
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
(/
2.0
(*
(fma k (* t_2 (* k (tan k))) (* (* t_m 2.0) (* t_2 (* t_m (tan k)))))
(/ t_m l))))))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;
return t_s * (2.0 / (fma(k, (t_2 * (k * tan(k))), ((t_m * 2.0) * (t_2 * (t_m * tan(k))))) * (t_m / l)));
}
t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, t_m, l, k) t_2 = Float64(sin(k) / l) return Float64(t_s * Float64(2.0 / Float64(fma(k, Float64(t_2 * Float64(k * tan(k))), Float64(Float64(t_m * 2.0) * Float64(t_2 * Float64(t_m * tan(k))))) * Float64(t_m / l)))) 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 * N[(2.0 / N[(N[(k * N[(t$95$2 * N[(k * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$m * 2.0), $MachinePrecision] * N[(t$95$2 * N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m / l), $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 \frac{2}{\mathsf{fma}\left(k, t\_2 \cdot \left(k \cdot \tan k\right), \left(t\_m \cdot 2\right) \cdot \left(t\_2 \cdot \left(t\_m \cdot \tan k\right)\right)\right) \cdot \frac{t\_m}{\ell}}
\end{array}
\end{array}
Initial program 53.8%
Applied egg-rr56.9%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified75.3%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr82.9%
Applied egg-rr88.4%
Final simplification88.4%
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 (<= t_m 5.8e-93)
(/
2.0
(/
(*
t_m
(fma
(* k (* (/ (sin k) l) (tan k)))
k
(* 2.0 (* k (* k (/ (* t_m t_m) l))))))
l))
(/
2.0
(/
(*
(* t_m (* (* (* t_m (tan k)) (fma k (/ k (* t_m t_m)) 2.0)) (/ 1.0 l)))
(* t_m (sin k)))
l)))))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 <= 5.8e-93) {
tmp = 2.0 / ((t_m * fma((k * ((sin(k) / l) * tan(k))), k, (2.0 * (k * (k * ((t_m * t_m) / l)))))) / l);
} else {
tmp = 2.0 / (((t_m * (((t_m * tan(k)) * fma(k, (k / (t_m * t_m)), 2.0)) * (1.0 / l))) * (t_m * sin(k))) / l);
}
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 <= 5.8e-93) tmp = Float64(2.0 / Float64(Float64(t_m * fma(Float64(k * Float64(Float64(sin(k) / l) * tan(k))), k, Float64(2.0 * Float64(k * Float64(k * Float64(Float64(t_m * t_m) / l)))))) / l)); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * Float64(Float64(Float64(t_m * tan(k)) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) * Float64(1.0 / l))) * Float64(t_m * sin(k))) / l)); 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, 5.8e-93], N[(2.0 / N[(N[(t$95$m * N[(N[(k * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * k + N[(2.0 * N[(k * N[(k * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[(N[(N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 5.8 \cdot 10^{-93}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(k \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right), k, 2 \cdot \left(k \cdot \left(k \cdot \frac{t\_m \cdot t\_m}{\ell}\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \left(\left(\left(t\_m \cdot \tan k\right) \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right) \cdot \frac{1}{\ell}\right)\right) \cdot \left(t\_m \cdot \sin k\right)}{\ell}}\\
\end{array}
\end{array}
if t < 5.7999999999999997e-93Initial program 46.6%
Applied egg-rr44.8%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified76.7%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr83.5%
Taylor expanded in k around 0
associate-/l*N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6481.7
Simplified81.7%
if 5.7999999999999997e-93 < t Initial program 65.4%
Applied egg-rr76.3%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr80.4%
lift-*.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-invN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
Applied egg-rr87.1%
Final simplification83.8%
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 5.8e-93)
(/
2.0
(/
(*
t_m
(fma
(* k (* (/ (sin k) l) (tan k)))
k
(* 2.0 (* k (* k (/ (* t_m t_m) l))))))
l))
(/
2.0
(/
(*
(* t_m (sin k))
(* t_m (/ (* (* t_m (tan k)) (fma k (/ k (* t_m t_m)) 2.0)) l)))
l)))))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 <= 5.8e-93) {
tmp = 2.0 / ((t_m * fma((k * ((sin(k) / l) * tan(k))), k, (2.0 * (k * (k * ((t_m * t_m) / l)))))) / l);
} else {
