Average Error: 0.0 → 0.0
Time: 2.7s
Precision: 64
\[2 \cdot \left(x \cdot x - x \cdot y\right)\]
\[x \cdot \left(\left(x - y\right) \cdot 2\right)\]
2 \cdot \left(x \cdot x - x \cdot y\right)
x \cdot \left(\left(x - y\right) \cdot 2\right)
double f(double x, double y) {
        double r410217 = 2.0;
        double r410218 = x;
        double r410219 = r410218 * r410218;
        double r410220 = y;
        double r410221 = r410218 * r410220;
        double r410222 = r410219 - r410221;
        double r410223 = r410217 * r410222;
        return r410223;
}

double f(double x, double y) {
        double r410224 = x;
        double r410225 = y;
        double r410226 = r410224 - r410225;
        double r410227 = 2.0;
        double r410228 = r410226 * r410227;
        double r410229 = r410224 * r410228;
        return r410229;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[\left(x \cdot 2\right) \cdot \left(x - y\right)\]

Derivation

  1. Initial program 0.0

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

    \[\leadsto \color{blue}{\left(x \cdot \left(x - y\right)\right) \cdot 2}\]
  3. Using strategy rm
  4. Applied associate-*l*0.0

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

    \[\leadsto x \cdot \left(\left(x - y\right) \cdot 2\right)\]

Reproduce

herbie shell --seed 2019350 +o rules:numerics
(FPCore (x y)
  :name "Linear.Matrix:fromQuaternion from linear-1.19.1.3, A"
  :precision binary64

  :herbie-target
  (* (* x 2) (- x y))

  (* 2 (- (* x x) (* x y))))