
(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 5 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 (if (<= (/ x (sqrt (+ (* p_m (* 4.0 p_m)) (* x x)))) -0.5) (/ (- (* (* p_m (* p_m p_m)) (/ 1.5 (* x x))) p_m) x) (sqrt (+ 0.5 (/ (* x 0.5) (hypot x (* p_m 2.0)))))))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if ((x / sqrt(((p_m * (4.0 * p_m)) + (x * x)))) <= -0.5) {
tmp = (((p_m * (p_m * p_m)) * (1.5 / (x * x))) - p_m) / x;
} else {
tmp = sqrt((0.5 + ((x * 0.5) / hypot(x, (p_m * 2.0)))));
}
return tmp;
}
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if ((x / Math.sqrt(((p_m * (4.0 * p_m)) + (x * x)))) <= -0.5) {
tmp = (((p_m * (p_m * p_m)) * (1.5 / (x * x))) - p_m) / x;
} else {
tmp = Math.sqrt((0.5 + ((x * 0.5) / Math.hypot(x, (p_m * 2.0)))));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if (x / math.sqrt(((p_m * (4.0 * p_m)) + (x * x)))) <= -0.5: tmp = (((p_m * (p_m * p_m)) * (1.5 / (x * x))) - p_m) / x else: tmp = math.sqrt((0.5 + ((x * 0.5) / math.hypot(x, (p_m * 2.0))))) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (Float64(x / sqrt(Float64(Float64(p_m * Float64(4.0 * p_m)) + Float64(x * x)))) <= -0.5) tmp = Float64(Float64(Float64(Float64(p_m * Float64(p_m * p_m)) * Float64(1.5 / Float64(x * x))) - p_m) / x); else tmp = sqrt(Float64(0.5 + Float64(Float64(x * 0.5) / hypot(x, Float64(p_m * 2.0))))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if ((x / sqrt(((p_m * (4.0 * p_m)) + (x * x)))) <= -0.5) tmp = (((p_m * (p_m * p_m)) * (1.5 / (x * x))) - p_m) / x; else tmp = sqrt((0.5 + ((x * 0.5) / hypot(x, (p_m * 2.0))))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[N[(x / N[Sqrt[N[(N[(p$95$m * N[(4.0 * p$95$m), $MachinePrecision]), $MachinePrecision] + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], -0.5], N[(N[(N[(N[(p$95$m * N[(p$95$m * p$95$m), $MachinePrecision]), $MachinePrecision] * N[(1.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - p$95$m), $MachinePrecision] / x), $MachinePrecision], N[Sqrt[N[(0.5 + N[(N[(x * 0.5), $MachinePrecision] / N[Sqrt[x ^ 2 + N[(p$95$m * 2.0), $MachinePrecision] ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;\frac{x}{\sqrt{p\_m \cdot \left(4 \cdot p\_m\right) + x \cdot x}} \leq -0.5:\\
\;\;\;\;\frac{\left(p\_m \cdot \left(p\_m \cdot p\_m\right)\right) \cdot \frac{1.5}{x \cdot x} - p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 + \frac{x \cdot 0.5}{\mathsf{hypot}\left(x, p\_m \cdot 2\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 12.3%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6412.3%
Simplified12.3%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified32.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
Simplified42.1%
if -0.5 < (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))) Initial program 100.0%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/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%
flip-+N/A
clear-numN/A
sqrt-divN/A
metadata-evalN/A
/-lowering-/.f64N/A
Applied egg-rr99.0%
sqrt-divN/A
metadata-evalN/A
remove-double-divN/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
*-commutativeN/A
metadata-evalN/A
swap-sqrN/A
hypot-defineN/A
hypot-lowering-hypot.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Final simplification86.4%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= p_m 1.65e-263)
(- 0.0 (/ p_m x))
(if (<= p_m 2.05e-13)
1.0
(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 <= 1.65e-263) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.05e-13) {
tmp = 1.0;
} 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 <= 1.65d-263) then
tmp = 0.0d0 - (p_m / x)
else if (p_m <= 2.05d-13) then
tmp = 1.0d0
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 <= 1.65e-263) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.05e-13) {
tmp = 1.0;
} 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 <= 1.65e-263: tmp = 0.0 - (p_m / x) elif p_m <= 2.05e-13: tmp = 1.0 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 <= 1.65e-263) tmp = Float64(0.0 - Float64(p_m / x)); elseif (p_m <= 2.05e-13) tmp = 1.0; 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 <= 1.65e-263) tmp = 0.0 - (p_m / x); elseif (p_m <= 2.05e-13) tmp = 1.0; 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, 1.65e-263], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[p$95$m, 2.05e-13], 1.0, 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 1.65 \cdot 10^{-263}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{elif}\;p\_m \leq 2.05 \cdot 10^{-13}:\\
\;\;\;\;1\\