tmp = 2.0 / (((t_m * sin(k)) * (t_m * (((t_m * tan(k)) * fma(k, (k / (t_m * t_m)), 2.0)) / l))) / l);
}
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 <= 5.8e-93) tmp = Float64(2.0 / Float64(Float64(t_m * fma(Float64(k * Float64(Float64(sin(k) / l) * tan(k))), k, Float64(2.0 * Float64(k * Float64(k * Float64(Float64(t_m * t_m) / l)))))) / l)); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * sin(k)) * Float64(t_m * Float64(Float64(Float64(t_m * tan(k)) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) / l))) / l)); 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, 5.8e-93], N[(2.0 / N[(N[(t$95$m * N[(N[(k * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * k + N[(2.0 * N[(k * N[(k * N[(N[(t$95$m * t$95$m), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[(N[(N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 5.8 \cdot 10^{-93}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \mathsf{fma}\left(k \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right), k, 2 \cdot \left(k \cdot \left(k \cdot \frac{t\_m \cdot t\_m}{\ell}\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \sin k\right) \cdot \left(t\_m \cdot \frac{\left(t\_m \cdot \tan k\right) \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 5.7999999999999997e-93Initial program 46.6%
Applied egg-rr44.8%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified76.7%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
*-commutativeN/A
lift-*.f64N/A
associate-*r*N/A
lower-fma.f64N/A
Applied egg-rr83.5%
Taylor expanded in k around 0
associate-/l*N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6481.7
Simplified81.7%
if 5.7999999999999997e-93 < t Initial program 65.4%
Applied egg-rr76.3%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr80.4%
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f6487.1
Applied egg-rr87.1%
Final simplification83.8%
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 4.9e-52)
(/
2.0
(* (* t_m (* (/ (sin k) l) (tan k))) (/ (fma 2.0 (* t_m t_m) (* k k)) l)))
(/
2.0
(/
(*
(* t_m (sin k))
(* t_m (/ (* (* t_m (tan k)) (fma k (/ k (* t_m t_m)) 2.0)) l)))
l)))))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 <= 4.9e-52) {
tmp = 2.0 / ((t_m * ((sin(k) / l) * tan(k))) * (fma(2.0, (t_m * t_m), (k * k)) / l));
} else {
tmp = 2.0 / (((t_m * sin(k)) * (t_m * (((t_m * tan(k)) * fma(k, (k / (t_m * t_m)), 2.0)) / l))) / l);
}
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 <= 4.9e-52) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(Float64(sin(k) / l) * tan(k))) * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) / l))); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * sin(k)) * Float64(t_m * Float64(Float64(Float64(t_m * tan(k)) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0)) / l))) / l)); 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, 4.9e-52], N[(2.0 / N[(N[(t$95$m * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(t$95$m * N[(N[(N[(t$95$m * N[Tan[k], $MachinePrecision]), $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 4.9 \cdot 10^{-52}:\\
\;\;\;\;\frac{2}{\left(t\_m \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right)\right) \cdot \frac{\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \sin k\right) \cdot \left(t\_m \cdot \frac{\left(t\_m \cdot \tan k\right) \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 4.90000000000000019e-52Initial program 48.4%
Applied egg-rr48.4%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.7%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
Applied egg-rr80.9%
if 4.90000000000000019e-52 < t Initial program 64.7%
Applied egg-rr73.8%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr78.6%
lift-tan.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f6486.3
Applied egg-rr86.3%
Final simplification82.7%
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 4e-46)
(/
2.0
(* (* t_m (* (/ (sin k) l) (tan k))) (/ (fma 2.0 (* t_m t_m) (* k k)) l)))
(/
2.0
(/
(*
t_m
(*
(sin k)
(/ (* (* t_m t_m) (* (tan k) (fma k (/ k (* t_m t_m)) 2.0))) l)))
l)))))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 <= 4e-46) {
tmp = 2.0 / ((t_m * ((sin(k) / l) * tan(k))) * (fma(2.0, (t_m * t_m), (k * k)) / l));
} else {
