
(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 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x l t) :precision binary64 (/ (* (sqrt 2.0) t) (sqrt (- (* (/ (+ x 1.0) (- x 1.0)) (+ (* l l) (* 2.0 (* t t)))) (* l l)))))
double code(double x, double l, double t) {
return (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
real(8) function code(x, l, t)
real(8), intent (in) :: x
real(8), intent (in) :: l
real(8), intent (in) :: t
code = (sqrt(2.0d0) * t) / sqrt(((((x + 1.0d0) / (x - 1.0d0)) * ((l * l) + (2.0d0 * (t * t)))) - (l * l)))
end function
public static double code(double x, double l, double t) {
return (Math.sqrt(2.0) * t) / Math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)));
}
def code(x, l, t): return (math.sqrt(2.0) * t) / math.sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l)))
function code(x, l, t) return Float64(Float64(sqrt(2.0) * t) / sqrt(Float64(Float64(Float64(Float64(x + 1.0) / Float64(x - 1.0)) * Float64(Float64(l * l) + Float64(2.0 * Float64(t * t)))) - Float64(l * l)))) end
function tmp = code(x, l, t) tmp = (sqrt(2.0) * t) / sqrt(((((x + 1.0) / (x - 1.0)) * ((l * l) + (2.0 * (t * t)))) - (l * l))); end
code[x_, l_, t_] := N[(N[(N[Sqrt[2.0], $MachinePrecision] * t), $MachinePrecision] / N[Sqrt[N[(N[(N[(N[(x + 1.0), $MachinePrecision] / N[(x - 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(l * l), $MachinePrecision] + N[(2.0 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(l * l), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{2} \cdot t}{\sqrt{\frac{x + 1}{x - 1} \cdot \left(\ell \cdot \ell + 2 \cdot \left(t \cdot t\right)\right) - \ell \cdot \ell}}
\end{array}
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* t_m (sqrt 2.0)))
(t_3 (* 2.0 (* t_m t_m)))
(t_4 (+ (* l_m l_m) t_3))
(t_5 (* 2.0 t_4)))
(*
t_s
(if (<= t_m 1.05e-225)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 7.5e-150)
(/ t_2 (+ t_2 (* (/ 0.5 t_m) (/ t_5 (* x (sqrt 2.0))))))
(if (<= t_m 5e+43)
(/
t_2
(sqrt
(+
t_3
(/
(-
(/ (+ t_5 (+ (+ (/ t_3 x) (/ (* l_m l_m) x)) (/ t_4 x))) x)
(* t_4 -2.0))
x))))
(+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -1.0) x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = t_m * sqrt(2.0);
double t_3 = 2.0 * (t_m * t_m);
double t_4 = (l_m * l_m) + t_3;
double t_5 = 2.0 * t_4;
double tmp;
if (t_m <= 1.05e-225) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 7.5e-150) {
tmp = t_2 / (t_2 + ((0.5 / t_m) * (t_5 / (x * sqrt(2.0)))));
} else if (t_m <= 5e+43) {
tmp = t_2 / sqrt((t_3 + ((((t_5 + (((t_3 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x) - (t_4 * -2.0)) / x)));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_2 = t_m * sqrt(2.0d0)
t_3 = 2.0d0 * (t_m * t_m)
t_4 = (l_m * l_m) + t_3
t_5 = 2.0d0 * t_4
if (t_m <= 1.05d-225) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 7.5d-150) then
tmp = t_2 / (t_2 + ((0.5d0 / t_m) * (t_5 / (x * sqrt(2.0d0)))))
else if (t_m <= 5d+43) then
tmp = t_2 / sqrt((t_3 + ((((t_5 + (((t_3 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x) - (t_4 * (-2.0d0))) / x)))
else
tmp = 1.0d0 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-1.0d0)) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = t_m * Math.sqrt(2.0);
double t_3 = 2.0 * (t_m * t_m);
double t_4 = (l_m * l_m) + t_3;
double t_5 = 2.0 * t_4;
double tmp;
if (t_m <= 1.05e-225) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 7.5e-150) {
tmp = t_2 / (t_2 + ((0.5 / t_m) * (t_5 / (x * Math.sqrt(2.0)))));
} else if (t_m <= 5e+43) {
tmp = t_2 / Math.sqrt((t_3 + ((((t_5 + (((t_3 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x) - (t_4 * -2.0)) / x)));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = t_m * math.sqrt(2.0) t_3 = 2.0 * (t_m * t_m) t_4 = (l_m * l_m) + t_3 t_5 = 2.0 * t_4 tmp = 0 if t_m <= 1.05e-225: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 7.5e-150: tmp = t_2 / (t_2 + ((0.5 / t_m) * (t_5 / (x * math.sqrt(2.0))))) elif t_m <= 5e+43: tmp = t_2 / math.sqrt((t_3 + ((((t_5 + (((t_3 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x) - (t_4 * -2.0)) / x))) else: tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(t_m * sqrt(2.0)) t_3 = Float64(2.0 * Float64(t_m * t_m)) t_4 = Float64(Float64(l_m * l_m) + t_3) t_5 = Float64(2.0 * t_4) tmp = 0.0 if (t_m <= 1.05e-225) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 7.5e-150) tmp = Float64(t_2 / Float64(t_2 + Float64(Float64(0.5 / t_m) * Float64(t_5 / Float64(x * sqrt(2.0)))))); elseif (t_m <= 5e+43) tmp = Float64(t_2 / sqrt(Float64(t_3 + Float64(Float64(Float64(Float64(t_5 + Float64(Float64(Float64(t_3 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(t_4 / x))) / x) - Float64(t_4 * -2.0)) / x)))); else tmp = Float64(1.0 + Float64(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -1.0) / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = t_m * sqrt(2.0); t_3 = 2.0 * (t_m * t_m); t_4 = (l_m * l_m) + t_3; t_5 = 2.0 * t_4; tmp = 0.0; if (t_m <= 1.05e-225) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 7.5e-150) tmp = t_2 / (t_2 + ((0.5 / t_m) * (t_5 / (x * sqrt(2.0))))); elseif (t_m <= 5e+43) tmp = t_2 / sqrt((t_3 + ((((t_5 + (((t_3 / x) + ((l_m * l_m) / x)) + (t_4 / x))) / x) - (t_4 * -2.0)) / x))); else tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(2.0 * t$95$4), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 1.05e-225], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 7.5e-150], N[(t$95$2 / N[(t$95$2 + N[(N[(0.5 / t$95$m), $MachinePrecision] * N[(t$95$5 / N[(x * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 5e+43], N[(t$95$2 / N[Sqrt[N[(t$95$3 + N[(N[(N[(N[(t$95$5 + N[(N[(N[(t$95$3 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(t$95$4 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - N[(t$95$4 * -2.0), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $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)
\\
\begin{array}{l}
t_2 := t\_m \cdot \sqrt{2}\\
t_3 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_4 := l\_m \cdot l\_m + t\_3\\
t_5 := 2 \cdot t\_4\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.05 \cdot 10^{-225}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{-150}:\\
\;\;\;\;\frac{t\_2}{t\_2 + \frac{0.5}{t\_m} \cdot \frac{t\_5}{x \cdot \sqrt{2}}}\\
\mathbf{elif}\;t\_m \leq 5 \cdot 10^{+43}:\\
\;\;\;\;\frac{t\_2}{\sqrt{t\_3 + \frac{\frac{t\_5 + \left(\left(\frac{t\_3}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \frac{t\_4}{x}\right)}{x} - t\_4 \cdot -2}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 1.05e-225Initial program 31.9%
*-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-rr31.4%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f643.0%
Simplified3.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.1%
Simplified18.1%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6419.4%
Simplified19.4%
if 1.05e-225 < t < 7.5000000000000004e-150Initial program 2.5%
Taylor expanded in x around inf
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
associate-*r/N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
Simplified78.6%
if 7.5000000000000004e-150 < t < 5.0000000000000004e43Initial program 51.4%
Taylor expanded in x around -inf
Simplified87.4%
if 5.0000000000000004e43 < t Initial program 40.0%
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-+.f6497.0%
Simplified97.0%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.1%
Simplified97.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6497.1%
Simplified97.1%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval97.1%
Applied egg-rr97.1%
Final simplification52.9%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* 2.0 (* t_m t_m))) (t_3 (+ (* l_m l_m) t_2)))
(*
t_s
(if (<= t_m 9e-215)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 7.5e-150)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(if (<= t_m 1.5e+44)
(/
(* t_m (sqrt 2.0))
(sqrt
(+
t_2
(/
(-
(/
(+ (* 2.0 t_3) (+ (+ (/ t_2 x) (/ (* l_m l_m) x)) (/ t_3 x)))
x)
(* t_3 -2.0))
x))))
(+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -1.0) x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 9e-215) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 7.5e-150) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 1.5e+44) {
tmp = (t_m * sqrt(2.0)) / sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x)));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = (l_m * l_m) + t_2
if (t_m <= 9d-215) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 7.5d-150) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else if (t_m <= 1.5d+44) then
tmp = (t_m * sqrt(2.0d0)) / sqrt((t_2 + (((((2.0d0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * (-2.0d0))) / x)))
else
tmp = 1.0d0 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-1.0d0)) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 9e-215) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 7.5e-150) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 1.5e+44) {
