
(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 (let* ((t_0 (sqrt (+ 1.0 x)))) (/ (* (/ 1.0 t_0) (/ 1.0 (+ t_0 (/ x (sqrt x))))) (sqrt x))))
double code(double x) {
double t_0 = sqrt((1.0 + x));
return ((1.0 / t_0) * (1.0 / (t_0 + (x / sqrt(x))))) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = sqrt((1.0d0 + x))
code = ((1.0d0 / t_0) * (1.0d0 / (t_0 + (x / sqrt(x))))) / sqrt(x)
end function
public static double code(double x) {
double t_0 = Math.sqrt((1.0 + x));
return ((1.0 / t_0) * (1.0 / (t_0 + (x / Math.sqrt(x))))) / Math.sqrt(x);
}
def code(x): t_0 = math.sqrt((1.0 + x)) return ((1.0 / t_0) * (1.0 / (t_0 + (x / math.sqrt(x))))) / math.sqrt(x)
function code(x) t_0 = sqrt(Float64(1.0 + x)) return Float64(Float64(Float64(1.0 / t_0) * Float64(1.0 / Float64(t_0 + Float64(x / sqrt(x))))) / sqrt(x)) end
function tmp = code(x) t_0 = sqrt((1.0 + x)); tmp = ((1.0 / t_0) * (1.0 / (t_0 + (x / sqrt(x))))) / sqrt(x); end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, N[(N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(1.0 / N[(t$95$0 + N[(x / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 + x}\\
\frac{\frac{1}{t\_0} \cdot \frac{1}{t\_0 + \frac{x}{\sqrt{x}}}}{\sqrt{x}}
\end{array}
\end{array}
Initial program 37.4%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites37.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
+-commutativeN/A
lift-+.f64N/A
lift--.f64N/A
lower-/.f6438.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6438.8
Applied rewrites38.8%
Taylor expanded in x around 0
Applied rewrites99.2%
lift-sqrt.f64N/A
pow1/2N/A
metadata-evalN/A
pow-plusN/A
metadata-evalN/A
pow-flipN/A
pow1/2N/A
lift-sqrt.f64N/A
associate-/r/N/A
clear-numN/A
lift-/.f6499.4
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ 1.0 x)))) (/ (/ 1.0 (+ t_0 (sqrt x))) (* t_0 (sqrt x)))))
double code(double x) {
double t_0 = sqrt((1.0 + x));
return (1.0 / (t_0 + sqrt(x))) / (t_0 * sqrt(x));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = sqrt((1.0d0 + x))
code = (1.0d0 / (t_0 + sqrt(x))) / (t_0 * sqrt(x))
end function
public static double code(double x) {
double t_0 = Math.sqrt((1.0 + x));
return (1.0 / (t_0 + Math.sqrt(x))) / (t_0 * Math.sqrt(x));
}
def code(x): t_0 = math.sqrt((1.0 + x)) return (1.0 / (t_0 + math.sqrt(x))) / (t_0 * math.sqrt(x))
function code(x) t_0 = sqrt(Float64(1.0 + x)) return Float64(Float64(1.0 / Float64(t_0 + sqrt(x))) / Float64(t_0 * sqrt(x))) end
function tmp = code(x) t_0 = sqrt((1.0 + x)); tmp = (1.0 / (t_0 + sqrt(x))) / (t_0 * sqrt(x)); end
code[x_] := Block[{t$95$0 = N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 / N[(t$95$0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 + x}\\
\frac{\frac{1}{t\_0 + \sqrt{x}}}{t\_0 \cdot \sqrt{x}}
\end{array}
\end{array}
Initial program 37.4%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites37.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
+-commutativeN/A
lift-+.f64N/A
lift--.f64N/A
lower-/.f6438.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6438.8
Applied rewrites38.8%
Taylor expanded in x around 0
Applied rewrites99.2%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
associate-/l/N/A
lower-/.f64N/A
Applied rewrites99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (let* ((t_0 (sqrt (+ 1.0 x)))) (/ (/ 1.0 t_0) (* (+ t_0 (sqrt x)) (sqrt x)))))
double code(double x) {
double t_0 = sqrt((1.0 + x));
return (1.0 / t_0) / ((t_0 + sqrt(x)) * sqrt(x));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = sqrt((1.0d0 + x))
code = (1.0d0 / t_0) / ((t_0 + sqrt(x)) * sqrt(x))
end function
public static double code(double x) {
double t_0 = Math.sqrt((1.0 + x));
return (1.0 / t_0) / ((t_0 + Math.sqrt(x)) * Math.sqrt(x));
}
def code(x): t_0 = math.sqrt((1.0 + x)) return (1.0 / t_0) / ((t_0 + math.sqrt(x)) * math.sqrt(x))
function code(x) t_0 = sqrt(Float64(1.0 + x)) return Float64(Float64(1.0 / t_0) / Float64(Float64(t_0 + sqrt(x)) * sqrt(x))) end
function tmp = code(x) t_0 = sqrt((1.0 + x)); tmp = (1.0 / t_0) / ((t_0 + sqrt(x)) * sqrt(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[(N[(t$95$0 + N[Sqrt[x], $MachinePrecision]), $MachinePrecision] * N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{1 + x}\\
\frac{\frac{1}{t\_0}}{\left(t\_0 + \sqrt{x}\right) \cdot \sqrt{x}}
\end{array}
\end{array}
Initial program 37.4%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites37.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
+-commutativeN/A
lift-+.f64N/A
lift--.f64N/A
lower-/.f6438.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6438.8
Applied rewrites38.8%
Taylor expanded in x around 0
Applied rewrites99.2%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
lift-/.f64N/A
frac-timesN/A
