
(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 15 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_m (sqrt 2.0)))
(t_4 (+ (* l_m l_m) t_2)))
(*
t_s
(if (<= t_m 1.4e-228)
(/ t_3 (* l_m (sqrt (/ (+ 2.0 (/ 2.0 x)) x))))
(if (<= t_m 7.4e-155)
(/ t_3 (+ t_3 (/ (* 0.5 (* 2.0 t_4)) (* t_m (* (sqrt 2.0) x)))))
(if (<= t_m 4e+52)
(*
t_m
(sqrt
(/
2.0
(+
t_2
(/
(+
(+ t_2 (+ (* l_m l_m) t_4))
(/
(+ (+ t_4 t_4) (+ (+ (/ t_2 x) (/ (* l_m l_m) x)) (/ t_4 x)))
x))
x)))))
(sqrt (/ (+ x -1.0) (+ x 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) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = t_m * sqrt(2.0);
double t_4 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 1.4e-228) {
tmp = t_3 / (l_m * sqrt(((2.0 + (2.0 / x)) / x)));
} else if (t_m <= 7.4e-155) {
tmp = t_3 / (t_3 + ((0.5 * (2.0 * t_4)) / (t_m * (sqrt(2.0) * x))));
} else if (t_m <= 4e+52) {
tmp = t_m * sqrt((2.0 / (t_2 + (((t_2 + ((l_m * l_m) + t_4)) + (((t_4 + t_4) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x)) / x))));
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = t_m * sqrt(2.0d0)
t_4 = (l_m * l_m) + t_2
if (t_m <= 1.4d-228) then
tmp = t_3 / (l_m * sqrt(((2.0d0 + (2.0d0 / x)) / x)))
else if (t_m <= 7.4d-155) then
tmp = t_3 / (t_3 + ((0.5d0 * (2.0d0 * t_4)) / (t_m * (sqrt(2.0d0) * x))))
else if (t_m <= 4d+52) then
tmp = t_m * sqrt((2.0d0 / (t_2 + (((t_2 + ((l_m * l_m) + t_4)) + (((t_4 + t_4) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x)) / x))))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = t_m * Math.sqrt(2.0);
double t_4 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 1.4e-228) {
tmp = t_3 / (l_m * Math.sqrt(((2.0 + (2.0 / x)) / x)));
} else if (t_m <= 7.4e-155) {
tmp = t_3 / (t_3 + ((0.5 * (2.0 * t_4)) / (t_m * (Math.sqrt(2.0) * x))));
} else if (t_m <= 4e+52) {
tmp = t_m * Math.sqrt((2.0 / (t_2 + (((t_2 + ((l_m * l_m) + t_4)) + (((t_4 + t_4) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x)) / x))));
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) t_3 = t_m * math.sqrt(2.0) t_4 = (l_m * l_m) + t_2 tmp = 0 if t_m <= 1.4e-228: tmp = t_3 / (l_m * math.sqrt(((2.0 + (2.0 / x)) / x))) elif t_m <= 7.4e-155: tmp = t_3 / (t_3 + ((0.5 * (2.0 * t_4)) / (t_m * (math.sqrt(2.0) * x)))) elif t_m <= 4e+52: tmp = t_m * math.sqrt((2.0 / (t_2 + (((t_2 + ((l_m * l_m) + t_4)) + (((t_4 + t_4) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x)) / x)))) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(t_m * sqrt(2.0)) t_4 = Float64(Float64(l_m * l_m) + t_2) tmp = 0.0 if (t_m <= 1.4e-228) tmp = Float64(t_3 / Float64(l_m * sqrt(Float64(Float64(2.0 + Float64(2.0 / x)) / x)))); elseif (t_m <= 7.4e-155) tmp = Float64(t_3 / Float64(t_3 + Float64(Float64(0.5 * Float64(2.0 * t_4)) / Float64(t_m * Float64(sqrt(2.0) * x))))); elseif (t_m <= 4e+52) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(t_2 + Float64(Float64(Float64(t_2 + Float64(Float64(l_m * l_m) + t_4)) + Float64(Float64(Float64(t_4 + t_4) + Float64(Float64(Float64(t_2 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(t_4 / x))) / x)) / x))))); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); t_3 = t_m * sqrt(2.0); t_4 = (l_m * l_m) + t_2; tmp = 0.0; if (t_m <= 1.4e-228) tmp = t_3 / (l_m * sqrt(((2.0 + (2.0 / x)) / x))); elseif (t_m <= 7.4e-155) tmp = t_3 / (t_3 + ((0.5 * (2.0 * t_4)) / (t_m * (sqrt(2.0) * x)))); elseif (t_m <= 4e+52) tmp = t_m * sqrt((2.0 / (t_2 + (((t_2 + ((l_m * l_m) + t_4)) + (((t_4 + t_4) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x)) / x)))); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.4e-228], N[(t$95$3 / N[(l$95$m * N[Sqrt[N[(N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 7.4e-155], N[(t$95$3 / N[(t$95$3 + N[(N[(0.5 * N[(2.0 * t$95$4), $MachinePrecision]), $MachinePrecision] / N[(t$95$m * N[(N[Sqrt[2.0], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 4e+52], N[(t$95$m * N[Sqrt[N[(2.0 / N[(t$95$2 + N[(N[(N[(t$95$2 + N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$4), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(t$95$4 + t$95$4), $MachinePrecision] + N[(N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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\_m \cdot \sqrt{2}\\
t_4 := l\_m \cdot l\_m + t\_2\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.4 \cdot 10^{-228}:\\
\;\;\;\;\frac{t\_3}{l\_m \cdot \sqrt{\frac{2 + \frac{2}{x}}{x}}}\\
\mathbf{elif}\;t\_m \leq 7.4 \cdot 10^{-155}:\\
\;\;\;\;\frac{t\_3}{t\_3 + \frac{0.5 \cdot \left(2 \cdot t\_4\right)}{t\_m \cdot \left(\sqrt{2} \cdot x\right)}}\\
