Average Error: 0.0 → 0.0
Time: 1.2s
Precision: binary64
\[x \cdot y + z \cdot t\]
↓
\[x \cdot y + z \cdot t\]
x \cdot y + z \cdot t
↓
x \cdot y + z \cdot t
double code(double x, double y, double z, double t) {
	return ((double) (((double) (x * y)) + ((double) (z * t))));
}
↓
double code(double x, double y, double z, double t) {
	return ((double) (((double) (x * y)) + ((double) (z * t))));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[x \cdot y + z \cdot t\]

  2. Final simplification0.0

    \[\leadsto x \cdot y + z \cdot t\]

Reproduce

herbie shell --seed 2020150 
(FPCore (x y z t)
  :name "Linear.V2:$cdot from linear-1.19.1.3, A"
  :precision binary64
  (+ (* x y) (* z t)))