Documentation

Optimization goals where min/max values might require assignments to values that are infinite (integer case), or infinite/epsilon (real case). This simple example demonstrates how SBV can be used to extract such values.

We have:

>>> optimize Independent problem
Objective "one-x": Optimal in an extension field:
  one-x =                    oo :: Integer
  min_y = 7.0 + (3.0 * epsilon) :: Real
  min_z = 5.0 + (2.0 * epsilon) :: Real
Objective "min_y": Optimal in an extension field:
  one-x =                    oo :: Integer
  min_y = 7.0 + (3.0 * epsilon) :: Real
  min_z = 5.0 + (2.0 * epsilon) :: Real
Objective "min_z": Optimal in an extension field:
  one-x =                    oo :: Integer
  min_y = 7.0 + (3.0 * epsilon) :: Real
  min_z = 5.0 + (2.0 * epsilon) :: Real