
(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 (* 2.0 (* t_m t_m))))
(*
t_s
(if (<= t_m 4.5e-173)
(/ (* t_m (sqrt 2.0)) (* l_m (sqrt (+ (/ 2.0 x) (/ 2.0 (* x x))))))
(if (<= t_m 4.5e+59)
(/
1.0
(/
(sqrt
(/
(-
t_2
(/ (* (+ t_2 (* l_m l_m)) (+ (/ -1.0 x) (+ -2.0 (/ -1.0 x)))) x))
2.0))
t_m))
(+ 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 <= 4.5e-173) {
tmp = (t_m * sqrt(2.0)) / (l_m * sqrt(((2.0 / x) + (2.0 / (x * x)))));
} else if (t_m <= 4.5e+59) {
tmp = 1.0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m);
} 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 <= 4.5d-173) then
tmp = (t_m * sqrt(2.0d0)) / (l_m * sqrt(((2.0d0 / x) + (2.0d0 / (x * x)))))
else if (t_m <= 4.5d+59) then
tmp = 1.0d0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * (((-1.0d0) / x) + ((-2.0d0) + ((-1.0d0) / x)))) / x)) / 2.0d0)) / t_m)
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 <= 4.5e-173) {
tmp = (t_m * Math.sqrt(2.0)) / (l_m * Math.sqrt(((2.0 / x) + (2.0 / (x * x)))));
} else if (t_m <= 4.5e+59) {
tmp = 1.0 / (Math.sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m);
} 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 <= 4.5e-173: tmp = (t_m * math.sqrt(2.0)) / (l_m * math.sqrt(((2.0 / x) + (2.0 / (x * x))))) elif t_m <= 4.5e+59: tmp = 1.0 / (math.sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m) 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 <= 4.5e-173) tmp = Float64(Float64(t_m * sqrt(2.0)) / Float64(l_m * sqrt(Float64(Float64(2.0 / x) + Float64(2.0 / Float64(x * x)))))); elseif (t_m <= 4.5e+59) tmp = Float64(1.0 / Float64(sqrt(Float64(Float64(t_2 - Float64(Float64(Float64(t_2 + Float64(l_m * l_m)) * Float64(Float64(-1.0 / x) + Float64(-2.0 + Float64(-1.0 / x)))) / x)) / 2.0)) / t_m)); 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 <= 4.5e-173) tmp = (t_m * sqrt(2.0)) / (l_m * sqrt(((2.0 / x) + (2.0 / (x * x))))); elseif (t_m <= 4.5e+59) tmp = 1.0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m); 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, 4.5e-173], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[(l$95$m * N[Sqrt[N[(N[(2.0 / x), $MachinePrecision] + N[(2.0 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 4.5e+59], N[(1.0 / N[(N[Sqrt[N[(N[(t$95$2 - N[(N[(N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] * N[(N[(-1.0 / x), $MachinePrecision] + N[(-2.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / t$95$m), $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 4.5 \cdot 10^{-173}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{l\_m \cdot \sqrt{\frac{2}{x} + \frac{2}{x \cdot x}}}\\
\mathbf{elif}\;t\_m \leq 4.5 \cdot 10^{+59}:\\
\;\;\;\;\frac{1}{\frac{\sqrt{\frac{t\_2 - \frac{\left(t\_2 + l\_m \cdot l\_m\right) \cdot \left(\frac{-1}{x} + \left(-2 + \frac{-1}{x}\right)\right)}{x}}{2}}}{t\_m}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 4.50000000000000018e-173Initial program 34.1%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.2%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6419.3%
Simplified19.3%
if 4.50000000000000018e-173 < t < 4.49999999999999959e59Initial program 58.0%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified88.2%
Applied egg-rr88.6%
if 4.49999999999999959e59 < t Initial program 19.8%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified23.0%
Applied egg-rr23.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6421.7%
Simplified21.7%
Taylor expanded in t around inf
/-lowering-/.f6491.4%
Simplified91.4%
Final simplification51.4%
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
(let* ((t_2 (* 2.0 (* t_m t_m))))
(*
t_s
(if (<= t_m 1e-172)
(/ t_m (* l_m (sqrt (/ (* (/ 1.0 x) (+ 2.0 (/ 2.0 x))) 2.0))))
(if (<= t_m 3.9e+59)
(/
1.0
(/
(sqrt
(/
(-
t_2
(/ (* (+ t_2 (* l_m l_m)) (+ (/ -1.0 x) (+ -2.0 (/ -1.0 x)))) x))
