
(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 11 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 (* 2.0 (* t_m t_m))) (t_3 (+ t_2 (* l_m l_m))))
(*
t_s
(if (<= t_m 1.32e-165)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(if (<= t_m 25000000000.0)
(/
(* t_m (sqrt 2.0))
(sqrt
(+
t_2
(/
(-
(/
(+ (* 2.0 t_3) (+ (+ (/ t_2 x) (/ (* l_m l_m) x)) (/ t_3 x)))
x)
(* t_3 -2.0))
x))))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 1.32e-165) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 25000000000.0) {
tmp = (t_m * sqrt(2.0)) / sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x)));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = t_2 + (l_m * l_m)
if (t_m <= 1.32d-165) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else if (t_m <= 25000000000.0d0) then
tmp = (t_m * sqrt(2.0d0)) / sqrt((t_2 + (((((2.0d0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * (-2.0d0))) / x)))
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 1.32e-165) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 25000000000.0) {
tmp = (t_m * Math.sqrt(2.0)) / Math.sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x)));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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): t_2 = 2.0 * (t_m * t_m) t_3 = t_2 + (l_m * l_m) tmp = 0 if t_m <= 1.32e-165: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m elif t_m <= 25000000000.0: tmp = (t_m * math.sqrt(2.0)) / math.sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x))) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(t_2 + Float64(l_m * l_m)) tmp = 0.0 if (t_m <= 1.32e-165) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); elseif (t_m <= 25000000000.0) tmp = Float64(Float64(t_m * sqrt(2.0)) / sqrt(Float64(t_2 + Float64(Float64(Float64(Float64(Float64(2.0 * t_3) + Float64(Float64(Float64(t_2 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(t_3 / x))) / x) - Float64(t_3 * -2.0)) / x)))); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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) t_2 = 2.0 * (t_m * t_m); t_3 = t_2 + (l_m * l_m); tmp = 0.0; if (t_m <= 1.32e-165) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; elseif (t_m <= 25000000000.0) tmp = (t_m * sqrt(2.0)) / sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x))); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.32e-165], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 25000000000.0], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[(2.0 * t$95$3), $MachinePrecision] + N[(N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - N[(t$95$3 * -2.0), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := t\_2 + l\_m \cdot l\_m\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.32 \cdot 10^{-165}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 25000000000:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{\sqrt{t\_2 + \frac{\frac{2 \cdot t\_3 + \left(\left(\frac{t\_2}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \frac{t\_3}{x}\right)}{x} - t\_3 \cdot -2}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
\end{array}
if t < 1.32000000000000007e-165Initial program 28.8%
*-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-rr28.8%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.1%
Simplified10.1%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6417.4%
Simplified17.4%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.0%
if 1.32000000000000007e-165 < t < 2.5e10Initial program 29.5%
Taylor expanded in x around -inf
Simplified80.2%
if 2.5e10 < t Initial program 34.3%
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-+.f6498.7%
Simplified98.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification47.6%
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_3 (+ t_2 (* l_m l_m))))
(*
t_s
(if (<= t_m 1.32e-165)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(if (<= t_m 15200000000.0)
(/
(* t_m (sqrt 2.0))
(sqrt
(-
t_2
(/
(- (- (* t_3 -2.0) (/ t_3 x)) (+ (/ t_2 x) (/ (* l_m l_m) x)))
x))))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 1.32e-165) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 15200000000.0) {
tmp = (t_m * sqrt(2.0)) / sqrt((t_2 - ((((t_3 * -2.0) - (t_3 / x)) - ((t_2 / x) + ((l_m * l_m) / x))) / x)));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = t_2 + (l_m * l_m)
if (t_m <= 1.32d-165) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else if (t_m <= 15200000000.0d0) then
tmp = (t_m * sqrt(2.0d0)) / sqrt((t_2 - ((((t_3 * (-2.0d0)) - (t_3 / x)) - ((t_2 / x) + ((l_m * l_m) / x))) / x)))
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 1.32e-165) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 15200000000.0) {
