| Alternative 1 | |
|---|---|
| Accuracy | 99.5% |
| Cost | 6784 |
\[x + 0.125 \cdot {x}^{3}
\]
(FPCore (x) :precision binary64 (- (sqrt (+ 1.0 x)) (sqrt (- 1.0 x))))
(FPCore (x) :precision binary64 (/ (+ x x) (+ (sqrt (+ x 1.0)) (sqrt (- 1.0 x)))))
double code(double x) {
return sqrt((1.0 + x)) - sqrt((1.0 - x));
}
double code(double x) {
return (x + x) / (sqrt((x + 1.0)) + sqrt((1.0 - x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = sqrt((1.0d0 + x)) - sqrt((1.0d0 - x))
end function
real(8) function code(x)
real(8), intent (in) :: x
code = (x + x) / (sqrt((x + 1.0d0)) + sqrt((1.0d0 - x)))
end function
public static double code(double x) {
return Math.sqrt((1.0 + x)) - Math.sqrt((1.0 - x));
}
public static double code(double x) {
return (x + x) / (Math.sqrt((x + 1.0)) + Math.sqrt((1.0 - x)));
}
def code(x): return math.sqrt((1.0 + x)) - math.sqrt((1.0 - x))
def code(x): return (x + x) / (math.sqrt((x + 1.0)) + math.sqrt((1.0 - x)))
function code(x) return Float64(sqrt(Float64(1.0 + x)) - sqrt(Float64(1.0 - x))) end
function code(x) return Float64(Float64(x + x) / Float64(sqrt(Float64(x + 1.0)) + sqrt(Float64(1.0 - x)))) end
function tmp = code(x) tmp = sqrt((1.0 + x)) - sqrt((1.0 - x)); end
function tmp = code(x) tmp = (x + x) / (sqrt((x + 1.0)) + sqrt((1.0 - x))); end
code[x_] := N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(N[(x + x), $MachinePrecision] / N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt{1 + x} - \sqrt{1 - x}
\frac{x + x}{\sqrt{x + 1} + \sqrt{1 - x}}
Results
| Original | 8.6% |
|---|---|
| Target | 100.0% |
| Herbie | 100.0% |
Initial program 8.6%
Applied egg-rr100.0%
[Start]8.6 | \[ \sqrt{1 + x} - \sqrt{1 - x}
\] |
|---|---|
flip-- [=>]8.6 | \[ \color{blue}{\frac{\sqrt{1 + x} \cdot \sqrt{1 + x} - \sqrt{1 - x} \cdot \sqrt{1 - x}}{\sqrt{1 + x} + \sqrt{1 - x}}}
\] |
div-inv [=>]8.6 | \[ \color{blue}{\left(\sqrt{1 + x} \cdot \sqrt{1 + x} - \sqrt{1 - x} \cdot \sqrt{1 - x}\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}}
\] |
add-sqr-sqrt [<=]8.6 | \[ \left(\color{blue}{\left(1 + x\right)} - \sqrt{1 - x} \cdot \sqrt{1 - x}\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
add-sqr-sqrt [<=]8.7 | \[ \left(\left(1 + x\right) - \color{blue}{\left(1 - x\right)}\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
associate--r- [=>]21.2 | \[ \color{blue}{\left(\left(\left(1 + x\right) - 1\right) + x\right)} \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
add-exp-log [=>]21.2 | \[ \left(\left(\color{blue}{e^{\log \left(1 + x\right)}} - 1\right) + x\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
expm1-udef [<=]21.2 | \[ \left(\color{blue}{\mathsf{expm1}\left(\log \left(1 + x\right)\right)} + x\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
log1p-def [=>]100.0 | \[ \left(\mathsf{expm1}\left(\color{blue}{\mathsf{log1p}\left(x\right)}\right) + x\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
expm1-log1p-u [<=]100.0 | \[ \left(\color{blue}{x} + x\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
Simplified100.0%
[Start]100.0 | \[ \left(x + x\right) \cdot \frac{1}{\sqrt{1 + x} + \sqrt{1 - x}}
\] |
|---|---|
associate-*r/ [=>]100.0 | \[ \color{blue}{\frac{\left(x + x\right) \cdot 1}{\sqrt{1 + x} + \sqrt{1 - x}}}
\] |
associate-/l* [=>]100.0 | \[ \color{blue}{\frac{x + x}{\frac{\sqrt{1 + x} + \sqrt{1 - x}}{1}}}
\] |
/-rgt-identity [=>]100.0 | \[ \frac{x + x}{\color{blue}{\sqrt{1 + x} + \sqrt{1 - x}}}
\] |
+-commutative [=>]100.0 | \[ \frac{x + x}{\sqrt{\color{blue}{x + 1}} + \sqrt{1 - x}}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 99.5% |
| Cost | 6784 |
| Alternative 2 | |
|---|---|
| Accuracy | 98.9% |
| Cost | 64 |
herbie shell --seed 2023126
(FPCore (x)
:name "bug333 (missed optimization)"
:precision binary64
:pre (and (<= -1.0 x) (<= x 1.0))
:herbie-target
(/ (* 2.0 x) (+ (sqrt (+ 1.0 x)) (sqrt (- 1.0 x))))
(- (sqrt (+ 1.0 x)) (sqrt (- 1.0 x))))