2.0))
t_m))
(+ 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 <= 1e-172) {
tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 3.9e+59) {
tmp = 1.0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m);
} 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 <= 1d-172) then
tmp = t_m / (l_m * sqrt((((1.0d0 / x) * (2.0d0 + (2.0d0 / x))) / 2.0d0)))
else if (t_m <= 3.9d+59) then
tmp = 1.0d0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * (((-1.0d0) / x) + ((-2.0d0) + ((-1.0d0) / x)))) / x)) / 2.0d0)) / t_m)
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 <= 1e-172) {
tmp = t_m / (l_m * Math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 3.9e+59) {
tmp = 1.0 / (Math.sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m);
} 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 <= 1e-172: tmp = t_m / (l_m * math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))) elif t_m <= 3.9e+59: tmp = 1.0 / (math.sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m) 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 <= 1e-172) tmp = Float64(t_m / Float64(l_m * sqrt(Float64(Float64(Float64(1.0 / x) * Float64(2.0 + Float64(2.0 / x))) / 2.0)))); elseif (t_m <= 3.9e+59) tmp = Float64(1.0 / Float64(sqrt(Float64(Float64(t_2 - Float64(Float64(Float64(t_2 + Float64(l_m * l_m)) * Float64(Float64(-1.0 / x) + Float64(-2.0 + Float64(-1.0 / x)))) / x)) / 2.0)) / t_m)); 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 <= 1e-172) tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))); elseif (t_m <= 3.9e+59) tmp = 1.0 / (sqrt(((t_2 - (((t_2 + (l_m * l_m)) * ((-1.0 / x) + (-2.0 + (-1.0 / x)))) / x)) / 2.0)) / t_m); 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, 1e-172], N[(t$95$m / N[(l$95$m * N[Sqrt[N[(N[(N[(1.0 / x), $MachinePrecision] * N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 3.9e+59], N[(1.0 / N[(N[Sqrt[N[(N[(t$95$2 - N[(N[(N[(t$95$2 + N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision] * N[(N[(-1.0 / x), $MachinePrecision] + N[(-2.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision] / t$95$m), $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 10^{-172}:\\
\;\;\;\;\frac{t\_m}{l\_m \cdot \sqrt{\frac{\frac{1}{x} \cdot \left(2 + \frac{2}{x}\right)}{2}}}\\
\mathbf{elif}\;t\_m \leq 3.9 \cdot 10^{+59}:\\
\;\;\;\;\frac{1}{\frac{\sqrt{\frac{t\_2 - \frac{\left(t\_2 + l\_m \cdot l\_m\right) \cdot \left(\frac{-1}{x} + \left(-2 + \frac{-1}{x}\right)\right)}{x}}{2}}}{t\_m}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 1e-172Initial program 34.1%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.2%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6419.3%
Simplified19.3%
Applied egg-rr19.3%
if 1e-172 < t < 3.90000000000000021e59Initial program 58.0%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified88.2%
Applied egg-rr88.6%
if 3.90000000000000021e59 < t Initial program 19.8%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified23.0%
Applied egg-rr23.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6421.7%
Simplified21.7%
Taylor expanded in t around inf
/-lowering-/.f6491.4%
Simplified91.4%
Final simplification51.4%
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
(if (<= t_m 1.2e-164)
(/ t_m (* l_m (sqrt (/ (* (/ 1.0 x) (+ 2.0 (/ 2.0 x))) 2.0))))
(if (<= t_m 1.65e+59)
(*
t_m
(pow
(-
(* t_m t_m)
(/
(* (+ -2.0 (/ -2.0 x)) (+ (* l_m l_m) (* t_m (* t_m 2.0))))
(* 2.0 x)))
-0.5))
(+ 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 tmp;
if (t_m <= 1.2e-164) {
tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 1.65e+59) {
tmp = t_m * pow(((t_m * t_m) - (((-2.0 + (-2.0 / x)) * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / (2.0 * x))), -0.5);
} 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) :: tmp
if (t_m <= 1.2d-164) then