tmp = 2.0 / ((t_m * (sin(k) * (((t_m * t_m) * (tan(k) * fma(k, (k / (t_m * t_m)), 2.0))) / l))) / l);
}
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 <= 4e-46) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(Float64(sin(k) / l) * tan(k))) * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) / l))); else tmp = Float64(2.0 / Float64(Float64(t_m * Float64(sin(k) * Float64(Float64(Float64(t_m * t_m) * Float64(tan(k) * fma(k, Float64(k / Float64(t_m * t_m)), 2.0))) / l))) / l)); 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, 4e-46], N[(2.0 / N[(N[(t$95$m * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m * N[(N[Sin[k], $MachinePrecision] * N[(N[(N[(t$95$m * t$95$m), $MachinePrecision] * N[(N[Tan[k], $MachinePrecision] * N[(k * N[(k / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 4 \cdot 10^{-46}:\\
\;\;\;\;\frac{2}{\left(t\_m \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right)\right) \cdot \frac{\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \left(\sin k \cdot \frac{\left(t\_m \cdot t\_m\right) \cdot \left(\tan k \cdot \mathsf{fma}\left(k, \frac{k}{t\_m \cdot t\_m}, 2\right)\right)}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if t < 4.00000000000000009e-46Initial program 48.1%
Applied egg-rr48.2%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.3%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
Applied egg-rr80.5%
if 4.00000000000000009e-46 < t Initial program 65.5%
Applied egg-rr74.7%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
Applied egg-rr79.5%
Final simplification80.2%
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 2.9e+38)
(/
2.0
(* (* t_m (* (/ (sin k) l) (tan k))) (/ (fma 2.0 (* t_m t_m) (* k k)) l)))
(/ 2.0 (/ (* (* t_m (sin k)) (/ (* k (* 2.0 (* t_m t_m))) l)) l)))))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 <= 2.9e+38) {
tmp = 2.0 / ((t_m * ((sin(k) / l) * tan(k))) * (fma(2.0, (t_m * t_m), (k * k)) / l));
} else {
tmp = 2.0 / (((t_m * sin(k)) * ((k * (2.0 * (t_m * t_m))) / l)) / l);
}
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 <= 2.9e+38) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(Float64(sin(k) / l) * tan(k))) * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) / l))); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * sin(k)) * Float64(Float64(k * Float64(2.0 * Float64(t_m * t_m))) / l)) / l)); 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, 2.9e+38], N[(2.0 / N[(N[(t$95$m * N[(N[(N[Sin[k], $MachinePrecision] / l), $MachinePrecision] * N[Tan[k], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $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 2.9 \cdot 10^{+38}:\\
\;\;\;\;\frac{2}{\left(t\_m \cdot \left(\frac{\sin k}{\ell} \cdot \tan k\right)\right) \cdot \frac{\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \sin k\right) \cdot \frac{k \cdot \left(2 \cdot \left(t\_m \cdot t\_m\right)\right)}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 2.90000000000000007e38Initial program 51.4%
Applied egg-rr53.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.9%
lift-sin.f64N/A
lift-pow.f64N/A
lift-cos.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
Applied egg-rr81.6%
if 2.90000000000000007e38 < t Initial program 62.2%
Applied egg-rr67.9%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr75.1%
Taylor expanded in k around 0
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6475.1
Simplified75.1%
Final simplification80.2%
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
(/
2.0
(/
(*
(* t_m (sin k))
(/
(*
k
(fma
2.0
(* t_m t_m)
(* k (* k (fma (* t_m t_m) 0.6666666666666666 1.0)))))
l))
l))))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 * sin(k)) * ((k * fma(2.0, (t_m * t_m), (k * (k * fma((t_m * t_m), 0.6666666666666666, 1.0))))) / l)) / l));
}
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(Float64(t_m * sin(k)) * Float64(Float64(k * fma(2.0, Float64(t_m * t_m), Float64(k * Float64(k * fma(Float64(t_m * t_m), 0.6666666666666666, 1.0))))) / l)) / l))) 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[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * N[(k * N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.6666666666666666 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $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{\left(t\_m \cdot \sin k\right) \cdot \frac{k \cdot \mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot \left(k \cdot \mathsf{fma}\left(t\_m \cdot t\_m, 0.6666666666666666, 1\right)\right)\right)}{\ell}}{\ell}}
