
(FPCore (p x) :precision binary64 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))
double code(double p, double x) {
return sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
}
real(8) function code(p, x)
real(8), intent (in) :: p
real(8), intent (in) :: x
code = sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p) * p) + (x * x)))))))
end function
public static double code(double p, double x) {
return Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p) * p) + (x * x)))))));
}
def code(p, x): return math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p) * p) + (x * x)))))))
function code(p, x) return sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p) * p) + Float64(x * x))))))) end
function tmp = code(p, x) tmp = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x))))))); end
code[p_, x_] := N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p), $MachinePrecision] * p), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 6 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (p x) :precision binary64 (sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))
double code(double p, double x) {
return sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x)))))));
}
real(8) function code(p, x)
real(8), intent (in) :: p
real(8), intent (in) :: x
code = sqrt((0.5d0 * (1.0d0 + (x / sqrt((((4.0d0 * p) * p) + (x * x)))))))
end function
public static double code(double p, double x) {
return Math.sqrt((0.5 * (1.0 + (x / Math.sqrt((((4.0 * p) * p) + (x * x)))))));
}
def code(p, x): return math.sqrt((0.5 * (1.0 + (x / math.sqrt((((4.0 * p) * p) + (x * x)))))))
function code(p, x) return sqrt(Float64(0.5 * Float64(1.0 + Float64(x / sqrt(Float64(Float64(Float64(4.0 * p) * p) + Float64(x * x))))))) end
function tmp = code(p, x) tmp = sqrt((0.5 * (1.0 + (x / sqrt((((4.0 * p) * p) + (x * x))))))); end
code[p_, x_] := N[Sqrt[N[(0.5 * N[(1.0 + N[(x / N[Sqrt[N[(N[(N[(4.0 * p), $MachinePrecision] * p), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{0.5 \cdot \left(1 + \frac{x}{\sqrt{\left(4 \cdot p\right) \cdot p + x \cdot x}}\right)}
\end{array}
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(let* ((t_0 (/ x (sqrt (+ (* p_m (* 4.0 p_m)) (* x x))))))
(if (<= t_0 -0.5)
(/ (* p_m (+ -1.0 (/ (* 1.5 (/ (* p_m p_m) x)) x))) x)
(sqrt (* 0.5 (+ t_0 1.0))))))p_m = fabs(p);
double code(double p_m, double x) {
double t_0 = x / sqrt(((p_m * (4.0 * p_m)) + (x * x)));
double tmp;
if (t_0 <= -0.5) {
tmp = (p_m * (-1.0 + ((1.5 * ((p_m * p_m) / x)) / x))) / x;
} else {
tmp = sqrt((0.5 * (t_0 + 1.0)));
}
return tmp;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x / sqrt(((p_m * (4.0d0 * p_m)) + (x * x)))
if (t_0 <= (-0.5d0)) then
tmp = (p_m * ((-1.0d0) + ((1.5d0 * ((p_m * p_m) / x)) / x))) / x
else
tmp = sqrt((0.5d0 * (t_0 + 1.0d0)))
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double t_0 = x / Math.sqrt(((p_m * (4.0 * p_m)) + (x * x)));
double tmp;
if (t_0 <= -0.5) {
tmp = (p_m * (-1.0 + ((1.5 * ((p_m * p_m) / x)) / x))) / x;
} else {
tmp = Math.sqrt((0.5 * (t_0 + 1.0)));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): t_0 = x / math.sqrt(((p_m * (4.0 * p_m)) + (x * x))) tmp = 0 if t_0 <= -0.5: tmp = (p_m * (-1.0 + ((1.5 * ((p_m * p_m) / x)) / x))) / x else: tmp = math.sqrt((0.5 * (t_0 + 1.0))) return tmp
p_m = abs(p) function code(p_m, x) t_0 = Float64(x / sqrt(Float64(Float64(p_m * Float64(4.0 * p_m)) + Float64(x * x)))) tmp = 0.0 if (t_0 <= -0.5) tmp = Float64(Float64(p_m * Float64(-1.0 + Float64(Float64(1.5 * Float64(Float64(p_m * p_m) / x)) / x))) / x); else tmp = sqrt(Float64(0.5 * Float64(t_0 + 1.0))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) t_0 = x / sqrt(((p_m * (4.0 * p_m)) + (x * x))); tmp = 0.0; if (t_0 <= -0.5) tmp = (p_m * (-1.0 + ((1.5 * ((p_m * p_m) / x)) / x))) / x; else tmp = sqrt((0.5 * (t_0 + 1.0))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision]
code[p$95$m_, x_] := Block[{t$95$0 = N[(x / N[Sqrt[N[(N[(p$95$m * N[(4.0 * p$95$m), $MachinePrecision]), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$0, -0.5], N[(N[(p$95$m * N[(-1.0 + N[(N[(1.5 * N[(N[(p$95$m * p$95$m), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision], N[Sqrt[N[(0.5 * N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
t_0 := \frac{x}{\sqrt{p\_m \cdot \left(4 \cdot p\_m\right) + x \cdot x}}\\
\mathbf{if}\;t\_0 \leq -0.5:\\
