Average Error: 0.0 → 0.0
Time: 5.6s
Precision: 64
\[2 \cdot \left(x \cdot x + x \cdot y\right)\]
\[\left(2 \cdot x\right) \cdot \left(x + y\right)\]
2 \cdot \left(x \cdot x + x \cdot y\right)
\left(2 \cdot x\right) \cdot \left(x + y\right)
double f(double x, double y) {
        double r600087 = 2.0;
        double r600088 = x;
        double r600089 = r600088 * r600088;
        double r600090 = y;
        double r600091 = r600088 * r600090;
        double r600092 = r600089 + r600091;
        double r600093 = r600087 * r600092;
        return r600093;
}

double f(double x, double y) {
        double r600094 = 2.0;
        double r600095 = x;
        double r600096 = r600094 * r600095;
        double r600097 = y;
        double r600098 = r600095 + r600097;
        double r600099 = r600096 * r600098;
        return r600099;
}

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. Using strategy rm
  3. Applied distribute-lft-out0.0

    \[\leadsto 2 \cdot \color{blue}{\left(x \cdot \left(x + y\right)\right)}\]
  4. Applied associate-*r*0.0

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

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

Reproduce

herbie shell --seed 2020043 +o rules:numerics
(FPCore (x y)
  :name "Linear.Matrix:fromQuaternion from linear-1.19.1.3, B"
  :precision binary64

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

  (* 2 (+ (* x x) (* x y))))