Average Error: 0.0 → 0.0
Time: 3.7s
Precision: 64
\[\left(x \cdot x + y\right) + y\]
\[x \cdot x + \left(y + y\right)\]
\left(x \cdot x + y\right) + y
x \cdot x + \left(y + y\right)
double f(double x, double y) {
        double r35222325 = x;
        double r35222326 = r35222325 * r35222325;
        double r35222327 = y;
        double r35222328 = r35222326 + r35222327;
        double r35222329 = r35222328 + r35222327;
        return r35222329;
}

double f(double x, double y) {
        double r35222330 = x;
        double r35222331 = r35222330 * r35222330;
        double r35222332 = y;
        double r35222333 = r35222332 + r35222332;
        double r35222334 = r35222331 + r35222333;
        return r35222334;
}

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

Derivation

  1. Initial program 0.0

    \[\left(x \cdot x + y\right) + y\]
  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(x, x, y\right) + y}\]
  3. Using strategy rm
  4. Applied fma-udef0.0

    \[\leadsto \color{blue}{\left(x \cdot x + y\right)} + y\]
  5. Applied associate-+l+0.0

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

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

Reproduce

herbie shell --seed 2019163 +o rules:numerics
(FPCore (x y)
  :name "Data.Random.Distribution.Normal:normalTail from random-fu-0.2.6.2"

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

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