\mathbf{elif}\;t\_m \leq 4 \cdot 10^{+52}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{t\_2 + \frac{\left(t\_2 + \left(l\_m \cdot l\_m + t\_4\right)\right) + \frac{\left(t\_4 + t\_4\right) + \left(\left(\frac{t\_2}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \frac{t\_4}{x}\right)}{x}}{x}}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
\end{array}
if t < 1.4000000000000001e-228Initial program 25.6%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f642.7%
Simplified2.7%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6414.7%
Simplified14.7%
if 1.4000000000000001e-228 < t < 7.4000000000000001e-155Initial program 9.3%
Taylor expanded in x around inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
Simplified81.1%
if 7.4000000000000001e-155 < t < 4e52Initial program 49.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr49.1%
Taylor expanded in x around -inf
Simplified75.1%
if 4e52 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification47.1%
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
(let* ((t_2 (* (* t_m t_m) -2.0))
(t_3 (- t_2 (* l_m l_m)))
(t_4 (/ (- (* l_m l_m) t_2) x)))
(*
t_s
(if (<= t_m 4e-173)
(/ (* t_m (sqrt 2.0)) (* l_m (sqrt (/ (+ 2.0 (/ 2.0 x)) x))))
(if (<= t_m 6.5e+51)
(*
t_m
(pow
(/ (- (* 2.0 (* t_m t_m)) (/ (- (+ t_3 t_3) (+ t_4 t_4)) x)) 2.0)
-0.5))
(sqrt (/ (+ x -1.0) (+ x 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) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = t_2 - (l_m * l_m);
double t_4 = ((l_m * l_m) - t_2) / x;
double tmp;
if (t_m <= 4e-173) {
tmp = (t_m * sqrt(2.0)) / (l_m * sqrt(((2.0 + (2.0 / x)) / x)));
} else if (t_m <= 6.5e+51) {
tmp = t_m * pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5);
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_2 = (t_m * t_m) * (-2.0d0)
t_3 = t_2 - (l_m * l_m)
t_4 = ((l_m * l_m) - t_2) / x
if (t_m <= 4d-173) then
tmp = (t_m * sqrt(2.0d0)) / (l_m * sqrt(((2.0d0 + (2.0d0 / x)) / x)))
else if (t_m <= 6.5d+51) then
tmp = t_m * ((((2.0d0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0d0) ** (-0.5d0))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = t_2 - (l_m * l_m);
double t_4 = ((l_m * l_m) - t_2) / x;
double tmp;
if (t_m <= 4e-173) {
tmp = (t_m * Math.sqrt(2.0)) / (l_m * Math.sqrt(((2.0 + (2.0 / x)) / x)));
} else if (t_m <= 6.5e+51) {
tmp = t_m * Math.pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5);
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = (t_m * t_m) * -2.0 t_3 = t_2 - (l_m * l_m) t_4 = ((l_m * l_m) - t_2) / x tmp = 0 if t_m <= 4e-173: tmp = (t_m * math.sqrt(2.0)) / (l_m * math.sqrt(((2.0 + (2.0 / x)) / x))) elif t_m <= 6.5e+51: tmp = t_m * math.pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(Float64(t_m * t_m) * -2.0) t_3 = Float64(t_2 - Float64(l_m * l_m)) t_4 = Float64(Float64(Float64(l_m * l_m) - t_2) / x) tmp = 0.0 if (t_m <= 4e-173) tmp = Float64(Float64(t_m * sqrt(2.0)) / Float64(l_m * sqrt(Float64(Float64(2.0 + Float64(2.0 / x)) / x)))); elseif (t_m <= 6.5e+51) tmp = Float64(t_m * (Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) - Float64(Float64(Float64(t_3 + t_3) - Float64(t_4 + t_4)) / x)) / 2.0) ^ -0.5)); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = (t_m * t_m) * -2.0; t_3 = t_2 - (l_m * l_m); t_4 = ((l_m * l_m) - t_2) / x; tmp = 0.0; if (t_m <= 4e-173) tmp = (t_m * sqrt(2.0)) / (l_m * sqrt(((2.0 + (2.0 / x)) / x))); elseif (t_m <= 6.5e+51) tmp = t_m * ((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0) ^ -0.5); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(N[(t$95$m * t$95$m), $MachinePrecision] * -2.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] - t$95$2), $MachinePrecision] / x), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 4e-173], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[(l$95$m * N[Sqrt[N[(N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 6.5e+51], N[(t$95$m * N[Power[N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(t$95$3 + t$95$3), $MachinePrecision] - N[(t$95$4 + t$95$4), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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 := \left(t\_m \cdot t\_m\right) \cdot -2\\
t_3 := t\_2 - l\_m \cdot l\_m\\
t_4 := \frac{l\_m \cdot l\_m - t\_2}{x}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4 \cdot 10^{-173}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{l\_m \cdot \sqrt{\frac{2 + \frac{2}{x}}{x}}}\\
\mathbf{elif}\;t\_m \leq 6.5 \cdot 10^{+51}:\\
\;\;\;\;t\_m \cdot {\left(\frac{2 \cdot \left(t\_m \cdot t\_m\right) - \frac{\left(t\_3 + t\_3\right) - \left(t\_4 + t\_4\right)}{x}}{2}\right)}^{-0.5}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
\end{array}
if t < 4.0000000000000002e-173Initial program 24.4%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f642.6%