\end{array}
Initial program 53.8%
Applied egg-rr56.9%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr60.5%
Taylor expanded in k around 0
lower-*.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
unpow2N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f64N/A
distribute-lft-inN/A
rgt-mult-inverseN/A
lower-fma.f64N/A
unpow2N/A
lower-*.f6472.4
Simplified72.4%
Final simplification72.4%
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 (<= t_m 4400000000.0)
(/
2.0
(/
(*
t_m
(*
(fma 2.0 (* t_m t_m) (* k k))
(* k (* k (fma (/ (* k k) l) 0.16666666666666666 (/ 1.0 l))))))
l))
(/ 2.0 (/ (* (* t_m (sin k)) (/ (* k (* 2.0 (* t_m t_m))) l)) l)))))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 <= 4400000000.0) {
tmp = 2.0 / ((t_m * (fma(2.0, (t_m * t_m), (k * k)) * (k * (k * fma(((k * k) / l), 0.16666666666666666, (1.0 / l)))))) / l);
} else {
tmp = 2.0 / (((t_m * sin(k)) * ((k * (2.0 * (t_m * t_m))) / l)) / l);
}
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 <= 4400000000.0) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) * Float64(k * Float64(k * fma(Float64(Float64(k * k) / l), 0.16666666666666666, Float64(1.0 / l)))))) / l)); else tmp = Float64(2.0 / Float64(Float64(Float64(t_m * sin(k)) * Float64(Float64(k * Float64(2.0 * Float64(t_m * t_m))) / l)) / l)); 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, 4400000000.0], N[(2.0 / N[(N[(t$95$m * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(k * N[(k * N[(N[(N[(k * k), $MachinePrecision] / l), $MachinePrecision] * 0.16666666666666666 + N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(N[(t$95$m * N[Sin[k], $MachinePrecision]), $MachinePrecision] * N[(N[(k * N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision] / l), $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 4400000000:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \left(\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right) \cdot \left(k \cdot \left(k \cdot \mathsf{fma}\left(\frac{k \cdot k}{\ell}, 0.16666666666666666, \frac{1}{\ell}\right)\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{\left(t\_m \cdot \sin k\right) \cdot \frac{k \cdot \left(2 \cdot \left(t\_m \cdot t\_m\right)\right)}{\ell}}{\ell}}\\
\end{array}
\end{array}
if t < 4.4e9Initial program 50.6%
Applied egg-rr52.0%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.1%
Taylor expanded in k around 0
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
associate-*l/N/A
associate-*r/N/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f6470.3
Simplified70.3%
if 4.4e9 < t Initial program 63.4%
Applied egg-rr71.4%
lift-sin.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-tan.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lower-*.f64N/A
Applied egg-rr77.7%
Taylor expanded in k around 0
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6473.3
Simplified73.3%
Final simplification71.1%
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 2.1e+41)
(/
2.0
(/
(*
t_m
(*
(fma 2.0 (* t_m t_m) (* k k))
(* k (* k (fma (/ (* k k) l) 0.16666666666666666 (/ 1.0 l))))))
l))
(* l (/ l (* (* t_m k) (* k (* t_m t_m))))))))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 <= 2.1e+41) {
tmp = 2.0 / ((t_m * (fma(2.0, (t_m * t_m), (k * k)) * (k * (k * fma(((k * k) / l), 0.16666666666666666, (1.0 / l)))))) / l);
} else {
tmp = l * (l / ((t_m * k) * (k * (t_m * t_m))));
}
