Average Error: 16.1 → 0.0
Time: 27.0s
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 r408152 = x;
        double r408153 = 1.0;
        double r408154 = r408153 - r408152;
        double r408155 = y;
        double r408156 = r408153 - r408155;
        double r408157 = r408154 * r408156;
        double r408158 = r408152 + r408157;
        return r408158;
}

double f(double x, double y) {
        double r408159 = y;
        double r408160 = x;
        double r408161 = 1.0;
        double r408162 = r408160 - r408161;
        double r408163 = fma(r408159, r408162, r408161);
        return r408163;
}

Error

Bits error versus x

Bits error versus y

Target

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

Derivation

  1. Initial program 16.1

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

    \[\leadsto \color{blue}{\mathsf{fma}\left(1 - y, 1 - x, x\right)}\]
  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 2019326 +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))))