Average Error: 16.7 → 0.0
Time: 21.3s
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 r649099 = x;
        double r649100 = 1.0;
        double r649101 = r649100 - r649099;
        double r649102 = y;
        double r649103 = r649100 - r649102;
        double r649104 = r649101 * r649103;
        double r649105 = r649099 + r649104;
        return r649105;
}

double f(double x, double y) {
        double r649106 = y;
        double r649107 = x;
        double r649108 = 1.0;
        double r649109 = r649107 - r649108;
        double r649110 = fma(r649106, r649109, r649108);
        return r649110;
}

Error

Bits error versus x

Bits error versus y

Target

Original16.7
Target0.0
Herbie0.0
\[y \cdot x - \left(y - 1\right)\]

Derivation

  1. Initial program 16.7

    \[x + \left(1 - x\right) \cdot \left(1 - y\right)\]
  2. Simplified16.7

    \[\leadsto \color{blue}{\mathsf{fma}\left(1 - y, 1 - x, x\right)}\]
  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 2020042 +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))))