
(FPCore (x) :precision binary64 (- 1.0 (sqrt (* 0.5 (+ 1.0 (/ 1.0 (hypot 1.0 x)))))))
double code(double x) {
return 1.0 - sqrt((0.5 * (1.0 + (1.0 / hypot(1.0, x)))));
}
public static double code(double x) {
return 1.0 - Math.sqrt((0.5 * (1.0 + (1.0 / Math.hypot(1.0, x)))));
}
def code(x): return 1.0 - math.sqrt((0.5 * (1.0 + (1.0 / math.hypot(1.0, x)))))
function code(x) return Float64(1.0 - sqrt(Float64(0.5 * Float64(1.0 + Float64(1.0 / hypot(1.0, x)))))) end
function tmp = code(x) tmp = 1.0 - sqrt((0.5 * (1.0 + (1.0 / hypot(1.0, x))))); end
code[x_] := N[(1.0 - N[Sqrt[N[(0.5 * N[(1.0 + N[(1.0 / N[Sqrt[1.0 ^ 2 + x ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \sqrt{0.5 \cdot \left(1 + \frac{1}{\mathsf{hypot}\left(1, x\right)}\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 13 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (- 1.0 (sqrt (* 0.5 (+ 1.0 (/ 1.0 (hypot 1.0 x)))))))
double code(double x) {
return 1.0 - sqrt((0.5 * (1.0 + (1.0 / hypot(1.0, x)))));
}
public static double code(double x) {
return 1.0 - Math.sqrt((0.5 * (1.0 + (1.0 / Math.hypot(1.0, x)))));
}
def code(x): return 1.0 - math.sqrt((0.5 * (1.0 + (1.0 / math.hypot(1.0, x)))))
function code(x) return Float64(1.0 - sqrt(Float64(0.5 * Float64(1.0 + Float64(1.0 / hypot(1.0, x)))))) end
function tmp = code(x) tmp = 1.0 - sqrt((0.5 * (1.0 + (1.0 / hypot(1.0, x))))); end
code[x_] := N[(1.0 - N[Sqrt[N[(0.5 * N[(1.0 + N[(1.0 / N[Sqrt[1.0 ^ 2 + x ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \sqrt{0.5 \cdot \left(1 + \frac{1}{\mathsf{hypot}\left(1, x\right)}\right)}
\end{array}
(FPCore (x) :precision binary64 (let* ((t_0 (/ -0.5 (hypot 1.0 x)))) (/ (+ 0.5 t_0) (+ 1.0 (sqrt (- 0.5 t_0))))))
double code(double x) {
double t_0 = -0.5 / hypot(1.0, x);
return (0.5 + t_0) / (1.0 + sqrt((0.5 - t_0)));
}
public static double code(double x) {
double t_0 = -0.5 / Math.hypot(1.0, x);
return (0.5 + t_0) / (1.0 + Math.sqrt((0.5 - t_0)));
}
def code(x): t_0 = -0.5 / math.hypot(1.0, x) return (0.5 + t_0) / (1.0 + math.sqrt((0.5 - t_0)))
function code(x) t_0 = Float64(-0.5 / hypot(1.0, x)) return Float64(Float64(0.5 + t_0) / Float64(1.0 + sqrt(Float64(0.5 - t_0)))) end
function tmp = code(x) t_0 = -0.5 / hypot(1.0, x); tmp = (0.5 + t_0) / (1.0 + sqrt((0.5 - t_0))); end
code[x_] := Block[{t$95$0 = N[(-0.5 / N[Sqrt[1.0 ^ 2 + x ^ 2], $MachinePrecision]), $MachinePrecision]}, N[(N[(0.5 + t$95$0), $MachinePrecision] / N[(1.0 + N[Sqrt[N[(0.5 - t$95$0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{-0.5}{\mathsf{hypot}\left(1, x\right)}\\
\frac{0.5 + t\_0}{1 + \sqrt{0.5 - t\_0}}
\end{array}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
flip--N/A
metadata-evalN/A
rem-square-sqrtN/A
associate--r+N/A
metadata-evalN/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (/ (+ 0.5 (/ -0.5 (- (/ (+ 0.5 (* x x)) x) (/ 0.125 (* x (* x x)))))) (+ 1.0 (sqrt (- 0.5 (/ -0.5 (hypot 1.0 x)))))))
double code(double x) {
return (0.5 + (-0.5 / (((0.5 + (x * x)) / x) - (0.125 / (x * (x * x)))))) / (1.0 + sqrt((0.5 - (-0.5 / hypot(1.0, x)))));
}
public static double code(double x) {
return (0.5 + (-0.5 / (((0.5 + (x * x)) / x) - (0.125 / (x * (x * x)))))) / (1.0 + Math.sqrt((0.5 - (-0.5 / Math.hypot(1.0, x)))));
}
def code(x): return (0.5 + (-0.5 / (((0.5 + (x * x)) / x) - (0.125 / (x * (x * x)))))) / (1.0 + math.sqrt((0.5 - (-0.5 / math.hypot(1.0, x)))))
function code(x) return Float64(Float64(0.5 + Float64(-0.5 / Float64(Float64(Float64(0.5 + Float64(x * x)) / x) - Float64(0.125 / Float64(x * Float64(x * x)))))) / Float64(1.0 + sqrt(Float64(0.5 - Float64(-0.5 / hypot(1.0, x)))))) end
