Support Cardinality Constraints with Logical Expressions

[pulsipher]

Support Cardinality Constraints with Logical Expressions

[pulsipher]

Can you illustrate what you mean with having logical expressions as the arguments? Is this to avoid defining a Boolean variable for the logical expression and using that Boolean in the cardinality constraint?

Yes, this could potentially avoid adding unnecessary Boolean variables. Instead of

model = GDPModel()
@variable(model, y[1:2], Logical)
@variable(model, w, Logical)
@constraint(model, w == y[1] ⟹ y[2] := true)
@constraint(model, [w, y[1]] in AtMost(1))

we could do

model = GDPModel()
@variable(model, y[1:2], Logical)
@constraint(model, [y[1] ⟹ y[2], y[1]] in AtMost(1))

Of course, I know reformulating this might lead to extra Boolean variables anyways, but this is certainty a lot more convenient/concise for the user.

[hdavid16]

Can you illustrate what you mean with having logical expressions as the arguments? Is this to avoid defining a Boolean variable for the logical expression and using that Boolean in the cardinality constraint?