Average Error: 0.0 → 0.0
Time: 9.4s
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 r343943 = 2.0;
        double r343944 = x;
        double r343945 = r343944 * r343944;
        double r343946 = y;
        double r343947 = r343944 * r343946;
        double r343948 = r343945 - r343947;
        double r343949 = r343943 * r343948;
        return r343949;
}

double f(double x, double y) {
        double r343950 = x;
        double r343951 = y;
        double r343952 = r343950 - r343951;
        double r343953 = 2.0;
        double r343954 = r343952 * r343953;
        double r343955 = r343950 * r343954;
        return r343955;
}

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 2019347 +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))))