Average Error: 0.0 → 0.0
Time: 8.3s
Precision: 64
\[\left(x + y\right) \cdot \left(x + y\right)\]
\[\left(x + y\right) \cdot x + \left(x + y\right) \cdot y\]
\left(x + y\right) \cdot \left(x + y\right)
\left(x + y\right) \cdot x + \left(x + y\right) \cdot y
double f(double x, double y) {
        double r492238 = x;
        double r492239 = y;
        double r492240 = r492238 + r492239;
        double r492241 = r492240 * r492240;
        return r492241;
}

double f(double x, double y) {
        double r492242 = x;
        double r492243 = y;
        double r492244 = r492242 + r492243;
        double r492245 = r492244 * r492242;
        double r492246 = r492244 * r492243;
        double r492247 = r492245 + r492246;
        return r492247;
}

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

Derivation

  1. Initial program 0.0

    \[\left(x + y\right) \cdot \left(x + y\right)\]
  2. Using strategy rm
  3. Applied distribute-lft-in0.0

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

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

Reproduce

herbie shell --seed 2019325 +o rules:numerics
(FPCore (x y)
  :name "Examples.Basics.BasicTests:f3 from sbv-4.4"
  :precision binary64

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

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