tmp = (t_m * Math.sqrt(2.0)) / Math.sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x)));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) t_3 = (l_m * l_m) + t_2 tmp = 0 if t_m <= 9e-215: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 7.5e-150: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) elif t_m <= 1.5e+44: tmp = (t_m * math.sqrt(2.0)) / math.sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x))) else: tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(Float64(l_m * l_m) + t_2) tmp = 0.0 if (t_m <= 9e-215) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 7.5e-150) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); elseif (t_m <= 1.5e+44) tmp = Float64(Float64(t_m * sqrt(2.0)) / sqrt(Float64(t_2 + Float64(Float64(Float64(Float64(Float64(2.0 * t_3) + Float64(Float64(Float64(t_2 / x) + Float64(Float64(l_m * l_m) / x)) + Float64(t_3 / x))) / x) - Float64(t_3 * -2.0)) / x)))); else tmp = Float64(1.0 + Float64(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -1.0) / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); t_3 = (l_m * l_m) + t_2; tmp = 0.0; if (t_m <= 9e-215) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 7.5e-150) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); elseif (t_m <= 1.5e+44) tmp = (t_m * sqrt(2.0)) / sqrt((t_2 + (((((2.0 * t_3) + (((t_2 / x) + ((l_m * l_m) / x)) + (t_3 / x))) / x) - (t_3 * -2.0)) / x))); else tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 9e-215], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 7.5e-150], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 1.5e+44], N[(N[(t$95$m * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(t$95$2 + N[(N[(N[(N[(N[(2.0 * t$95$3), $MachinePrecision] + N[(N[(N[(t$95$2 / x), $MachinePrecision] + N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] + N[(t$95$3 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - N[(t$95$3 * -2.0), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $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)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := l\_m \cdot l\_m + t\_2\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 9 \cdot 10^{-215}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{-150}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{elif}\;t\_m \leq 1.5 \cdot 10^{+44}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{2}}{\sqrt{t\_2 + \frac{\frac{2 \cdot t\_3 + \left(\left(\frac{t\_2}{x} + \frac{l\_m \cdot l\_m}{x}\right) + \frac{t\_3}{x}\right)}{x} - t\_3 \cdot -2}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 9e-215Initial program 31.5%
*-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-rr31.0%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f643.0%
Simplified3.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.5%
Simplified18.5%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6419.9%
Simplified19.9%
if 9e-215 < t < 7.5000000000000004e-150Initial program 2.7%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6478.5%
Simplified78.5%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6478.7%
Simplified78.7%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6478.7%
Simplified78.7%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6478.7%
Simplified78.7%
if 7.5000000000000004e-150 < t < 1.49999999999999993e44Initial program 51.4%
Taylor expanded in x around -inf
Simplified87.4%
if 1.49999999999999993e44 < t Initial program 40.0%
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-+.f6497.0%
Simplified97.0%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.1%
Simplified97.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6497.1%
Simplified97.1%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval97.1%
Applied egg-rr97.1%
Final simplification52.7%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(let* ((t_2 (* 2.0 (* t_m t_m))) (t_3 (+ (* l_m l_m) t_2)))
(*
t_s
(if (<= t_m 4.2e-215)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 7.5e-155)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(if (<= t_m 2.15e+43)
(*
t_m
(sqrt
(/
2.0
(+
t_2
(/
(+
(+ (/ t_3 x) (+ t_3 t_3))
(+ (/ (* l_m l_m) x) (* 2.0 (/ (* t_m t_m) x))))
x)))))
(+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -1.0) x))))))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 4.2e-215) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 7.5e-155) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.15e+43) {