tmp = t_m / (l_m * sqrt((((1.0d0 / x) * (2.0d0 + (2.0d0 / x))) / 2.0d0)))
else if (t_m <= 1.65d+59) then
tmp = t_m * (((t_m * t_m) - ((((-2.0d0) + ((-2.0d0) / x)) * ((l_m * l_m) + (t_m * (t_m * 2.0d0)))) / (2.0d0 * x))) ** (-0.5d0))
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 tmp;
if (t_m <= 1.2e-164) {
tmp = t_m / (l_m * Math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 1.65e+59) {
tmp = t_m * Math.pow(((t_m * t_m) - (((-2.0 + (-2.0 / x)) * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / (2.0 * x))), -0.5);
} 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): tmp = 0 if t_m <= 1.2e-164: tmp = t_m / (l_m * math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))) elif t_m <= 1.65e+59: tmp = t_m * math.pow(((t_m * t_m) - (((-2.0 + (-2.0 / x)) * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / (2.0 * x))), -0.5) 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) tmp = 0.0 if (t_m <= 1.2e-164) tmp = Float64(t_m / Float64(l_m * sqrt(Float64(Float64(Float64(1.0 / x) * Float64(2.0 + Float64(2.0 / x))) / 2.0)))); elseif (t_m <= 1.65e+59) tmp = Float64(t_m * (Float64(Float64(t_m * t_m) - Float64(Float64(Float64(-2.0 + Float64(-2.0 / x)) * Float64(Float64(l_m * l_m) + Float64(t_m * Float64(t_m * 2.0)))) / Float64(2.0 * x))) ^ -0.5)); 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) tmp = 0.0; if (t_m <= 1.2e-164) tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))); elseif (t_m <= 1.65e+59) tmp = t_m * (((t_m * t_m) - (((-2.0 + (-2.0 / x)) * ((l_m * l_m) + (t_m * (t_m * 2.0)))) / (2.0 * x))) ^ -0.5); 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_] := N[(t$95$s * If[LessEqual[t$95$m, 1.2e-164], N[(t$95$m / N[(l$95$m * N[Sqrt[N[(N[(N[(1.0 / x), $MachinePrecision] * N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.65e+59], N[(t$95$m * N[Power[N[(N[(t$95$m * t$95$m), $MachinePrecision] - N[(N[(N[(-2.0 + N[(-2.0 / x), $MachinePrecision]), $MachinePrecision] * N[(N[(l$95$m * l$95$m), $MachinePrecision] + N[(t$95$m * N[(t$95$m * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -0.5], $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.2 \cdot 10^{-164}:\\
\;\;\;\;\frac{t\_m}{l\_m \cdot \sqrt{\frac{\frac{1}{x} \cdot \left(2 + \frac{2}{x}\right)}{2}}}\\
\mathbf{elif}\;t\_m \leq 1.65 \cdot 10^{+59}:\\
\;\;\;\;t\_m \cdot {\left(t\_m \cdot t\_m - \frac{\left(-2 + \frac{-2}{x}\right) \cdot \left(l\_m \cdot l\_m + t\_m \cdot \left(t\_m \cdot 2\right)\right)}{2 \cdot x}\right)}^{-0.5}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 1.19999999999999992e-164Initial program 34.1%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.2%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6419.3%
Simplified19.3%
Applied egg-rr19.3%
if 1.19999999999999992e-164 < t < 1.65e59Initial program 58.0%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified88.2%
Applied egg-rr88.6%
associate-/r/N/A
*-lowering-*.f64N/A
Applied egg-rr88.4%
if 1.65e59 < t Initial program 19.8%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified23.0%
Applied egg-rr23.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6421.7%
Simplified21.7%
Taylor expanded in t around inf
/-lowering-/.f6491.4%
Simplified91.4%
Final simplification51.4%
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
(if (<= t_m 1e-172)
(/ t_m (* l_m (sqrt (/ (* (/ 1.0 x) (+ 2.0 (/ 2.0 x))) 2.0))))
(if (<= t_m 4.7e+59)
(/
1.0
(/
(sqrt (+ (/ (* 2.0 (* t_m t_m)) x) (+ (* t_m t_m) (/ (* l_m l_m) x))))
t_m))
(+ 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 tmp;
if (t_m <= 1e-172) {
tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 4.7e+59) {
tmp = 1.0 / (sqrt((((2.0 * (t_m * t_m)) / x) + ((t_m * t_m) + ((l_m * l_m) / x)))) / t_m);
} 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) :: tmp
if (t_m <= 1d-172) then
