Average Error: 0.0 → 0.0
Time: 9.6s
Precision: 64
\[\left(x + y\right) \cdot \left(x - y\right)\]
↓
\[{x}^{2} - {y}^{2}\]
\left(x + y\right) \cdot \left(x - y\right)
↓
{x}^{2} - {y}^{2}
double f(double x, double y) {
        double r120057 = x;
        double r120058 = y;
        double r120059 = r120057 + r120058;
        double r120060 = r120057 - r120058;
        double r120061 = r120059 * r120060;
        return r120061;
}
↓
double f(double x, double y) {
        double r120062 = x;
        double r120063 = 2.0;
        double r120064 = pow(r120062, r120063);
        double r120065 = y;
        double r120066 = pow(r120065, r120063);
        double r120067 = r120064 - r120066;
        return r120067;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\left(x + y\right) \cdot \left(x - y\right)\]
  2. Using strategy rm

  3. Applied pow10.0

    \[\leadsto \left(x + y\right) \cdot \color{blue}{{\left(x - y\right)}^{1}}\]

  4. Applied pow10.0

    \[\leadsto \color{blue}{{\left(x + y\right)}^{1}} \cdot {\left(x - y\right)}^{1}\]

  5. Applied pow-prod-down0.0

    \[\leadsto \color{blue}{{\left(\left(x + y\right) \cdot \left(x - y\right)\right)}^{1}}\]

  6. Simplified0.0

    \[\leadsto {\color{blue}{\left({x}^{2} - {y}^{2}\right)}}^{1}\]

  7. Final simplification0.0

    \[\leadsto {x}^{2} - {y}^{2}\]

Reproduce

herbie shell --seed 2019323 
(FPCore (x y)
  :name "Examples.Basics.BasicTests:f1 from sbv-4.4"
  :precision binary64
  (* (+ x y) (- x y)))