function tmp = code(x) tmp = (0.5 + (-0.5 / (((0.5 + (x * x)) / x) - (0.125 / (x * (x * x)))))) / (1.0 + sqrt((0.5 - (-0.5 / hypot(1.0, x))))); end
code[x_] := N[(N[(0.5 + N[(-0.5 / N[(N[(N[(0.5 + N[(x * x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] - N[(0.125 / N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Sqrt[N[(0.5 - N[(-0.5 / N[Sqrt[1.0 ^ 2 + x ^ 2], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5 + \frac{-0.5}{\frac{0.5 + x \cdot x}{x} - \frac{0.125}{x \cdot \left(x \cdot x\right)}}}{1 + \sqrt{0.5 - \frac{-0.5}{\mathsf{hypot}\left(1, x\right)}}}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
flip--N/A
metadata-evalN/A
rem-square-sqrtN/A
associate--r+N/A
metadata-evalN/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
metadata-evalN/A
metadata-evalN/A
pow-sqrN/A
/-lowering-/.f64N/A
pow-sqrN/A
metadata-evalN/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.2%
Simplified98.2%
Taylor expanded in x around 0
div-subN/A
--lowering--.f64N/A
unpow3N/A
unpow2N/A
times-fracN/A
*-inversesN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.2%
Simplified98.2%
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
*-lft-identityN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6498.2%
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (x)
:precision binary64
(let* ((t_0
(+
0.5
(/ (+ (+ 0.5 (/ -0.25 (* x x))) (/ 0.1875 (* x (* x (* x x))))) x))))
(/ (- 1.0 t_0) (+ 1.0 (sqrt t_0)))))
double code(double x) {
double t_0 = 0.5 + (((0.5 + (-0.25 / (x * x))) + (0.1875 / (x * (x * (x * x))))) / x);
return (1.0 - t_0) / (1.0 + sqrt(t_0));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 0.5d0 + (((0.5d0 + ((-0.25d0) / (x * x))) + (0.1875d0 / (x * (x * (x * x))))) / x)
code = (1.0d0 - t_0) / (1.0d0 + sqrt(t_0))
end function
public static double code(double x) {
double t_0 = 0.5 + (((0.5 + (-0.25 / (x * x))) + (0.1875 / (x * (x * (x * x))))) / x);
return (1.0 - t_0) / (1.0 + Math.sqrt(t_0));
}
def code(x): t_0 = 0.5 + (((0.5 + (-0.25 / (x * x))) + (0.1875 / (x * (x * (x * x))))) / x) return (1.0 - t_0) / (1.0 + math.sqrt(t_0))
function code(x) t_0 = Float64(0.5 + Float64(Float64(Float64(0.5 + Float64(-0.25 / Float64(x * x))) + Float64(0.1875 / Float64(x * Float64(x * Float64(x * x))))) / x)) return Float64(Float64(1.0 - t_0) / Float64(1.0 + sqrt(t_0))) end
function tmp = code(x) t_0 = 0.5 + (((0.5 + (-0.25 / (x * x))) + (0.1875 / (x * (x * (x * x))))) / x); tmp = (1.0 - t_0) / (1.0 + sqrt(t_0)); end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(N[(N[(0.5 + N[(-0.25 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.1875 / N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(1.0 + N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \frac{\left(0.5 + \frac{-0.25}{x \cdot x}\right) + \frac{0.1875}{x \cdot \left(x \cdot \left(x \cdot x\right)\right)}}{x}\\
\frac{1 - t\_0}{1 + \sqrt{t\_0}}
\end{array}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
/-lowering-/.f64N/A
Simplified96.7%
flip--N/A
/-lowering-/.f64N/A
Applied egg-rr98.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 0.25 (* x x))))
(*
(/ 1.0 (+ 1.0 (sqrt (+ 0.5 (/ (- 0.5 t_0) x)))))
(+ 0.5 (/ (- t_0 0.5) x)))))
double code(double x) {
double t_0 = 0.25 / (x * x);
return (1.0 / (1.0 + sqrt((0.5 + ((0.5 - t_0) / x))))) * (0.5 + ((t_0 - 0.5) / x));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 0.25d0 / (x * x)
code = (1.0d0 / (1.0d0 + sqrt((0.5d0 + ((0.5d0 - t_0) / x))))) * (0.5d0 + ((t_0 - 0.5d0) / x))
end function
public static double code(double x) {
double t_0 = 0.25 / (x * x);
return (1.0 / (1.0 + Math.sqrt((0.5 + ((0.5 - t_0) / x))))) * (0.5 + ((t_0 - 0.5) / x));
}