tmp = (t_m * Math.sqrt(2.0)) / Math.sqrt((t_2 - ((((t_3 * -2.0) - (t_3 / x)) - ((t_2 / x) + ((l_m * l_m) / x))) / x)));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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): t_2 = 2.0 * (t_m * t_m) t_3 = t_2 + (l_m * l_m) tmp = 0 if t_m <= 1.32e-165: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m elif t_m <= 15200000000.0: tmp = (t_m * math.sqrt(2.0)) / math.sqrt((t_2 - ((((t_3 * -2.0) - (t_3 / x)) - ((t_2 / x) + ((l_m * l_m) / x))) / x))) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(t_2 + Float64(l_m * l_m)) tmp = 0.0 if (t_m <= 1.32e-165) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); elseif (t_m <= 15200000000.0) tmp = Float64(Float64(t_m * sqrt(2.0)) / sqrt(Float64(t_2 - Float64(Float64(Float64(Float64(t_3 * -2.0) - Float64(t_3 / x)) - Float64(Float64(t_2 / x) + Float64(Float64(l_m * l_m) / x))) / x)))); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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) t_2 = 2.0 * (t_m * t_m); t_3 = t_2 + (l_m * l_m); tmp = 0.0; if (t_m <= 1.32e-165) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; elseif (t_m <= 15200000000.0) tmp = (t_m * sqrt(2.0)) / sqrt((t_2 - ((((t_3 * -2.0) - (t_3 / x)) - ((t_2 / x) + ((l_m * l_m) / x))) / x))); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.32e-165], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 15200000000.0], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(t$95$2 - N[(N[(N[(N[(t$95$3 * -2.0), $MachinePrecision] - N[(t$95$3 / x), $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := t\_2 + l\_m \cdot l\_m\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.32 \cdot 10^{-165}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 15200000000:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{\sqrt{t\_2 - \frac{\left(t\_3 \cdot -2 - \frac{t\_3}{x}\right) - \left(\frac{t\_2}{x} + \frac{l\_m \cdot l\_m}{x}\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
\end{array}
if t < 1.32000000000000007e-165Initial program 28.8%
*-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-rr28.8%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.1%
Simplified10.1%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6417.4%
Simplified17.4%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.0%
if 1.32000000000000007e-165 < t < 1.52e10Initial program 29.5%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified80.2%
if 1.52e10 < t Initial program 34.3%
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-+.f6498.7%
Simplified98.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification47.6%
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 (<= t_m 1.32e-165)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(if (<= t_m 15200000000.0)
(/
(* t_m (sqrt 2.0))
(sqrt
(+
(/ (+ (* 2.0 (* t_m t_m)) (* l_m l_m)) x)
(+ (/ (* l_m l_m) x) (* 2.0 (+ (* t_m t_m) (/ (* t_m t_m) x)))))))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 <= 1.32e-165) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 15200000000.0) {
tmp = (t_m * sqrt(2.0)) / sqrt(((((2.0 * (t_m * t_m)) + (l_m * l_m)) / x) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) + ((t_m * t_m) / x))))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 1.32d-165) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else if (t_m <= 15200000000.0d0) then
tmp = (t_m * sqrt(2.0d0)) / sqrt(((((2.0d0 * (t_m * t_m)) + (l_m * l_m)) / x) + (((l_m * l_m) / x) + (2.0d0 * ((t_m * t_m) + ((t_m * t_m) / x))))))
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 <= 1.32e-165) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 15200000000.0) {
tmp = (t_m * Math.sqrt(2.0)) / Math.sqrt(((((2.0 * (t_m * t_m)) + (l_m * l_m)) / x) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) + ((t_m * t_m) / x))))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 1.32e-165: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m elif t_m <= 15200000000.0: tmp = (t_m * math.sqrt(2.0)) / math.sqrt(((((2.0 * (t_m * t_m)) + (l_m * l_m)) / x) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) + ((t_m * t_m) / x)))))) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 1.32e-165) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); elseif (t_m <= 15200000000.0) tmp = Float64(Float64(t_m * sqrt(2.0)) / sqrt(Float64(Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) + Float64(l_m * l_m)) / x) + Float64(Float64(Float64(l_m * l_m) / x) + Float64(2.0 * Float64(Float64(t_m * t_m) + Float64(Float64(t_m * t_m) / x))))))); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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 <= 1.32e-165) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; elseif (t_m <= 15200000000.0) tmp = (t_m * sqrt(2.0)) / sqrt(((((2.0 * (t_m * t_m)) + (l_m * l_m)) / x) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) + ((t_m * t_m) / x)))))); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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, 1.32e-165], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 15200000000.0], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision] + N[(2.0 * N[(N[(t$95$m * t$95$m), $MachinePrecision] + N[(N[(t$95$m * t$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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}\;t\_m \leq 1.32 \cdot 10^{-165}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 15200000000:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{\sqrt{\frac{2 \cdot \left(t\_m \cdot t\_m\right) + l\_m \cdot l\_m}{x} + \left(\frac{l\_m \cdot l\_m}{x} + 2 \cdot \left(t\_m \cdot t\_m + \frac{t\_m \cdot t\_m}{x}\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
if t < 1.32000000000000007e-165Initial program 28.8%
