
(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 (if (<= x 1e+16) (/ (- (+ 1.0 x) x) (fma (+ 1.0 x) (sqrt x) (* (sqrt (+ 1.0 x)) x))) (/ (- (sqrt (/ 1.0 x))) (* -2.0 x))))
double code(double x) {
double tmp;
if (x <= 1e+16) {
tmp = ((1.0 + x) - x) / fma((1.0 + x), sqrt(x), (sqrt((1.0 + x)) * x));
} else {
tmp = -sqrt((1.0 / x)) / (-2.0 * x);
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= 1e+16) tmp = Float64(Float64(Float64(1.0 + x) - x) / fma(Float64(1.0 + x), sqrt(x), Float64(sqrt(Float64(1.0 + x)) * x))); else tmp = Float64(Float64(-sqrt(Float64(1.0 / x))) / Float64(-2.0 * x)); end return tmp end
code[x_] := If[LessEqual[x, 1e+16], N[(N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision] / N[(N[(1.0 + x), $MachinePrecision] * N[Sqrt[x], $MachinePrecision] + N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[((-N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]) / N[(-2.0 * x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 10^{+16}:\\
\;\;\;\;\frac{\left(1 + x\right) - x}{\mathsf{fma}\left(1 + x, \sqrt{x}, \sqrt{1 + x} \cdot x\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{-\sqrt{\frac{1}{x}}}{-2 \cdot x}\\
\end{array}
\end{array}
if x < 1e16Initial program 64.4%
lift--.f64N/A
lift-/.f64N/A
clear-numN/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
*-rgt-identityN/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites65.2%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift--.f64N/A
flip--N/A
+-commutativeN/A
lift-+.f64N/A
associate-/l/N/A
Applied rewrites99.0%
lift-*.f64N/A
lift-+.f64N/A
distribute-rgt-inN/A
lift-sqrt.f64N/A
lift-*.f64N/A
sqrt-prodN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
associate-*r*N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-fma.f64N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
*-commutativeN/A
Applied rewrites99.3%
if 1e16 < x Initial program 35.5%
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 rewrites35.5%
Taylor expanded in x around 0
Applied rewrites99.2%
Taylor expanded in x around inf
lower-*.f6499.7
Applied rewrites99.7%
Taylor expanded in x around inf
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f6499.7
Applied rewrites99.7%
Final simplification99.7%
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ 1.0 x)))) (/ (/ (- 1.0) t_0) (fma t_0 (- (sqrt x)) (- x)))))
double code(double x) {
double t_0 = sqrt((1.0 + x));
return (-1.0 / t_0) / fma(t_0, -sqrt(x), -x);
}
function code(x) t_0 = sqrt(Float64(1.0 + x)) return Float64(Float64(Float64(-1.0) / t_0) / fma(t_0, Float64(-sqrt(x)), Float64(-x))) end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, N[(N[((-1.0) / t$95$0), $MachinePrecision] / N[(t$95$0 * (-N[Sqrt[x], $MachinePrecision]) + (-x)), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 + x}\\
\frac{\frac{-1}{t\_0}}{\mathsf{fma}\left(t\_0, -\sqrt{x}, -x\right)}
\end{array}
\end{array}
Initial program 37.8%
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 rewrites40.4%
Taylor expanded in x around 0
Applied rewrites99.2%
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
*-commutativeN/A
lift-+.f64N/A
distribute-rgt-outN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lift-*.f64N/A
lift-sqrt.f64N/A
distribute-neg-inN/A
+-commutativeN/A
Applied rewrites99.6%
lift-*.f64N/A
lift-/.f64N/A
frac-2negN/A
metadata-evalN/A
un-div-invN/A
lower-/.f64N/A
lower-neg.f6499.6
lift-+.f64N/A
+-commutativeN/A
lift-+.f6499.6
Applied rewrites99.6%
Final simplification99.6%
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ 1.0 x)))) (/ (- -1.0) (* (fma t_0 (sqrt x) x) t_0))))
double code(double x) {
double t_0 = sqrt((1.0 + x));
return -(-1.0) / (fma(t_0, sqrt(x), x) * t_0);
}
function code(x) t_0 = sqrt(Float64(1.0 + x)) return Float64(Float64(-(-1.0)) / Float64(fma(t_0, sqrt(x), x) * t_0)) end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, N[((--1.0) / N[(N[(t$95$0 * N[Sqrt[x], $MachinePrecision] + x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 + x}\\
