Average Error: 16.1 → 0.0
Time: 13.4s
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 r24355313 = x;
        double r24355314 = 1.0;
        double r24355315 = r24355314 - r24355313;
        double r24355316 = y;
        double r24355317 = r24355314 - r24355316;
        double r24355318 = r24355315 * r24355317;
        double r24355319 = r24355313 + r24355318;
        return r24355319;
}
↓
double f(double x, double y) {
        double r24355320 = y;
        double r24355321 = x;
        double r24355322 = 1.0;
        double r24355323 = r24355321 - r24355322;
        double r24355324 = fma(r24355320, r24355323, r24355322);
        return r24355324;
}

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

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

  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 2019169 +o rules:numerics
(FPCore (x y)
  :name "Graphics.Rendering.Chart.Plot.Vectors:renderPlotVectors from Chart-1.5.3"

  :herbie-target
  (- (* y x) (- y 1.0))

  (+ x (* (- 1.0 x) (- 1.0 y))))