tmp = t_m * sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_3 + t_3)) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x))));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_2 = 2.0d0 * (t_m * t_m)
t_3 = (l_m * l_m) + t_2
if (t_m <= 4.2d-215) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 7.5d-155) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else if (t_m <= 2.15d+43) then
tmp = t_m * sqrt((2.0d0 / (t_2 + ((((t_3 / x) + (t_3 + t_3)) + (((l_m * l_m) / x) + (2.0d0 * ((t_m * t_m) / x)))) / x))))
else
tmp = 1.0d0 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-1.0d0)) / x)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double t_2 = 2.0 * (t_m * t_m);
double t_3 = (l_m * l_m) + t_2;
double tmp;
if (t_m <= 4.2e-215) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 7.5e-155) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2.15e+43) {
tmp = t_m * Math.sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_3 + t_3)) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x))));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): t_2 = 2.0 * (t_m * t_m) t_3 = (l_m * l_m) + t_2 tmp = 0 if t_m <= 4.2e-215: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 7.5e-155: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) elif t_m <= 2.15e+43: tmp = t_m * math.sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_3 + t_3)) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x)))) else: tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) t_2 = Float64(2.0 * Float64(t_m * t_m)) t_3 = Float64(Float64(l_m * l_m) + t_2) tmp = 0.0 if (t_m <= 4.2e-215) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 7.5e-155) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); elseif (t_m <= 2.15e+43) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(t_2 + Float64(Float64(Float64(Float64(t_3 / x) + Float64(t_3 + t_3)) + Float64(Float64(Float64(l_m * l_m) / x) + Float64(2.0 * Float64(Float64(t_m * t_m) / x)))) / x))))); else tmp = Float64(1.0 + Float64(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -1.0) / x)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) t_2 = 2.0 * (t_m * t_m); t_3 = (l_m * l_m) + t_2; tmp = 0.0; if (t_m <= 4.2e-215) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 7.5e-155) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); elseif (t_m <= 2.15e+43) tmp = t_m * sqrt((2.0 / (t_2 + ((((t_3 / x) + (t_3 + t_3)) + (((l_m * l_m) / x) + (2.0 * ((t_m * t_m) / x)))) / x)))); else tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := Block[{t$95$2 = N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(l$95$m * l$95$m), $MachinePrecision] + t$95$2), $MachinePrecision]}, N[(t$95$s * If[LessEqual[t$95$m, 4.2e-215], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 7.5e-155], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2.15e+43], N[(t$95$m * N[Sqrt[N[(2.0 / N[(t$95$2 + N[(N[(N[(N[(t$95$3 / x), $MachinePrecision] + N[(t$95$3 + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(l$95$m * l$95$m), $MachinePrecision] / x), $MachinePrecision] + N[(2.0 * N[(N[(t$95$m * t$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $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)
\\
\begin{array}{l}
t_2 := 2 \cdot \left(t\_m \cdot t\_m\right)\\
t_3 := l\_m \cdot l\_m + t\_2\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 4.2 \cdot 10^{-215}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 7.5 \cdot 10^{-155}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{elif}\;t\_m \leq 2.15 \cdot 10^{+43}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{t\_2 + \frac{\left(\frac{t\_3}{x} + \left(t\_3 + t\_3\right)\right) + \left(\frac{l\_m \cdot l\_m}{x} + 2 \cdot \frac{t\_m \cdot t\_m}{x}\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\\
\end{array}
\end{array}
\end{array}
if t < 4.2e-215Initial program 31.5%
*-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-rr31.0%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f643.0%
Simplified3.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.5%
Simplified18.5%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6419.9%
Simplified19.9%
if 4.2e-215 < t < 7.5000000000000006e-155Initial program 2.6%
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-+.f6475.9%
Simplified75.9%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6476.1%
Simplified76.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6476.1%
Simplified76.1%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6476.1%
Simplified76.1%