\;\;\;\;\frac{p\_m \cdot \left(-1 + \frac{1.5 \cdot \frac{p\_m \cdot p\_m}{x}}{x}\right)}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 \cdot \left(t\_0 + 1\right)}\\
\end{array}
\end{array}
if (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))) < -0.5Initial program 13.8%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6413.8%
Simplified13.8%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified42.1%
Taylor expanded in p around 0
Simplified55.8%
if -0.5 < (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))) Initial program 100.0%
Final simplification89.8%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= p_m 4.2e-77)
1.0
(if (<= p_m 9.5e-11)
(- 0.0 (/ p_m x))
(sqrt
(+
0.5
(/
(* x 0.5)
(+
(* p_m 2.0)
(*
(* x x)
(+
(/ 0.25 p_m)
(/ (* (* x x) -0.015625) (* p_m (* p_m p_m))))))))))))p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (p_m <= 4.2e-77) {
tmp = 1.0;
} else if (p_m <= 9.5e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + ((x * x) * ((0.25 / p_m) + (((x * x) * -0.015625) / (p_m * (p_m * p_m)))))))));
}
return tmp;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
real(8) :: tmp
if (p_m <= 4.2d-77) then
tmp = 1.0d0
else if (p_m <= 9.5d-11) then
tmp = 0.0d0 - (p_m / x)
else
tmp = sqrt((0.5d0 + ((x * 0.5d0) / ((p_m * 2.0d0) + ((x * x) * ((0.25d0 / p_m) + (((x * x) * (-0.015625d0)) / (p_m * (p_m * p_m)))))))))
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (p_m <= 4.2e-77) {
tmp = 1.0;
} else if (p_m <= 9.5e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = Math.sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + ((x * x) * ((0.25 / p_m) + (((x * x) * -0.015625) / (p_m * (p_m * p_m)))))))));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if p_m <= 4.2e-77: tmp = 1.0 elif p_m <= 9.5e-11: tmp = 0.0 - (p_m / x) else: tmp = math.sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + ((x * x) * ((0.25 / p_m) + (((x * x) * -0.015625) / (p_m * (p_m * p_m))))))))) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (p_m <= 4.2e-77) tmp = 1.0; elseif (p_m <= 9.5e-11) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = sqrt(Float64(0.5 + Float64(Float64(x * 0.5) / Float64(Float64(p_m * 2.0) + Float64(Float64(x * x) * Float64(Float64(0.25 / p_m) + Float64(Float64(Float64(x * x) * -0.015625) / Float64(p_m * Float64(p_m * p_m))))))))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (p_m <= 4.2e-77) tmp = 1.0; elseif (p_m <= 9.5e-11) tmp = 0.0 - (p_m / x); else tmp = sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + ((x * x) * ((0.25 / p_m) + (((x * x) * -0.015625) / (p_m * (p_m * p_m))))))))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[p$95$m, 4.2e-77], 1.0, If[LessEqual[p$95$m, 9.5e-11], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(0.5 + N[(N[(x * 0.5), $MachinePrecision] / N[(N[(p$95$m * 2.0), $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(N[(0.25 / p$95$m), $MachinePrecision] + N[(N[(N[(x * x), $MachinePrecision] * -0.015625), $MachinePrecision] / N[(p$95$m * N[(p$95$m * p$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;p\_m \leq 4.2 \cdot 10^{-77}:\\
\;\;\;\;1\\
\mathbf{elif}\;p\_m \leq 9.5 \cdot 10^{-11}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 + \frac{x \cdot 0.5}{p\_m \cdot 2 + \left(x \cdot x\right) \cdot \left(\frac{0.25}{p\_m} + \frac{\left(x \cdot x\right) \cdot -0.015625}{p\_m \cdot \left(p\_m \cdot p\_m\right)}\right)}}\\
\end{array}
\end{array}
if p < 4.20000000000000031e-77Initial program 77.4%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6477.4%
Simplified77.4%
Taylor expanded in x around inf
Simplified43.8%
if 4.20000000000000031e-77 < p < 9.49999999999999951e-11Initial program 31.6%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6431.6%
Simplified31.6%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6472.7%
Simplified72.7%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6472.7%
Applied egg-rr72.7%
if 9.49999999999999951e-11 < p Initial program 92.7%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6492.7%
Simplified92.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6488.1%
Simplified88.1%
Final simplification56.0%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= p_m 1.02e-81)
1.0
(if (<= p_m 2.8e-11)
(- 0.0 (/ p_m x))
(sqrt (+ 0.5 (/ (* x 0.5) (+ (* p_m 2.0) (* x (* x (/ 0.25 p_m))))))))))p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (p_m <= 1.02e-81) {