*-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-rr28.8%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.1%
Simplified10.1%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6417.4%
Simplified17.4%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.0%
if 1.32000000000000007e-165 < t < 1.52e10Initial program 29.5%
Taylor expanded in x around inf
cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
+-lowering-+.f64N/A
Simplified78.9%
if 1.52e10 < t Initial program 34.3%
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-+.f6498.7%
Simplified98.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification47.5%
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 (+ t_2 (* l_m l_m))))
(*
t_s
(if (<= t_m 9.6e-151)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(if (<= t_m 25000000000.0)
(*
t_m
(sqrt
(/
2.0
(+
t_2
(/
(+
(+ (/ t_3 x) (+ t_2 (+ (* l_m l_m) t_3)))
(+ (/ (* l_m l_m) x) (* 2.0 (/ (* t_m t_m) x))))
x)))))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 9.6e-151) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 25000000000.0) {
tmp = t_m * sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_2 + ((l_m * l_m) + t_3))) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = t_2 + (l_m * l_m)
if (t_m <= 9.6d-151) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else if (t_m <= 25000000000.0d0) then
tmp = t_m * sqrt((2.0d0 / (t_2 + ((((t_3 / x) + (t_2 + ((l_m * l_m) + t_3))) + (((l_m * l_m) / x) + (2.0d0 * ((t_m * t_m) / x)))) / x))))
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 t_2 = 2.0 * (t_m * t_m);
double t_3 = t_2 + (l_m * l_m);
double tmp;
if (t_m <= 9.6e-151) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 25000000000.0) {
tmp = t_m * Math.sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_2 + ((l_m * l_m) + t_3))) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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): t_2 = 2.0 * (t_m * t_m) t_3 = t_2 + (l_m * l_m) tmp = 0 if t_m <= 9.6e-151: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m elif t_m <= 25000000000.0: tmp = t_m * math.sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_2 + ((l_m * l_m) + t_3))) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x)))) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(t_2 + Float64(l_m * l_m)) tmp = 0.0 if (t_m <= 9.6e-151) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); elseif (t_m <= 25000000000.0) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(t_2 + Float64(Float64(Float64(Float64(t_3 / x) + Float64(t_2 + Float64(Float64(l_m * l_m) + t_3))) + Float64(Float64(Float64(l_m * l_m) / x) + Float64(2.0 * Float64(Float64(t_m * t_m) / x)))) / x))))); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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) t_2 = 2.0 * (t_m * t_m); t_3 = t_2 + (l_m * l_m); tmp = 0.0; if (t_m <= 9.6e-151) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; elseif (t_m <= 25000000000.0) tmp = t_m * sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_2 + ((l_m * l_m) + t_3))) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x)))); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 9.6e-151], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 25000000000.0], N[(t$95$m * N[Sqrt[N[(2.0 / N[(t$95$2 + N[(N[(N[(N[(t$95$3 / x), $MachinePrecision] + N[(t$95$2 + N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision] + N[(2.0 * N[(N[(t$95$m * t$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := t\_2 + l\_m \cdot l\_m\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9.6 \cdot 10^{-151}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 25000000000:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{t\_2 + \frac{\left(\frac{t\_3}{x} + \left(t\_2 + \left(l\_m \cdot l\_m + t\_3\right)\right)\right) + \left(\frac{l\_m \cdot l\_m}{x} + 2 \cdot \frac{t\_m \cdot t\_m}{x}\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
\end{array}
if t < 9.6e-151Initial program 28.1%
*-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-rr28.2%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.2%
Simplified10.2%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6418.2%
Simplified18.2%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.8%
if 9.6e-151 < t < 2.5e10Initial program 34.1%
*-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-rr34.5%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
Simplified79.0%
if 2.5e10 < t Initial program 34.3%
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-+.f6498.7%
Simplified98.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification47.0%
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 9.6e-151)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(if (<= t_m 20000000000.0)
(*
t_m
(sqrt
(/
2.0
(+
(* 2.0 (/ (* t_m t_m) x))
(+ (/ (+ t_2 (* l_m l_m)) x) (+ t_2 (/ (* l_m l_m) x)))))))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 9.6e-151) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 20000000000.0) {
tmp = t_m * sqrt((2.0 / ((2.0 * ((t_m * t_m) / x)) + (((t_2 + (l_m * l_m)) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) :: t_2
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