tmp = t_m / (l_m * sqrt((((1.0d0 / x) * (2.0d0 + (2.0d0 / x))) / 2.0d0)))
else if (t_m <= 4.7d+59) then
tmp = 1.0d0 / (sqrt((((2.0d0 * (t_m * t_m)) / x) + ((t_m * t_m) + ((l_m * l_m) / x)))) / t_m)
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 tmp;
if (t_m <= 1e-172) {
tmp = t_m / (l_m * Math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} else if (t_m <= 4.7e+59) {
tmp = 1.0 / (Math.sqrt((((2.0 * (t_m * t_m)) / x) + ((t_m * t_m) + ((l_m * l_m) / x)))) / t_m);
} 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): tmp = 0 if t_m <= 1e-172: tmp = t_m / (l_m * math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))) elif t_m <= 4.7e+59: tmp = 1.0 / (math.sqrt((((2.0 * (t_m * t_m)) / x) + ((t_m * t_m) + ((l_m * l_m) / x)))) / t_m) 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) tmp = 0.0 if (t_m <= 1e-172) tmp = Float64(t_m / Float64(l_m * sqrt(Float64(Float64(Float64(1.0 / x) * Float64(2.0 + Float64(2.0 / x))) / 2.0)))); elseif (t_m <= 4.7e+59) tmp = Float64(1.0 / Float64(sqrt(Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) / x) + Float64(Float64(t_m * t_m) + Float64(Float64(l_m * l_m) / x)))) / t_m)); 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) tmp = 0.0; if (t_m <= 1e-172) tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))); elseif (t_m <= 4.7e+59) tmp = 1.0 / (sqrt((((2.0 * (t_m * t_m)) / x) + ((t_m * t_m) + ((l_m * l_m) / x)))) / t_m); 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_] := N[(t$95$s * If[LessEqual[t$95$m, 1e-172], N[(t$95$m / N[(l$95$m * N[Sqrt[N[(N[(N[(1.0 / x), $MachinePrecision] * N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 4.7e+59], N[(1.0 / N[(N[Sqrt[N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + N[(N[(t$95$m * t$95$m), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / t$95$m), $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 10^{-172}:\\
\;\;\;\;\frac{t\_m}{l\_m \cdot \sqrt{\frac{\frac{1}{x} \cdot \left(2 + \frac{2}{x}\right)}{2}}}\\
\mathbf{elif}\;t\_m \leq 4.7 \cdot 10^{+59}:\\
\;\;\;\;\frac{1}{\frac{\sqrt{\frac{2 \cdot \left(t\_m \cdot t\_m\right)}{x} + \left(t\_m \cdot t\_m + \frac{l\_m \cdot l\_m}{x}\right)}}{t\_m}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 1e-172Initial program 34.1%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.2%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6419.3%
Simplified19.3%
Applied egg-rr19.3%
if 1e-172 < t < 4.7e59Initial program 58.0%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified88.2%
Applied egg-rr88.6%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6488.0%
Simplified88.0%
if 4.7e59 < t Initial program 19.8%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified23.0%
Applied egg-rr23.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6421.7%
Simplified21.7%
Taylor expanded in t around inf
/-lowering-/.f6491.4%
Simplified91.4%
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
(if (<= t_m 6e-156)
(/ t_m (* l_m (sqrt (/ (* (/ 1.0 x) (+ 2.0 (/ 2.0 x))) 2.0))))
(+ 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 tmp;
if (t_m <= 6e-156) {
tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} 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) :: tmp
if (t_m <= 6d-156) then
tmp = t_m / (l_m * sqrt((((1.0d0 / x) * (2.0d0 + (2.0d0 / x))) / 2.0d0)))
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 tmp;
if (t_m <= 6e-156) {
tmp = t_m / (l_m * Math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0)));