def code(x): t_0 = 0.25 / (x * x) return (1.0 / (1.0 + math.sqrt((0.5 + ((0.5 - t_0) / x))))) * (0.5 + ((t_0 - 0.5) / x))
function code(x) t_0 = Float64(0.25 / Float64(x * x)) return Float64(Float64(1.0 / Float64(1.0 + sqrt(Float64(0.5 + Float64(Float64(0.5 - t_0) / x))))) * Float64(0.5 + Float64(Float64(t_0 - 0.5) / x))) end
function tmp = code(x) t_0 = 0.25 / (x * x); tmp = (1.0 / (1.0 + sqrt((0.5 + ((0.5 - t_0) / x))))) * (0.5 + ((t_0 - 0.5) / x)); end
code[x_] := Block[{t$95$0 = N[(0.25 / N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 / N[(1.0 + N[Sqrt[N[(0.5 + N[(N[(0.5 - t$95$0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.5 + N[(N[(t$95$0 - 0.5), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{0.25}{x \cdot x}\\
\frac{1}{1 + \sqrt{0.5 + \frac{0.5 - t\_0}{x}}} \cdot \left(0.5 + \frac{t\_0 - 0.5}{x}\right)
\end{array}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
associate--l+N/A
unpow3N/A
unpow2N/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
associate-*r/N/A
metadata-evalN/A
div-subN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6496.7%
Simplified96.7%
+-commutativeN/A
div-subN/A
associate-+l-N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6496.7%
Applied egg-rr96.7%
flip--N/A
Applied egg-rr98.1%
Final simplification98.1%
(FPCore (x) :precision binary64 (/ (+ 0.5 (/ -0.5 x)) (+ 1.0 (sqrt (+ 0.5 (/ (- 0.5 (/ 0.25 (* x x))) x))))))
double code(double x) {
return (0.5 + (-0.5 / x)) / (1.0 + sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (0.5d0 + ((-0.5d0) / x)) / (1.0d0 + sqrt((0.5d0 + ((0.5d0 - (0.25d0 / (x * x))) / x))))
end function
public static double code(double x) {
return (0.5 + (-0.5 / x)) / (1.0 + Math.sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x))));
}
def code(x): return (0.5 + (-0.5 / x)) / (1.0 + math.sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x))))
function code(x) return Float64(Float64(0.5 + Float64(-0.5 / x)) / Float64(1.0 + sqrt(Float64(0.5 + Float64(Float64(0.5 - Float64(0.25 / Float64(x * x))) / x))))) end
function tmp = code(x) tmp = (0.5 + (-0.5 / x)) / (1.0 + sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x)))); end
code[x_] := N[(N[(0.5 + N[(-0.5 / x), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Sqrt[N[(0.5 + N[(N[(0.5 - N[(0.25 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5 + \frac{-0.5}{x}}{1 + \sqrt{0.5 + \frac{0.5 - \frac{0.25}{x \cdot x}}{x}}}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
associate--l+N/A
unpow3N/A
unpow2N/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
associate-*r/N/A
metadata-evalN/A
div-subN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6496.7%
Simplified96.7%
flip--N/A
/-lowering-/.f64N/A
metadata-evalN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Applied egg-rr98.1%
Taylor expanded in x around inf
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f6498.0%
Simplified98.0%
(FPCore (x) :precision binary64 (let* ((t_0 (+ 0.5 (/ 0.5 x)))) (* (- 1.0 t_0) (/ 1.0 (+ 1.0 (sqrt t_0))))))
double code(double x) {
double t_0 = 0.5 + (0.5 / x);
return (1.0 - t_0) * (1.0 / (1.0 + sqrt(t_0)));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 0.5d0 + (0.5d0 / x)
code = (1.0d0 - t_0) * (1.0d0 / (1.0d0 + sqrt(t_0)))
end function
public static double code(double x) {
double t_0 = 0.5 + (0.5 / x);
return (1.0 - t_0) * (1.0 / (1.0 + Math.sqrt(t_0)));
}
def code(x): t_0 = 0.5 + (0.5 / x) return (1.0 - t_0) * (1.0 / (1.0 + math.sqrt(t_0)))
function code(x) t_0 = Float64(0.5 + Float64(0.5 / x)) return Float64(Float64(1.0 - t_0) * Float64(1.0 / Float64(1.0 + sqrt(t_0)))) end
