Design and Implementation of Some Effective Presolve Techniques for Linear Programming Solver
Abstract:
Presolve plays an important role in linear and mixed-integer programming optimization solvers. Effective presolvers can reduce model size significantly, detect infeasibility or unboundedness quickly, and tighten bounds of columns and rows. In this talk, design and implementation of some effective and practical presolve techniques for linear programming will be discussed.
Biography:
Longfei Wang is an engineer in Shenzhen Research Institute of Big Data. He has worked as an algorithm expert in AI department of Cainiao Network. He received master and bachelor degree from Peking University. His research interest covers optimization solver development, logistics system optimization and so on.
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