DisaggregatedLogarithmicMIPTransformation

(class from pyomo.contrib.piecewise.transform.disaggregated_logarithmic)

class pyomo.contrib.piecewise.transform.disaggregated_logarithmic.DisaggregatedLogarithmicMIPTransformation[source]

Bases: PiecewiseLinearTransformationBase

Represent a piecewise linear function “logarithmically” as a MIP.

This transformation represents a piecewise linear function “logarithmically” by using a MIP with \(log_2(|P|)\) binary decision variables, following the “disaggregated logarithmic” method from [VAN10].

This is a direct-to-MIP transformation; GDP is not used. This method of logarithmically formulating the piecewise linear function imposes no restrictions on the family of polytopes, but we assume we have simplices in this code.

__init__()

Methods

`__init__`()
`apply`(model, **kwds)	DEPRECATED.
`apply_to`(model, **kwds)	Apply the transformation to the given model.
`create_using`(model, **kwds)	Create a new model with this transformation

Attributes

CONFIG

Member Documentation

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.

apply_to(model, **kwds): Apply the transformation to the given model.

create_using(model, **kwds): Create a new model with this transformation