Average Error: 0.0 → 0.0
Time: 2.5s
Precision: 64
\[\left(x + y\right) \cdot \left(1 - z\right)\]
\[1 \cdot \left(x + y\right) + \left(-z\right) \cdot \left(x + y\right)\]
\left(x + y\right) \cdot \left(1 - z\right)
1 \cdot \left(x + y\right) + \left(-z\right) \cdot \left(x + y\right)
double f(double x, double y, double z) {
        double r45593 = x;
        double r45594 = y;
        double r45595 = r45593 + r45594;
        double r45596 = 1.0;
        double r45597 = z;
        double r45598 = r45596 - r45597;
        double r45599 = r45595 * r45598;
        return r45599;
}

double f(double x, double y, double z) {
        double r45600 = 1.0;
        double r45601 = x;
        double r45602 = y;
        double r45603 = r45601 + r45602;
        double r45604 = r45600 * r45603;
        double r45605 = z;
        double r45606 = -r45605;
        double r45607 = r45606 * r45603;
        double r45608 = r45604 + r45607;
        return r45608;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

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

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

    \[\leadsto \color{blue}{\left(x + y\right) \cdot 1 + \left(x + y\right) \cdot \left(-z\right)}\]
  5. Simplified0.0

    \[\leadsto \color{blue}{1 \cdot \left(x + y\right)} + \left(x + y\right) \cdot \left(-z\right)\]
  6. Simplified0.0

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

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

Reproduce

herbie shell --seed 2020062 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1 z)))