tmp = 1.0;
} else if (p_m <= 2.8e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + (x * (x * (0.25 / p_m)))))));
}
return tmp;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
real(8) :: tmp
if (p_m <= 1.02d-81) then
tmp = 1.0d0
else if (p_m <= 2.8d-11) then
tmp = 0.0d0 - (p_m / x)
else
tmp = sqrt((0.5d0 + ((x * 0.5d0) / ((p_m * 2.0d0) + (x * (x * (0.25d0 / p_m)))))))
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (p_m <= 1.02e-81) {
tmp = 1.0;
} else if (p_m <= 2.8e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = Math.sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + (x * (x * (0.25 / p_m)))))));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if p_m <= 1.02e-81: tmp = 1.0 elif p_m <= 2.8e-11: tmp = 0.0 - (p_m / x) else: tmp = math.sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + (x * (x * (0.25 / p_m))))))) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (p_m <= 1.02e-81) tmp = 1.0; elseif (p_m <= 2.8e-11) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = sqrt(Float64(0.5 + Float64(Float64(x * 0.5) / Float64(Float64(p_m * 2.0) + Float64(x * Float64(x * Float64(0.25 / p_m))))))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (p_m <= 1.02e-81) tmp = 1.0; elseif (p_m <= 2.8e-11) tmp = 0.0 - (p_m / x); else tmp = sqrt((0.5 + ((x * 0.5) / ((p_m * 2.0) + (x * (x * (0.25 / p_m))))))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[p$95$m, 1.02e-81], 1.0, If[LessEqual[p$95$m, 2.8e-11], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(0.5 + N[(N[(x * 0.5), $MachinePrecision] / N[(N[(p$95$m * 2.0), $MachinePrecision] + N[(x * N[(x * N[(0.25 / p$95$m), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;p\_m \leq 1.02 \cdot 10^{-81}:\\
\;\;\;\;1\\
\mathbf{elif}\;p\_m \leq 2.8 \cdot 10^{-11}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 + \frac{x \cdot 0.5}{p\_m \cdot 2 + x \cdot \left(x \cdot \frac{0.25}{p\_m}\right)}}\\
\end{array}
\end{array}
if p < 1.01999999999999998e-81Initial program 77.4%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6477.4%
Simplified77.4%
Taylor expanded in x around inf
Simplified43.8%
if 1.01999999999999998e-81 < p < 2.8e-11Initial program 31.6%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6431.6%
Simplified31.6%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6472.7%
Simplified72.7%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6472.7%
Applied egg-rr72.7%
if 2.8e-11 < p Initial program 92.7%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6492.7%
Simplified92.7%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
associate-*l/N/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
associate-*l*N/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
*-lowering-*.f64N/A
associate-*r/N/A
*-commutativeN/A
associate-*r/N/A
metadata-evalN/A
associate-*r/N/A
*-lowering-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6488.1%
Simplified88.1%
Final simplification56.0%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= p_m 6e-77) 1.0 (if (<= p_m 2.5e-11) (- 0.0 (/ p_m x)) (sqrt 0.5))))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (p_m <= 6e-77) {
tmp = 1.0;
} else if (p_m <= 2.5e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = sqrt(0.5);
}
return tmp;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
real(8) :: tmp
if (p_m <= 6d-77) then
tmp = 1.0d0
else if (p_m <= 2.5d-11) then
tmp = 0.0d0 - (p_m / x)
else
tmp = sqrt(0.5d0)
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (p_m <= 6e-77) {
tmp = 1.0;
} else if (p_m <= 2.5e-11) {
tmp = 0.0 - (p_m / x);
} else {
tmp = Math.sqrt(0.5);
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if p_m <= 6e-77: tmp = 1.0 elif p_m <= 2.5e-11: tmp = 0.0 - (p_m / x) else: tmp = math.sqrt(0.5) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (p_m <= 6e-77) tmp = 1.0; elseif (p_m <= 2.5e-11) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = sqrt(0.5); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (p_m <= 6e-77) tmp = 1.0; elseif (p_m <= 2.5e-11) tmp = 0.0 - (p_m / x); else tmp = sqrt(0.5); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[p$95$m, 6e-77], 1.0, If[LessEqual[p$95$m, 2.5e-11], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], N[Sqrt[0.5], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;p\_m \leq 6 \cdot 10^{-77}:\\