if 7.5000000000000006e-155 < t < 2.15e43Initial program 49.9%
*-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-rr50.1%
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
Simplified88.1%
if 2.15e43 < t Initial program 40.0%
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-+.f6497.0%
Simplified97.0%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.1%
Simplified97.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6497.1%
Simplified97.1%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval97.1%
Applied egg-rr97.1%
Final simplification52.7%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= t_m 1.3e-215)
(/ (* t_m (sqrt x)) l_m)
(if (<= t_m 1.85e-155)
(+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))
(if (<= t_m 2e+43)
(*
t_m
(sqrt
(/
2.0
(-
(* 2.0 (* t_m t_m))
(/ (* -2.0 (+ (* l_m l_m) (+ (* t_m t_m) (* t_m t_m)))) x)))))
(+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -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 <= 1.3e-215) {
tmp = (t_m * sqrt(x)) / l_m;
} else if (t_m <= 1.85e-155) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2e+43) {
tmp = t_m * sqrt((2.0 / ((2.0 * (t_m * t_m)) - ((-2.0 * ((l_m * l_m) + ((t_m * t_m) + (t_m * t_m)))) / x))));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -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 <= 1.3d-215) then
tmp = (t_m * sqrt(x)) / l_m
else if (t_m <= 1.85d-155) then
tmp = 1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x)
else if (t_m <= 2d+43) then
tmp = t_m * sqrt((2.0d0 / ((2.0d0 * (t_m * t_m)) - (((-2.0d0) * ((l_m * l_m) + ((t_m * t_m) + (t_m * t_m)))) / x))))
else
tmp = 1.0d0 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-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 <= 1.3e-215) {
tmp = (t_m * Math.sqrt(x)) / l_m;
} else if (t_m <= 1.85e-155) {
tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x);
} else if (t_m <= 2e+43) {
tmp = t_m * Math.sqrt((2.0 / ((2.0 * (t_m * t_m)) - ((-2.0 * ((l_m * l_m) + ((t_m * t_m) + (t_m * t_m)))) / x))));
} else {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -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 <= 1.3e-215: tmp = (t_m * math.sqrt(x)) / l_m elif t_m <= 1.85e-155: tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x) elif t_m <= 2e+43: tmp = t_m * math.sqrt((2.0 / ((2.0 * (t_m * t_m)) - ((-2.0 * ((l_m * l_m) + ((t_m * t_m) + (t_m * t_m)))) / x)))) else: tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -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 <= 1.3e-215) tmp = Float64(Float64(t_m * sqrt(x)) / l_m); elseif (t_m <= 1.85e-155) tmp = Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x)); elseif (t_m <= 2e+43) tmp = Float64(t_m * sqrt(Float64(2.0 / Float64(Float64(2.0 * Float64(t_m * t_m)) - Float64(Float64(-2.0 * Float64(Float64(l_m * l_m) + Float64(Float64(t_m * t_m) + Float64(t_m * t_m)))) / x))))); else tmp = Float64(1.0 + Float64(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -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 <= 1.3e-215) tmp = (t_m * sqrt(x)) / l_m; elseif (t_m <= 1.85e-155) tmp = 1.0 + ((-1.0 - (-0.5 / x)) / x); elseif (t_m <= 2e+43) tmp = t_m * sqrt((2.0 / ((2.0 * (t_m * t_m)) - ((-2.0 * ((l_m * l_m) + ((t_m * t_m) + (t_m * t_m)))) / x)))); else tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -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, 1.3e-215], N[(N[(t$95$m * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / l$95$m), $MachinePrecision], If[LessEqual[t$95$m, 1.85e-155], N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$m, 2e+43], N[(t$95$m * N[Sqrt[N[(2.0 / N[(N[(2.0 * N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision] - N[(N[(-2.0 * N[(N[(l$95$m * l$95$m), $MachinePrecision] + N[(N[(t$95$m * t$95$m), $MachinePrecision] + N[(t$95$m * t$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;t\_m \leq 1.3 \cdot 10^{-215}:\\
\;\;\;\;\frac{t\_m \cdot \sqrt{x}}{l\_m}\\
\mathbf{elif}\;t\_m \leq 1.85 \cdot 10^{-155}:\\
\;\;\;\;1 + \frac{-1 - \frac{-0.5}{x}}{x}\\
\mathbf{elif}\;t\_m \leq 2 \cdot 10^{+43}:\\
\;\;\;\;t\_m \cdot \sqrt{\frac{2}{2 \cdot \left(t\_m \cdot t\_m\right) - \frac{-2 \cdot \left(l\_m \cdot l\_m + \left(t\_m \cdot t\_m + t\_m \cdot t\_m\right)\right)}{x}}}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\\
\end{array}
\end{array}
if t < 1.3e-215Initial program 31.5%
*-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-rr31.0%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f643.0%