if (t_m <= 9.6d-151) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else if (t_m <= 20000000000.0d0) then
tmp = t_m * sqrt((2.0d0 / ((2.0d0 * ((t_m * t_m) / x)) + (((t_2 + (l_m * l_m)) / x) + (t_2 + ((l_m * l_m) / x))))))
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 9.6e-151) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else if (t_m <= 20000000000.0) {
tmp = t_m * Math.sqrt((2.0 / ((2.0 * ((t_m * t_m) / x)) + (((t_2 + (l_m * l_m)) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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): t_2 = 2.0 * (t_m * t_m) tmp = 0 if t_m <= 9.6e-151: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m elif t_m <= 20000000000.0: tmp = t_m * math.sqrt((2.0 / ((2.0 * ((t_m * t_m) / x)) + (((t_2 + (l_m * l_m)) / x) + (t_2 + ((l_m * l_m) / x)))))) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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) t_2 = Float64(2.0 * Float64(t_m * t_m)) tmp = 0.0 if (t_m <= 9.6e-151) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); elseif (t_m <= 20000000000.0) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(2.0 * Float64(Float64(t_m * t_m) / x)) + Float64(Float64(Float64(t_2 + Float64(l_m * l_m)) / x) + Float64(t_2 + Float64(Float64(l_m * l_m) / x))))))); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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) t_2 = 2.0 * (t_m * t_m); tmp = 0.0; if (t_m <= 9.6e-151) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; elseif (t_m <= 20000000000.0) tmp = t_m * sqrt((2.0 / ((2.0 * ((t_m * t_m) / x)) + (((t_2 + (l_m * l_m)) / x) + (t_2 + ((l_m * l_m) / x)))))); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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_] := 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, 9.6e-151], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 20000000000.0], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(2.0 * N[(N[(t$95$m * t$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $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[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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)
\\
\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 9.6 \cdot 10^{-151}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 20000000000:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{2 \cdot \frac{t\_m \cdot t\_m}{x} + \left(\frac{t\_2 + l\_m \cdot l\_m}{x} + \left(t\_2 + \frac{l\_m \cdot l\_m}{x}\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
\end{array}
if t < 9.6e-151Initial program 28.1%
*-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-rr28.2%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.2%
Simplified10.2%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6418.2%
Simplified18.2%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.8%
if 9.6e-151 < t < 2e10Initial program 34.1%
*-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-rr34.5%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
Simplified77.5%
if 2e10 < t Initial program 34.3%
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-+.f6498.7%
Simplified98.7%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification46.9%
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 8.8e-157)
(/
(*
t_m
(sqrt
(*
2.0
(/
1.0
(+
(/ 1.0 (+ x -1.0))
(/ (+ 1.0 (* (/ 1.0 x) (+ 1.0 (/ 1.0 x)))) x))))))
l_m)
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 <= 8.8e-157) {
tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 8.8d-157) then
tmp = (t_m * sqrt((2.0d0 * (1.0d0 / ((1.0d0 / (x + (-1.0d0))) + ((1.0d0 + ((1.0d0 / x) * (1.0d0 + (1.0d0 / x)))) / x)))))) / l_m
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 <= 8.8e-157) {
tmp = (t_m * Math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m;
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 8.8e-157: tmp = (t_m * math.sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 8.8e-157) tmp = Float64(Float64(t_m * sqrt(Float64(2.0 * Float64(1.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(Float64(1.0 + Float64(Float64(1.0 / x) * Float64(1.0 + Float64(1.0 / x)))) / x)))))) / l_m); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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 <= 8.8e-157) tmp = (t_m * sqrt((2.0 * (1.0 / ((1.0 / (x + -1.0)) + ((1.0 + ((1.0 / x) * (1.0 + (1.0 / x)))) / x)))))) / l_m; else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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, 8.8e-157], N[(N[(t$95$m * N[Sqrt[N[(2.0 * N[(1.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 + N[(N[(1.0 / x), $MachinePrecision] * N[(1.0 + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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}\;t\_m \leq 8.8 \cdot 10^{-157}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2 \cdot \frac{1}{\frac{1}{x + -1} + \frac{1 + \frac{1}{x} \cdot \left(1 + \frac{1}{x}\right)}{x}}}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
if t < 8.80000000000000041e-157Initial program 28.1%
*-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-rr28.2%
Taylor expanded in l around inf
*-lowering-*.f64N/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
