
(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 10 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 (/ (/ (- (+ (/ 0.125 x) 0.5) (/ 0.0625 (* x x))) (+ x 1.0)) (sqrt x)))
double code(double x) {
return ((((0.125 / x) + 0.5) - (0.0625 / (x * x))) / (x + 1.0)) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = ((((0.125d0 / x) + 0.5d0) - (0.0625d0 / (x * x))) / (x + 1.0d0)) / sqrt(x)
end function
public static double code(double x) {
return ((((0.125 / x) + 0.5) - (0.0625 / (x * x))) / (x + 1.0)) / Math.sqrt(x);
}
def code(x): return ((((0.125 / x) + 0.5) - (0.0625 / (x * x))) / (x + 1.0)) / math.sqrt(x)
function code(x) return Float64(Float64(Float64(Float64(Float64(0.125 / x) + 0.5) - Float64(0.0625 / Float64(x * x))) / Float64(x + 1.0)) / sqrt(x)) end
function tmp = code(x) tmp = ((((0.125 / x) + 0.5) - (0.0625 / (x * x))) / (x + 1.0)) / sqrt(x); end
code[x_] := N[(N[(N[(N[(N[(0.125 / x), $MachinePrecision] + 0.5), $MachinePrecision] - N[(0.0625 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(\frac{0.125}{x} + 0.5\right) - \frac{0.0625}{x \cdot x}}{x + 1}}{\sqrt{x}}
\end{array}
Initial program 39.3%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6439.3
Applied rewrites39.3%
lift-/.f64N/A
lift--.f64N/A
sub-divN/A
frac-subN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
Applied rewrites6.5%
Taylor expanded in x around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6499.6
Applied rewrites99.6%
(FPCore (x) :precision binary64 (let* ((t_0 (+ (sqrt x) x))) (if (<= x 4.6e+153) (pow t_0 -1.0) (/ (- (+ x 1.0) x) t_0))))
double code(double x) {
double t_0 = sqrt(x) + x;
double tmp;
if (x <= 4.6e+153) {
tmp = pow(t_0, -1.0);
} else {
tmp = ((x + 1.0) - 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 = t_0 ** (-1.0d0)
else
tmp = ((x + 1.0d0) - 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 = Math.pow(t_0, -1.0);
} else {
tmp = ((x + 1.0) - x) / t_0;
}
return tmp;
}
def code(x): t_0 = math.sqrt(x) + x tmp = 0 if x <= 4.6e+153: tmp = math.pow(t_0, -1.0) else: tmp = ((x + 1.0) - x) / t_0 return tmp
function code(x) t_0 = Float64(sqrt(x) + x) tmp = 0.0 if (x <= 4.6e+153) tmp = t_0 ^ -1.0; else tmp = Float64(Float64(Float64(x + 1.0) - 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 = t_0 ^ -1.0; else tmp = ((x + 1.0) - 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[Power[t$95$0, -1.0], $MachinePrecision], N[(N[(N[(x + 1.0), $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}:\\
\;\;\;\;{t\_0}^{-1}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(x + 1\right) - x}{t\_0}\\
\end{array}
\end{array}
if x < 4.6000000000000003e153Initial program 7.7%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f647.9
Applied rewrites7.9%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift--.f64N/A
flip--N/A
associate-/l/N/A
lower-/.f64N/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
lower--.f64N/A
Applied rewrites14.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
distribute-rgt-inN/A
*-lft-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f648.5
Applied rewrites8.5%
if 4.6000000000000003e153 < x Initial program 67.9%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6467.9
Applied rewrites67.9%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift--.f64N/A
flip--N/A
associate-/l/N/A
lower-/.f64N/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
lower--.f64N/A
Applied rewrites67.9%
Taylor expanded in x around 0
distribute-lft-inN/A
*-rgt-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f6467.9
Applied rewrites67.9%
Final simplification39.6%
(FPCore (x) :precision binary64 (if (<= x 4.6e+153) (pow (+ (sqrt x) x) -1.0) (/ 0.0 (sqrt x))))
double code(double x) {
double tmp;
if (x <= 4.6e+153) {
tmp = pow((sqrt(x) + x), -1.0);
