Average Error: 0.2 → 0.1
Time: 18.3s
Precision: 64
\[\left(x \cdot 3\right) \cdot y - z\]
↓
\[\mathsf{fma}\left(3, y \cdot x, -z\right)\]
\left(x \cdot 3\right) \cdot y - z
↓
\mathsf{fma}\left(3, y \cdot x, -z\right)
double f(double x, double y, double z) {
        double r32637741 = x;
        double r32637742 = 3.0;
        double r32637743 = r32637741 * r32637742;
        double r32637744 = y;
        double r32637745 = r32637743 * r32637744;
        double r32637746 = z;
        double r32637747 = r32637745 - r32637746;
        return r32637747;
}
↓
double f(double x, double y, double z) {
        double r32637748 = 3.0;
        double r32637749 = y;
        double r32637750 = x;
        double r32637751 = r32637749 * r32637750;
        double r32637752 = z;
        double r32637753 = -r32637752;
        double r32637754 = fma(r32637748, r32637751, r32637753);
        return r32637754;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Target

Original0.2
Target0.2
Herbie0.1
\[x \cdot \left(3 \cdot y\right) - z\]

Derivation

  1. Initial program 0.2

    \[\left(x \cdot 3\right) \cdot y - z\]

  2. Taylor expanded around 0 0.1

    \[\leadsto \color{blue}{3 \cdot \left(x \cdot y\right)} - z\]
  3. Using strategy rm

  4. Applied fma-neg0.1

    \[\leadsto \color{blue}{\mathsf{fma}\left(3, x \cdot y, -z\right)}\]

  5. Final simplification0.1

    \[\leadsto \mathsf{fma}\left(3, y \cdot x, -z\right)\]

Reproduce

herbie shell --seed 2019172 +o rules:numerics
(FPCore (x y z)
  :name "Diagrams.Solve.Polynomial:cubForm  from diagrams-solve-0.1, B"

  :herbie-target
  (- (* x (* 3.0 y)) z)

  (- (* (* x 3.0) y) z))