
(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 9 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 (/ (- (sqrt (/ 1.0 x))) (fma (sqrt x) (- (sqrt (+ 1.0 x))) (- -1.0 x))))
double code(double x) {
return -sqrt((1.0 / x)) / fma(sqrt(x), -sqrt((1.0 + x)), (-1.0 - x));
}
function code(x) return Float64(Float64(-sqrt(Float64(1.0 / x))) / fma(sqrt(x), Float64(-sqrt(Float64(1.0 + x))), Float64(-1.0 - x))) end
code[x_] := N[((-N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]) / N[(N[Sqrt[x], $MachinePrecision] * (-N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]) + N[(-1.0 - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-\sqrt{\frac{1}{x}}}{\mathsf{fma}\left(\sqrt{x}, -\sqrt{1 + x}, -1 - x\right)}
\end{array}
Initial program 40.2%
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-*r/N/A
Applied rewrites42.8%
Taylor expanded in x around 0
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
lower-+.f64N/A
lower-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-*.f6499.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.4
Applied rewrites99.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lower-fma.f6499.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.4
lift-*.f64N/A
lift-neg.f64N/A
distribute-rgt-neg-outN/A
pow2N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-+.f64N/A
+-commutativeN/A
pow-powN/A
metadata-evalN/A
unpow1N/A
lower-neg.f64N/A
Applied rewrites99.7%
Final simplification99.7%
(FPCore (x) :precision binary64 (/ (/ (- (/ 0.125 x) 0.5) x) (- (sqrt (+ 1.0 x)))))
double code(double x) {
return (((0.125 / x) - 0.5) / x) / -sqrt((1.0 + x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((0.125d0 / x) - 0.5d0) / x) / -sqrt((1.0d0 + x))
end function
public static double code(double x) {
return (((0.125 / x) - 0.5) / x) / -Math.sqrt((1.0 + x));
}
def code(x): return (((0.125 / x) - 0.5) / x) / -math.sqrt((1.0 + x))
function code(x) return Float64(Float64(Float64(Float64(0.125 / x) - 0.5) / x) / Float64(-sqrt(Float64(1.0 + x)))) end
function tmp = code(x) tmp = (((0.125 / x) - 0.5) / x) / -sqrt((1.0 + x)); end
code[x_] := N[(N[(N[(N[(0.125 / x), $MachinePrecision] - 0.5), $MachinePrecision] / x), $MachinePrecision] / (-N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\frac{0.125}{x} - 0.5}{x}}{-\sqrt{1 + x}}
\end{array}
Initial program 40.2%
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-*r/N/A
Applied rewrites42.8%
Taylor expanded in x around 0
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites99.2%
Taylor expanded in x around inf
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower--.f64N/A
lower-/.f6498.7
Applied rewrites98.7%
(FPCore (x) :precision binary64 (/ (- (sqrt (/ 1.0 x))) (fma -2.0 x -1.5)))
double code(double x) {
return -sqrt((1.0 / x)) / fma(-2.0, x, -1.5);
}
function code(x) return Float64(Float64(-sqrt(Float64(1.0 / x))) / fma(-2.0, x, -1.5)) end
code[x_] := N[((-N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]) / N[(-2.0 * x + -1.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-\sqrt{\frac{1}{x}}}{\mathsf{fma}\left(-2, x, -1.5\right)}
\end{array}
Initial program 40.2%
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-*r/N/A
Applied rewrites42.8%
Taylor expanded in x around 0
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
lift-*.f64N/A
*-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
distribute-rgt-inN/A
lower-+.f64N/A
lower-*.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-*.f6499.4
lift-+.f64N/A
+-commutativeN/A
lower-+.f6499.4
Applied rewrites99.4%
Taylor expanded in x around inf
distribute-lft-inN/A
distribute-rgt-inN/A
metadata-evalN/A
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
associate-*l*N/A
unpow2N/A
rem-square-sqrtN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
*-commutativeN/A
*-commutativeN/A
associate-*r*N/A
rgt-mult-inverseN/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites98.7%
(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) / Float64(-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 40.2%
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-*r/N/A
Applied rewrites42.8%
Taylor expanded in x around 0
mul-1-negN/A
lower-neg.f64N/A
lower-sqrt.f64N/A
lower-/.f6499.4
Applied rewrites99.4%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites99.2%
Taylor expanded in x around inf
lower-/.f6497.5
Applied rewrites97.5%
(FPCore (x) :precision binary64 (/ (* 0.5 (sqrt (/ 1.0 x))) x))
double code(double x) {
return (0.5 * sqrt((1.0 / x))) / x;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 * sqrt((1.0d0 / x))) / x
end function
public static double code(double x) {
return (0.5 * Math.sqrt((1.0 / x))) / x;
}
def code(x): return (0.5 * math.sqrt((1.0 / x))) / x
