Average Error: 0.0 → 0.0
Time: 1.4s
Precision: binary64
\[\left(x + y\right) \cdot \left(1 - z\right)\]
↓
\[\left(x + y\right) \cdot 1 - \left(x + y\right) \cdot z\]
\left(x + y\right) \cdot \left(1 - z\right)
↓
\left(x + y\right) \cdot 1 - \left(x + y\right) \cdot z
double code(double x, double y, double z) {
	return ((double) (((double) (x + y)) * ((double) (1.0 - z))));
}
↓
double code(double x, double y, double z) {
	return ((double) (((double) (((double) (x + y)) * 1.0)) - ((double) (((double) (x + y)) * z))));
}

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. Final simplification0.0

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

Reproduce

herbie shell --seed 2020196 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1.0 z)))