Simplified2.6%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6415.5%
Simplified15.5%
if 4.0000000000000002e-173 < t < 6.5e51Initial program 47.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr46.0%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
Simplified72.5%
Applied egg-rr74.1%
if 6.5e51 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification45.4%
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 (* (* t_m t_m) -2.0))
(t_3 (- t_2 (* l_m l_m)))
(t_4 (/ (- (* l_m l_m) t_2) x)))
(*
t_s
(if (<= t_m 3.8e-173)
(* t_m (* (/ (sqrt 2.0) l_m) (sqrt (/ x (+ 2.0 (/ 2.0 x))))))
(if (<= t_m 1.08e+52)
(*
t_m
(pow
(/ (- (* 2.0 (* t_m t_m)) (/ (- (+ t_3 t_3) (+ t_4 t_4)) x)) 2.0)
-0.5))
(sqrt (/ (+ x -1.0) (+ x 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) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = t_2 - (l_m * l_m);
double t_4 = ((l_m * l_m) - t_2) / x;
double tmp;
if (t_m <= 3.8e-173) {
tmp = t_m * ((sqrt(2.0) / l_m) * sqrt((x / (2.0 + (2.0 / x)))));
} else if (t_m <= 1.08e+52) {
tmp = t_m * pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5);
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_2 = (t_m * t_m) * (-2.0d0)
t_3 = t_2 - (l_m * l_m)
t_4 = ((l_m * l_m) - t_2) / x
if (t_m <= 3.8d-173) then
tmp = t_m * ((sqrt(2.0d0) / l_m) * sqrt((x / (2.0d0 + (2.0d0 / x)))))
else if (t_m <= 1.08d+52) then
tmp = t_m * ((((2.0d0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0d0) ** (-0.5d0))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = t_2 - (l_m * l_m);
double t_4 = ((l_m * l_m) - t_2) / x;
double tmp;
if (t_m <= 3.8e-173) {
tmp = t_m * ((Math.sqrt(2.0) / l_m) * Math.sqrt((x / (2.0 + (2.0 / x)))));
} else if (t_m <= 1.08e+52) {
tmp = t_m * Math.pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5);
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = (t_m * t_m) * -2.0 t_3 = t_2 - (l_m * l_m) t_4 = ((l_m * l_m) - t_2) / x tmp = 0 if t_m <= 3.8e-173: tmp = t_m * ((math.sqrt(2.0) / l_m) * math.sqrt((x / (2.0 + (2.0 / x))))) elif t_m <= 1.08e+52: tmp = t_m * math.pow((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0), -0.5) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(Float64(t_m * t_m) * -2.0) t_3 = Float64(t_2 - Float64(l_m * l_m)) t_4 = Float64(Float64(Float64(l_m * l_m) - t_2) / x) tmp = 0.0 if (t_m <= 3.8e-173) tmp = Float64(t_m * Float64(Float64(sqrt(2.0) / l_m) * sqrt(Float64(x / Float64(2.0 + Float64(2.0 / x)))))); elseif (t_m <= 1.08e+52) tmp = Float64(t_m * (Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) - Float64(Float64(Float64(t_3 + t_3) - Float64(t_4 + t_4)) / x)) / 2.0) ^ -0.5)); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = (t_m * t_m) * -2.0; t_3 = t_2 - (l_m * l_m); t_4 = ((l_m * l_m) - t_2) / x; tmp = 0.0; if (t_m <= 3.8e-173) tmp = t_m * ((sqrt(2.0) / l_m) * sqrt((x / (2.0 + (2.0 / x))))); elseif (t_m <= 1.08e+52) tmp = t_m * ((((2.0 * (t_m * t_m)) - (((t_3 + t_3) - (t_4 + t_4)) / x)) / 2.0) ^ -0.5); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(N[(t$95$m * t$95$m), $MachinePrecision] * -2.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 - N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] - t$95$2), $MachinePrecision] / x), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 3.8e-173], N[(t$95$m * N[(N[(N[Sqrt[2.0], $MachinePrecision] / l$95$m), $MachinePrecision] * N[Sqrt[N[(x / N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.08e+52], N[(t$95$m * N[Power[N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(t$95$3 + t$95$3), $MachinePrecision] - N[(t$95$4 + t$95$4), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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 := \left(t\_m \cdot t\_m\right) \cdot -2\\
t_3 := t\_2 - l\_m \cdot l\_m\\
t_4 := \frac{l\_m \cdot l\_m - t\_2}{x}\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 3.8 \cdot 10^{-173}:\\
\;\;\;\;t\_m \cdot \left(\frac{\sqrt{2}}{l\_m} \cdot \sqrt{\frac{x}{2 + \frac{2}{x}}}\right)\\
\mathbf{elif}\;t\_m \leq 1.08 \cdot 10^{+52}:\\
\;\;\;\;t\_m \cdot {\left(\frac{2 \cdot \left(t\_m \cdot t\_m\right) - \frac{\left(t\_3 + t\_3\right) - \left(t\_4 + t\_4\right)}{x}}{2}\right)}^{-0.5}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
\end{array}
if t < 3.8000000000000003e-173Initial program 24.4%
*-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-rr24.6%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
Simplified49.7%
Taylor expanded in l around inf
*-lowering-*.f64N/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6415.5%
Simplified15.5%
