Average Error: 0.0 → 0.0
Time: 10.4s
Precision: 64
\[\left(x + y\right) \cdot \left(x + y\right)\]
\[x \cdot \left(x + y\right) + \left(x + y\right) \cdot y\]
\left(x + y\right) \cdot \left(x + y\right)
x \cdot \left(x + y\right) + \left(x + y\right) \cdot y
double f(double x, double y) {
        double r724143 = x;
        double r724144 = y;
        double r724145 = r724143 + r724144;
        double r724146 = r724145 * r724145;
        return r724146;
}

double f(double x, double y) {
        double r724147 = x;
        double r724148 = y;
        double r724149 = r724147 + r724148;
        double r724150 = r724147 * r724149;
        double r724151 = r724149 * r724148;
        double r724152 = r724150 + r724151;
        return r724152;
}

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. Simplified0.0

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

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

Reproduce

herbie shell --seed 2020047 +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)))