Simplified3.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.5%
Simplified18.5%
Taylor expanded in t around 0
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f6419.9%
Simplified19.9%
if 1.3e-215 < t < 1.85e-155Initial program 2.6%
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-+.f6475.9%
Simplified75.9%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6476.1%
Simplified76.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6476.1%
Simplified76.1%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6476.1%
Simplified76.1%
if 1.85e-155 < t < 2.00000000000000003e43Initial program 49.9%
*-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-rr50.1%
Taylor expanded in l around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
Simplified63.9%
Taylor expanded in x around -inf
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Simplified88.0%
if 2.00000000000000003e43 < t Initial program 40.0%
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-+.f6497.0%
Simplified97.0%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.1%
Simplified97.1%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6497.1%
Simplified97.1%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval97.1%
Applied egg-rr97.1%
Final simplification52.7%
l_m = (fabs.f64 l)
t\_m = (fabs.f64 t)
t\_s = (copysign.f64 #s(literal 1 binary64) t)
(FPCore (t_s x l_m t_m)
:precision binary64
(*
t_s
(if (<= l_m 7.5e+194)
(+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -1.0) x))
(* t_m (/ (sqrt x) l_m)))))l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 7.5e+194) {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
} else {
tmp = t_m * (sqrt(x) / l_m);
}
return t_s * tmp;
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
real(8) :: tmp
if (l_m <= 7.5d+194) then
tmp = 1.0d0 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-1.0d0)) / x)
else
tmp = t_m * (sqrt(x) / l_m)
end if
code = t_s * tmp
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
double tmp;
if (l_m <= 7.5e+194) {
tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x);
} else {
tmp = t_m * (Math.sqrt(x) / l_m);
}
return t_s * tmp;
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): tmp = 0 if l_m <= 7.5e+194: tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x) else: tmp = t_m * (math.sqrt(x) / l_m) return t_s * tmp
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) tmp = 0.0 if (l_m <= 7.5e+194) tmp = Float64(1.0 + Float64(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -1.0) / x)); else tmp = Float64(t_m * Float64(sqrt(x) / l_m)); end return Float64(t_s * tmp) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp_2 = code(t_s, x, l_m, t_m) tmp = 0.0; if (l_m <= 7.5e+194) tmp = 1.0 + ((((0.5 + (-0.5 / x)) / x) + -1.0) / x); else tmp = t_m * (sqrt(x) / l_m); end tmp_2 = t_s * tmp; end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * If[LessEqual[l$95$m, 7.5e+194], N[(1.0 + N[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision], N[(t$95$m * N[(N[Sqrt[x], $MachinePrecision] / l$95$m), $MachinePrecision]), $MachinePrecision]]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \begin{array}{l}
\mathbf{if}\;l\_m \leq 7.5 \cdot 10^{+194}:\\
\;\;\;\;1 + \frac{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\\
\mathbf{else}:\\
\;\;\;\;t\_m \cdot \frac{\sqrt{x}}{l\_m}\\
\end{array}
\end{array}
if l < 7.5000000000000002e194Initial program 37.7%
Taylor expanded in l around 0
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f6443.3%
Simplified43.3%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6443.4%
Simplified43.4%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6443.4%
Simplified43.4%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval43.4%
Applied egg-rr43.4%
if 7.5000000000000002e194 < l Initial program 0.0%
*-commutativeN/A
associate-/l*N/A
*-lowering-*.f64N/A
sqrt-undivN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
Applied egg-rr0.0%
Taylor expanded in t around 0
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f640.0%
Simplified0.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
cancel-sign-sub-invN/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6421.8%
Simplified21.8%
Taylor expanded in l around 0
associate-*l/N/A
*-lft-identityN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f6480.9%
Simplified80.9%
