
(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) (- 0.0 (/ 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 <= -0.5) {
tmp = 0.0 - (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 <= (-0.5d0)) then
tmp = 0.0d0 - (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 <= -0.5) {
tmp = 0.0 - (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 <= -0.5: tmp = 0.0 - (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 <= -0.5) tmp = Float64(0.0 - Float64(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 <= -0.5) tmp = 0.0 - (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, -0.5], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $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:\\
\;\;\;\;0 - \frac{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)))) < -0.5Initial program 12.7%
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-*.f6412.7%
Simplified12.7%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified42.3%
Taylor expanded in p around 0
Simplified62.6%
sub0-negN/A
neg-lowering-neg.f6462.6%
Applied egg-rr62.6%
if -0.5 < (/.f64 x (sqrt.f64 (+.f64 (*.f64 (*.f64 #s(literal 4 binary64) p) p) (*.f64 x x)))) Initial program 100.0%
Final simplification90.5%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= x -1.55e-86)
(- 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 <= -1.55e-86) {
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 <= (-1.55d-86)) 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 <= -1.55e-86) {
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 <= -1.55e-86: 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 <= -1.55e-86) 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(p_m * p_m) * -2.0) / Float64(x * Float64(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 <= -1.55e-86) 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, -1.55e-86], 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[(p$95$m * p$95$m), $MachinePrecision] * -2.0), $MachinePrecision] / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $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 -1.55 \cdot 10^{-86}:\\
\;\;\;\;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{\left(p\_m \cdot p\_m\right) \cdot -2}{x \cdot \left(x \cdot x\right)} + \frac{2}{x}\right)}}\\
\end{array}
\end{array}
if x < -1.54999999999999994e-86Initial program 50.3%
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-*.f6450.3%
Simplified50.3%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified30.8%
Taylor expanded in p around 0
Simplified39.3%
sub0-negN/A
neg-lowering-neg.f6439.3%
Applied egg-rr39.3%
if -1.54999999999999994e-86 < x Initial program 93.0%
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-*.f6493.0%
Simplified93.0%
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-/.f6484.4%
Simplified84.4%
Final simplification68.3%
p_m = (fabs.f64 p)
(FPCore (p_m x)
:precision binary64
(if (<= p_m 2.9e-114)
(- 0.0 (/ p_m x))
(if (<= p_m 2.95e-34)
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 <= 2.9e-114) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.95e-34) {
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 <= 2.9d-114) then
tmp = 0.0d0 - (p_m / x)
else if (p_m <= 2.95d-34) 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 <= 2.9e-114) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 2.95e-34) {
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 <= 2.9e-114: tmp = 0.0 - (p_m / x) elif p_m <= 2.95e-34: 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 <= 2.9e-114) tmp = Float64(0.0 - Float64(p_m / x)); elseif (p_m <= 2.95e-34) 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 <= 2.9e-114) tmp = 0.0 - (p_m / x); elseif (p_m <= 2.95e-34) 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, 2.9e-114], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[p$95$m, 2.95e-34], 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 2.9 \cdot 10^{-114}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{elif}\;p\_m \leq 2.95 \cdot 10^{-34}:\\
\;\;\;\;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 < 2.89999999999999997e-114Initial program 72.4%
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-*.f6472.4%
Simplified72.4%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified11.7%
Taylor expanded in p around 0
Simplified20.1%
sub0-negN/A
neg-lowering-neg.f6420.1%
Applied egg-rr20.1%
if 2.89999999999999997e-114 < p < 2.9500000000000001e-34Initial program 72.7%
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-*.f6472.7%
Simplified72.7%
Taylor expanded in x around inf
Simplified57.9%
if 2.9500000000000001e-34 < p Initial program 91.9%
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-*.f6491.9%
Simplified91.9%
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-/.f6481.7%
Simplified81.7%
Final simplification40.3%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= p_m 4.4e-114) (- 0.0 (/ p_m x)) (if (<= p_m 1.05e-28) 1.0 (sqrt 0.5))))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (p_m <= 4.4e-114) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 1.05e-28) {
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 <= 4.4d-114) then
tmp = 0.0d0 - (p_m / x)
else if (p_m <= 1.05d-28) 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 <= 4.4e-114) {
tmp = 0.0 - (p_m / x);
} else if (p_m <= 1.05e-28) {
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 <= 4.4e-114: tmp = 0.0 - (p_m / x) elif p_m <= 1.05e-28: 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 <= 4.4e-114) tmp = Float64(0.0 - Float64(p_m / x)); elseif (p_m <= 1.05e-28) 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 <= 4.4e-114) tmp = 0.0 - (p_m / x); elseif (p_m <= 1.05e-28) 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, 4.4e-114], N[(0.0 - N[(p$95$m / x), $MachinePrecision]), $MachinePrecision], If[LessEqual[p$95$m, 1.05e-28], 1.0, N[Sqrt[0.5], $MachinePrecision]]]
\begin{array}{l}
p_m = \left|p\right|
\\
\begin{array}{l}
\mathbf{if}\;p\_m \leq 4.4 \cdot 10^{-114}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{elif}\;p\_m \leq 1.05 \cdot 10^{-28}:\\
\;\;\;\;1\\
\mathbf{else}:\\
\;\;\;\;\sqrt{0.5}\\
\end{array}
\end{array}
if p < 4.40000000000000022e-114Initial program 72.4%
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-*.f6472.4%
Simplified72.4%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified11.7%
Taylor expanded in p around 0
Simplified20.1%
sub0-negN/A
neg-lowering-neg.f6420.1%
Applied egg-rr20.1%
if 4.40000000000000022e-114 < p < 1.05000000000000003e-28Initial program 72.7%
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-*.f6472.7%
Simplified72.7%
Taylor expanded in x around inf
Simplified57.9%
if 1.05000000000000003e-28 < p Initial program 91.9%
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-*.f6491.9%
Simplified91.9%
Taylor expanded in x around 0
sqrt-lowering-sqrt.f6481.0%
Simplified81.0%
Final simplification40.1%
p_m = (fabs.f64 p) (FPCore (p_m x) :precision binary64 (if (<= x -5.2e-143) (- 0.0 (/ p_m x)) 1.0))
p_m = fabs(p);
double code(double p_m, double x) {
double tmp;
if (x <= -5.2e-143) {
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 <= (-5.2d-143)) 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 <= -5.2e-143) {
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 <= -5.2e-143: 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 <= -5.2e-143) 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 <= -5.2e-143) 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, -5.2e-143], 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 -5.2 \cdot 10^{-143}:\\
\;\;\;\;0 - \frac{p\_m}{x}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -5.19999999999999974e-143Initial program 53.9%
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-*.f6453.9%
Simplified53.9%
Taylor expanded in x around -inf
mul-1-negN/A
distribute-neg-frac2N/A
mul-1-negN/A
/-lowering-/.f64N/A
Simplified23.1%
Taylor expanded in p around 0
Simplified34.7%
sub0-negN/A
neg-lowering-neg.f6434.7%
Applied egg-rr34.7%
if -5.19999999999999974e-143 < 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
Simplified62.1%
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 77.8%
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-*.f6477.8%
Simplified77.8%
Taylor expanded in x around inf
Simplified38.2%
(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 2024155
(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))))))))