| Alternative 1 | |
|---|---|
| Accuracy | 99.0% |
| Cost | 64 |
\[x
\]
(FPCore (x) :precision binary64 (- (sqrt (+ 1.0 x)) (sqrt (- 1.0 x))))
(FPCore (x) :precision binary64 (+ x (* 0.125 (pow x 3.0))))
double code(double x) {
return sqrt((1.0 + x)) - sqrt((1.0 - x));
}
double code(double x) {
return x + (0.125 * pow(x, 3.0));
}
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 + (0.125d0 * (x ** 3.0d0))
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 + (0.125 * Math.pow(x, 3.0));
}
def code(x): return math.sqrt((1.0 + x)) - math.sqrt((1.0 - x))
def code(x): return x + (0.125 * math.pow(x, 3.0))
function code(x) return Float64(sqrt(Float64(1.0 + x)) - sqrt(Float64(1.0 - x))) end
function code(x) return Float64(x + Float64(0.125 * (x ^ 3.0))) end
function tmp = code(x) tmp = sqrt((1.0 + x)) - sqrt((1.0 - x)); end
function tmp = code(x) tmp = x + (0.125 * (x ^ 3.0)); end
code[x_] := N[(N[Sqrt[N[(1.0 + x), $MachinePrecision]], $MachinePrecision] - N[Sqrt[N[(1.0 - x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(x + N[(0.125 * N[Power[x, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\sqrt{1 + x} - \sqrt{1 - x}
x + 0.125 \cdot {x}^{3}
Results
| Original | 8.5% |
|---|---|
| Target | 100.0% |
| Herbie | 99.5% |
Initial program 8.5%
Taylor expanded in x around 0 99.5%
Final simplification99.5%
| Alternative 1 | |
|---|---|
| Accuracy | 99.0% |
| Cost | 64 |
herbie shell --seed 2023137
(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))))