Final simplification45.6%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ (+ (/ (+ 0.5 (/ -0.5 x)) x) -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 + ((((0.5 + (-0.5 / x)) / x) + -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 + ((((0.5d0 + ((-0.5d0) / x)) / x) + (-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 + ((((0.5 + (-0.5 / x)) / x) + -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 + ((((0.5 + (-0.5 / x)) / x) + -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(Float64(Float64(Float64(0.5 + Float64(-0.5 / x)) / x) + -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 + ((((0.5 + (-0.5 / x)) / x) + -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[(N[(N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + -1.0), $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{\frac{0.5 + \frac{-0.5}{x}}{x} + -1}{x}\right)
\end{array}
Initial program 35.4%
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-+.f6441.6%
Simplified41.6%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6441.6%
Simplified41.6%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6441.6%
Simplified41.6%
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
distribute-neg-fracN/A
/-lowering-/.f64N/A
metadata-eval41.6%
Applied egg-rr41.6%
Final simplification41.6%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ (- -1.0 (/ -0.5 x)) x))))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x));
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * (1.0d0 + (((-1.0d0) - ((-0.5d0) / x)) / x))
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x));
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x))
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * Float64(1.0 + Float64(Float64(-1.0 - Float64(-0.5 / x)) / x))) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * (1.0 + ((-1.0 - (-0.5 / x)) / x)); end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * N[(1.0 + N[(N[(-1.0 - N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(1 + \frac{-1 - \frac{-0.5}{x}}{x}\right)
\end{array}
Initial program 35.4%
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-+.f6441.6%
Simplified41.6%
Taylor expanded in x around inf
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6441.6%
Simplified41.6%
Taylor expanded in x around -inf
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6441.6%
Simplified41.6%
Taylor expanded in x around -inf
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
/-lowering-/.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6441.6%
Simplified41.6%
Final simplification41.6%
l_m = (fabs.f64 l) t\_m = (fabs.f64 t) t\_s = (copysign.f64 #s(literal 1 binary64) t) (FPCore (t_s x l_m t_m) :precision binary64 (* t_s (+ 1.0 (/ -1.0 x))))
l_m = fabs(l);
t\_m = fabs(t);
t\_s = copysign(1.0, t);
double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = abs(l)
t\_m = abs(t)
t\_s = copysign(1.0d0, t)
real(8) function code(t_s, x, l_m, t_m)
real(8), intent (in) :: t_s
real(8), intent (in) :: x
real(8), intent (in) :: l_m
real(8), intent (in) :: t_m
code = t_s * (1.0d0 + ((-1.0d0) / x))
end function
l_m = Math.abs(l);
t\_m = Math.abs(t);
t\_s = Math.copySign(1.0, t);
public static double code(double t_s, double x, double l_m, double t_m) {
return t_s * (1.0 + (-1.0 / x));
}
l_m = math.fabs(l) t\_m = math.fabs(t) t\_s = math.copysign(1.0, t) def code(t_s, x, l_m, t_m): return t_s * (1.0 + (-1.0 / x))
l_m = abs(l) t\_m = abs(t) t\_s = copysign(1.0, t) function code(t_s, x, l_m, t_m) return Float64(t_s * Float64(1.0 + Float64(-1.0 / x))) end
l_m = abs(l); t\_m = abs(t); t\_s = sign(t) * abs(1.0); function tmp = code(t_s, x, l_m, t_m) tmp = t_s * (1.0 + (-1.0 / x)); end
l_m = N[Abs[l], $MachinePrecision]
t\_m = N[Abs[t], $MachinePrecision]
t\_s = N[With[{TMP1 = Abs[1.0], TMP2 = Sign[t]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision]
code[t$95$s_, x_, l$95$m_, t$95$m_] := N[(t$95$s * N[(1.0 + N[(-1.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
l_m = \left|\ell\right|
\\
t\_m = \left|t\right|
\\
t\_s = \mathsf{copysign}\left(1, t\right)
\\
t\_s \cdot \left(1 + \frac{-1}{x}\right)
\end{array}
Initial program 35.4%
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-+.f6441.6%
Simplified41.6%
Taylor expanded in x around inf
--lowering--.f64N/A
/-lowering-/.f6441.5%
Simplified41.5%
Final simplification41.5%
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 35.4%
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-+.f6441.6%
Simplified41.6%
Taylor expanded in x around inf
Simplified40.8%
herbie shell --seed 2024139
(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)))))