} 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): tmp = 0 if t_m <= 6e-156: tmp = t_m / (l_m * math.sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))) 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) tmp = 0.0 if (t_m <= 6e-156) tmp = Float64(t_m / Float64(l_m * sqrt(Float64(Float64(Float64(1.0 / x) * Float64(2.0 + Float64(2.0 / x))) / 2.0)))); 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) tmp = 0.0; if (t_m <= 6e-156) tmp = t_m / (l_m * sqrt((((1.0 / x) * (2.0 + (2.0 / x))) / 2.0))); 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_] := N[(t$95$s * If[LessEqual[t$95$m, 6e-156], N[(t$95$m / N[(l$95$m * N[Sqrt[N[(N[(N[(1.0 / x), $MachinePrecision] * N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 6 \cdot 10^{-156}:\\
\;\;\;\;\frac{t\_m}{l\_m \cdot \sqrt{\frac{\frac{1}{x} \cdot \left(2 + \frac{2}{x}\right)}{2}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 6e-156Initial program 33.6%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.7%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6420.4%
Simplified20.4%
Applied egg-rr20.4%
if 6e-156 < t Initial program 37.2%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified50.8%
Applied egg-rr51.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6442.2%
Simplified42.2%
Taylor expanded in t around inf
/-lowering-/.f6482.6%
Simplified82.6%
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 1.6e-154)
(* t_m (/ (sqrt (/ 2.0 (* (/ 1.0 x) (+ 2.0 (/ 2.0 x))))) l_m))
(+ 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 tmp;
if (t_m <= 1.6e-154) {
tmp = t_m * (sqrt((2.0 / ((1.0 / x) * (2.0 + (2.0 / x))))) / l_m);
} 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) :: tmp
if (t_m <= 1.6d-154) then
tmp = t_m * (sqrt((2.0d0 / ((1.0d0 / x) * (2.0d0 + (2.0d0 / x))))) / l_m)
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 tmp;
if (t_m <= 1.6e-154) {
tmp = t_m * (Math.sqrt((2.0 / ((1.0 / x) * (2.0 + (2.0 / x))))) / l_m);
} 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): tmp = 0 if t_m <= 1.6e-154: tmp = t_m * (math.sqrt((2.0 / ((1.0 / x) * (2.0 + (2.0 / x))))) / l_m) 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) tmp = 0.0 if (t_m <= 1.6e-154) tmp = Float64(t_m * Float64(sqrt(Float64(2.0 / Float64(Float64(1.0 / x) * Float64(2.0 + Float64(2.0 / x))))) / l_m)); 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) tmp = 0.0; if (t_m <= 1.6e-154) tmp = t_m * (sqrt((2.0 / ((1.0 / x) * (2.0 + (2.0 / x))))) / l_m); 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_] := N[(t$95$s * If[LessEqual[t$95$m, 1.6e-154], N[(t$95$m * N[(N[Sqrt[N[(2.0 / N[(N[(1.0 / x), $MachinePrecision] * N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / l$95$m), $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.6 \cdot 10^{-154}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{\frac{2}{\frac{1}{x} \cdot \left(2 + \frac{2}{x}\right)}}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 1.60000000000000002e-154Initial program 33.6%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified65.7%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6420.4%
Simplified20.4%
Applied egg-rr20.4%
if 1.60000000000000002e-154 < t Initial program 37.2%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified50.8%
Applied egg-rr51.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6442.2%
Simplified42.2%
Taylor expanded in t around inf
/-lowering-/.f6482.6%
Simplified82.6%
Final simplification48.1%
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 9e-155) (/ (* t_m (sqrt x)) l_m) (+ 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 tmp;
if (t_m <= 9e-155) {
tmp = (t_m * sqrt(x)) / l_m;
} 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) :: tmp
if (t_m <= 9d-155) then
tmp = (t_m * sqrt(x)) / l_m
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 tmp;
