
(FPCore (x l t) :precision binary64 (/ (* (sqrt 2.0) t) (sqrt (- (* (/ (+ x 1.0) (- x 1.0)) (+ (* l l) (* 2.0 (* t t)))) (* l l)))))
double code(double x, double l, double t) {
return (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
real(8) function code(x, l, t)
real(8), intent (in) :: x
real(8), intent (in) :: l
real(8), intent (in) :: t
code = (sqrt(2.0d0) * t) / sqrt(((((x + 1.0d0) / (x - 1.0d0)) * ((l * l) + (2.0d0 * (t * t)))) - (l * l)))
end function
public static double code(double x, double l, double t) {
return (Math.sqrt(2.0) * t) / Math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
def code(x, l, t): return (math.sqrt(2.0) * t) / math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)))
function code(x, l, t) return Float64(Float64(sqrt(2.0) * t) / sqrt(Float64(Float64(Float64(Float64(x + 1.0) / Float64(x - 1.0)) * Float64(Float64(l * l) + Float64(2.0 * Float64(t * t)))) - Float64(l * l)))) end
function tmp = code(x, l, t) tmp = (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l))); end
code[x_, l_, t_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(x + 1.0), $MachinePrecision] / N[(x - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(l * l), $MachinePrecision] + N[(2.0 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(l * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{2} \cdot t}{\sqrt{\frac{x + 1}{x - 1} \cdot \left(\ell \cdot \ell + 2 \cdot \left(t \cdot t\right)\right) - \ell \cdot \ell}}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x l t) :precision binary64 (/ (* (sqrt 2.0) t) (sqrt (- (* (/ (+ x 1.0) (- x 1.0)) (+ (* l l) (* 2.0 (* t t)))) (* l l)))))
double code(double x, double l, double t) {
return (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
real(8) function code(x, l, t)
real(8), intent (in) :: x
real(8), intent (in) :: l
real(8), intent (in) :: t
code = (sqrt(2.0d0) * t) / sqrt(((((x + 1.0d0) / (x - 1.0d0)) * ((l * l) + (2.0d0 * (t * t)))) - (l * l)))
end function
public static double code(double x, double l, double t) {
return (Math.sqrt(2.0) * t) / Math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
def code(x, l, t): return (math.sqrt(2.0) * t) / math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)))
function code(x, l, t) return Float64(Float64(sqrt(2.0) * t) / sqrt(Float64(Float64(Float64(Float64(x + 1.0) / Float64(x - 1.0)) * Float64(Float64(l * l) + Float64(2.0 * Float64(t * t)))) - Float64(l * l)))) end
function tmp = code(x, l, t) tmp = (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l))); end
code[x_, l_, t_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(x + 1.0), $MachinePrecision] / N[(x - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(l * l), $MachinePrecision] + N[(2.0 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(l * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{2} \cdot t}{\sqrt{\frac{x + 1}{x - 1} \cdot \left(\ell \cdot \ell + 2 \cdot \left(t \cdot t\right)\right) - \ell \cdot \ell}}
\end{array}
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* t_m (sqrt 2.0)))
(t_3 (* 2.0 (* t_m t_m)))
(t_4 (+ (* l_m l_m) t_3)))
(*
t_s
(if (<= t_m 3.5e-221)
(* t_m (/ (sqrt (* 2.0 (/ x (+ 2.0 (/ 2.0 x))))) l_m))
(if (<= t_m 2.2e-156)
(/
t_2
(+
t_2
(*
(/ 0.5 (* t_m x))
(/ (* 2.0 (+ (* l_m l_m) (* t_m (* t_m 2.0)))) (sqrt 2.0)))))
(if (<= t_m 6.5e+92)
(*
t_m
(sqrt
(/
2.0
(+
t_3
(/
(+ (+ (/ t_3 x) (/ (* l_m l_m) x)) (+ (/ t_4 x) (+ t_4 t_4)))
x)))))
(+ 1.0 (/ -1.0 x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = t_m * sqrt(2.0);
double t_3 = 2.0 * (t_m * t_m);
double t_4 = (l_m * l_m) + t_3;
double tmp;
if (t_m <= 3.5e-221) {
tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 2.2e-156) {
tmp = t_2 / (t_2 + ((0.5 / (t_m * x)) * ((2.0 * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / sqrt(2.0))));
} else if (t_m <= 6.5e+92) {
tmp = t_m * sqrt((2.0 / (t_3 + ((((t_3 / x) + ((l_m * l_m) / x)) + ((t_4 / x) + (t_4 + t_4))) / x))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_2 = t_m * sqrt(2.0d0)
t_3 = 2.0d0 * (t_m * t_m)
t_4 = (l_m * l_m) + t_3
if (t_m <= 3.5d-221) then
tmp = t_m * (sqrt((2.0d0 * (x / (2.0d0 + (2.0d0 / x))))) / l_m)
else if (t_m <= 2.2d-156) then
tmp = t_2 / (t_2 + ((0.5d0 / (t_m * x)) * ((2.0d0 * ((l_m * l_m) + (t_m * (t_m * 2.0d0)))) / sqrt(2.0d0))))
else if (t_m <= 6.5d+92) then
tmp = t_m * sqrt((2.0d0 / (t_3 + ((((t_3 / x) + ((l_m * l_m) / x)) + ((t_4 / x) + (t_4 + t_4))) / x))))
else
tmp = 1.0d0 + ((-1.0d0) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = t_m * Math.sqrt(2.0);
double t_3 = 2.0 * (t_m * t_m);
double t_4 = (l_m * l_m) + t_3;
double tmp;
if (t_m <= 3.5e-221) {
tmp = t_m * (Math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 2.2e-156) {
tmp = t_2 / (t_2 + ((0.5 / (t_m * x)) * ((2.0 * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / Math.sqrt(2.0))));
} else if (t_m <= 6.5e+92) {
