The advances in LP and MIP solver APIs during the last 30 years have made implementing column generation algorithms more accessible. However, the algorithm has some counterintuitive properties that can make it seem mysterious, such as reformulating a compact model into one with a huge number of variables that cannot all be stored in available computer memory.
Join us for this informative webinar hosted by Dr. Ed Klotz, Senior Mathematical Optimization Specialist at Gurobi, and Dr. Greg Glockner, Vice President and Technical Fellow at Gurobi. This webinar will try to provide an intuitive motivation for column generation to make the subsequent explanation of the underlying mathematics more accessible. While the presentation is primarily intended for those who are either unfamiliar with the concepts or find them challenging when exposed to them, those more familiar with column generation methods may still gain some new perspectives as well.
Vice President and Technical Fellow
Vice President and Technical Fellow
Dr. Gregory Glockner has a B.S. magna cum laude from Yale University in Applied Mathematics and Music, and an M.S. and Ph.D. in Operations Research from the Georgia Institute of Technology. His doctoral dissertation was awarded the 1997 Transportation Science Dissertation Prize from INFORMS.
Senior Mathematical Optimization Specialist
Senior Mathematical Optimization Specialist
Dr. Ed Klotz has nearly 30 years of experience in the mathematical optimization software industry. He is a technical expert who, over the course of his career, has worked with a wide array of customers to help them solve some of world’s most challenging mathematical optimization problems. In his role as a Senior Mathematical Optimization Specialist on the Gurobi R&D team, Dr. Klotz works closely with our customers to support them in implementing and utilizing mathematical optimization in their organizations.
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