Average Error: 0.0 → 0.0
Time: 8.4s
Precision: 64
\[\left(x \cdot x + y\right) + y\]
\[\mathsf{fma}\left(y, 2, x \cdot x\right)\]
\left(x \cdot x + y\right) + y
\mathsf{fma}\left(y, 2, x \cdot x\right)
double f(double x, double y) {
        double r774441 = x;
        double r774442 = r774441 * r774441;
        double r774443 = y;
        double r774444 = r774442 + r774443;
        double r774445 = r774444 + r774443;
        return r774445;
}

double f(double x, double y) {
        double r774446 = y;
        double r774447 = 2.0;
        double r774448 = x;
        double r774449 = r774448 * r774448;
        double r774450 = fma(r774446, r774447, r774449);
        return r774450;
}

Error

Bits error versus x

Bits error versus y

Target

Original0.0
Target0.0
Herbie0.0
\[\left(y + y\right) + x \cdot x\]

Derivation

  1. Initial program 0.0

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

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

    \[\leadsto \color{blue}{{x}^{2} + 2 \cdot y}\]
  4. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(y, 2, x \cdot x\right)}\]
  5. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(y, 2, x \cdot x\right)\]

Reproduce

herbie shell --seed 2020046 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalTail from random-fu-0.2.6.2"
  :precision binary64

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

  (+ (+ (* x x) y) y))