| Alternative 1 | |
|---|---|
| Error | 0.7 |
| Cost | 6976 |
\[0.5 \cdot \mathsf{log1p}\left(\left(2 \cdot x + 2\right) \cdot x\right)
\]
(FPCore (x) :precision binary64 (* 0.5 (log1p (/ (* 2.0 x) (- 1.0 x)))))
(FPCore (x) :precision binary64 (* 0.5 (log1p (* (/ 2.0 (- 1.0 x)) x))))
double code(double x) {
return 0.5 * log1p(((2.0 * x) / (1.0 - x)));
}
double code(double x) {
return 0.5 * log1p(((2.0 / (1.0 - x)) * x));
}
public static double code(double x) {
return 0.5 * Math.log1p(((2.0 * x) / (1.0 - x)));
}
public static double code(double x) {
return 0.5 * Math.log1p(((2.0 / (1.0 - x)) * x));
}
def code(x): return 0.5 * math.log1p(((2.0 * x) / (1.0 - x)))
def code(x): return 0.5 * math.log1p(((2.0 / (1.0 - x)) * x))
function code(x) return Float64(0.5 * log1p(Float64(Float64(2.0 * x) / Float64(1.0 - x)))) end
function code(x) return Float64(0.5 * log1p(Float64(Float64(2.0 / Float64(1.0 - x)) * x))) end
code[x_] := N[(0.5 * N[Log[1 + N[(N[(2.0 * x), $MachinePrecision] / N[(1.0 - x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
code[x_] := N[(0.5 * N[Log[1 + N[(N[(2.0 / N[(1.0 - x), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
0.5 \cdot \mathsf{log1p}\left(\frac{2 \cdot x}{1 - x}\right)
0.5 \cdot \mathsf{log1p}\left(\frac{2}{1 - x} \cdot x\right)
Results
Initial program 0.0
Applied egg-rr0.0
Final simplification0.0
| Alternative 1 | |
|---|---|
| Error | 0.7 |
| Cost | 6976 |
| Alternative 2 | |
|---|---|
| Error | 1.4 |
| Cost | 6720 |
| Alternative 3 | |
|---|---|
| Error | 64.0 |
| Cost | 6592 |
herbie shell --seed 2023065
(FPCore (x)
:name "Rust f64::atanh"
:precision binary64
(* 0.5 (log1p (/ (* 2.0 x) (- 1.0 x)))))