} else {
tmp = 0.0 / sqrt(x);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 4.6d+153) then
tmp = (sqrt(x) + x) ** (-1.0d0)
else
tmp = 0.0d0 / sqrt(x)
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 4.6e+153) {
tmp = Math.pow((Math.sqrt(x) + x), -1.0);
} else {
tmp = 0.0 / Math.sqrt(x);
}
return tmp;
}
def code(x): tmp = 0 if x <= 4.6e+153: tmp = math.pow((math.sqrt(x) + x), -1.0) else: tmp = 0.0 / math.sqrt(x) return tmp
function code(x) tmp = 0.0 if (x <= 4.6e+153) tmp = Float64(sqrt(x) + x) ^ -1.0; else tmp = Float64(0.0 / sqrt(x)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 4.6e+153) tmp = (sqrt(x) + x) ^ -1.0; else tmp = 0.0 / sqrt(x); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 4.6e+153], N[Power[N[(N[Sqrt[x], $MachinePrecision] + x), $MachinePrecision], -1.0], $MachinePrecision], N[(0.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 4.6 \cdot 10^{+153}:\\
\;\;\;\;{\left(\sqrt{x} + x\right)}^{-1}\\
\mathbf{else}:\\
\;\;\;\;\frac{0}{\sqrt{x}}\\
\end{array}
\end{array}
if x < 4.6000000000000003e153Initial program 7.7%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f647.9
Applied rewrites7.9%
lift-/.f64N/A
lift-/.f64N/A
associate-/l/N/A
lift--.f64N/A
flip--N/A
associate-/l/N/A
lower-/.f64N/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
lower--.f64N/A
Applied rewrites14.4%
lift--.f64N/A
lift-+.f64N/A
+-commutativeN/A
associate--l+N/A
lower-+.f64N/A
lower--.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
distribute-rgt-inN/A
*-lft-identityN/A
rem-square-sqrtN/A
lower-+.f64N/A
lower-sqrt.f648.5
Applied rewrites8.5%
if 4.6000000000000003e153 < x Initial program 67.9%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6467.9
Applied rewrites67.9%
lift-/.f64N/A
lift--.f64N/A
sub-divN/A
frac-subN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
Applied rewrites1.5%
Taylor expanded in x around -inf
unpow2N/A
rem-square-sqrtN/A
metadata-eval67.9
Applied rewrites67.9%
Final simplification39.6%
(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 39.3%
Taylor expanded in x around 0
lower-sqrt.f64N/A
lower-/.f645.6
Applied rewrites5.6%
Final simplification5.6%
(FPCore (x) :precision binary64 (/ (/ (+ (/ 0.125 x) 0.5) (+ x 1.0)) (sqrt x)))
double code(double x) {
return (((0.125 / x) + 0.5) / (x + 1.0)) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((0.125d0 / x) + 0.5d0) / (x + 1.0d0)) / sqrt(x)
end function
public static double code(double x) {
return (((0.125 / x) + 0.5) / (x + 1.0)) / Math.sqrt(x);
}
def code(x): return (((0.125 / x) + 0.5) / (x + 1.0)) / math.sqrt(x)
function code(x) return Float64(Float64(Float64(Float64(0.125 / x) + 0.5) / Float64(x + 1.0)) / sqrt(x)) end
function tmp = code(x) tmp = (((0.125 / x) + 0.5) / (x + 1.0)) / sqrt(x); end
code[x_] := N[(N[(N[(N[(0.125 / x), $MachinePrecision] + 0.5), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\frac{0.125}{x} + 0.5}{x + 1}}{\sqrt{x}}
\end{array}
Initial program 39.3%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6439.3
Applied rewrites39.3%
lift-/.f64N/A
lift--.f64N/A
sub-divN/A
frac-subN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
Applied rewrites6.5%
Taylor expanded in x around inf
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6499.4
Applied rewrites99.4%
(FPCore (x) :precision binary64 (/ (/ (- 0.5 (/ 0.375 x)) x) (sqrt x)))
double code(double x) {
return ((0.5 - (0.375 / x)) / x) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = ((0.5d0 - (0.375d0 / x)) / x) / sqrt(x)
end function
public static double code(double x) {
return ((0.5 - (0.375 / x)) / x) / Math.sqrt(x);
}
def code(x): return ((0.5 - (0.375 / x)) / x) / math.sqrt(x)
function code(x) return Float64(Float64(Float64(0.5 - Float64(0.375 / x)) / x) / sqrt(x)) end