if 3.8000000000000003e-173 < t < 1.07999999999999997e52Initial program 47.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr46.0%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
Simplified72.5%
Applied egg-rr74.1%
if 1.07999999999999997e52 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification45.4%
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 (* (* t_m t_m) -2.0))
(t_3 (/ (- (* l_m l_m) t_2) x))
(t_4 (- t_2 (* l_m l_m))))
(*
t_s
(if (<= t_m 6.8e-172)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 7.8e+52)
(*
t_m
(pow
(/ (- (* 2.0 (* t_m t_m)) (/ (- (+ t_4 t_4) (+ t_3 t_3)) x)) 2.0)
-0.5))
(sqrt (/ (+ x -1.0) (+ x 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) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = ((l_m * l_m) - t_2) / x;
double t_4 = t_2 - (l_m * l_m);
double tmp;
if (t_m <= 6.8e-172) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 7.8e+52) {
tmp = t_m * pow((((2.0 * (t_m * t_m)) - (((t_4 + t_4) - (t_3 + t_3)) / x)) / 2.0), -0.5);
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_2 = (t_m * t_m) * (-2.0d0)
t_3 = ((l_m * l_m) - t_2) / x
t_4 = t_2 - (l_m * l_m)
if (t_m <= 6.8d-172) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 7.8d+52) then
tmp = t_m * ((((2.0d0 * (t_m * t_m)) - (((t_4 + t_4) - (t_3 + t_3)) / x)) / 2.0d0) ** (-0.5d0))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = (t_m * t_m) * -2.0;
double t_3 = ((l_m * l_m) - t_2) / x;
double t_4 = t_2 - (l_m * l_m);
double tmp;
if (t_m <= 6.8e-172) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 7.8e+52) {
tmp = t_m * Math.pow((((2.0 * (t_m * t_m)) - (((t_4 + t_4) - (t_3 + t_3)) / x)) / 2.0), -0.5);
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = (t_m * t_m) * -2.0 t_3 = ((l_m * l_m) - t_2) / x t_4 = t_2 - (l_m * l_m) tmp = 0 if t_m <= 6.8e-172: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 7.8e+52: tmp = t_m * math.pow((((2.0 * (t_m * t_m)) - (((t_4 + t_4) - (t_3 + t_3)) / x)) / 2.0), -0.5) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(Float64(t_m * t_m) * -2.0) t_3 = Float64(Float64(Float64(l_m * l_m) - t_2) / x) t_4 = Float64(t_2 - Float64(l_m * l_m)) tmp = 0.0 if (t_m <= 6.8e-172) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 7.8e+52) tmp = Float64(t_m * (Float64(Float64(Float64(2.0 * Float64(t_m * t_m)) - Float64(Float64(Float64(t_4 + t_4) - Float64(t_3 + t_3)) / x)) / 2.0) ^ -0.5)); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = (t_m * t_m) * -2.0; t_3 = ((l_m * l_m) - t_2) / x; t_4 = t_2 - (l_m * l_m); tmp = 0.0; if (t_m <= 6.8e-172) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 7.8e+52) tmp = t_m * ((((2.0 * (t_m * t_m)) - (((t_4 + t_4) - (t_3 + t_3)) / x)) / 2.0) ^ -0.5); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(N[(t$95$m * t$95$m), $MachinePrecision] * -2.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] - t$95$2), $MachinePrecision] / x), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 - N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 6.8e-172], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 7.8e+52], N[(t$95$m * N[Power[N[(N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(t$95$4 + t$95$4), $MachinePrecision] - N[(t$95$3 + t$95$3), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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 := \left(t\_m \cdot t\_m\right) \cdot -2\\
t_3 := \frac{l\_m \cdot l\_m - t\_2}{x}\\
t_4 := t\_2 - l\_m \cdot l\_m\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 6.8 \cdot 10^{-172}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 7.8 \cdot 10^{+52}:\\
\;\;\;\;t\_m \cdot {\left(\frac{2 \cdot \left(t\_m \cdot t\_m\right) - \frac{\left(t\_4 + t\_4\right) - \left(t\_3 + t\_3\right)}{x}}{2}\right)}^{-0.5}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
\end{array}
if t < 6.7999999999999997e-172Initial program 24.3%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f642.6%
Simplified2.6%
Taylor expanded in x around inf
/-lowering-/.f6415.4%
Simplified15.4%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6415.6%
Simplified15.6%
if 6.7999999999999997e-172 < t < 7.7999999999999999e52Initial program 48.5%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr47.0%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
Simplified74.0%
Applied egg-rr75.7%
if 7.7999999999999999e52 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification45.5%
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_s
(if (<= t_m 5.2e-155)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 1.15e+52)
(*
t_m
(sqrt
(/
2.0
(+
(/ t_2 x)
(+ (/ (+ (* l_m l_m) t_2) x) (+ t_2 (/ (* l_m l_m) x)))))))
(sqrt (/ (+ x -1.0) (+ x 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) {
