Average Error: 0.0 → 0.0

Time: 22.5s

Precision: 64

\[0.0 \le x \le 2\]

\[x + x \cdot x\]

↓

\[x \cdot x + x\]

x + x \cdot x

↓

x \cdot x + x

double f(double x) {
        double r4787414 = x;
        double r4787415 = r4787414 * r4787414;
        double r4787416 = r4787414 + r4787415;
        return r4787416;
}

↓

double f(double x) {
        double r4787417 = x;
        double r4787418 = r4787417 * r4787417;
        double r4787419 = r4787418 + r4787417;
        return r4787419;
}

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

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

Derivation

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

Reproduce

herbie shell --seed 2019171 
(FPCore (x)
  :name "Expression 2, p15"
  :pre (<= 0.0 x 2.0)

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

  (+ x (* x x)))