
(FPCore (x) :precision binary64 (- (/ 1.0 (sqrt x)) (/ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
return (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 / sqrt(x)) - (1.0d0 / sqrt((x + 1.0d0)))
end function
public static double code(double x) {
return (1.0 / Math.sqrt(x)) - (1.0 / Math.sqrt((x + 1.0)));
}
def code(x): return (1.0 / math.sqrt(x)) - (1.0 / math.sqrt((x + 1.0)))
function code(x) return Float64(Float64(1.0 / sqrt(x)) - Float64(1.0 / sqrt(Float64(x + 1.0)))) end
function tmp = code(x) tmp = (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0))); end
code[x_] := N[(N[(1.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(1.0 / N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 8 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (- (/ 1.0 (sqrt x)) (/ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
return (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 / sqrt(x)) - (1.0d0 / sqrt((x + 1.0d0)))
end function
public static double code(double x) {
return (1.0 / Math.sqrt(x)) - (1.0 / Math.sqrt((x + 1.0)));
}
def code(x): return (1.0 / math.sqrt(x)) - (1.0 / math.sqrt((x + 1.0)))
function code(x) return Float64(Float64(1.0 / sqrt(x)) - Float64(1.0 / sqrt(Float64(x + 1.0)))) end
function tmp = code(x) tmp = (1.0 / sqrt(x)) - (1.0 / sqrt((x + 1.0))); end
code[x_] := N[(N[(1.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] - N[(1.0 / N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{x}} - \frac{1}{\sqrt{x + 1}}
\end{array}
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ x 1.0)))) (/ (pow t_0 -1.0) (fma (sqrt x) t_0 x))))
double code(double x) {
double t_0 = sqrt((x + 1.0));
return pow(t_0, -1.0) / fma(sqrt(x), t_0, x);
}
function code(x) t_0 = sqrt(Float64(x + 1.0)) return Float64((t_0 ^ -1.0) / fma(sqrt(x), t_0, x)) end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, N[(N[Power[t$95$0, -1.0], $MachinePrecision] / N[(N[Sqrt[x], $MachinePrecision] * t$95$0 + x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{x + 1}\\
\frac{{t\_0}^{-1}}{\mathsf{fma}\left(\sqrt{x}, t\_0, x\right)}
\end{array}
\end{array}
Initial program 41.7%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
*-lft-identityN/A
flip--N/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
Applied rewrites43.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.2
Applied rewrites99.2%
lift-*.f64N/A
lift-+.f64N/A
lift--.f64N/A
+-inversesN/A
metadata-evalN/A
*-lft-identity99.2
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
remove-double-negN/A
distribute-rgt-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lower-neg.f64N/A
lift-*.f64N/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ (pow (sqrt (+ x 1.0)) -1.0) (fma 2.0 x 0.5)))
double code(double x) {
return pow(sqrt((x + 1.0)), -1.0) / fma(2.0, x, 0.5);
}
function code(x) return Float64((sqrt(Float64(x + 1.0)) ^ -1.0) / fma(2.0, x, 0.5)) end
code[x_] := N[(N[Power[N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision], -1.0], $MachinePrecision] / N[(2.0 * x + 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{x + 1}\right)}^{-1}}{\mathsf{fma}\left(2, x, 0.5\right)}
\end{array}
Initial program 41.7%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
*-lft-identityN/A
flip--N/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
Applied rewrites43.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.2
Applied rewrites99.2%
lift-*.f64N/A
lift-+.f64N/A
lift--.f64N/A
+-inversesN/A
metadata-evalN/A
*-lft-identity99.2
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
remove-double-negN/A
distribute-rgt-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lower-neg.f64N/A
lift-*.f64N/A
Applied rewrites99.5%
Taylor expanded in x around inf
distribute-lft-inN/A
*-commutativeN/A
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
*-commutativeN/A
associate-*r*N/A
rgt-mult-inverseN/A
metadata-evalN/A
lower-fma.f64N/A
unpow2N/A
rem-square-sqrtN/A
metadata-eval98.1
Applied rewrites98.1%
Final simplification98.1%
(FPCore (x) :precision binary64 (/ (pow (sqrt (+ x 1.0)) -1.0) (* 2.0 x)))
double code(double x) {
return pow(sqrt((x + 1.0)), -1.0) / (2.0 * x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (sqrt((x + 1.0d0)) ** (-1.0d0)) / (2.0d0 * x)
end function
public static double code(double x) {
return Math.pow(Math.sqrt((x + 1.0)), -1.0) / (2.0 * x);
}
def code(x): return math.pow(math.sqrt((x + 1.0)), -1.0) / (2.0 * x)
function code(x) return Float64((sqrt(Float64(x + 1.0)) ^ -1.0) / Float64(2.0 * x)) end
function tmp = code(x) tmp = (sqrt((x + 1.0)) ^ -1.0) / (2.0 * x); end
code[x_] := N[(N[Power[N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision], -1.0], $MachinePrecision] / N[(2.0 * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{x + 1}\right)}^{-1}}{2 \cdot x}
\end{array}
Initial program 41.7%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
div-invN/A
*-lft-identityN/A
flip--N/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
Applied rewrites43.0%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.2
Applied rewrites99.2%
lift-*.f64N/A
lift-+.f64N/A
lift--.f64N/A
+-inversesN/A
metadata-evalN/A
*-lft-identity99.2
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