double t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 5.2e-155) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 1.15e+52) {
tmp = t_m * sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
if (t_m <= 5.2d-155) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 1.15d+52) then
tmp = t_m * sqrt((2.0d0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double tmp;
if (t_m <= 5.2e-155) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 1.15e+52) {
tmp = t_m * Math.sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x))))));
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) tmp = 0 if t_m <= 5.2e-155: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 1.15e+52: tmp = t_m * math.sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x)))))) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) tmp = 0.0 if (t_m <= 5.2e-155) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 1.15e+52) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(t_2 / x) + Float64(Float64(Float64(Float64(l_m * l_m) + t_2) / x) + Float64(t_2 + Float64(Float64(l_m * l_m) / x))))))); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); tmp = 0.0; if (t_m <= 5.2e-155) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 1.15e+52) tmp = t_m * sqrt((2.0 / ((t_2 / x) + ((((l_m * l_m) + t_2) / x) + (t_2 + ((l_m * l_m) / x)))))); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := 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, 5.2e-155], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 1.15e+52], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision] / x), $MachinePrecision] + N[(t$95$2 + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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 5.2 \cdot 10^{-155}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 1.15 \cdot 10^{+52}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{\frac{t\_2}{x} + \left(\frac{l\_m \cdot l\_m + t\_2}{x} + \left(t\_2 + \frac{l\_m \cdot l\_m}{x}\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
\end{array}
if t < 5.20000000000000016e-155Initial program 24.5%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f642.6%
Simplified2.6%
Taylor expanded in x around inf
/-lowering-/.f6415.9%
Simplified15.9%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6416.0%
Simplified16.0%
if 5.20000000000000016e-155 < t < 1.15e52Initial program 49.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr49.1%
Taylor expanded in x around inf
associate--l+N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
--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
Simplified75.1%
if 1.15e52 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification45.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= t_m 6.9e-155)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 2e+51)
(*
t_m
(sqrt
(/
2.0
(+ (* 2.0 (* t_m t_m)) (* (/ (+ 2.0 (/ 2.0 x)) x) (* l_m l_m))))))
(sqrt (/ (+ x -1.0) (+ x 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) {
double tmp;
if (t_m <= 6.9e-155) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 2e+51) {
tmp = t_m * sqrt((2.0 / ((2.0 * (t_m * t_m)) + (((2.0 + (2.0 / x)) / x) * (l_m * l_m)))));
} else {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (t_m <= 6.9d-155) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 2d+51) then
tmp = t_m * sqrt((2.0d0 / ((2.0d0 * (t_m * t_m)) + (((2.0d0 + (2.0d0 / x)) / x) * (l_m * l_m)))))
else
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (t_m <= 6.9e-155) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 2e+51) {
tmp = t_m * Math.sqrt((2.0 / ((2.0 * (t_m * t_m)) + (((2.0 + (2.0 / x)) / x) * (l_m * l_m)))));
} else {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if t_m <= 6.9e-155: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 2e+51: tmp = t_m * math.sqrt((2.0 / ((2.0 * (t_m * t_m)) + (((2.0 + (2.0 / x)) / x) * (l_m * l_m))))) else: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (t_m <= 6.9e-155) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 2e+51) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(2.0 * Float64(t_m * t_m)) + Float64(Float64(Float64(2.0 + Float64(2.0 / x)) / x) * Float64(l_m * l_m)))))); else tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (t_m <= 6.9e-155) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 2e+51) tmp = t_m * sqrt((2.0 / ((2.0 * (t_m * t_m)) + (((2.0 + (2.0 / x)) / x) * (l_m * l_m))))); else tmp = sqrt(((x + -1.0) / (x + 1.0))); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[t$95$m, 6.9e-155], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 2e+51], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(2.0 + N[(2.0 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] * N[(l$95$m * l$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $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 6.9 \cdot 10^{-155}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 2 \cdot 10^{+51}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{2 \cdot \left(t\_m \cdot t\_m\right) + \frac{2 + \frac{2}{x}}{x} \cdot \left(l\_m \cdot l\_m\right)}}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\end{array}
