Average Error: 0.0 → 0.0
Time: 659.0ms
Precision: 64
\[\left(x \cdot y + x\right) + y\]
\[\mathsf{fma}\left(x + 1, y, x\right)\]
\left(x \cdot y + x\right) + y
\mathsf{fma}\left(x + 1, y, x\right)
double f(double x, double y) {
        double r92470 = x;
        double r92471 = y;
        double r92472 = r92470 * r92471;
        double r92473 = r92472 + r92470;
        double r92474 = r92473 + r92471;
        return r92474;
}

double f(double x, double y) {
        double r92475 = x;
        double r92476 = 1.0;
        double r92477 = r92475 + r92476;
        double r92478 = y;
        double r92479 = fma(r92477, r92478, r92475);
        return r92479;
}

Error

Bits error versus x

Bits error versus y

Derivation

  1. Initial program 0.0

    \[\left(x \cdot y + x\right) + y\]
  2. Simplified0.0

    \[\leadsto \color{blue}{y + \mathsf{fma}\left(x, y, x\right)}\]
  3. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{x + \left(y + x \cdot y\right)}\]
  4. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x + 1, y, x\right)}\]
  5. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(x + 1, y, x\right)\]

Reproduce

herbie shell --seed 2020001 +o rules:numerics
(FPCore (x y)
  :name "Numeric.Log:$cexpm1 from log-domain-0.10.2.1, B"
  :precision binary64
  (+ (+ (* x y) x) y))