Average Error: 0.4 → 0.2
Time: 2.9s
Precision: 64
\[x + \left(\left(y - x\right) \cdot 6\right) \cdot \left(\frac{2}{3} - z\right)\]
↓
\[\left(4 \cdot y - 3 \cdot x\right) + \left(\left(y - x\right) \cdot \left(-z\right)\right) \cdot 6\]
x + \left(\left(y - x\right) \cdot 6\right) \cdot \left(\frac{2}{3} - z\right)
↓
\left(4 \cdot y - 3 \cdot x\right) + \left(\left(y - x\right) \cdot \left(-z\right)\right) \cdot 6
double f(double x, double y, double z) {
        double r215508 = x;
        double r215509 = y;
        double r215510 = r215509 - r215508;
        double r215511 = 6.0;
        double r215512 = r215510 * r215511;
        double r215513 = 2.0;
        double r215514 = 3.0;
        double r215515 = r215513 / r215514;
        double r215516 = z;
        double r215517 = r215515 - r215516;
        double r215518 = r215512 * r215517;
        double r215519 = r215508 + r215518;
        return r215519;
}
↓
double f(double x, double y, double z) {
        double r215520 = 4.0;
        double r215521 = y;
        double r215522 = r215520 * r215521;
        double r215523 = 3.0;
        double r215524 = x;
        double r215525 = r215523 * r215524;
        double r215526 = r215522 - r215525;
        double r215527 = r215521 - r215524;
        double r215528 = z;
        double r215529 = -r215528;
        double r215530 = r215527 * r215529;
        double r215531 = 6.0;
        double r215532 = r215530 * r215531;
        double r215533 = r215526 + r215532;
        return r215533;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

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Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.4

    \[x + \left(\left(y - x\right) \cdot 6\right) \cdot \left(\frac{2}{3} - z\right)\]
  2. Using strategy rm

  3. Applied associate-*l*0.2

    \[\leadsto x + \color{blue}{\left(y - x\right) \cdot \left(6 \cdot \left(\frac{2}{3} - z\right)\right)}\]
  4. Using strategy rm

  5. Applied sub-neg0.2

    \[\leadsto x + \left(y - x\right) \cdot \left(6 \cdot \color{blue}{\left(\frac{2}{3} + \left(-z\right)\right)}\right)\]

  6. Applied distribute-rgt-in0.2

    \[\leadsto x + \left(y - x\right) \cdot \color{blue}{\left(\frac{2}{3} \cdot 6 + \left(-z\right) \cdot 6\right)}\]

  7. Applied distribute-lft-in0.2

    \[\leadsto x + \color{blue}{\left(\left(y - x\right) \cdot \left(\frac{2}{3} \cdot 6\right) + \left(y - x\right) \cdot \left(\left(-z\right) \cdot 6\right)\right)}\]

  8. Applied associate-+r+0.2

    \[\leadsto \color{blue}{\left(x + \left(y - x\right) \cdot \left(\frac{2}{3} \cdot 6\right)\right) + \left(y - x\right) \cdot \left(\left(-z\right) \cdot 6\right)}\]

  9. Simplified0.2

    \[\leadsto \color{blue}{\left(x + \left(\frac{2}{3} \cdot 6\right) \cdot \left(y - x\right)\right)} + \left(y - x\right) \cdot \left(\left(-z\right) \cdot 6\right)\]

  10. Taylor expanded around 0 0.2

    \[\leadsto \color{blue}{\left(4 \cdot y - 3 \cdot x\right)} + \left(y - x\right) \cdot \left(\left(-z\right) \cdot 6\right)\]
  11. Using strategy rm

  12. Applied associate-*r*0.2

    \[\leadsto \left(4 \cdot y - 3 \cdot x\right) + \color{blue}{\left(\left(y - x\right) \cdot \left(-z\right)\right) \cdot 6}\]

  13. Final simplification0.2

    \[\leadsto \left(4 \cdot y - 3 \cdot x\right) + \left(\left(y - x\right) \cdot \left(-z\right)\right) \cdot 6\]

Reproduce

herbie shell --seed 2020060 
(FPCore (x y z)
  :name "Data.Colour.RGBSpace.HSL:hsl from colour-2.3.3, D"
  :precision binary64
  (+ x (* (* (- y x) 6) (- (/ 2 3) z))))