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 <= 2.1e+41) tmp = Float64(2.0 / Float64(Float64(t_m * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) * Float64(k * Float64(k * fma(Float64(Float64(k * k) / l), 0.16666666666666666, Float64(1.0 / l)))))) / l)); else tmp = Float64(l * Float64(l / Float64(Float64(t_m * k) * Float64(k * Float64(t_m * t_m))))); 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, 2.1e+41], N[(2.0 / N[(N[(t$95$m * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(k * N[(k * N[(N[(N[(k * k), $MachinePrecision] / l), $MachinePrecision] * 0.16666666666666666 + N[(1.0 / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision], N[(l * N[(l / N[(N[(t$95$m * k), $MachinePrecision] * N[(k * N[(t$95$m * t$95$m), $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 2.1 \cdot 10^{+41}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \left(\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right) \cdot \left(k \cdot \left(k \cdot \mathsf{fma}\left(\frac{k \cdot k}{\ell}, 0.16666666666666666, \frac{1}{\ell}\right)\right)\right)\right)}{\ell}}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell}{\left(t\_m \cdot k\right) \cdot \left(k \cdot \left(t\_m \cdot t\_m\right)\right)}\\
\end{array}
\end{array}
if t < 2.1e41Initial program 51.4%
Applied egg-rr53.7%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified77.9%
Taylor expanded in k around 0
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
lower-*.f64N/A
associate-*r/N/A
metadata-evalN/A
associate-*l/N/A
associate-*r/N/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f6469.9
Simplified69.9%
if 2.1e41 < t Initial program 62.2%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.1
Simplified53.1%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.4
Simplified60.4%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6466.4
Applied egg-rr66.4%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f6473.3
Applied egg-rr73.3%
Final simplification70.7%
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 (<= k 4.6e-97)
(* l (/ (/ (/ l k) (* t_m k)) (* t_m t_m)))
(/ 2.0 (/ (* t_m (* (fma 2.0 (* t_m t_m) (* k k)) (/ (* k k) l))) l)))))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 <= 4.6e-97) {
tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m));
} else {
tmp = 2.0 / ((t_m * (fma(2.0, (t_m * t_m), (k * k)) * ((k * k) / l))) / l);
}
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 <= 4.6e-97) tmp = Float64(l * Float64(Float64(Float64(l / k) / Float64(t_m * k)) / Float64(t_m * t_m))); else tmp = Float64(2.0 / Float64(Float64(t_m * Float64(fma(2.0, Float64(t_m * t_m), Float64(k * k)) * Float64(Float64(k * k) / l))) / l)); 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[k, 4.6e-97], N[(l * N[(N[(N[(l / k), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(t$95$m * N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision] + N[(k * k), $MachinePrecision]), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] / l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / l), $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 4.6 \cdot 10^{-97}:\\
\;\;\;\;\ell \cdot \frac{\frac{\frac{\ell}{k}}{t\_m \cdot k}}{t\_m \cdot t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\frac{t\_m \cdot \left(\mathsf{fma}\left(2, t\_m \cdot t\_m, k \cdot k\right) \cdot \frac{k \cdot k}{\ell}\right)}{\ell}}\\
\end{array}
\end{array}
if k < 4.59999999999999988e-97Initial program 58.3%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6452.0
Simplified52.0%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6457.1
Simplified57.1%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6459.6
Applied egg-rr59.6%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6468.2
Applied egg-rr68.2%
if 4.59999999999999988e-97 < k Initial program 45.2%
Applied egg-rr49.9%
Taylor expanded in t around 0
lower-*.f64N/A
associate-/l*N/A
associate-*r*N/A
associate-/l*N/A
distribute-rgt-outN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
lower-sin.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
lower-fma.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
Simplified81.0%
Taylor expanded in k around 0
lower-/.f64N/A
unpow2N/A
lower-*.f6464.5
Simplified64.5%
Final simplification66.9%
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 5e-20)
(* l (/ (/ (/ l k) (* t_m k)) (* t_m t_m)))
(/
2.0
(*
(* k k)
(*
(* k k)
(/ (fma t_m (* (* t_m t_m) 0.3333333333333333) t_m) (* l l))))))))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 <= 5e-20) {
tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m));
} else {
tmp = 2.0 / ((k * k) * ((k * k) * (fma(t_m, ((t_m * t_m) * 0.3333333333333333), t_m) / (l * l))));
}