tmp = t_m * Math.sqrt((2.0 / (t_3 + ((((t_3 / x) + ((l_m * l_m) / x)) + ((t_4 / x) + (t_4 + t_4))) / x))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = t_m * math.sqrt(2.0) t_3 = 2.0 * (t_m * t_m) t_4 = (l_m * l_m) + t_3 tmp = 0 if t_m <= 3.5e-221: tmp = t_m * (math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m) elif t_m <= 2.2e-156: tmp = t_2 / (t_2 + ((0.5 / (t_m * x)) * ((2.0 * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / math.sqrt(2.0)))) elif t_m <= 6.5e+92: tmp = t_m * math.sqrt((2.0 / (t_3 + ((((t_3 / x) + ((l_m * l_m) / x)) + ((t_4 / x) + (t_4 + t_4))) / x)))) else: tmp = 1.0 + (-1.0 / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(t_m * sqrt(2.0)) t_3 = Float64(2.0 * Float64(t_m * t_m)) t_4 = Float64(Float64(l_m * l_m) + t_3) tmp = 0.0 if (t_m <= 3.5e-221) tmp = Float64(t_m * Float64(sqrt(Float64(2.0 * Float64(x / Float64(2.0 + Float64(2.0 / x))))) / l_m)); elseif (t_m <= 2.2e-156) tmp = Float64(t_2 / Float64(t_2 + Float64(Float64(0.5 / Float64(t_m * x)) * Float64(Float64(2.0 * Float64(Float64(l_m * l_m) + Float64(t_m * Float64(t_m * 2.0)))) / sqrt(2.0))))); elseif (t_m <= 6.5e+92) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(t_3 + Float64(Float64(Float64(Float64(t_3 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(Float64(t_4 / x) + Float64(t_4 + t_4))) / x))))); else tmp = Float64(1.0 + Float64(-1.0 / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = t_m * sqrt(2.0); t_3 = 2.0 * (t_m * t_m); t_4 = (l_m * l_m) + t_3; tmp = 0.0; if (t_m <= 3.5e-221) tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m); elseif (t_m <= 2.2e-156) tmp = t_2 / (t_2 + ((0.5 / (t_m * x)) * ((2.0 * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / sqrt(2.0)))); elseif (t_m <= 6.5e+92) tmp = t_m * sqrt((2.0 / (t_3 + ((((t_3 / x) + ((l_m * l_m) / x)) + ((t_4 / x) + (t_4 + t_4))) / x)))); else tmp = 1.0 + (-1.0 / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$3), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.5e-221], N[(t$95$m * N[(N[Sqrt[N[(2.0 * N[(x / N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.2e-156], N[(t$95$2 / N[(t$95$2 + N[(N[(0.5 / N[(t$95$m * x), $MachinePrecision]), $MachinePrecision] * N[(N[(2.0 * N[(N[(l$95$m * l$95$m), $MachinePrecision] + N[(t$95$m * N[(t$95$m * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.5e+92], N[(t$95$m * N[Sqrt[N[(2.0 / N[(t$95$3 + N[(N[(N[(N[(t$95$3 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$4 / x), $MachinePrecision] + N[(t$95$4 + t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := t\_m \cdot \sqrt{2}\\
t_3 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_4 := l\_m \cdot l\_m + t\_3\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.5 \cdot 10^{-221}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{2 \cdot \frac{x}{2 + \frac{2}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 2.2 \cdot 10^{-156}:\\
\;\;\;\;\frac{t\_2}{t\_2 + \frac{0.5}{t\_m \cdot x} \cdot \frac{2 \cdot \left(l\_m \cdot l\_m + t\_m \cdot \left(t\_m \cdot 2\right)\right)}{\sqrt{2}}}\\
\mathbf{elif}\;t\_m \leq 6.5 \cdot 10^{+92}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{t\_3 + \frac{\left(\frac{t\_3}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \left(\frac{t\_4}{x} + \left(t\_4 + t\_4\right)\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 3.4999999999999999e-221Initial program 36.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr36.4%
Taylor expanded in l around inf
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f649.4%
Simplified9.4%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6417.8%
Simplified17.8%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6419.4%
Applied egg-rr19.4%
if 3.4999999999999999e-221 < t < 2.1999999999999999e-156Initial program 9.8%
Taylor expanded in x around inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
associate-*r/N/A
associate-*r*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified77.2%
if 2.1999999999999999e-156 < t < 6.49999999999999999e92Initial program 58.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr58.7%
Taylor expanded in x around -inf
Simplified89.1%
if 6.49999999999999999e92 < t Initial program 24.5%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6493.5%
Simplified93.5%
Taylor expanded in x around inf
sub-negN/A
distribute-neg-fracN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f6493.6%
Simplified93.6%
Final simplification50.3%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* 2.0 (* t_m t_m))) (t_3 (+ (* l_m l_m) t_2)))
(*
t_s
(if (<= t_m 4.6e-203)
(* t_m (/ (sqrt (* 2.0 (/ x (+ 2.0 (/ 2.0 x))))) l_m))
(if (<= t_m 8.2e-157)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(if (<= t_m 2.6e+93)
(*
t_m
(sqrt
(/
2.0
(+
t_2
(/
(+ (+ (/ t_2 x) (/ (* l_m l_m) x)) (+ (/ t_3 x) (+ t_3 t_3)))
x)))))
(+ 1.0 (/ -1.0 x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 4.6e-203) {
tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 8.2e-157) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.6e+93) {
tmp = t_m * sqrt((2.0 / (t_2 + ((((t_2 / x) + ((l_m * l_m) / x)) + ((t_3 / x) + (t_3 + t_3))) / x))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = (l_m * l_m) + t_2
if (t_m <= 4.6d-203) then
tmp = t_m * (sqrt((2.0d0 * (x / (2.0d0 + (2.0d0 / x))))) / l_m)
else if (t_m <= 8.2d-157) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else if (t_m <= 2.6d+93) then
tmp = t_m * sqrt((2.0d0 / (t_2 + ((((t_2 / x) + ((l_m * l_m) / x)) + ((t_3 / x) + (t_3 + t_3))) / x))))
else
tmp = 1.0d0 + ((-1.0d0) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 4.6e-203) {
tmp = t_m * (Math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 8.2e-157) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.6e+93) {
tmp = t_m * Math.sqrt((2.0 / (t_2 + ((((t_2 / x) + ((l_m * l_m) / x)) + ((t_3 / x) + (t_3 + t_3))) / x))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) t_3 = (l_m * l_m) + t_2 tmp = 0 if t_m <= 4.6e-203: tmp = t_m * (math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m) elif t_m <= 8.2e-157: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) elif t_m <= 2.6e+93: tmp = t_m * math.sqrt((2.0 / (t_2 + ((((t_2 / x) + ((l_m * l_m) / x)) + ((t_3 / x) + (t_3 + t_3))) / x)))) else: tmp = 1.0 + (-1.0 / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(Float64(l_m * l_m) + t_2) tmp = 0.0 if (t_m <= 4.6e-203) tmp = Float64(t_m * Float64(sqrt(Float64(2.0 * Float64(x / Float64(2.0 + Float64(2.0 / x))))) / l_m)); elseif (t_m <= 8.2e-157) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); elseif (t_m <= 2.6e+93) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(t_2 + Float64(Float64(Float64(Float64(t_2 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(Float64(t_3 / x) + Float64(t_3 + t_3))) / x))))); else tmp = Float64(1.0 + Float64(-1.0 / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); t_3 = (l_m * l_m) + t_2; tmp = 0.0; if (t_m <= 4.6e-203) tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m); elseif (t_m <= 8.2e-157) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); elseif (t_m <= 2.6e+93) tmp = t_m * sqrt((2.0 / (t_2 + ((((t_2 / x) + ((l_m * l_m) / x)) + ((t_3 / x) + (t_3 + t_3))) / x)))); else tmp = 1.0 + (-1.0 / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 4.6e-203], N[(t$95$m * N[(N[Sqrt[N[(2.0 * N[(x / N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 8.2e-157], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.6e+93], N[(t$95$m * N[Sqrt[N[(2.0 / N[(t$95$2 + N[(N[(N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(N[(t$95$3 / x), $MachinePrecision] + N[(t$95$3 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := l\_m \cdot l\_m + t\_2\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.6 \cdot 10^{-203}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{2 \cdot \frac{x}{2 + \frac{2}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 8.2 \cdot 10^{-157}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{elif}\;t\_m \leq 2.6 \cdot 10^{+93}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{t\_2 + \frac{\left(\frac{t\_2}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \left(\frac{t\_3}{x} + \left(t\_3 + t\_3\right)\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 4.59999999999999983e-203Initial program 35.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr35.4%
Taylor expanded in l around inf
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.5%
Simplified10.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6418.7%
Simplified18.7%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6420.3%
Applied egg-rr20.3%
if 4.59999999999999983e-203 < t < 8.2000000000000004e-157Initial program 13.2%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6471.2%
Simplified71.2%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified71.4%
if 8.2000000000000004e-157 < t < 2.6e93Initial program 58.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr58.7%
Taylor expanded in x around -inf
Simplified89.1%
if 2.6e93 < t Initial program 24.5%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6493.5%
Simplified93.5%
Taylor expanded in x around inf
sub-negN/A
distribute-neg-fracN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f6493.6%
Simplified93.6%
Final simplification49.6%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* 2.0 (* t_m t_m))))
(*
t_s
(if (<= t_m 1.16e-203)
(* t_m (/ (sqrt (* 2.0 (/ x (+ 2.0 (/ 2.0 x))))) l_m))
(if (<= t_m 1.75e-156)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(if (<= t_m 2.2e+93)
(*
t_m
(sqrt
(/
2.0
(+
(/ t_2 x)
(+ (/ (+ (* l_m l_m) t_2) x) (+ t_2 (/ (* l_m l_m) x)))))))
(+ 1.0 (/ -1.0 x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 1.16e-203) {
tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 1.75e-156) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.2e+93) {