function code(x) return Float64(Float64(0.5 * sqrt(Float64(1.0 / x))) / x) end
function tmp = code(x) tmp = (0.5 * sqrt((1.0 / x))) / x; end
code[x_] := N[(N[(0.5 * N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5 \cdot \sqrt{\frac{1}{x}}}{x}
\end{array}
Initial program 40.2%
Taylor expanded in x around inf
Applied rewrites84.1%
Taylor expanded in x around -inf
Applied rewrites97.2%
Taylor expanded in x around inf
Applied rewrites97.3%
Final simplification97.3%
(FPCore (x) :precision binary64 (let* ((t_0 (+ (sqrt x) x))) (if (<= x 4.6e+153) (/ 1.0 t_0) (/ (- (+ 1.0 x) x) t_0))))
double code(double x) {
double t_0 = sqrt(x) + x;
double tmp;
if (x <= 4.6e+153) {
tmp = 1.0 / t_0;
} else {
tmp = ((1.0 + x) - x) / t_0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(x) + x
if (x <= 4.6d+153) then
tmp = 1.0d0 / t_0
else
tmp = ((1.0d0 + x) - x) / t_0
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.sqrt(x) + x;
double tmp;
if (x <= 4.6e+153) {
tmp = 1.0 / t_0;
} else {
tmp = ((1.0 + x) - x) / t_0;
}
return tmp;
}
def code(x): t_0 = math.sqrt(x) + x tmp = 0 if x <= 4.6e+153: tmp = 1.0 / t_0 else: tmp = ((1.0 + x) - x) / t_0 return tmp
function code(x) t_0 = Float64(sqrt(x) + x) tmp = 0.0 if (x <= 4.6e+153) tmp = Float64(1.0 / t_0); else tmp = Float64(Float64(Float64(1.0 + x) - x) / t_0); end return tmp end
function tmp_2 = code(x) t_0 = sqrt(x) + x; tmp = 0.0; if (x <= 4.6e+153) tmp = 1.0 / t_0; else tmp = ((1.0 + x) - x) / t_0; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(N[Sqrt[x], $MachinePrecision] + x), $MachinePrecision]}, If[LessEqual[x, 4.6e+153], N[(1.0 / t$95$0), $MachinePrecision], N[(N[(N[(1.0 + x), $MachinePrecision] - x), $MachinePrecision] / t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{x} + x\\
\mathbf{if}\;x \leq 4.6 \cdot 10^{+153}:\\
\;\;\;\;\frac{1}{t\_0}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(1 + x\right) - x}{t\_0}\\
\end{array}
\end{array}
if x < 4.6000000000000003e153Initial program 10.9%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
clear-numN/A
frac-subN/A
/-rgt-identityN/A
*-lft-identityN/A
metadata-evalN/A
div-invN/A
flip--N/A
*-rgt-identityN/A
metadata-evalN/A
div-invN/A
/-rgt-identityN/A
associate-/l/N/A
Applied rewrites16.1%
Taylor expanded in x around 0
Applied rewrites99.4%
Taylor expanded in x around 0
distribute-lft-inN/A
*-rgt-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f648.6
Applied rewrites8.6%
if 4.6000000000000003e153 < x Initial program 70.4%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
clear-numN/A
frac-subN/A
/-rgt-identityN/A
*-lft-identityN/A
metadata-evalN/A
div-invN/A
flip--N/A
*-rgt-identityN/A
metadata-evalN/A
div-invN/A
/-rgt-identityN/A
associate-/l/N/A
Applied rewrites70.4%
Taylor expanded in x around 0
distribute-lft-inN/A
*-rgt-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f6470.4
Applied rewrites70.4%
Final simplification39.0%
(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 40.2%
Taylor expanded in x around inf
Applied rewrites84.1%
Taylor expanded in x around inf
Applied rewrites82.8%
(FPCore (x) :precision binary64 (/ 1.0 (+ (sqrt x) x)))
double code(double x) {
return 1.0 / (sqrt(x) + x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / (sqrt(x) + x)
end function
public static double code(double x) {
return 1.0 / (Math.sqrt(x) + x);
}
def code(x): return 1.0 / (math.sqrt(x) + x)
function code(x) return Float64(1.0 / Float64(sqrt(x) + x)) end
function tmp = code(x) tmp = 1.0 / (sqrt(x) + x); end
code[x_] := N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{x} + x}
\end{array}
Initial program 40.2%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
clear-numN/A
frac-subN/A
/-rgt-identityN/A
*-lft-identityN/A
metadata-evalN/A
div-invN/A
flip--N/A
*-rgt-identityN/A
metadata-evalN/A
div-invN/A
/-rgt-identityN/A
associate-/l/N/A
Applied rewrites42.8%
Taylor expanded in x around 0
Applied rewrites98.6%
Taylor expanded in x around 0
distribute-lft-inN/A
*-rgt-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f648.0
Applied rewrites8.0%
(FPCore (x) :precision binary64 (sqrt (/ 1.0 x)))
double code(double x) {
return sqrt((1.0 / x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = sqrt((1.0d0 / x))
end function
public static double code(double x) {
return Math.sqrt((1.0 / x));
}
def code(x): return math.sqrt((1.0 / x))
function code(x) return sqrt(Float64(1.0 / x)) end
function tmp = code(x) tmp = sqrt((1.0 / x)); end
code[x_] := N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{x}}
\end{array}
Initial program 40.2%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.7
Applied rewrites5.7%
(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 2024254
(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)))))