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 <= 5e-20) tmp = Float64(l * Float64(Float64(Float64(l / k) / Float64(t_m * k)) / Float64(t_m * t_m))); else tmp = Float64(2.0 / Float64(Float64(k * k) * Float64(Float64(k * k) * Float64(fma(t_m, Float64(Float64(t_m * t_m) * 0.3333333333333333), t_m) / Float64(l * l))))); 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[k, 5e-20], N[(l * N[(N[(N[(l / k), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k * k), $MachinePrecision] * N[(N[(k * k), $MachinePrecision] * N[(N[(t$95$m * N[(N[(t$95$m * t$95$m), $MachinePrecision] * 0.3333333333333333), $MachinePrecision] + t$95$m), $MachinePrecision] / N[(l * l), $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 5 \cdot 10^{-20}:\\
\;\;\;\;\ell \cdot \frac{\frac{\frac{\ell}{k}}{t\_m \cdot k}}{t\_m \cdot t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot \left(\left(k \cdot k\right) \cdot \frac{\mathsf{fma}\left(t\_m, \left(t\_m \cdot t\_m\right) \cdot 0.3333333333333333, t\_m\right)}{\ell \cdot \ell}\right)}\\
\end{array}
\end{array}
if k < 4.9999999999999999e-20Initial program 58.5%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.4
Simplified54.4%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6459.0
Simplified59.0%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6461.9
Applied egg-rr61.9%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6469.7
Applied egg-rr69.7%
if 4.9999999999999999e-20 < k Initial program 42.0%
Taylor expanded in k around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-*l/N/A
associate-/l*N/A
lower-fma.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
Simplified48.5%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
+-commutativeN/A
Applied egg-rr33.1%
Taylor expanded in k around inf
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
lower-fma.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6453.9
Simplified53.9%
Final simplification65.2%
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 4.6e-69)
(/ 2.0 (* (* k k) (/ (* t_m (* k k)) (* l l))))
(if (<= t_m 5.1e+72)
(* (/ l k) (/ l (* k (* t_m (* t_m t_m)))))
(* l (/ l (* (* t_m k) (* k (* t_m t_m)))))))))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 <= 4.6e-69) {
tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l)));
} else if (t_m <= 5.1e+72) {
tmp = (l / k) * (l / (k * (t_m * (t_m * t_m))));
} else {
tmp = l * (l / ((t_m * k) * (k * (t_m * t_m))));
}
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 (t_m <= 4.6d-69) then
tmp = 2.0d0 / ((k * k) * ((t_m * (k * k)) / (l * l)))
else if (t_m <= 5.1d+72) then
tmp = (l / k) * (l / (k * (t_m * (t_m * t_m))))
else
tmp = l * (l / ((t_m * k) * (k * (t_m * t_m))))
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 (t_m <= 4.6e-69) {
tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l)));
} else if (t_m <= 5.1e+72) {
tmp = (l / k) * (l / (k * (t_m * (t_m * t_m))));
} else {
tmp = l * (l / ((t_m * k) * (k * (t_m * t_m))));
}
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 t_m <= 4.6e-69: tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l))) elif t_m <= 5.1e+72: tmp = (l / k) * (l / (k * (t_m * (t_m * t_m)))) else: tmp = l * (l / ((t_m * k) * (k * (t_m * t_m)))) 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 <= 4.6e-69) tmp = Float64(2.0 / Float64(Float64(k * k) * Float64(Float64(t_m * Float64(k * k)) / Float64(l * l)))); elseif (t_m <= 5.1e+72) tmp = Float64(Float64(l / k) * Float64(l / Float64(k * Float64(t_m * Float64(t_m * t_m))))); else tmp = Float64(l * Float64(l / Float64(Float64(t_m * k) * Float64(k * Float64(t_m * t_m))))); 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 (t_m <= 4.6e-69) tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l))); elseif (t_m <= 5.1e+72) tmp = (l / k) * (l / (k * (t_m * (t_m * t_m)))); else tmp = l * (l / ((t_m * k) * (k * (t_m * t_m)))); 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[t$95$m, 4.6e-69], N[(2.0 / N[(N[(k * k), $MachinePrecision] * N[(N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision] / N[(l * l), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5.1e+72], N[(N[(l / k), $MachinePrecision] * N[(l / N[(k * N[(t$95$m * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(l * N[(l / N[(N[(t$95$m * k), $MachinePrecision] * N[(k * N[(t$95$m * t$95$m), $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 4.6 \cdot 10^{-69}:\\