lift-+.f64N/A
+-commutativeN/A
lift-sqrt.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift-neg.f64N/A
lift-sqrt.f64N/A
Applied rewrites99.2%
Final simplification99.2%
(FPCore (x) :precision binary64 (/ (/ -1.0 (sqrt (+ 1.0 x))) (fma -2.0 x -0.5)))
double code(double x) {
return (-1.0 / sqrt((1.0 + x))) / fma(-2.0, x, -0.5);
}
function code(x) return Float64(Float64(-1.0 / sqrt(Float64(1.0 + x))) / fma(-2.0, x, -0.5)) end
code[x_] := N[(N[(-1.0 / N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(-2.0 * x + -0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{-1}{\sqrt{1 + x}}}{\mathsf{fma}\left(-2, x, -0.5\right)}
\end{array}
Initial program 37.4%
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 rewrites38.8%
Taylor expanded in x around inf
distribute-lft-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-rgt-neg-inN/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
associate-*r/N/A
*-commutativeN/A
associate-*l*N/A
lft-mult-inverseN/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites37.8%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
associate-/l/N/A
lower-/.f64N/A
*-commutativeN/A
neg-mul-1N/A
lower-neg.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-*.f6437.8
Applied rewrites37.8%
lift-/.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
associate-/r*N/A
Applied rewrites98.7%
(FPCore (x) :precision binary64 (/ (/ -1.0 (fma -2.0 x -0.5)) (sqrt (+ 1.0 x))))
double code(double x) {
return (-1.0 / fma(-2.0, x, -0.5)) / sqrt((1.0 + x));
}
function code(x) return Float64(Float64(-1.0 / fma(-2.0, x, -0.5)) / sqrt(Float64(1.0 + x))) end
code[x_] := N[(N[(-1.0 / N[(-2.0 * x + -0.5), $MachinePrecision]), $MachinePrecision] / N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{-1}{\mathsf{fma}\left(-2, x, -0.5\right)}}{\sqrt{1 + x}}
\end{array}
Initial program 37.4%
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 rewrites38.8%
Taylor expanded in x around inf
distribute-lft-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-rgt-neg-inN/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
associate-*r/N/A
*-commutativeN/A
associate-*l*N/A
lft-mult-inverseN/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites37.8%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
associate-/l/N/A
lower-/.f64N/A
*-commutativeN/A
neg-mul-1N/A
lower-neg.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-*.f6437.8
Applied rewrites37.8%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
lift-+.f64N/A
+-commutativeN/A
lift-+.f64N/A
lower-/.f64N/A
Applied rewrites98.7%
(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) / Float64(-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 37.4%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
div-invN/A
metadata-evalN/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-/.f64N/A
associate-*l/N/A
neg-mul-1N/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites37.3%
lift--.f64N/A
flip--N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
+-commutativeN/A
lift-+.f64N/A
lift--.f64N/A
lower-/.f6438.8
lift-+.f64N/A
+-commutativeN/A
lower-+.f6438.8
Applied rewrites38.8%
Taylor expanded in x around inf
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower--.f64N/A
lower-/.f6498.6
Applied rewrites98.6%
Taylor expanded in x around inf
Applied rewrites98.1%
(FPCore (x) :precision binary64 (/ -1.0 (fma (/ (* x x) x) -2.0 -0.5)))
double code(double x) {
return -1.0 / fma(((x * x) / x), -2.0, -0.5);
}
function code(x) return Float64(-1.0 / fma(Float64(Float64(x * x) / x), -2.0, -0.5)) end
code[x_] := N[(-1.0 / N[(N[(N[(x * x), $MachinePrecision] / x), $MachinePrecision] * -2.0 + -0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-1}{\mathsf{fma}\left(\frac{x \cdot x}{x}, -2, -0.5\right)}
\end{array}
Initial program 37.4%
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 rewrites38.8%
Taylor expanded in x around inf
distribute-lft-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-rgt-neg-inN/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
metadata-evalN/A
rem-square-sqrtN/A
unpow2N/A
associate-*r/N/A
*-commutativeN/A
associate-*l*N/A
lft-mult-inverseN/A
metadata-evalN/A
metadata-evalN/A
Applied rewrites37.8%
Taylor expanded in x around 0
Applied rewrites37.0%
(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 37.4%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.5
Applied rewrites5.5%
Applied rewrites5.5%
Applied rewrites5.5%
Applied rewrites36.2%
(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 37.4%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.5
Applied rewrites5.5%
(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 2024331
(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)))))