remove-double-negN/A
distribute-rgt-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lower-neg.f64N/A
lift-*.f64N/A
Applied rewrites99.5%
Taylor expanded in x around inf
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
rem-square-sqrtN/A
metadata-eval96.7
Applied rewrites96.7%
Final simplification96.7%
(FPCore (x) :precision binary64 (sqrt (pow x -1.0)))
double code(double x) {
return sqrt(pow(x, -1.0));
}
real(8) function code(x)
real(8), intent (in) :: x
code = sqrt((x ** (-1.0d0)))
end function
public static double code(double x) {
return Math.sqrt(Math.pow(x, -1.0));
}
def code(x): return math.sqrt(math.pow(x, -1.0))
function code(x) return sqrt((x ^ -1.0)) end
function tmp = code(x) tmp = sqrt((x ^ -1.0)); end
code[x_] := N[Sqrt[N[Power[x, -1.0], $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{{x}^{-1}}
\end{array}
Initial program 41.7%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.7
Applied rewrites5.7%
Final simplification5.7%
(FPCore (x) :precision binary64 (/ -1.0 (* (fma (sqrt (+ 1.0 x)) (- (sqrt x)) (- x)) (sqrt (+ x 1.0)))))
double code(double x) {
return -1.0 / (fma(sqrt((1.0 + x)), -sqrt(x), -x) * sqrt((x + 1.0)));
}
function code(x) return Float64(-1.0 / Float64(fma(sqrt(Float64(1.0 + x)), Float64(-sqrt(x)), Float64(-x)) * sqrt(Float64(x + 1.0)))) end
code[x_] := N[(-1.0 / N[(N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] * (-N[Sqrt[x], $MachinePrecision]) + (-x)), $MachinePrecision] * N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-1}{\mathsf{fma}\left(\sqrt{1 + x}, -\sqrt{x}, -x\right) \cdot \sqrt{x + 1}}
\end{array}
Initial program 41.7%
lift-/.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
flip-+N/A
sqrt-divN/A
associate-/r/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower--.f648.6
Applied rewrites8.6%
Applied rewrites43.0%
lift-*.f64N/A
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate-+r-N/A
+-inversesN/A
metadata-evalN/A
metadata-eval98.5
Applied rewrites98.5%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-neg.f6498.8
Applied rewrites98.8%
(FPCore (x) :precision binary64 (/ (/ 0.5 x) (sqrt x)))
double code(double x) {
return (0.5 / x) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 / x) / sqrt(x)
end function
public static double code(double x) {
return (0.5 / x) / Math.sqrt(x);
}
def code(x): return (0.5 / x) / math.sqrt(x)
function code(x) return Float64(Float64(0.5 / x) / sqrt(x)) end
function tmp = code(x) tmp = (0.5 / x) / sqrt(x); end
code[x_] := N[(N[(0.5 / x), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{x}}{\sqrt{x}}
\end{array}
Initial program 41.7%
lift--.f64N/A
lift-/.f64N/A
clear-numN/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
*-rgt-identityN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites41.7%
Taylor expanded in x around inf
lower-/.f6496.6
Applied rewrites96.6%
(FPCore (x) :precision binary64 (/ (* 0.5 (sqrt x)) (* x x)))
double code(double x) {
return (0.5 * sqrt(x)) / (x * x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 * sqrt(x)) / (x * x)
end function
public static double code(double x) {
return (0.5 * Math.sqrt(x)) / (x * x);
}
def code(x): return (0.5 * math.sqrt(x)) / (x * x)
function code(x) return Float64(Float64(0.5 * sqrt(x)) / Float64(x * x)) end
function tmp = code(x) tmp = (0.5 * sqrt(x)) / (x * x); end
code[x_] := N[(N[(0.5 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5 \cdot \sqrt{x}}{x \cdot x}
\end{array}
Initial program 41.7%
Taylor expanded in x around inf
Applied rewrites85.4%
Taylor expanded in x around inf
Applied rewrites84.1%
(FPCore (x) :precision binary64 (sqrt (/ x (* x x))))
double code(double x) {
return sqrt((x / (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = sqrt((x / (x * x)))
end function
public static double code(double x) {
return Math.sqrt((x / (x * x)));
}
def code(x): return math.sqrt((x / (x * x)))
function code(x) return sqrt(Float64(x / Float64(x * x))) end
function tmp = code(x) tmp = sqrt((x / (x * x))); end
code[x_] := N[Sqrt[N[(x / N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{x}{x \cdot x}}
\end{array}
Initial program 41.7%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.7
Applied rewrites5.7%
Applied rewrites39.1%
(FPCore (x) :precision binary64 (- (pow x -0.5) (pow (+ x 1.0) -0.5)))
double code(double x) {
return pow(x, -0.5) - pow((x + 1.0), -0.5);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x ** (-0.5d0)) - ((x + 1.0d0) ** (-0.5d0))
end function
public static double code(double x) {
return Math.pow(x, -0.5) - Math.pow((x + 1.0), -0.5);
}
def code(x): return math.pow(x, -0.5) - math.pow((x + 1.0), -0.5)
function code(x) return Float64((x ^ -0.5) - (Float64(x + 1.0) ^ -0.5)) end
function tmp = code(x) tmp = (x ^ -0.5) - ((x + 1.0) ^ -0.5); end
code[x_] := N[(N[Power[x, -0.5], $MachinePrecision] - N[Power[N[(x + 1.0), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{x}^{-0.5} - {\left(x + 1\right)}^{-0.5}
\end{array}
herbie shell --seed 2024313
(FPCore (x)
:name "2isqrt (example 3.6)"
:precision binary64
:pre (and (> x 1.0) (< x 1e+308))
:alt
(! :herbie-platform default (- (pow x -1/2) (pow (+ x 1) -1/2)))
(- (/ 1.0 (sqrt x)) (/ 1.0 (sqrt (+ x 1.0)))))