
(FPCore (a b) :precision binary64 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b): return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b) return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b))) end
function tmp = code(a, b) tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b)); end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b) :precision binary64 (* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))
double code(double a, double b) {
return ((((double) M_PI) / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
public static double code(double a, double b) {
return ((Math.PI / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b));
}
def code(a, b): return ((math.pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b))
function code(a, b) return Float64(Float64(Float64(pi / 2.0) * Float64(1.0 / Float64(Float64(b * b) - Float64(a * a)))) * Float64(Float64(1.0 / a) - Float64(1.0 / b))) end
function tmp = code(a, b) tmp = ((pi / 2.0) * (1.0 / ((b * b) - (a * a)))) * ((1.0 / a) - (1.0 / b)); end
code[a_, b_] := N[(N[(N[(Pi / 2.0), $MachinePrecision] * N[(1.0 / N[(N[(b * b), $MachinePrecision] - N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / a), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{\pi}{2} \cdot \frac{1}{b \cdot b - a \cdot a}\right) \cdot \left(\frac{1}{a} - \frac{1}{b}\right)
\end{array}
(FPCore (a b) :precision binary64 (* (/ PI (+ b a)) (/ (/ 0.5 b) a)))
double code(double a, double b) {
return (((double) M_PI) / (b + a)) * ((0.5 / b) / a);
}
public static double code(double a, double b) {
return (Math.PI / (b + a)) * ((0.5 / b) / a);
}
def code(a, b): return (math.pi / (b + a)) * ((0.5 / b) / a)
function code(a, b) return Float64(Float64(pi / Float64(b + a)) * Float64(Float64(0.5 / b) / a)) end
function tmp = code(a, b) tmp = (pi / (b + a)) * ((0.5 / b) / a); end
code[a_, b_] := N[(N[(Pi / N[(b + a), $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 / b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\pi}{b + a} \cdot \frac{\frac{0.5}{b}}{a}
\end{array}
Initial program 80.7%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
un-div-invN/A
lift-/.f64N/A
div-invN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
difference-of-squaresN/A
times-fracN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites99.6%
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
lift-*.f64N/A
associate-/r*N/A
lift-/.f64N/A
div-invN/A
associate-*l*N/A
inv-powN/A
pow-plusN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lift-/.f64N/A
lower-/.f6499.7
Applied rewrites99.7%
(FPCore (a b) :precision binary64 (/ (/ PI (+ b a)) (* 2.0 (* b a))))
double code(double a, double b) {
return (((double) M_PI) / (b + a)) / (2.0 * (b * a));
}
public static double code(double a, double b) {
return (Math.PI / (b + a)) / (2.0 * (b * a));
}
def code(a, b): return (math.pi / (b + a)) / (2.0 * (b * a))
function code(a, b) return Float64(Float64(pi / Float64(b + a)) / Float64(2.0 * Float64(b * a))) end
function tmp = code(a, b) tmp = (pi / (b + a)) / (2.0 * (b * a)); end
code[a_, b_] := N[(N[(Pi / N[(b + a), $MachinePrecision]), $MachinePrecision] / N[(2.0 * N[(b * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\pi}{b + a}}{2 \cdot \left(b \cdot a\right)}
\end{array}
Initial program 77.6%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
un-div-invN/A
lift-/.f64N/A
div-invN/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
difference-of-squaresN/A
times-fracN/A
associate-*l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-*.f64N/A
Applied rewrites99.5%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
frac-timesN/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
associate-*l/N/A
lift-+.f64N/A
lift--.f64N/A
difference-of-squaresN/A
associate-/l/N/A
Applied rewrites99.7%
herbie shell --seed 2024223
(FPCore (a b)
:name "NMSE Section 6.1 mentioned, B"
:precision binary64
(* (* (/ PI 2.0) (/ 1.0 (- (* b b) (* a a)))) (- (/ 1.0 a) (/ 1.0 b))))