\;\;\;\;1\\
\mathbf{elif}\;p\_m \leq 2.5 \cdot 10^{-11}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5}\\
\end{array}
\end{array}
if p < 6.00000000000000033e-77Initial program 77.4%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6477.4%
Simplified77.4%
Taylor expanded in x around inf
Simplified43.8%
if 6.00000000000000033e-77 < p < 2.50000000000000009e-11Initial program 31.6%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6431.6%
Simplified31.6%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6472.7%
Simplified72.7%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6472.7%
Applied egg-rr72.7%
if 2.50000000000000009e-11 < p Initial program 92.7%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6492.7%
Simplified92.7%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f6487.0%
Simplified87.0%
Final simplification55.7%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -3e-235) (- 0.0 (/ p_m x)) 1.0))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -3e-235) {
tmp = 0.0 - (p_m / x);
} else {
tmp = 1.0;
}
return tmp;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
real(8) :: tmp
if (x <= (-3d-235)) then
tmp = 0.0d0 - (p_m / x)
else
tmp = 1.0d0
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (x <= -3e-235) {
tmp = 0.0 - (p_m / x);
} else {
tmp = 1.0;
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if x <= -3e-235: tmp = 0.0 - (p_m / x) else: tmp = 1.0 return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (x <= -3e-235) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = 1.0; end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (x <= -3e-235) tmp = 0.0 - (p_m / x); else tmp = 1.0; end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[x, -3e-235], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;x \leq -3 \cdot 10^{-235}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -2.9999999999999999e-235Initial program 61.2%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6461.2%
Simplified61.2%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6427.0%
Simplified27.0%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6427.0%
Applied egg-rr27.0%
if -2.9999999999999999e-235 < x Initial program 100.0%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
Simplified63.9%
Final simplification45.0%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 1.0)
p_m = fabs(p);
double code(double p_m, double x) {
return 1.0;
}
p_m = abs(p)
real(8) function code(p_m, x)
real(8), intent (in) :: p_m
real(8), intent (in) :: x
code = 1.0d0
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
return 1.0;
}
p_m = math.fabs(p) def code(p_m, x): return 1.0
p_m = abs(p) function code(p_m, x) return 1.0 end
p_m = abs(p); function tmp = code(p_m, x) tmp = 1.0; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := 1.0
\begin{array}{l}
p_m = \left|p\right|
\\
1
\end{array}
Initial program 80.1%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6480.1%
Simplified80.1%
Taylor expanded in x around inf
Simplified38.0%
(FPCore (p x) :precision binary64 (sqrt (+ 0.5 (/ (copysign 0.5 x) (hypot 1.0 (/ (* 2.0 p) x))))))
double code(double p, double x) {
return sqrt((0.5 + (copysign(0.5, x) / hypot(1.0, ((2.0 * p) / x)))));
}
public static double code(double p, double x) {
return Math.sqrt((0.5 + (Math.copySign(0.5, x) / Math.hypot(1.0, ((2.0 * p) / x)))));
}
def code(p, x): return math.sqrt((0.5 + (math.copysign(0.5, x) / math.hypot(1.0, ((2.0 * p) / x)))))
function code(p, x) return sqrt(Float64(0.5 + Float64(copysign(0.5, x) / hypot(1.0, Float64(Float64(2.0 * p) / x))))) end
function tmp = code(p, x) tmp = sqrt((0.5 + ((sign(x) * abs(0.5)) / hypot(1.0, ((2.0 * p) / x))))); end
code[p_, x_] := N[Sqrt[N[(0.5 + N[(N[With[{TMP1 = Abs[0.5], TMP2 = Sign[x]}, TMP1 * If[TMP2 == 0, 1, TMP2]], $MachinePrecision] / N[Sqrt[1.0 ^ 2 + N[(N[(2.0 * p), $MachinePrecision] / x), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{0.5 + \frac{\mathsf{copysign}\left(0.5, x\right)}{\mathsf{hypot}\left(1, \frac{2 \cdot p}{x}\right)}}
\end{array}
herbie shell --seed 2024191
(FPCore (p x)
:name "Given's Rotation SVD example"
:precision binary64
:pre (and (< 1e-150 (fabs x)) (< (fabs x) 1e+150))
:alt
(! :herbie-platform default (sqrt (+ 1/2 (/ (copysign 1/2 x) (hypot 1 (/ (* 2 p) x))))))
(sqrt (* 0.5 (+ 1.0 (/ x (sqrt (+ (* (* 4.0 p) p) (* x x))))))))