tmp = t_m * sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
if (t_m <= 1.16d-203) then
tmp = t_m * (sqrt((2.0d0 * (x / (2.0d0 + (2.0d0 / x))))) / l_m)
else if (t_m <= 1.75d-156) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else if (t_m <= 2.2d+93) then
tmp = t_m * sqrt((2.0d0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))))
else
tmp = 1.0d0 + ((-1.0d0) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 1.16e-203) {
tmp = t_m * (Math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
} else if (t_m <= 1.75e-156) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.2e+93) {
tmp = t_m * Math.sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = 1.0 + (-1.0 / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) tmp = 0 if t_m <= 1.16e-203: tmp = t_m * (math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m) elif t_m <= 1.75e-156: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) elif t_m <= 2.2e+93: tmp = t_m * math.sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x)))))) else: tmp = 1.0 + (-1.0 / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) tmp = 0.0 if (t_m <= 1.16e-203) tmp = Float64(t_m * Float64(sqrt(Float64(2.0 * Float64(x / Float64(2.0 + Float64(2.0 / x))))) / l_m)); elseif (t_m <= 1.75e-156) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); elseif (t_m <= 2.2e+93) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(t_2 / x) + Float64(Float64(Float64(Float64(l_m * l_m) + t_2) / x) + Float64(t_2 + Float64(Float64(l_m * l_m) / x))))))); else tmp = Float64(1.0 + Float64(-1.0 / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); tmp = 0.0; if (t_m <= 1.16e-203) tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m); elseif (t_m <= 1.75e-156) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); elseif (t_m <= 2.2e+93) tmp = t_m * sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x)))))); else tmp = 1.0 + (-1.0 / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.16e-203], N[(t$95$m * N[(N[Sqrt[N[(2.0 * N[(x / N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.75e-156], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.2e+93], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision] / x), $MachinePrecision] + N[(t$95$2 + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.16 \cdot 10^{-203}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{2 \cdot \frac{x}{2 + \frac{2}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 1.75 \cdot 10^{-156}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{elif}\;t\_m \leq 2.2 \cdot 10^{+93}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{\frac{t\_2}{x} + \left(\frac{l\_m \cdot l\_m + t\_2}{x} + \left(t\_2 + \frac{l\_m \cdot l\_m}{x}\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 1.16000000000000004e-203Initial program 35.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr35.4%
Taylor expanded in l around inf
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.5%
Simplified10.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6418.7%
Simplified18.7%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6420.3%
Applied egg-rr20.3%
if 1.16000000000000004e-203 < t < 1.75e-156Initial program 13.2%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6471.2%
Simplified71.2%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified71.4%
if 1.75e-156 < t < 2.20000000000000021e93Initial program 58.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr58.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
mul-1-negN/A
remove-double-negN/A
+-lowering-+.f64N/A
Simplified88.7%
if 2.20000000000000021e93 < t Initial program 24.5%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6493.5%
Simplified93.5%
Taylor expanded in x around inf
sub-negN/A
distribute-neg-fracN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f6493.6%
Simplified93.6%
Final simplification49.6%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= l_m 5.6e+194)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(* t_m (/ (sqrt (* 2.0 (/ x (+ 2.0 (/ 2.0 x))))) l_m)))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 5.6e+194) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else {
tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 5.6d+194) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else
tmp = t_m * (sqrt((2.0d0 * (x / (2.0d0 + (2.0d0 / x))))) / l_m)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 5.6e+194) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else {
