Average Error: 0.1 → 0.1
Time: 15.0s
Precision: 64
\[x \cdot \left(y + z\right) + z \cdot 5\]
\[x \cdot y + z \cdot \left(x + 5\right)\]
x \cdot \left(y + z\right) + z \cdot 5
x \cdot y + z \cdot \left(x + 5\right)
double f(double x, double y, double z) {
        double r372055 = x;
        double r372056 = y;
        double r372057 = z;
        double r372058 = r372056 + r372057;
        double r372059 = r372055 * r372058;
        double r372060 = 5.0;
        double r372061 = r372057 * r372060;
        double r372062 = r372059 + r372061;
        return r372062;
}

double f(double x, double y, double z) {
        double r372063 = x;
        double r372064 = y;
        double r372065 = r372063 * r372064;
        double r372066 = z;
        double r372067 = 5.0;
        double r372068 = r372063 + r372067;
        double r372069 = r372066 * r372068;
        double r372070 = r372065 + r372069;
        return r372070;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.1
Target0.1
Herbie0.1
\[\left(x + 5\right) \cdot z + x \cdot y\]

Derivation

  1. Initial program 0.1

    \[x \cdot \left(y + z\right) + z \cdot 5\]
  2. Using strategy rm
  3. Applied distribute-lft-in0.1

    \[\leadsto \color{blue}{\left(x \cdot y + x \cdot z\right)} + z \cdot 5\]
  4. Applied associate-+l+0.1

    \[\leadsto \color{blue}{x \cdot y + \left(x \cdot z + z \cdot 5\right)}\]
  5. Simplified0.1

    \[\leadsto x \cdot y + \color{blue}{z \cdot \left(x + 5\right)}\]
  6. Final simplification0.1

    \[\leadsto x \cdot y + z \cdot \left(x + 5\right)\]

Reproduce

herbie shell --seed 2019303 
(FPCore (x y z)
  :name "Graphics.Rendering.Plot.Render.Plot.Legend:renderLegendOutside from plot-0.2.3.4, C"
  :precision binary64

  :herbie-target
  (+ (* (+ x 5) z) (* x y))

  (+ (* x (+ y z)) (* z 5)))