\end{array}
if t < 6.89999999999999975e-155Initial program 24.5%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f642.6%
Simplified2.6%
Taylor expanded in x around inf
/-lowering-/.f6415.9%
Simplified15.9%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6416.0%
Simplified16.0%
if 6.89999999999999975e-155 < t < 2e51Initial program 49.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr49.1%
Taylor expanded in x around -inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
Simplified75.1%
Taylor expanded in l around inf
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6475.1%
Simplified75.1%
if 2e51 < t Initial program 28.0%
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-+.f6490.5%
Simplified90.5%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6490.5%
Simplified90.5%
Final simplification45.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= l_m 4.4e+175)
(/ 1.0 (sqrt (/ (+ x 1.0) (+ x -1.0))))
(if (<= l_m 1.5e+298) (/ (* t_m (sqrt x)) l_m) 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) {
double tmp;
if (l_m <= 4.4e+175) {
tmp = 1.0 / sqrt(((x + 1.0) / (x + -1.0)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 4.4d+175) then
tmp = 1.0d0 / sqrt(((x + 1.0d0) / (x + (-1.0d0))))
else if (l_m <= 1.5d+298) then
tmp = (t_m * sqrt(x)) / l_m
else
tmp = 1.0d0
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 4.4e+175) {
tmp = 1.0 / Math.sqrt(((x + 1.0) / (x + -1.0)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 4.4e+175: tmp = 1.0 / math.sqrt(((x + 1.0) / (x + -1.0))) elif l_m <= 1.5e+298: tmp = (t_m * math.sqrt(x)) / l_m else: tmp = 1.0 return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 4.4e+175) tmp = Float64(1.0 / sqrt(Float64(Float64(x + 1.0) / Float64(x + -1.0)))); elseif (l_m <= 1.5e+298) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); else tmp = 1.0; end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 4.4e+175) tmp = 1.0 / sqrt(((x + 1.0) / (x + -1.0))); elseif (l_m <= 1.5e+298) tmp = (t_m * sqrt(x)) / l_m; else tmp = 1.0; end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 4.4e+175], N[(1.0 / N[Sqrt[N[(N[(x + 1.0), $MachinePrecision] / N[(x + -1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[l$95$m, 1.5e+298], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;l\_m \leq 4.4 \cdot 10^{+175}:\\
\;\;\;\;\frac{1}{\sqrt{\frac{x + 1}{x + -1}}}\\
\mathbf{elif}\;l\_m \leq 1.5 \cdot 10^{+298}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if l < 4.3999999999999999e175Initial program 33.6%
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-+.f6441.1%
Simplified41.1%
*-commutativeN/A
associate-/r*N/A
*-inversesN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f6441.2%
Applied egg-rr41.2%
if 4.3999999999999999e175 < l < 1.49999999999999994e298Initial program 0.0%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f648.9%
Simplified8.9%
Taylor expanded in x around inf
/-lowering-/.f6463.9%
Simplified63.9%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6464.2%
Simplified64.2%
if 1.49999999999999994e298 < l Initial program 0.0%
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-+.f6477.5%
Simplified77.5%
Taylor expanded in x around inf
Simplified77.5%
Final simplification44.2%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= l_m 5e+175)
(sqrt (/ (+ x -1.0) (+ x 1.0)))
(if (<= l_m 1.5e+298) (/ (* t_m (sqrt x)) l_m) 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) {
double tmp;
if (l_m <= 5e+175) {
tmp = sqrt(((x + -1.0) / (x + 1.0)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 5d+175) then
tmp = sqrt(((x + (-1.0d0)) / (x + 1.0d0)))
else if (l_m <= 1.5d+298) then
tmp = (t_m * sqrt(x)) / l_m
else
tmp = 1.0d0
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 5e+175) {
