Average Error: 0.0 → 0.0
Time: 3.1s
Precision: binary64
\[\left(x + y\right) \cdot \left(1 - z\right)\]
\[\left(y + x\right) - \left(y \cdot z + x \cdot z\right)\]
\left(x + y\right) \cdot \left(1 - z\right)
\left(y + x\right) - \left(y \cdot z + x \cdot z\right)
(FPCore (x y z) :precision binary64 (* (+ x y) (- 1.0 z)))
(FPCore (x y z) :precision binary64 (- (+ y x) (+ (* y z) (* x z))))
double code(double x, double y, double z) {
	return (x + y) * (1.0 - z);
}
double code(double x, double y, double z) {
	return (y + x) - ((y * z) + (x * 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-neg_binary640.0

    \[\leadsto \left(x + y\right) \cdot \color{blue}{\left(1 + \left(-z\right)\right)}\]
  4. Applied distribute-rgt-in_binary640.0

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

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

    \[\leadsto \left(y + x\right) + \color{blue}{\left(-z \cdot \left(y + x\right)\right)}\]
  7. Using strategy rm
  8. Applied distribute-rgt-in_binary640.0

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

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

Alternatives

Reproduce

herbie shell --seed 2021118 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, H"
  :precision binary64
  (* (+ x y) (- 1.0 z)))