\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 < 1.6499999999999998e-263Initial program 73.1%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6473.1%
Simplified73.1%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f648.2%
Simplified8.2%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f648.2%
Applied egg-rr8.2%
if 1.6499999999999998e-263 < p < 2.0500000000000001e-13Initial program 66.9%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6466.9%
Simplified66.9%
Taylor expanded in x around inf
Simplified54.0%
if 2.0500000000000001e-13 < p Initial program 98.7%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.7%
Simplified98.7%
Taylor expanded in x around 0
+-commutativeN/A
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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-/.f6497.6%
Simplified97.6%
Final simplification42.3%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= p_m 1.58e-263) (- 0.0 (/ p_m x)) (if (<= p_m 2.9e-13) 1.0 (sqrt 0.5))))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (p_m <= 1.58e-263) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.9e-13) {
tmp = 1.0;
} 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 <= 1.58d-263) then
tmp = 0.0d0 - (p_m / x)
else if (p_m <= 2.9d-13) then
tmp = 1.0d0
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 <= 1.58e-263) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.9e-13) {
tmp = 1.0;
} else {
tmp = Math.sqrt(0.5);
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if p_m <= 1.58e-263: tmp = 0.0 - (p_m / x) elif p_m <= 2.9e-13: tmp = 1.0 else: tmp = math.sqrt(0.5) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (p_m <= 1.58e-263) tmp = Float64(0.0 - Float64(p_m / x)); elseif (p_m <= 2.9e-13) tmp = 1.0; 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 <= 1.58e-263) tmp = 0.0 - (p_m / x); elseif (p_m <= 2.9e-13) tmp = 1.0; 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, 1.58e-263], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[p$95$m, 2.9e-13], 1.0, N[Sqrt[0.5], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;p\_m \leq 1.58 \cdot 10^{-263}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{elif}\;p\_m \leq 2.9 \cdot 10^{-13}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5}\\
\end{array}
\end{array}
if p < 1.57999999999999998e-263Initial program 73.1%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6473.1%
Simplified73.1%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f648.2%
Simplified8.2%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f648.2%
Applied egg-rr8.2%
if 1.57999999999999998e-263 < p < 2.8999999999999998e-13Initial program 66.9%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6466.9%
Simplified66.9%
Taylor expanded in x around inf
Simplified54.0%
if 2.8999999999999998e-13 < p Initial program 98.7%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.7%
Simplified98.7%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f6497.6%
Simplified97.6%
Final simplification42.3%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -3.75e-150) (- 0.0 (/ p_m x)) 1.0))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -3.75e-150) {
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 <= (-3.75d-150)) 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 <= -3.75e-150) {
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 <= -3.75e-150: 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 <= -3.75e-150) 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 <= -3.75e-150) 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, -3.75e-150], 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 -3.75 \cdot 10^{-150}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -3.7500000000000002e-150Initial program 56.5%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6456.5%
Simplified56.5%
Taylor expanded in x around -inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6422.7%
Simplified22.7%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6422.7%
Applied egg-rr22.7%
if -3.7500000000000002e-150 < x Initial program 100.0%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/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
Simplified57.2%
Final simplification40.9%
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 79.4%
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6479.4%
Simplified79.4%
Taylor expanded in x around inf
Simplified36.1%
(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 2024160
(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))))))))