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PreQLinearize
Presolve quadratic linearization
| Type: | int | |
|---|---|---|
| Default value: | -1 | |
| Minimum value: | -1 | |
| Maximum value: | 2 |
Controls presolve Q matrix linearization. Binary variables in quadratic expressions provide some freedom to state the same expression in multiple different ways. Options 1 and 2 of this parameter attempt to linearize quadratic constraints or a quadratic objective, replacing quadratic terms with linear terms, using additional variables and linear constraints. This can potentially transform an MIQP or MIQCP model into an MILP. Option 1 focuses on producing an MILP reformulation with a strong LP relaxation, with a goal of limiting the size of the MIP search tree. Option 2 aims for a compact reformulation, with a goal of reducing the cost of each node. Option 0 attempts to leave Q matrices unmodified; it won't add variables or constraints, but it may still perform adjustments on quadratic objective functions to make them positive semi-definite (PSD). The default setting (-1) chooses automatically.
Note: Only affects MIQP and MIQCP models
For examples of how to query or modify parameter values from our different APIs, refer to our Parameter Examples.
