Average Error: 0.0 → 0.0
Time: 25.1s
Precision: 64
\[0 \le x \le 2\]
\[x \cdot \left(x \cdot x\right) + x \cdot x\]
\[x \cdot \mathsf{fma}\left(x, x, x\right)\]
x \cdot \left(x \cdot x\right) + x \cdot x
x \cdot \mathsf{fma}\left(x, x, x\right)
double f(double x) {
        double r3444338 = x;
        double r3444339 = r3444338 * r3444338;
        double r3444340 = r3444338 * r3444339;
        double r3444341 = r3444340 + r3444339;
        return r3444341;
}

double f(double x) {
        double r3444342 = x;
        double r3444343 = fma(r3444342, r3444342, r3444342);
        double r3444344 = r3444342 * r3444343;
        return r3444344;
}

Error

Bits error versus x

Target

Original0.0
Target0.0
Herbie0.0
\[\left(\left(1.0 + x\right) \cdot x\right) \cdot x\]

Derivation

  1. Initial program 0.0

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

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

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

Reproduce

herbie shell --seed 2019139 +o rules:numerics
(FPCore (x)
  :name "Expression 3, p15"
  :pre (<= 0 x 2)

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

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