tmp = t_m * (Math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 5.6e+194: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) else: tmp = t_m * (math.sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 5.6e+194) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); else tmp = Float64(t_m * Float64(sqrt(Float64(2.0 * Float64(x / Float64(2.0 + Float64(2.0 / x))))) / l_m)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 5.6e+194) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); else tmp = t_m * (sqrt((2.0 * (x / (2.0 + (2.0 / x))))) / l_m); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 5.6e+194], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(t$95$m * N[(N[Sqrt[N[(2.0 * N[(x / N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;l\_m \leq 5.6 \cdot 10^{+194}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{else}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{2 \cdot \frac{x}{2 + \frac{2}{x}}}}{l\_m}\\
\end{array}
\end{array}
if l < 5.60000000000000021e194Initial program 40.3%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6439.4%
Simplified39.4%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified39.4%
if 5.60000000000000021e194 < l Initial program 0.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr0.0%
Taylor expanded in l around inf
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6448.7%
Simplified48.7%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6481.2%
Simplified81.2%
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
clear-numN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6482.5%
Applied egg-rr82.5%
Final simplification42.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= t_m 1.7e-204)
(* t_m (sqrt (/ (* 2.0 x) (* 2.0 (* l_m l_m)))))
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x)))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (t_m <= 1.7e-204) {
tmp = t_m * sqrt(((2.0 * x) / (2.0 * (l_m * l_m))));
} else {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (t_m <= 1.7d-204) then
tmp = t_m * sqrt(((2.0d0 * x) / (2.0d0 * (l_m * l_m))))
else
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (t_m <= 1.7e-204) {
tmp = t_m * Math.sqrt(((2.0 * x) / (2.0 * (l_m * l_m))));
} else {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if t_m <= 1.7e-204: tmp = t_m * math.sqrt(((2.0 * x) / (2.0 * (l_m * l_m)))) else: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (t_m <= 1.7e-204) tmp = Float64(t_m * sqrt(Float64(Float64(2.0 * x) / Float64(2.0 * Float64(l_m * l_m))))); else tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (t_m <= 1.7e-204) tmp = t_m * sqrt(((2.0 * x) / (2.0 * (l_m * l_m)))); else tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 1.7e-204], N[(t$95$m * N[Sqrt[N[(N[(2.0 * x), $MachinePrecision] / N[(2.0 * N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.7 \cdot 10^{-204}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2 \cdot x}{2 \cdot \left(l\_m \cdot l\_m\right)}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\end{array}
\end{array}
if t < 1.7000000000000001e-204Initial program 35.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr35.4%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f642.5%
Simplified2.5%
Taylor expanded in x around inf
*-commutativeN/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-rgt1-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6422.1%
Simplified22.1%
if 1.7000000000000001e-204 < t Initial program 40.9%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6483.4%
Simplified83.4%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified83.4%
Final simplification48.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= t_m 6.8e-203)
(* t_m (sqrt (/ 2.0 (/ (* 2.0 (* l_m l_m)) x))))
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x)))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (t_m <= 6.8e-203) {
tmp = t_m * sqrt((2.0 / ((2.0 * (l_m * l_m)) / x)));
} else {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (t_m <= 6.8d-203) then
tmp = t_m * sqrt((2.0d0 / ((2.0d0 * (l_m * l_m)) / x)))
else
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (t_m <= 6.8e-203) {
tmp = t_m * Math.sqrt((2.0 / ((2.0 * (l_m * l_m)) / x)));
} else {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if t_m <= 6.8e-203: tmp = t_m * math.sqrt((2.0 / ((2.0 * (l_m * l_m)) / x))) else: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (t_m <= 6.8e-203) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(2.0 * Float64(l_m * l_m)) / x)))); else tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (t_m <= 6.8e-203) tmp = t_m * sqrt((2.0 / ((2.0 * (l_m * l_m)) / x))); else tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 6.8e-203], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(2.0 * N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 6.8 \cdot 10^{-203}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{\frac{2 \cdot \left(l\_m \cdot l\_m\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\end{array}
\end{array}
if t < 6.7999999999999998e-203Initial program 35.2%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr35.4%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f642.5%
Simplified2.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
