Average Error: 0.0 → 0.0
Time: 1.1s
Precision: binary64
\[\left(x + y\right) \cdot \left(z + 1\right)\]
\[\left(x + y\right) + \left(x + y\right) \cdot z\]
\left(x + y\right) \cdot \left(z + 1\right)
\left(x + y\right) + \left(x + y\right) \cdot z
(FPCore (x y z) :precision binary64 (* (+ x y) (+ z 1.0)))
(FPCore (x y z) :precision binary64 (+ (+ x y) (* (+ x y) z)))
double code(double x, double y, double z) {
	return (x + y) * (z + 1.0);
}
double code(double x, double y, double z) {
	return (x + y) + ((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

    \[\left(x + y\right) \cdot \left(z + 1\right)\]
  2. Using strategy rm
  3. Applied distribute-lft-in_binary640.0

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

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

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

Reproduce

herbie shell --seed 2020224 
(FPCore (x y z)
  :name "Optimisation.CirclePacking:place from circle-packing-0.1.0.4, G"
  :precision binary64
  (* (+ x y) (+ z 1.0)))