if (t_m <= 9e-155) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} 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): tmp = 0 if t_m <= 9e-155: tmp = (t_m * math.sqrt(x)) / l_m 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) tmp = 0.0 if (t_m <= 9e-155) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); 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) tmp = 0.0; if (t_m <= 9e-155) tmp = (t_m * sqrt(x)) / l_m; 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_] := N[(t$95$s * If[LessEqual[t$95$m, 9e-155], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9 \cdot 10^{-155}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 9.0000000000000007e-155Initial program 33.6%
*-commutativeN/A
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr33.5%
Taylor expanded in l around inf
*-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-+.f6414.3%
Simplified14.3%
Taylor expanded in x around 0
sub-negN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6428.1%
Simplified28.1%
Taylor expanded in x around inf
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6420.3%
Simplified20.3%
if 9.0000000000000007e-155 < t Initial program 37.2%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified50.8%
Applied egg-rr51.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6442.2%
Simplified42.2%
Taylor expanded in t around inf
/-lowering-/.f6482.6%
Simplified82.6%
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 1.35e-154) (* t_m (/ (sqrt x) l_m)) (+ 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 tmp;
if (t_m <= 1.35e-154) {
tmp = t_m * (sqrt(x) / l_m);
} 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) :: tmp
if (t_m <= 1.35d-154) then
tmp = t_m * (sqrt(x) / l_m)
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 tmp;
if (t_m <= 1.35e-154) {
tmp = t_m * (Math.sqrt(x) / l_m);
} 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): tmp = 0 if t_m <= 1.35e-154: tmp = t_m * (math.sqrt(x) / l_m) 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) tmp = 0.0 if (t_m <= 1.35e-154) tmp = Float64(t_m * Float64(sqrt(x) / l_m)); 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) tmp = 0.0; if (t_m <= 1.35e-154) tmp = t_m * (sqrt(x) / l_m); 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_] := N[(t$95$s * If[LessEqual[t$95$m, 1.35e-154], N[(t$95$m * N[(N[Sqrt[x], $MachinePrecision] / l$95$m), $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)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.35 \cdot 10^{-154}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{x}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{-1}{x}\\
\end{array}
\end{array}
if t < 1.34999999999999995e-154Initial program 33.6%
*-commutativeN/A
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr33.5%
Taylor expanded in l around inf
*-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-+.f6414.3%
Simplified14.3%
Taylor expanded in x around 0
sub-negN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6428.1%
Simplified28.1%
Taylor expanded in x around inf
associate-*l/N/A
*-lft-identityN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6420.3%
Simplified20.3%
if 1.34999999999999995e-154 < t Initial program 37.2%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified50.8%
Applied egg-rr51.1%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6442.2%
Simplified42.2%
Taylor expanded in t around inf
/-lowering-/.f6482.6%
Simplified82.6%
Final simplification48.0%
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 (* 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 35.2%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified59.0%
Applied egg-rr59.0%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
*-lowering-*.f6419.5%
Simplified19.5%
Taylor expanded in t around inf
/-lowering-/.f6439.5%
Simplified39.5%
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 (* 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 35.2%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6439.3%
Simplified39.3%
*-commutativeN/A
*-inverses39.3%
Applied egg-rr39.3%
herbie shell --seed 2024164
(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)))))