
(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 -0.99)
(/ (- (* (/ p_m x) (/ (* p_m (* p_m 1.5)) x)) p_m) 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 <= -0.99) {
tmp = (((p_m / x) * ((p_m * (p_m * 1.5)) / x)) - p_m) / 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 <= (-0.99d0)) then
tmp = (((p_m / x) * ((p_m * (p_m * 1.5d0)) / x)) - p_m) / 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 <= -0.99) {
tmp = (((p_m / x) * ((p_m * (p_m * 1.5)) / x)) - p_m) / 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 <= -0.99: tmp = (((p_m / x) * ((p_m * (p_m * 1.5)) / x)) - p_m) / 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 <= -0.99) tmp = Float64(Float64(Float64(Float64(p_m / x) * Float64(Float64(p_m * Float64(p_m * 1.5)) / x)) - p_m) / 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 <= -0.99) tmp = (((p_m / x) * ((p_m * (p_m * 1.5)) / x)) - p_m) / 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, -0.99], N[(N[(N[(N[(p$95$m / x), $MachinePrecision] * N[(N[(p$95$m * N[(p$95$m * 1.5), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] - p$95$m), $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 -0.99:\\
\;\;\;\;\frac{\frac{p\_m}{x} \cdot \frac{p\_m \cdot \left(p\_m \cdot 1.5\right)}{x} - p\_m}{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)))) < -0.98999999999999999Initial program 11.9%
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-*.f6411.9%
Simplified11.9%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified46.3%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6449.3%
Simplified49.3%
associate-*l*N/A
times-fracN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6450.8%
Applied egg-rr50.8%
if -0.98999999999999999 < (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))) Initial program 100.0%
Final simplification87.5%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= x -5.6e-67)
(- 0.0 (/ p_m x))
(sqrt
(+
0.5
(/
(* x 0.5)
(+
x
(*
(* p_m p_m)
(+ (/ (/ (/ (* (* p_m p_m) -2.0) x) x) x) (/ 2.0 x)))))))))p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -5.6e-67) {
tmp = 0.0 - (p_m / x);
} else {
tmp = sqrt((0.5 + ((x * 0.5) / (x + ((p_m * p_m) * ((((((p_m * p_m) * -2.0) / x) / x) / x) + (2.0 / x)))))));
}
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 <= (-5.6d-67)) then
tmp = 0.0d0 - (p_m / x)
else
tmp = sqrt((0.5d0 + ((x * 0.5d0) / (x + ((p_m * p_m) * ((((((p_m * p_m) * (-2.0d0)) / x) / x) / x) + (2.0d0 / x)))))))
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (x <= -5.6e-67) {
tmp = 0.0 - (p_m / x);
} else {
tmp = Math.sqrt((0.5 + ((x * 0.5) / (x + ((p_m * p_m) * ((((((p_m * p_m) * -2.0) / x) / x) / x) + (2.0 / x)))))));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if x <= -5.6e-67: tmp = 0.0 - (p_m / x) else: tmp = math.sqrt((0.5 + ((x * 0.5) / (x + ((p_m * p_m) * ((((((p_m * p_m) * -2.0) / x) / x) / x) + (2.0 / x))))))) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (x <= -5.6e-67) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = sqrt(Float64(0.5 + Float64(Float64(x * 0.5) / Float64(x + Float64(Float64(p_m * p_m) * Float64(Float64(Float64(Float64(Float64(Float64(p_m * p_m) * -2.0) / x) / x) / x) + Float64(2.0 / x))))))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (x <= -5.6e-67) tmp = 0.0 - (p_m / x); else tmp = sqrt((0.5 + ((x * 0.5) / (x + ((p_m * p_m) * ((((((p_m * p_m) * -2.0) / x) / x) / x) + (2.0 / x))))))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[x, -5.6e-67], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(0.5 + N[(N[(x * 0.5), $MachinePrecision] / N[(x + N[(N[(p$95$m * p$95$m), $MachinePrecision] * N[(N[(N[(N[(N[(N[(p$95$m * p$95$m), $MachinePrecision] * -2.0), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision] + N[(2.0 / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;x \leq -5.6 \cdot 10^{-67}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 + \frac{x \cdot 0.5}{x + \left(p\_m \cdot p\_m\right) \cdot \left(\frac{\frac{\frac{\left(p\_m \cdot p\_m\right) \cdot -2}{x}}{x}}{x} + \frac{2}{x}\right)}}\\
\end{array}
\end{array}
if x < -5.60000000000000021e-67Initial program 43.6%
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-*.f6443.6%
Simplified43.6%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified30.2%
Taylor expanded in p around 0
Simplified33.7%
sub0-negN/A
neg-lowering-neg.f6433.7%
Applied egg-rr33.7%
if -5.60000000000000021e-67 < x Initial program 95.4%
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-*.f6495.4%
Simplified95.4%
Taylor expanded in p around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/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-*.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6486.8%
Simplified86.8%
associate-/r*N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6494.5%
Applied egg-rr94.5%
Final simplification73.6%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -9.4e-66) (- 0.0 (/ p_m x)) (sqrt (+ 0.5 (/ (* x 0.5) (+ x (/ (* (* p_m p_m) 2.0) x)))))))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -9.4e-66) {
tmp = 0.0 - (p_m / x);
} else {
tmp = sqrt((0.5 + ((x * 0.5) / (x + (((p_m * p_m) * 2.0) / x)))));
}
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 <= (-9.4d-66)) then
tmp = 0.0d0 - (p_m / x)
else
tmp = sqrt((0.5d0 + ((x * 0.5d0) / (x + (((p_m * p_m) * 2.0d0) / x)))))
end if
code = tmp
end function
