Average Error: 0.0 → 0.0
Time: 1.8s
Precision: 64
\[\left(x + y\right) \cdot \left(1 - z\right)\]
\[\left(1 \cdot \left(x + y\right) - x \cdot z\right) + y \cdot \left(-z\right)\]
\left(x + y\right) \cdot \left(1 - z\right)
\left(1 \cdot \left(x + y\right) - x \cdot z\right) + y \cdot \left(-z\right)
double f(double x, double y, double z) {
        double r44109 = x;
        double r44110 = y;
        double r44111 = r44109 + r44110;
        double r44112 = 1.0;
        double r44113 = z;
        double r44114 = r44112 - r44113;
        double r44115 = r44111 * r44114;
        return r44115;
}

double f(double x, double y, double z) {
        double r44116 = 1.0;
        double r44117 = x;
        double r44118 = y;
        double r44119 = r44117 + r44118;
        double r44120 = r44116 * r44119;
        double r44121 = z;
        double r44122 = r44117 * r44121;
        double r44123 = r44120 - r44122;
        double r44124 = -r44121;
        double r44125 = r44118 * r44124;
        double r44126 = r44123 + r44125;
        return r44126;
}

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. Using strategy rm
  8. Applied distribute-rgt-in0.0

    \[\leadsto 1 \cdot \left(x + y\right) + \color{blue}{\left(x \cdot \left(-z\right) + y \cdot \left(-z\right)\right)}\]
  9. Applied associate-+r+0.0

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

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

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

Reproduce

herbie shell --seed 2019352 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1 z)))