tmp = Math.sqrt(((x + -1.0) / (x + 1.0)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 5e+175: tmp = math.sqrt(((x + -1.0) / (x + 1.0))) elif l_m <= 1.5e+298: tmp = (t_m * math.sqrt(x)) / l_m else: tmp = 1.0 return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 5e+175) tmp = sqrt(Float64(Float64(x + -1.0) / Float64(x + 1.0))); elseif (l_m <= 1.5e+298) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); else tmp = 1.0; end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 5e+175) tmp = sqrt(((x + -1.0) / (x + 1.0))); elseif (l_m <= 1.5e+298) tmp = (t_m * sqrt(x)) / l_m; else tmp = 1.0; end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 5e+175], N[Sqrt[N[(N[(x + -1.0), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], If[LessEqual[l$95$m, 1.5e+298], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;l\_m \leq 5 \cdot 10^{+175}:\\
\;\;\;\;\sqrt{\frac{x + -1}{x + 1}}\\
\mathbf{elif}\;l\_m \leq 1.5 \cdot 10^{+298}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if l < 5e175Initial program 33.6%
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-+.f6441.1%
Simplified41.1%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6441.2%
Simplified41.2%
if 5e175 < l < 1.49999999999999994e298Initial program 0.0%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f648.9%
Simplified8.9%
Taylor expanded in x around inf
/-lowering-/.f6463.9%
Simplified63.9%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6464.2%
Simplified64.2%
if 1.49999999999999994e298 < l Initial program 0.0%
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-+.f6477.5%
Simplified77.5%
Taylor expanded in x around inf
Simplified77.5%
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
(if (<= l_m 4.3e+175)
(+ (+ 1.0 (/ (+ -1.0 (/ 0.5 x)) x)) (/ -0.5 (* x (* x x))))
(if (<= l_m 1.5e+298) (/ (* t_m (sqrt x)) l_m) 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) {
double tmp;
if (l_m <= 4.3e+175) {
tmp = (1.0 + ((-1.0 + (0.5 / x)) / x)) + (-0.5 / (x * (x * x)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 4.3d+175) then
tmp = (1.0d0 + (((-1.0d0) + (0.5d0 / x)) / x)) + ((-0.5d0) / (x * (x * x)))
else if (l_m <= 1.5d+298) then
tmp = (t_m * sqrt(x)) / l_m
else
tmp = 1.0d0
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 4.3e+175) {
tmp = (1.0 + ((-1.0 + (0.5 / x)) / x)) + (-0.5 / (x * (x * x)));
} else if (l_m <= 1.5e+298) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else {
tmp = 1.0;
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 4.3e+175: tmp = (1.0 + ((-1.0 + (0.5 / x)) / x)) + (-0.5 / (x * (x * x))) elif l_m <= 1.5e+298: tmp = (t_m * math.sqrt(x)) / l_m else: tmp = 1.0 return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 4.3e+175) tmp = Float64(Float64(1.0 + Float64(Float64(-1.0 + Float64(0.5 / x)) / x)) + Float64(-0.5 / Float64(x * Float64(x * x)))); elseif (l_m <= 1.5e+298) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); else tmp = 1.0; end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 4.3e+175) tmp = (1.0 + ((-1.0 + (0.5 / x)) / x)) + (-0.5 / (x * (x * x))); elseif (l_m <= 1.5e+298) tmp = (t_m * sqrt(x)) / l_m; else tmp = 1.0; end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 4.3e+175], N[(N[(1.0 + N[(N[(-1.0 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(-0.5 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[l$95$m, 1.5e+298], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], 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 \begin{array}{l}
\mathbf{if}\;l\_m \leq 4.3 \cdot 10^{+175}:\\
\;\;\;\;\left(1 + \frac{-1 + \frac{0.5}{x}}{x}\right) + \frac{-0.5}{x \cdot \left(x \cdot x\right)}\\
\mathbf{elif}\;l\_m \leq 1.5 \cdot 10^{+298}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if l < 4.29999999999999984e175Initial program 33.6%
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-+.f6441.1%
Simplified41.1%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6441.2%
Simplified41.2%
Taylor expanded in x around inf
associate--r+N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified40.9%
if 4.29999999999999984e175 < l < 1.49999999999999994e298Initial program 0.0%
Taylor expanded in l around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-commutativeN/A
metadata-evalN/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-+.f648.9%
Simplified8.9%
Taylor expanded in x around inf
/-lowering-/.f6463.9%
Simplified63.9%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6464.2%
Simplified64.2%
if 1.49999999999999994e298 < l Initial program 0.0%
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-+.f6477.5%
Simplified77.5%
Taylor expanded in x around inf
Simplified77.5%