\frac{--1}{\mathsf{fma}\left(t\_0, \sqrt{x}, x\right) \cdot t\_0}
\end{array}
\end{array}
Initial program 37.8%
lift--.f64N/A
lift-/.f64N/A
clear-numN/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
*-rgt-identityN/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites37.8%
Applied rewrites40.5%
Taylor expanded in x around 0
Applied rewrites98.7%
Final simplification98.7%
(FPCore (x) :precision binary64 (/ (* (/ -1.0 (sqrt (+ 1.0 x))) 1.0) (fma -2.0 x -0.5)))
double code(double x) {
return ((-1.0 / sqrt((1.0 + x))) * 1.0) / fma(-2.0, x, -0.5);
}
function code(x) return Float64(Float64(Float64(-1.0 / sqrt(Float64(1.0 + x))) * 1.0) / fma(-2.0, x, -0.5)) end
code[x_] := N[(N[(N[(-1.0 / N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision] / N[(-2.0 * x + -0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{-1}{\sqrt{1 + x}} \cdot 1}{\mathsf{fma}\left(-2, x, -0.5\right)}
\end{array}
Initial program 37.8%
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 rewrites40.4%
Taylor expanded in x around 0
Applied rewrites99.2%
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
*-commutativeN/A
lift-+.f64N/A
distribute-rgt-outN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
sqrt-prodN/A
lift-*.f64N/A
lift-sqrt.f64N/A
distribute-neg-inN/A
+-commutativeN/A
Applied rewrites99.6%
Taylor expanded in x around inf
distribute-rgt-inN/A
distribute-rgt-inN/A
associate-*l*N/A
lft-mult-inverseN/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
lower-fma.f6497.9
Applied rewrites97.9%
Final simplification97.9%
(FPCore (x) :precision binary64 (/ (/ 0.5 x) (sqrt (+ 1.0 x))))
double code(double x) {
return (0.5 / x) / sqrt((1.0 + x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 / x) / sqrt((1.0d0 + x))
end function
public static double code(double x) {
return (0.5 / x) / Math.sqrt((1.0 + x));
}
def code(x): return (0.5 / x) / math.sqrt((1.0 + x))
function code(x) return Float64(Float64(0.5 / x) / sqrt(Float64(1.0 + x))) end
function tmp = code(x) tmp = (0.5 / x) / sqrt((1.0 + x)); end
code[x_] := N[(N[(0.5 / x), $MachinePrecision] / N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{x}}{\sqrt{1 + x}}
\end{array}
Initial program 37.8%
lift--.f64N/A
lift-/.f64N/A
clear-numN/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
*-rgt-identityN/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites37.8%
Taylor expanded in x around inf
lower-/.f6496.4
Applied rewrites96.4%
Final simplification96.4%
(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 37.8%
Taylor expanded in x around inf
Applied rewrites82.2%
Taylor expanded in x around inf
Applied rewrites80.7%
(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 37.8%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.8
Applied rewrites5.8%
Applied rewrites34.3%
(FPCore (x) :precision binary64 (/ -1.0 (* -2.0 x)))
double code(double x) {
return -1.0 / (-2.0 * x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (-1.0d0) / ((-2.0d0) * x)
end function
public static double code(double x) {
return -1.0 / (-2.0 * x);
}
def code(x): return -1.0 / (-2.0 * x)
function code(x) return Float64(-1.0 / Float64(-2.0 * x)) end
function tmp = code(x) tmp = -1.0 / (-2.0 * x); end
code[x_] := N[(-1.0 / N[(-2.0 * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-1}{-2 \cdot x}
\end{array}
Initial program 37.8%
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 rewrites40.4%
Taylor expanded in x around 0
Applied rewrites99.2%
Taylor expanded in x around inf
lower-*.f6496.4
Applied rewrites96.4%
Taylor expanded in x around 0
Applied rewrites7.9%
(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 2024268
(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)))))