
(FPCore (v) :precision binary64 (/ 4.0 (* (* (* 3.0 PI) (- 1.0 (* v v))) (sqrt (- 2.0 (* 6.0 (* v v)))))))
double code(double v) {
return 4.0 / (((3.0 * ((double) M_PI)) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v)))));
}
public static double code(double v) {
return 4.0 / (((3.0 * Math.PI) * (1.0 - (v * v))) * Math.sqrt((2.0 - (6.0 * (v * v)))));
}
def code(v): return 4.0 / (((3.0 * math.pi) * (1.0 - (v * v))) * math.sqrt((2.0 - (6.0 * (v * v)))))
function code(v) return Float64(4.0 / Float64(Float64(Float64(3.0 * pi) * Float64(1.0 - Float64(v * v))) * sqrt(Float64(2.0 - Float64(6.0 * Float64(v * v)))))) end
function tmp = code(v) tmp = 4.0 / (((3.0 * pi) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v))))); end
code[v_] := N[(4.0 / N[(N[(N[(3.0 * Pi), $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(2.0 - N[(6.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{4}{\left(\left(3 \cdot \pi\right) \cdot \left(1 - v \cdot v\right)\right) \cdot \sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\end{array}
Herbie found 4 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (v) :precision binary64 (/ 4.0 (* (* (* 3.0 PI) (- 1.0 (* v v))) (sqrt (- 2.0 (* 6.0 (* v v)))))))
double code(double v) {
return 4.0 / (((3.0 * ((double) M_PI)) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v)))));
}
public static double code(double v) {
return 4.0 / (((3.0 * Math.PI) * (1.0 - (v * v))) * Math.sqrt((2.0 - (6.0 * (v * v)))));
}
def code(v): return 4.0 / (((3.0 * math.pi) * (1.0 - (v * v))) * math.sqrt((2.0 - (6.0 * (v * v)))))
function code(v) return Float64(4.0 / Float64(Float64(Float64(3.0 * pi) * Float64(1.0 - Float64(v * v))) * sqrt(Float64(2.0 - Float64(6.0 * Float64(v * v)))))) end
function tmp = code(v) tmp = 4.0 / (((3.0 * pi) * (1.0 - (v * v))) * sqrt((2.0 - (6.0 * (v * v))))); end
code[v_] := N[(4.0 / N[(N[(N[(3.0 * Pi), $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Sqrt[N[(2.0 - N[(6.0 * N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{4}{\left(\left(3 \cdot \pi\right) \cdot \left(1 - v \cdot v\right)\right) \cdot \sqrt{2 - 6 \cdot \left(v \cdot v\right)}}
\end{array}
(FPCore (v) :precision binary64 (/ 4.0 (* PI (* 3.0 (* (sqrt (fma (* v v) -6.0 2.0)) (- 1.0 (* v v)))))))
double code(double v) {
return 4.0 / (((double) M_PI) * (3.0 * (sqrt(fma((v * v), -6.0, 2.0)) * (1.0 - (v * v)))));
}
function code(v) return Float64(4.0 / Float64(pi * Float64(3.0 * Float64(sqrt(fma(Float64(v * v), -6.0, 2.0)) * Float64(1.0 - Float64(v * v)))))) end
code[v_] := N[(4.0 / N[(Pi * N[(3.0 * N[(N[Sqrt[N[(N[(v * v), $MachinePrecision] * -6.0 + 2.0), $MachinePrecision]], $MachinePrecision] * N[(1.0 - N[(v * v), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{4}{\pi \cdot \left(3 \cdot \left(\sqrt{\mathsf{fma}\left(v \cdot v, -6, 2\right)} \cdot \left(1 - v \cdot v\right)\right)\right)}
\end{array}
Initial program 98.4%
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-sqrt.f64N/A
Applied rewrites98.4%
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites100.0%
(FPCore (v) :precision binary64 (/ (/ 1.3333333333333333 PI) (sqrt (fma -6.0 (* v v) 2.0))))
double code(double v) {
return (1.3333333333333333 / ((double) M_PI)) / sqrt(fma(-6.0, (v * v), 2.0));
}
function code(v) return Float64(Float64(1.3333333333333333 / pi) / sqrt(fma(-6.0, Float64(v * v), 2.0))) end
code[v_] := N[(N[(1.3333333333333333 / Pi), $MachinePrecision] / N[Sqrt[N[(-6.0 * N[(v * v), $MachinePrecision] + 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1.3333333333333333}{\pi}}{\sqrt{\mathsf{fma}\left(-6, v \cdot v, 2\right)}}
\end{array}
Initial program 98.4%
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites100.0%
Taylor expanded in v around 0
lower-/.f64N/A
lift-PI.f6499.8
Applied rewrites99.8%
(FPCore (v) :precision binary64 (/ 4.0 (* PI (* 3.0 (sqrt 2.0)))))
double code(double v) {
return 4.0 / (((double) M_PI) * (3.0 * sqrt(2.0)));
}
public static double code(double v) {
return 4.0 / (Math.PI * (3.0 * Math.sqrt(2.0)));
}
def code(v): return 4.0 / (math.pi * (3.0 * math.sqrt(2.0)))
function code(v) return Float64(4.0 / Float64(pi * Float64(3.0 * sqrt(2.0)))) end
function tmp = code(v) tmp = 4.0 / (pi * (3.0 * sqrt(2.0))); end
code[v_] := N[(4.0 / N[(Pi * N[(3.0 * N[Sqrt[2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{4}{\pi \cdot \left(3 \cdot \sqrt{2}\right)}
\end{array}
Initial program 98.4%
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lower-sqrt.f64N/A
Applied rewrites98.4%
lift-*.f64N/A
lift-PI.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lower-*.f64N/A
lift-PI.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in v around 0
lower-sqrt.f6499.8
Applied rewrites99.8%
(FPCore (v) :precision binary64 (* (/ (sqrt 0.5) PI) 1.3333333333333333))
double code(double v) {
return (sqrt(0.5) / ((double) M_PI)) * 1.3333333333333333;
}
public static double code(double v) {
return (Math.sqrt(0.5) / Math.PI) * 1.3333333333333333;
}
def code(v): return (math.sqrt(0.5) / math.pi) * 1.3333333333333333
function code(v) return Float64(Float64(sqrt(0.5) / pi) * 1.3333333333333333) end
function tmp = code(v) tmp = (sqrt(0.5) / pi) * 1.3333333333333333; end
code[v_] := N[(N[(N[Sqrt[0.5], $MachinePrecision] / Pi), $MachinePrecision] * 1.3333333333333333), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{0.5}}{\pi} \cdot 1.3333333333333333
\end{array}
Initial program 98.4%
Taylor expanded in v around 0
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lift-PI.f6498.3
Applied rewrites98.3%
herbie shell --seed 2025084
(FPCore (v)
:name "Falkner and Boettcher, Equation (22+)"
:precision binary64
(/ 4.0 (* (* (* 3.0 PI) (- 1.0 (* v v))) (sqrt (- 2.0 (* 6.0 (* v v)))))))