Average Error: 5.4 → 0.1
Time: 2.6s
Precision: 64
\[x \cdot \left(1 + y \cdot y\right)\]
\[x \cdot 1 + \left(x \cdot y\right) \cdot y\]
x \cdot \left(1 + y \cdot y\right)
x \cdot 1 + \left(x \cdot y\right) \cdot y
double f(double x, double y) {
        double r538805 = x;
        double r538806 = 1.0;
        double r538807 = y;
        double r538808 = r538807 * r538807;
        double r538809 = r538806 + r538808;
        double r538810 = r538805 * r538809;
        return r538810;
}

double f(double x, double y) {
        double r538811 = x;
        double r538812 = 1.0;
        double r538813 = r538811 * r538812;
        double r538814 = y;
        double r538815 = r538811 * r538814;
        double r538816 = r538815 * r538814;
        double r538817 = r538813 + r538816;
        return r538817;
}

Error

Bits error versus x

Bits error versus y

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original5.4
Target0.1
Herbie0.1
\[x + \left(x \cdot y\right) \cdot y\]

Derivation

  1. Initial program 5.4

    \[x \cdot \left(1 + y \cdot y\right)\]
  2. Using strategy rm
  3. Applied distribute-lft-in5.4

    \[\leadsto \color{blue}{x \cdot 1 + x \cdot \left(y \cdot y\right)}\]
  4. Using strategy rm
  5. Applied associate-*r*0.1

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

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

Reproduce

herbie shell --seed 2019356 +o rules:numerics
(FPCore (x y)
  :name "Numeric.Integration.TanhSinh:everywhere from integration-0.2.1"
  :precision binary64

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

  (* x (+ 1 (* y y))))