Average Error: 0.0 → 0.0
Time: 9.9s
Precision: 64
\[x \cdot \left(y + 1\right)\]
\[y \cdot x + x \cdot 1\]
x \cdot \left(y + 1\right)
y \cdot x + x \cdot 1
double f(double x, double y) {
        double r84206 = x;
        double r84207 = y;
        double r84208 = 1.0;
        double r84209 = r84207 + r84208;
        double r84210 = r84206 * r84209;
        return r84210;
}

double f(double x, double y) {
        double r84211 = y;
        double r84212 = x;
        double r84213 = r84211 * r84212;
        double r84214 = 1.0;
        double r84215 = r84212 * r84214;
        double r84216 = r84213 + r84215;
        return r84216;
}

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
\[x + x \cdot y\]

Derivation

  1. Initial program 0.0

    \[x \cdot \left(y + 1\right)\]
  2. Using strategy rm
  3. Applied distribute-lft-in0.0

    \[\leadsto \color{blue}{x \cdot y + x \cdot 1}\]
  4. Simplified0.0

    \[\leadsto \color{blue}{y \cdot x} + x \cdot 1\]
  5. Final simplification0.0

    \[\leadsto y \cdot x + x \cdot 1\]

Reproduce

herbie shell --seed 2019315 
(FPCore (x y)
  :name "Data.Colour.RGBSpace.HSL:hsl from colour-2.3.3, B"
  :precision binary64

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

  (* x (+ y 1)))