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 (/ (+ -1.0 (/ 0.5 x)) 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 + ((-1.0 + (0.5 / x)) / 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 + (((-1.0d0) + (0.5d0 / x)) / 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 + ((-1.0 + (0.5 / x)) / 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 + ((-1.0 + (0.5 / x)) / 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(Float64(1.0 + Float64(Float64(-1.0 + Float64(0.5 / x)) / 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 + ((-1.0 + (0.5 / x)) / 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[(N[(1.0 + N[(N[(-1.0 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(-0.5 / N[(x * N[(x * x), $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(\left(1 + \frac{-1 + \frac{0.5}{x}}{x}\right) + \frac{-0.5}{x \cdot \left(x \cdot x\right)}\right)
\end{array}
Initial program 29.4%
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-+.f6438.4%
Simplified38.4%
Taylor expanded in t around 0
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
+-commutativeN/A
+-lowering-+.f6438.4%
Simplified38.4%
Taylor expanded in x around inf
associate--r+N/A
sub-negN/A
+-lowering-+.f64N/A
Simplified38.2%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ (- -1.0 (/ (+ -0.5 (/ 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 + ((-1.0 - ((-0.5 + (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 + (((-1.0d0) - (((-0.5d0) + (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 + ((-1.0 - ((-0.5 + (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 + ((-1.0 - ((-0.5 + (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(-1.0 - Float64(Float64(-0.5 + Float64(0.5 / x)) / 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 + (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[(-1.0 - N[(N[(-0.5 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision] / 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 + \frac{0.5}{x}}{x}}{x}\right)
\end{array}
Initial program 29.4%
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-+.f6438.4%
Simplified38.4%
*-commutativeN/A
associate-/r*N/A
*-inversesN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f6438.4%
Applied egg-rr38.4%
flip-+N/A
sub-negN/A
metadata-evalN/A
distribute-neg-inN/A
+-commutativeN/A
/-lowering-/.f64N/A
metadata-evalN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
distribute-neg-inN/A
metadata-evalN/A
sub-negN/A
--lowering--.f6419.8%
Applied egg-rr19.8%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified38.2%
Final simplification38.2%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 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 29.4%
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-+.f6438.4%
Simplified38.4%
*-commutativeN/A
associate-/r*N/A
*-inversesN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f6438.4%
Applied egg-rr38.4%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
Simplified38.1%
Final simplification38.1%
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 (/ 1.0 (+ 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) {
return t_s * (1.0 / (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 + (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 + (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 + (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 + 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 + (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 + N[(1.0 / x), $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 \frac{1}{1 + \frac{1}{x}}
\end{array}
Initial program 29.4%
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-+.f6438.4%
Simplified38.4%
*-commutativeN/A
associate-/r*N/A
*-inversesN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
+-commutativeN/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
+-lowering-+.f6438.4%
Applied egg-rr38.4%
Taylor expanded in x around inf
+-lowering-+.f64N/A
/-lowering-/.f6437.8%
Simplified37.8%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ -1.0 x))))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * (1.0d0 + ((-1.0d0) / x))
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * (1.0 + (-1.0 / x))
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * Float64(1.0 + Float64(-1.0 / x))) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * (1.0 + (-1.0 / x)); end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(1 + \frac{-1}{x}\right)
\end{array}
Initial program 29.4%
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-+.f6438.4%
Simplified38.4%
Taylor expanded in x around inf
--lowering--.f64N/A
/-lowering-/.f6437.8%
Simplified37.8%
Final simplification37.8%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s 1.0))
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 29.4%
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-+.f6438.4%
Simplified38.4%
Taylor expanded in x around inf
Simplified37.3%
herbie shell --seed 2024161
(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)))))