Copyright | (c) Levent Erkok |
---|---|
License | BSD3 |
Maintainer | erkokl@gmail.com |
Stability | experimental |
Safe Haskell | None |
Language | Haskell2010 |
Demonstrates model construction with auxiliary variables. Sometimes we
need to introduce a variable in our problem as an existential variable,
but it's "internal" to the problem and we do not consider it as part of
the solution. Also, in an allSat
scenario, we may not care for models
that only differ in these auxiliaries. SBV allows designating such variables
as isNonModelVar
so we can still use them like any other variable, but without
considering them explicitly in model construction.
Synopsis
Documentation
A simple predicate, based on two variables x
and y
, true when
0 <= x <= 1
and x - abs y
is 0
.
allModels :: IO AllSatResult Source #
Generate all satisfying assignments for our problem. We have:
>>>
allModels
Solution #1: x = 0 :: Integer y = 0 :: Integer Solution #2: x = 1 :: Integer y = 1 :: Integer Solution #3: x = 1 :: Integer y = -1 :: Integer Found 3 different solutions.
Note that solutions 2
and 3
share the value x = 1
, since there are
multiple values of y
that make this particular choice of x
satisfy our constraint.
modelsWithYAux :: IO AllSatResult Source #
Generate all satisfying assignments, but we first tell SBV that y
should not be considered
as a model problem, i.e., it's auxiliary. We have:
>>>
modelsWithYAux
Solution #1: x = 0 :: Integer Solution #2: x = 1 :: Integer Found 2 different solutions.
Note that we now have only two solutions, one for each unique value of x
that satisfy our
constraint.