Average Error: 0.0 → 0.0
Time: 9.6s
Precision: 64
\[\left(x + y\right) \cdot \left(x + y\right)\]
\[y \cdot \left(2 \cdot x + y\right) + x \cdot x\]
\left(x + y\right) \cdot \left(x + y\right)
y \cdot \left(2 \cdot x + y\right) + x \cdot x
double f(double x, double y) {
        double r414190 = x;
        double r414191 = y;
        double r414192 = r414190 + r414191;
        double r414193 = r414192 * r414192;
        return r414193;
}

double f(double x, double y) {
        double r414194 = y;
        double r414195 = 2.0;
        double r414196 = x;
        double r414197 = r414195 * r414196;
        double r414198 = r414197 + r414194;
        double r414199 = r414194 * r414198;
        double r414200 = r414196 * r414196;
        double r414201 = r414199 + r414200;
        return r414201;
}

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. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{{x}^{2} + \left({y}^{2} + 2 \cdot \left(x \cdot y\right)\right)}\]
  3. Simplified0.0

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

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

Reproduce

herbie shell --seed 2019303 
(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)))