p_m = Math.abs(p);
public static double code(double p_m, double x) {
double tmp;
if (x <= -9.4e-66) {
tmp = 0.0 - (p_m / x);
} else {
tmp = Math.sqrt((0.5 + ((x * 0.5) / (x + (((p_m * p_m) * 2.0) / x)))));
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if x <= -9.4e-66: tmp = 0.0 - (p_m / x) else: tmp = math.sqrt((0.5 + ((x * 0.5) / (x + (((p_m * p_m) * 2.0) / x))))) return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (x <= -9.4e-66) tmp = Float64(0.0 - Float64(p_m / x)); else tmp = sqrt(Float64(0.5 + Float64(Float64(x * 0.5) / Float64(x + Float64(Float64(Float64(p_m * p_m) * 2.0) / x))))); end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (x <= -9.4e-66) tmp = 0.0 - (p_m / x); else tmp = sqrt((0.5 + ((x * 0.5) / (x + (((p_m * p_m) * 2.0) / x))))); end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[x, -9.4e-66], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], N[Sqrt[N[(0.5 + N[(N[(x * 0.5), $MachinePrecision] / N[(x + N[(N[(N[(p$95$m * p$95$m), $MachinePrecision] * 2.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;x \leq -9.4 \cdot 10^{-66}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5 + \frac{x \cdot 0.5}{x + \frac{\left(p\_m \cdot p\_m\right) \cdot 2}{x}}}\\
\end{array}
\end{array}
if x < -9.3999999999999998e-66Initial program 43.6%
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-*.f6443.6%
Simplified43.6%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified30.2%
Taylor expanded in p around 0
Simplified33.7%
sub0-negN/A
neg-lowering-neg.f6433.7%
Applied egg-rr33.7%
if -9.3999999999999998e-66 < x Initial program 95.4%
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-*.f6495.4%
Simplified95.4%
Taylor expanded in p around 0
associate-*r/N/A
associate-*l/N/A
metadata-evalN/A
associate-*r/N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6494.2%
Simplified94.2%
Final simplification73.4%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -1.7e-61) (- 0.0 (/ p_m x)) (if (<= x 1e+42) (sqrt 0.5) 1.0)))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -1.7e-61) {
tmp = 0.0 - (p_m / x);
} else if (x <= 1e+42) {
tmp = sqrt(0.5);
} 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 <= (-1.7d-61)) then
tmp = 0.0d0 - (p_m / x)
else if (x <= 1d+42) then
tmp = sqrt(0.5d0)
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 <= -1.7e-61) {
tmp = 0.0 - (p_m / x);
} else if (x <= 1e+42) {
tmp = Math.sqrt(0.5);
} else {
tmp = 1.0;
}
return tmp;
}
p_m = math.fabs(p) def code(p_m, x): tmp = 0 if x <= -1.7e-61: tmp = 0.0 - (p_m / x) elif x <= 1e+42: tmp = math.sqrt(0.5) else: tmp = 1.0 return tmp
p_m = abs(p) function code(p_m, x) tmp = 0.0 if (x <= -1.7e-61) tmp = Float64(0.0 - Float64(p_m / x)); elseif (x <= 1e+42) tmp = sqrt(0.5); else tmp = 1.0; end return tmp end
p_m = abs(p); function tmp_2 = code(p_m, x) tmp = 0.0; if (x <= -1.7e-61) tmp = 0.0 - (p_m / x); elseif (x <= 1e+42) tmp = sqrt(0.5); else tmp = 1.0; end tmp_2 = tmp; end
p_m = N[Abs[p], $MachinePrecision] code[p$95$m_, x_] := If[LessEqual[x, -1.7e-61], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1e+42], N[Sqrt[0.5], $MachinePrecision], 1.0]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;x \leq -1.7 \cdot 10^{-61}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{elif}\;x \leq 10^{+42}:\\
\;\;\;\;\sqrt{0.5}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -1.6999999999999999e-61Initial program 43.6%
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-*.f6443.6%
Simplified43.6%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified30.2%
Taylor expanded in p around 0
Simplified33.7%
sub0-negN/A
neg-lowering-neg.f6433.7%
Applied egg-rr33.7%
if -1.6999999999999999e-61 < x < 1.00000000000000004e42Initial 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.f6466.5%
Simplified66.5%
if 1.00000000000000004e42 < 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
Simplified79.7%
Final simplification58.5%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -5.6e-215) (- 0.0 (/ p_m x)) 1.0))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -5.6e-215) {
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 <= (-5.6d-215)) 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 <= -5.6e-215) {
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 <= -5.6e-215: 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 <= -5.6e-215) 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 <= -5.6e-215) 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, -5.6e-215], 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 -5.6 \cdot 10^{-215}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -5.59999999999999972e-215Initial program 50.6%
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-*.f6450.6%
Simplified50.6%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified26.8%
Taylor expanded in p around 0
Simplified29.7%
sub0-negN/A
neg-lowering-neg.f6429.7%
Applied egg-rr29.7%
if -5.59999999999999972e-215 < 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
Simplified64.9%
Final simplification48.9%
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 77.6%
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-*.f6477.6%
Simplified77.6%
Taylor expanded in x around inf
Simplified40.9%
(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 2024138
(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))))))))