distribute-rgt1-inN/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6422.1%
Simplified22.1%
if 6.7999999999999998e-203 < t Initial program 40.9%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6483.4%
Simplified83.4%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified83.4%
Final simplification48.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= l_m 1.3e+235)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(* t_m (sqrt (/ 2.0 (* (* l_m l_m) -2.0)))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 1.3e+235) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else {
tmp = t_m * sqrt((2.0 / ((l_m * l_m) * -2.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 1.3d+235) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else
tmp = t_m * sqrt((2.0d0 / ((l_m * l_m) * (-2.0d0))))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 1.3e+235) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else {
tmp = t_m * Math.sqrt((2.0 / ((l_m * l_m) * -2.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 1.3e+235: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) else: tmp = t_m * math.sqrt((2.0 / ((l_m * l_m) * -2.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 1.3e+235) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); else tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(l_m * l_m) * -2.0)))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 1.3e+235) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); else tmp = t_m * sqrt((2.0 / ((l_m * l_m) * -2.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 1.3e+235], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(l$95$m * l$95$m), $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;l\_m \leq 1.3 \cdot 10^{+235}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{else}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{\left(l\_m \cdot l\_m\right) \cdot -2}}\\
\end{array}
\end{array}
if l < 1.2999999999999999e235Initial program 39.4%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6438.9%
Simplified38.9%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified38.9%
if 1.2999999999999999e235 < l Initial program 0.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr0.0%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f640.0%
Simplified0.0%
Taylor expanded in x around 0
sub-negN/A
mul-1-negN/A
distribute-rgt-outN/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6447.4%
Simplified47.4%
Final simplification39.3%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x));
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * (1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x))
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x));
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x))
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x))) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x)); end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(1 + \frac{-1 - \frac{-0.5}{x}}{x}\right)
\end{array}
Initial program 37.7%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6437.8%
Simplified37.8%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified37.8%
Final simplification37.8%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ -1.0 x))))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * (1.0d0 + ((-1.0d0) / x))
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * (1.0 + (-1.0 / x))
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * Float64(1.0 + Float64(-1.0 / x))) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * (1.0 + (-1.0 / x)); end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(1 + \frac{-1}{x}\right)
\end{array}
Initial program 37.7%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6437.8%
Simplified37.8%
Taylor expanded in x around inf
sub-negN/A
distribute-neg-fracN/A
metadata-evalN/A
+-lowering-+.f64N/A
/-lowering-/.f6437.7%
Simplified37.7%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s 1.0))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * 1.0;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * 1.0d0
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * 1.0;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * 1.0
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * 1.0) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * 1.0; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * 1.0), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot 1
\end{array}
Initial program 37.7%
Taylor expanded in x around inf
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6445.0%
Simplified45.0%
associate-*r*N/A
sqrt-prodN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
*-commutativeN/A
*-inverses37.3%
Applied egg-rr37.3%
herbie shell --seed 2024191
(FPCore (x l t)
:name "Toniolo and Linder, Equation (7)"
:precision binary64
(/ (* (sqrt 2.0) t) (sqrt (- (* (/ (+ x 1.0) (- x 1.0)) (+ (* l l) (* 2.0 (* t t)))) (* l l)))))