function tmp = code(x) t_0 = 0.5 + (0.5 / x); tmp = (1.0 - t_0) * (1.0 / (1.0 + sqrt(t_0))); end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] * N[(1.0 / N[(1.0 + N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \frac{0.5}{x}\\
\left(1 - t\_0\right) \cdot \frac{1}{1 + \sqrt{t\_0}}
\end{array}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6496.5%
Simplified96.5%
flip--N/A
div-invN/A
*-lowering-*.f64N/A
metadata-evalN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6498.0%
Applied egg-rr98.0%
(FPCore (x) :precision binary64 (let* ((t_0 (+ 0.5 (/ 0.5 x)))) (/ (- 1.0 t_0) (+ 1.0 (sqrt t_0)))))
double code(double x) {
double t_0 = 0.5 + (0.5 / x);
return (1.0 - t_0) / (1.0 + sqrt(t_0));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 0.5d0 + (0.5d0 / x)
code = (1.0d0 - t_0) / (1.0d0 + sqrt(t_0))
end function
public static double code(double x) {
double t_0 = 0.5 + (0.5 / x);
return (1.0 - t_0) / (1.0 + Math.sqrt(t_0));
}
def code(x): t_0 = 0.5 + (0.5 / x) return (1.0 - t_0) / (1.0 + math.sqrt(t_0))
function code(x) t_0 = Float64(0.5 + Float64(0.5 / x)) return Float64(Float64(1.0 - t_0) / Float64(1.0 + sqrt(t_0))) end
function tmp = code(x) t_0 = 0.5 + (0.5 / x); tmp = (1.0 - t_0) / (1.0 + sqrt(t_0)); end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(0.5 / x), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - t$95$0), $MachinePrecision] / N[(1.0 + N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + \frac{0.5}{x}\\
\frac{1 - t\_0}{1 + \sqrt{t\_0}}
\end{array}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f6496.5%
Simplified96.5%
flip--N/A
/-lowering-/.f64N/A
metadata-evalN/A
rem-square-sqrtN/A
--lowering--.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f6498.0%
Applied egg-rr98.0%
(FPCore (x) :precision binary64 (- 1.0 (sqrt (+ (/ 0.5 x) (- 0.5 (/ (/ 0.25 (* x x)) x))))))
double code(double x) {
return 1.0 - sqrt(((0.5 / x) + (0.5 - ((0.25 / (x * x)) / x))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 - sqrt(((0.5d0 / x) + (0.5d0 - ((0.25d0 / (x * x)) / x))))
end function
public static double code(double x) {
return 1.0 - Math.sqrt(((0.5 / x) + (0.5 - ((0.25 / (x * x)) / x))));
}
def code(x): return 1.0 - math.sqrt(((0.5 / x) + (0.5 - ((0.25 / (x * x)) / x))))
function code(x) return Float64(1.0 - sqrt(Float64(Float64(0.5 / x) + Float64(0.5 - Float64(Float64(0.25 / Float64(x * x)) / x))))) end
function tmp = code(x) tmp = 1.0 - sqrt(((0.5 / x) + (0.5 - ((0.25 / (x * x)) / x)))); end
code[x_] := N[(1.0 - N[Sqrt[N[(N[(0.5 / x), $MachinePrecision] + N[(0.5 - N[(N[(0.25 / N[(x * x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \sqrt{\frac{0.5}{x} + \left(0.5 - \frac{\frac{0.25}{x \cdot x}}{x}\right)}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
associate--l+N/A
unpow3N/A
unpow2N/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
associate-*r/N/A
metadata-evalN/A
div-subN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6496.7%
Simplified96.7%
+-commutativeN/A
div-subN/A
associate-+l-N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6496.7%
Applied egg-rr96.7%
Final simplification96.7%
(FPCore (x) :precision binary64 (- 1.0 (sqrt (+ 0.5 (/ (- 0.5 (/ 0.25 (* x x))) x)))))
double code(double x) {
return 1.0 - sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 - sqrt((0.5d0 + ((0.5d0 - (0.25d0 / (x * x))) / x)))
end function
public static double code(double x) {
return 1.0 - Math.sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x)));
}
def code(x): return 1.0 - math.sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x)))
function code(x) return Float64(1.0 - sqrt(Float64(0.5 + Float64(Float64(0.5 - Float64(0.25 / Float64(x * x))) / x)))) end
