Average Error: 16.6 → 0.0
Time: 20.2s
Precision: 64
\[x + \left(1 - x\right) \cdot \left(1 - y\right)\]
\[\mathsf{fma}\left(y, x - 1, 1\right)\]
x + \left(1 - x\right) \cdot \left(1 - y\right)
\mathsf{fma}\left(y, x - 1, 1\right)
double f(double x, double y) {
        double r342485 = x;
        double r342486 = 1.0;
        double r342487 = r342486 - r342485;
        double r342488 = y;
        double r342489 = r342486 - r342488;
        double r342490 = r342487 * r342489;
        double r342491 = r342485 + r342490;
        return r342491;
}

double f(double x, double y) {
        double r342492 = y;
        double r342493 = x;
        double r342494 = 1.0;
        double r342495 = r342493 - r342494;
        double r342496 = fma(r342492, r342495, r342494);
        return r342496;
}

Error

Bits error versus x

Bits error versus y

Target

Original16.6
Target0.0
Herbie0.0
\[y \cdot x - \left(y - 1\right)\]

Derivation

  1. Initial program 16.6

    \[x + \left(1 - x\right) \cdot \left(1 - y\right)\]
  2. Simplified16.5

    \[\leadsto \color{blue}{\mathsf{fma}\left(1 - y, 1 - x, x\right)}\]
  3. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{\left(x \cdot y + 1\right) - 1 \cdot y}\]
  4. Simplified0.0

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

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

Reproduce

herbie shell --seed 2019325 +o rules:numerics
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Plot.Vectors:renderPlotVectors from Chart-1.5.3"
  :precision binary64

  :herbie-target
  (- (* y x) (- y 1))

  (+ x (* (- 1 x) (- 1 y))))