Average Error: 0.0 → 0.0

Time: 1.3s

Precision: 64

\[0 \le x \le 2\]

\[x + x \cdot x\]

↓

\[x \cdot x + x\]

x + x \cdot x

↓

x \cdot x + x

double f(double x) {
        double r9269775 = x;
        double r9269776 = r9269775 * r9269775;
        double r9269777 = r9269775 + r9269776;
        return r9269777;
}

↓

double f(double x) {
        double r9269778 = x;
        double r9269779 = r9269778 * r9269778;
        double r9269780 = r9269779 + r9269778;
        return r9269780;
}

Error

The X axis uses an exponential scale — Bits error versus `x`

Try it out

In
Out

Enter valid numbers for all inputs

Target

Original	0.0
Target	0.0
Herbie	0.0

\[\left(1.0 + x\right) \cdot x\]

Derivation

Initial program 0.0
\[x + x \cdot x\]
Final simplification0.0
\[\leadsto x \cdot x + x\]

Reproduce

herbie shell --seed 2019104 
(FPCore (x)
  :name "Expression 2, p15"
  :pre (<= 0 x 2)

  :herbie-target
  (* (+ 1.0 x) x)

  (+ x (* x x)))