Average Error: 0.0 → 0.0
Time: 9.1s
Precision: 64
\[x \cdot \left(x - 1\right)\]
\[x \cdot x + x \cdot \left(-1\right)\]
x \cdot \left(x - 1\right)
x \cdot x + x \cdot \left(-1\right)
double f(double x) {
        double r261733 = x;
        double r261734 = 1.0;
        double r261735 = r261733 - r261734;
        double r261736 = r261733 * r261735;
        return r261736;
}

double f(double x) {
        double r261737 = x;
        double r261738 = r261737 * r261737;
        double r261739 = 1.0;
        double r261740 = -r261739;
        double r261741 = r261737 * r261740;
        double r261742 = r261738 + r261741;
        return r261742;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.0
Target0.0
Herbie0.0
\[x \cdot x - x\]

Derivation

  1. Initial program 0.0

    \[x \cdot \left(x - 1\right)\]
  2. Using strategy rm
  3. Applied sub-neg0.0

    \[\leadsto x \cdot \color{blue}{\left(x + \left(-1\right)\right)}\]
  4. Applied distribute-lft-in0.0

    \[\leadsto \color{blue}{x \cdot x + x \cdot \left(-1\right)}\]
  5. Final simplification0.0

    \[\leadsto x \cdot x + x \cdot \left(-1\right)\]

Reproduce

herbie shell --seed 2019323 
(FPCore (x)
  :name "Statistics.Correlation.Kendall:numOfTiesBy from math-functions-0.1.5.2"
  :precision binary64

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

  (* x (- x 1)))