| Alternative 1 | |
|---|---|
| Error | 28.4 |
| Cost | 1472 |
\[\frac{-1 + \left(x + \frac{\left(x + 1\right) \cdot \left(-1 - x\right)}{x}\right)}{\frac{x + 1}{x} \cdot \left(-1 + x\right)}
\]
(FPCore (x) :precision binary64 (- (/ x (+ x 1.0)) (/ (+ x 1.0) (- x 1.0))))
(FPCore (x) :precision binary64 (/ (+ -1.0 (+ x (* (+ x 1.0) (/ (- -1.0 x) x)))) (* (/ (+ x 1.0) x) (+ -1.0 x))))
double code(double x) {
return (x / (x + 1.0)) - ((x + 1.0) / (x - 1.0));
}
double code(double x) {
return (-1.0 + (x + ((x + 1.0) * ((-1.0 - x) / x)))) / (((x + 1.0) / x) * (-1.0 + x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x / (x + 1.0d0)) - ((x + 1.0d0) / (x - 1.0d0))
end function
real(8) function code(x)
real(8), intent (in) :: x
code = ((-1.0d0) + (x + ((x + 1.0d0) * (((-1.0d0) - x) / x)))) / (((x + 1.0d0) / x) * ((-1.0d0) + x))
end function
public static double code(double x) {
return (x / (x + 1.0)) - ((x + 1.0) / (x - 1.0));
}
public static double code(double x) {
return (-1.0 + (x + ((x + 1.0) * ((-1.0 - x) / x)))) / (((x + 1.0) / x) * (-1.0 + x));
}
def code(x): return (x / (x + 1.0)) - ((x + 1.0) / (x - 1.0))
def code(x): return (-1.0 + (x + ((x + 1.0) * ((-1.0 - x) / x)))) / (((x + 1.0) / x) * (-1.0 + x))
function code(x) return Float64(Float64(x / Float64(x + 1.0)) - Float64(Float64(x + 1.0) / Float64(x - 1.0))) end
function code(x) return Float64(Float64(-1.0 + Float64(x + Float64(Float64(x + 1.0) * Float64(Float64(-1.0 - x) / x)))) / Float64(Float64(Float64(x + 1.0) / x) * Float64(-1.0 + x))) end
function tmp = code(x) tmp = (x / (x + 1.0)) - ((x + 1.0) / (x - 1.0)); end
function tmp = code(x) tmp = (-1.0 + (x + ((x + 1.0) * ((-1.0 - x) / x)))) / (((x + 1.0) / x) * (-1.0 + x)); end
code[x_] := N[(N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision] - N[(N[(x + 1.0), $MachinePrecision] / N[(x - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_] := N[(N[(-1.0 + N[(x + N[(N[(x + 1.0), $MachinePrecision] * N[(N[(-1.0 - x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(x + 1.0), $MachinePrecision] / x), $MachinePrecision] * N[(-1.0 + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\frac{x}{x + 1} - \frac{x + 1}{x - 1}
\frac{-1 + \left(x + \left(x + 1\right) \cdot \frac{-1 - x}{x}\right)}{\frac{x + 1}{x} \cdot \left(-1 + x\right)}
Results
Initial program 29.5
Applied egg-rr29.2
Applied egg-rr30.3
Simplified28.4
Applied egg-rr25.4
Final simplification25.4
| Alternative 1 | |
|---|---|
| Error | 28.4 |
| Cost | 1472 |
| Alternative 2 | |
|---|---|
| Error | 29.2 |
| Cost | 1088 |
| Alternative 3 | |
|---|---|
| Error | 29.5 |
| Cost | 832 |
herbie shell --seed 2022334
(FPCore (x)
:name "Asymptote C"
:precision binary64
(- (/ x (+ x 1.0)) (/ (+ x 1.0) (- x 1.0))))