\;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot \frac{t\_m \cdot \left(k \cdot k\right)}{\ell \cdot \ell}}\\
\mathbf{elif}\;t\_m \leq 5.1 \cdot 10^{+72}:\\
\;\;\;\;\frac{\ell}{k} \cdot \frac{\ell}{k \cdot \left(t\_m \cdot \left(t\_m \cdot t\_m\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;\ell \cdot \frac{\ell}{\left(t\_m \cdot k\right) \cdot \left(k \cdot \left(t\_m \cdot t\_m\right)\right)}\\
\end{array}
\end{array}
if t < 4.6000000000000001e-69Initial program 47.4%
Taylor expanded in k around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-*l/N/A
associate-/l*N/A
lower-fma.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
Simplified51.4%
Taylor expanded in t around 0
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6455.0
Simplified55.0%
if 4.6000000000000001e-69 < t < 5.09999999999999977e72Initial program 71.7%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6452.6
Simplified52.6%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.7
Simplified54.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
times-fracN/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6466.0
Applied egg-rr66.0%
if 5.09999999999999977e72 < t Initial program 59.9%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6455.3
Simplified55.3%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6461.7
Simplified61.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6466.7
Applied egg-rr66.7%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f6474.6
Applied egg-rr74.6%
Final simplification60.7%
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 (<= k 9.5e+17)
(* l (/ (/ (/ l k) (* t_m k)) (* t_m t_m)))
(/ 2.0 (* (* k k) (/ (* t_m (* k k)) (* l l)))))))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 <= 9.5e+17) {
tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m));
} else {
tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l)));
}
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 <= 9.5d+17) then
tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m))
else
tmp = 2.0d0 / ((k * k) * ((t_m * (k * k)) / (l * l)))
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 <= 9.5e+17) {
tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m));
} else {
tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l)));
}
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 <= 9.5e+17: tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m)) else: tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l))) 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 <= 9.5e+17) tmp = Float64(l * Float64(Float64(Float64(l / k) / Float64(t_m * k)) / Float64(t_m * t_m))); else tmp = Float64(2.0 / Float64(Float64(k * k) * Float64(Float64(t_m * Float64(k * k)) / Float64(l * l)))); 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 <= 9.5e+17) tmp = l * (((l / k) / (t_m * k)) / (t_m * t_m)); else tmp = 2.0 / ((k * k) * ((t_m * (k * k)) / (l * l))); 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, 9.5e+17], N[(l * N[(N[(N[(l / k), $MachinePrecision] / N[(t$95$m * k), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(2.0 / N[(N[(k * k), $MachinePrecision] * N[(N[(t$95$m * N[(k * k), $MachinePrecision]), $MachinePrecision] / N[(l * l), $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 9.5 \cdot 10^{+17}:\\
\;\;\;\;\ell \cdot \frac{\frac{\frac{\ell}{k}}{t\_m \cdot k}}{t\_m \cdot t\_m}\\
\mathbf{else}:\\
\;\;\;\;\frac{2}{\left(k \cdot k\right) \cdot \frac{t\_m \cdot \left(k \cdot k\right)}{\ell \cdot \ell}}\\
\end{array}
\end{array}
if k < 9.5e17Initial program 59.2%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6455.8
Simplified55.8%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6460.2
Simplified60.2%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6463.5
Applied egg-rr63.5%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*r*N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6471.0
Applied egg-rr71.0%
if 9.5e17 < k Initial program 38.0%
Taylor expanded in k around 0
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-*l/N/A