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.2%
Simplified10.2%
Taylor expanded in x around inf
/-lowering-/.f64N/A
associate-+r+N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6418.2%
Simplified18.2%
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr18.8%
if 8.80000000000000041e-157 < t Initial program 34.2%
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-+.f6488.2%
Simplified88.2%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6488.3%
Simplified88.3%
Final simplification44.9%
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 3.4e-157)
(* t_m (/ (sqrt (/ 2.0 (+ (/ 1.0 (+ x -1.0)) (/ 1.0 x)))) l_m))
(+ 1.0 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 <= 3.4e-157) {
tmp = t_m * (sqrt((2.0 / ((1.0 / (x + -1.0)) + (1.0 / x)))) / l_m);
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 3.4d-157) then
tmp = t_m * (sqrt((2.0d0 / ((1.0d0 / (x + (-1.0d0))) + (1.0d0 / x)))) / l_m)
else
tmp = 1.0d0 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 <= 3.4e-157) {
tmp = t_m * (Math.sqrt((2.0 / ((1.0 / (x + -1.0)) + (1.0 / x)))) / l_m);
} else {
tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 3.4e-157: tmp = t_m * (math.sqrt((2.0 / ((1.0 / (x + -1.0)) + (1.0 / x)))) / l_m) else: tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 <= 3.4e-157) tmp = Float64(t_m * Float64(sqrt(Float64(2.0 / Float64(Float64(1.0 / Float64(x + -1.0)) + Float64(1.0 / x)))) / l_m)); else tmp = Float64(1.0 + Float64(Float64(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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 <= 3.4e-157) tmp = t_m * (sqrt((2.0 / ((1.0 / (x + -1.0)) + (1.0 / x)))) / l_m); else tmp = 1.0 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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, 3.4e-157], N[(t$95$m * N[(N[Sqrt[N[(2.0 / N[(N[(1.0 / N[(x + -1.0), $MachinePrecision]), $MachinePrecision] + N[(1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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}\;t\_m \leq 3.4 \cdot 10^{-157}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{\frac{2}{\frac{1}{x + -1} + \frac{1}{x}}}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\\
\end{array}
\end{array}
if t < 3.39999999999999977e-157Initial program 28.1%
*-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-rr28.2%
Taylor expanded in l around inf
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6410.4%
Simplified10.4%
Taylor expanded in x around inf
/-lowering-/.f6418.6%
Simplified18.6%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr18.0%
if 3.39999999999999977e-157 < t Initial program 34.2%
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-+.f6488.2%
Simplified88.2%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6488.3%
Simplified88.3%
Final simplification44.4%
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 (+ (/ 0.5 (* x x)) (- (/ -1.0 x) (/ 0.5 (* x (* 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 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 + ((0.5d0 / (x * x)) + (((-1.0d0) / x) - (0.5d0 / (x * (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 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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(0.5 / Float64(x * x)) + Float64(Float64(-1.0 / x) - Float64(0.5 / Float64(x * Float64(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 + ((0.5 / (x * x)) + ((-1.0 / x) - (0.5 / (x * (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[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.0 / x), $MachinePrecision] - N[(0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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 \left(1 + \left(\frac{0.5}{x \cdot x} + \left(\frac{-1}{x} - \frac{0.5}{x \cdot \left(x \cdot x\right)}\right)\right)\right)
\end{array}
Initial program 30.4%
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-+.f6438.6%
Simplified38.6%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6438.6%
Simplified38.6%
Final simplification38.6%
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 (+ 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 30.4%
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-+.f6438.6%
Simplified38.6%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6438.6%
Simplified38.6%
Taylor expanded in x around inf
sub-negN/A
+-commutativeN/A
associate-+r+N/A
+-commutativeN/A
sub-negN/A
associate--r-N/A
unpow2N/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
div-subN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6438.6%
Simplified38.6%
Final simplification38.6%
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 (+ 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 30.4%
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-+.f6438.6%
Simplified38.6%
Taylor expanded in x around inf
--lowering--.f64N/A
/-lowering-/.f6438.6%
Simplified38.6%
Final simplification38.6%
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 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 30.4%
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-+.f6438.6%
Simplified38.6%
Taylor expanded in x around inf
Simplified38.0%
herbie shell --seed 2024150
(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)))))