function tmp = code(x) tmp = ((0.5 - (0.375 / x)) / x) / sqrt(x); end
code[x_] := N[(N[(N[(0.5 - N[(0.375 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5 - \frac{0.375}{x}}{x}}{\sqrt{x}}
\end{array}
Initial program 39.3%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6439.3
Applied rewrites39.3%
Taylor expanded in x around inf
lower-/.f64N/A
fp-cancel-sign-sub-invN/A
metadata-evalN/A
*-lft-identityN/A
lower--.f64N/A
distribute-rgt-outN/A
metadata-evalN/A
*-commutativeN/A
unpow2N/A
times-fracN/A
metadata-evalN/A
div-add-revN/A
*-rgt-identityN/A
associate-*r/N/A
rgt-mult-inverseN/A
lower-*.f64N/A
div-add-revN/A
metadata-evalN/A
lower-/.f6499.3
Applied rewrites99.3%
Applied rewrites99.3%
(FPCore (x) :precision binary64 (/ (/ 0.5 (+ x 1.0)) (sqrt x)))
double code(double x) {
return (0.5 / (x + 1.0)) / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 / (x + 1.0d0)) / sqrt(x)
end function
public static double code(double x) {
return (0.5 / (x + 1.0)) / Math.sqrt(x);
}
def code(x): return (0.5 / (x + 1.0)) / math.sqrt(x)
function code(x) return Float64(Float64(0.5 / Float64(x + 1.0)) / sqrt(x)) end
function tmp = code(x) tmp = (0.5 / (x + 1.0)) / sqrt(x); end
code[x_] := N[(N[(0.5 / N[(x + 1.0), $MachinePrecision]), $MachinePrecision] / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{x + 1}}{\sqrt{x}}
\end{array}
Initial program 39.3%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6439.3
Applied rewrites39.3%
lift-/.f64N/A
lift--.f64N/A
sub-divN/A
frac-subN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
Applied rewrites6.5%
Taylor expanded in x around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower-/.f64N/A
unpow2N/A
lower-*.f6499.6
Applied rewrites99.6%
Taylor expanded in x around inf
Applied rewrites98.8%
(FPCore (x) :precision binary64 (/ (/ 0.5 (sqrt x)) x))
double code(double x) {
return (0.5 / sqrt(x)) / x;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 / sqrt(x)) / x
end function
public static double code(double x) {
return (0.5 / Math.sqrt(x)) / x;
}
def code(x): return (0.5 / math.sqrt(x)) / x
function code(x) return Float64(Float64(0.5 / sqrt(x)) / x) end
function tmp = code(x) tmp = (0.5 / sqrt(x)) / x; end
code[x_] := N[(N[(0.5 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{\sqrt{x}}}{x}
\end{array}
Initial program 39.3%
Taylor expanded in x around inf
Applied rewrites82.8%
Taylor expanded in x around inf
Applied rewrites99.4%
Taylor expanded in x around inf
Applied rewrites98.7%
Applied rewrites98.7%
(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 39.3%
Taylor expanded in x around inf
Applied rewrites82.8%
Taylor expanded in x around inf
Applied rewrites82.1%
(FPCore (x) :precision binary64 (/ 0.0 (sqrt x)))
double code(double x) {
return 0.0 / sqrt(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.0d0 / sqrt(x)
end function
public static double code(double x) {
return 0.0 / Math.sqrt(x);
}
def code(x): return 0.0 / math.sqrt(x)
function code(x) return Float64(0.0 / sqrt(x)) end
function tmp = code(x) tmp = 0.0 / sqrt(x); end
code[x_] := N[(0.0 / N[Sqrt[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0}{\sqrt{x}}
\end{array}
Initial program 39.3%
lift--.f64N/A
lift-/.f64N/A
lift-/.f64N/A
frac-subN/A
*-commutativeN/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f64N/A
*-lft-identityN/A
*-rgt-identityN/A
lower--.f6439.3
Applied rewrites39.3%
lift-/.f64N/A
lift--.f64N/A
sub-divN/A
frac-subN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower-/.f64N/A
Applied rewrites6.5%
Taylor expanded in x around -inf
unpow2N/A
rem-square-sqrtN/A
metadata-eval37.6
Applied rewrites37.6%
(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 2024339
(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)))))