Bases: Transformation
This transformation finds disjunctive state (indicator_var values)
in the given GDP, and, for any Disjunction, when the state fully
determines what Disjunct will be selected, it reclassifies all the Disjuncts
of the Disjunction as Blocks, and activates or deactivates them according
to whether their indicator_vars are set (or implied to be set) as
‘True’ or ‘False’ (respectively).
Note that this transformation does not necessarily return a MI(N)LP since
it will not transform Disjunctions that are not fully determined by the
current state. Be careful in partially-transformed states to remember that
if even one DisjunctData in an IndexedDisjunct is reclassified as a Block,
all of the DisjunctDatas will be as well. It is strongly recommended to not use
DisjunctDatas from a single IndexedDisjunction in multiple Disjunctions
if you will be working with the partially-transformed model.
If using ‘apply_to’ rather than ‘create_using’, this transformation is
reversible. Calling apply_to returns a token to reverse the transformation
In order to reverse the transformation, pass this token back to the
transformation as the ‘reverse’ argument.
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__init__(**kwds)
Methods
__init__(**kwds)
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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 |
Attributes
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