associate-/l*N/A
lower-fma.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
*-commutativeN/A
associate-/l*N/A
lower-*.f64N/A
Simplified43.7%
Taylor expanded in t around 0
lower-/.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6449.8
Simplified49.8%
Final simplification65.6%
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 (* l (/ l (* (* t_m k) (* k (* t_m t_m)))))))
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 * k) * (k * (t_m * t_m)))));
}
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 * k) * (k * (t_m * t_m)))))
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 * k) * (k * (t_m * t_m)))));
}
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 * k) * (k * (t_m * t_m)))))
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(Float64(t_m * k) * Float64(k * Float64(t_m * t_m)))))) 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 * k) * (k * (t_m * t_m))))); 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[(N[(t$95$m * k), $MachinePrecision] * N[(k * N[(t$95$m * t$95$m), $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}{\left(t\_m \cdot k\right) \cdot \left(k \cdot \left(t\_m \cdot t\_m\right)\right)}\right)
\end{array}
Initial program 53.8%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6451.0
Simplified51.0%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.3
Simplified54.3%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6457.7
Applied egg-rr57.7%
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*r*N/A
lift-*.f64N/A
associate-*r*N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-*.f6461.6
Applied egg-rr61.6%
Final simplification61.6%
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 (* l (/ l (* k (* t_m (* k (* t_m t_m))))))))
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 * (k * (t_m * t_m))))));
}
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 * (k * (t_m * t_m))))))
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 * (k * (t_m * t_m))))));
}
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 * (k * (t_m * t_m))))))
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(k * Float64(t_m * t_m))))))) 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 * (k * (t_m * t_m)))))); 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[(k * N[(t$95$m * t$95$m), $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(k \cdot \left(t\_m \cdot t\_m\right)\right)\right)}\right)
\end{array}
Initial program 53.8%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6451.0
Simplified51.0%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.3
Simplified54.3%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6457.7
Applied egg-rr57.7%
associate-*r*N/A
lift-*.f64N/A
associate-*r*N/A
lower-*.f64N/A
lower-*.f6461.6
Applied egg-rr61.6%
Final simplification61.6%
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 (* l (/ l (* k (* k (* t_m (* t_m t_m))))))))
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 * (k * (t_m * (t_m * t_m))))));
}
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 * (k * (t_m * (t_m * t_m))))))
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 * (k * (t_m * (t_m * t_m))))));
}
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 * (k * (t_m * (t_m * t_m))))))
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(k * Float64(t_m * Float64(t_m * t_m))))))) 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 * (k * (t_m * (t_m * t_m)))))); 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[(k * N[(t$95$m * N[(t$95$m * t$95$m), $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(k \cdot \left(t\_m \cdot \left(t\_m \cdot t\_m\right)\right)\right)}\right)
\end{array}
Initial program 53.8%
Taylor expanded in k around 0
*-commutativeN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6451.0
Simplified51.0%
Taylor expanded in t around 0
lower-/.f64N/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6454.3
Simplified54.3%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/l*N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6457.7
Applied egg-rr57.7%
Final simplification57.7%
herbie shell --seed 2024215
(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))))