Abstract

We investigate lifting, i.e., the process of taking a valid inequality and using it to construct a valid inequality in a higher dimensional space. Lifting is usually applied sequentially; variables in a set are lifted one after the other. This is computationally unattractive since it involves the solution of an optimization problem to compute a lifting coefficient for each variable. To relieve this computational burden, we study the potential of sequence independent lifting techniques.KeywordsLift CoefficientValid InequalityVariable PairCover InequalityLift FunctionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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