Bases: Transformation
Implements a special case of the transformation mentioned in [1] for
handling disjunctive constraints with common left-hand sides (i.e.,
Constraint bodies). Automatically detects univariate disjunctive
Constraints (bounds or equalities involving one variable), and
transforms them according to [1]. The transformed Constraints are
deactivated, but the remainder of the GDP is untouched. That is,
to completely transform the GDP, a GDP-to-MIP transformation is
needed that will transform the remaining disjunctive constraints as
well as any LogicalConstraints and the logic of the disjunctions
themselves.
NOTE: Because this transformation allows tighter bound values higher in
the GDP hierarchy to supersede looser ones that are lower, the transformed
model will not necessarily still be valid in the case that there are
mutable Params in disjunctive variable bounds or in the transformed
Constraints and the values of those mutable Params are later changed.
Similarly, if this transformation is called when Vars are fixed, it will
only be guaranteed to be valid when those Vars remain fixed to the same
values.
- [1] Egon Balas, “On the convex hull of the union of certain polyhedra,”
Operations Research Letters, vol. 7, 1988, pp. 279-283
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__init__()[source]
Methods
__init__()
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apply(model, **kwds)
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DEPRECATED. |
apply_to(model, **kwds)
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Apply the transformation to the given model. |
create_using(model, **kwds)
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Create a new model with this transformation |
get_transformed_constraints(v, disjunction)
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Attributes
CONFIG
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transformation_name
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Member Documentation
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apply(model, **kwds)
DEPRECATED.
Deprecated since version 4.3.11323: Transformation.apply() has been deprecated. Please use either Transformation.apply_to() for in-place transformations or Transformation.create_using() for transformations that create a new, independent transformed model instance.
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apply_to(model, **kwds)
Apply the transformation to the given model.
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create_using(model, **kwds)
Create a new model with this transformation