(FPCore (x y z) :precision binary64 (+ x (/ y (- (* 1.1283791670955126 (exp z)) (* x y)))))
(FPCore (x y z) :precision binary64 (+ x (/ -1.0 (fma (exp z) (/ -1.1283791670955126 y) x))))
double code(double x, double y, double z) {
return x + (y / ((1.1283791670955126 * exp(z)) - (x * y)));
}
double code(double x, double y, double z) {
return x + (-1.0 / fma(exp(z), (-1.1283791670955126 / y), x));
}
function code(x, y, z) return Float64(x + Float64(y / Float64(Float64(1.1283791670955126 * exp(z)) - Float64(x * y)))) end
function code(x, y, z) return Float64(x + Float64(-1.0 / fma(exp(z), Float64(-1.1283791670955126 / y), x))) end
code[x_, y_, z_] := N[(x + N[(y / N[(N[(1.1283791670955126 * N[Exp[z], $MachinePrecision]), $MachinePrecision] - N[(x * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_] := N[(x + N[(-1.0 / N[(N[Exp[z], $MachinePrecision] * N[(-1.1283791670955126 / y), $MachinePrecision] + x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
x + \frac{y}{1.1283791670955126 \cdot e^{z} - x \cdot y}
x + \frac{-1}{\mathsf{fma}\left(e^{z}, \frac{-1.1283791670955126}{y}, x\right)}




Bits error versus x




Bits error versus y




Bits error versus z
| Original | 3.0 |
|---|---|
| Target | 0.0 |
| Herbie | 0.0 |
Initial program 3.0
Simplified0.0
Final simplification0.0
herbie shell --seed 2022131
(FPCore (x y z)
:name "Numeric.SpecFunctions:invErfc from math-functions-0.1.5.2, A"
:precision binary64
:herbie-target
(+ x (/ 1.0 (- (* (/ 1.1283791670955126 y) (exp z)) x)))
(+ x (/ y (- (* 1.1283791670955126 (exp z)) (* x y)))))