function tmp = code(x) tmp = 1.0 - sqrt((0.5 + ((0.5 - (0.25 / (x * x))) / x))); end
code[x_] := N[(1.0 - N[Sqrt[N[(0.5 + N[(N[(0.5 - N[(0.25 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \sqrt{0.5 + \frac{0.5 - \frac{0.25}{x \cdot x}}{x}}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
associate--l+N/A
unpow3N/A
unpow2N/A
associate-/r*N/A
metadata-evalN/A
associate-*r/N/A
associate-*r/N/A
metadata-evalN/A
div-subN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6496.7%
Simplified96.7%
(FPCore (x) :precision binary64 (/ 0.5 (+ 1.0 (sqrt 0.5))))
double code(double x) {
return 0.5 / (1.0 + sqrt(0.5));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.5d0 / (1.0d0 + sqrt(0.5d0))
end function
public static double code(double x) {
return 0.5 / (1.0 + Math.sqrt(0.5));
}
def code(x): return 0.5 / (1.0 + math.sqrt(0.5))
function code(x) return Float64(0.5 / Float64(1.0 + sqrt(0.5))) end
function tmp = code(x) tmp = 0.5 / (1.0 + sqrt(0.5)); end
code[x_] := N[(0.5 / N[(1.0 + N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{1 + \sqrt{0.5}}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f6496.3%
Simplified96.3%
flip--N/A
metadata-evalN/A
rem-square-sqrtN/A
metadata-evalN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6497.8%
Applied egg-rr97.8%
(FPCore (x) :precision binary64 (- 1.0 (sqrt 0.5)))
double code(double x) {
return 1.0 - sqrt(0.5);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 - sqrt(0.5d0)
end function
public static double code(double x) {
return 1.0 - Math.sqrt(0.5);
}
def code(x): return 1.0 - math.sqrt(0.5)
function code(x) return Float64(1.0 - sqrt(0.5)) end
function tmp = code(x) tmp = 1.0 - sqrt(0.5); end
code[x_] := N[(1.0 - N[Sqrt[0.5], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \sqrt{0.5}
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around inf
--lowering--.f64N/A
sqrt-lowering-sqrt.f6496.3%
Simplified96.3%
(FPCore (x) :precision binary64 0.25)
double code(double x) {
return 0.25;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.25d0
end function
public static double code(double x) {
return 0.25;
}
def code(x): return 0.25
function code(x) return 0.25 end
function tmp = code(x) tmp = 0.25; end
code[x_] := 0.25
\begin{array}{l}
\\
0.25
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
flip--N/A
metadata-evalN/A
rem-square-sqrtN/A
associate--r+N/A
metadata-evalN/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
associate--l+N/A
+-lowering-+.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-neg-fracN/A
metadata-evalN/A
metadata-evalN/A
pow-sqrN/A
/-lowering-/.f64N/A
pow-sqrN/A
metadata-evalN/A
metadata-evalN/A
pow-plusN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.2%
Simplified98.2%
Taylor expanded in x around 0
Simplified22.7%
(FPCore (x) :precision binary64 0.0)
double code(double x) {
return 0.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 0.0d0
end function
public static double code(double x) {
return 0.0;
}
def code(x): return 0.0
function code(x) return 0.0 end
function tmp = code(x) tmp = 0.0; end
code[x_] := 0.0
\begin{array}{l}
\\
0
\end{array}
Initial program 98.5%
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
distribute-rgt-inN/A
metadata-evalN/A
+-lowering-+.f64N/A
associate-*l/N/A
metadata-evalN/A
/-lowering-/.f64N/A
hypot-undefineN/A
hypot-lowering-hypot.f6498.5%
Simplified98.5%
Taylor expanded in x around 0
Simplified3.1%
metadata-eval3.1%
Applied egg-rr3.1%
herbie shell --seed 2024170
(FPCore (x)
:name "Given's Rotation SVD example, simplified"
:precision binary64
(- 1.0 (sqrt (* 0.5 (+ 1.0 (/ 1.0 (hypot 1.0 x)))))))