Average Error: 45.4 → 0
Time: 4.6s
Precision: 64
\[\mathsf{fma}\left(x, y, z\right) - \left(1 + \left(x \cdot y + z\right)\right)\]
\[-1\]
\mathsf{fma}\left(x, y, z\right) - \left(1 + \left(x \cdot y + z\right)\right)
-1
double f(double x, double y, double z) {
        double r2094304 = x;
        double r2094305 = y;
        double r2094306 = z;
        double r2094307 = fma(r2094304, r2094305, r2094306);
        double r2094308 = 1.0;
        double r2094309 = r2094304 * r2094305;
        double r2094310 = r2094309 + r2094306;
        double r2094311 = r2094308 + r2094310;
        double r2094312 = r2094307 - r2094311;
        return r2094312;
}

double f(double __attribute__((unused)) x, double __attribute__((unused)) y, double __attribute__((unused)) z) {
        double r2094313 = 1.0;
        double r2094314 = -r2094313;
        return r2094314;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Target

Original45.4
Target0
Herbie0
\[-1\]

Derivation

  1. Initial program 45.4

    \[\mathsf{fma}\left(x, y, z\right) - \left(1 + \left(x \cdot y + z\right)\right)\]
  2. Simplified0

    \[\leadsto \color{blue}{-1}\]
  3. Final simplification0

    \[\leadsto -1\]

Reproduce

herbie shell --seed 2019174 +o rules:numerics
(FPCore (x y z)
  :name "simple fma test"

  :herbie-target
  -1.0

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