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Summer Graduate Workshop
Algebraic, Geometric, and Combinatorial Methods for Optimization
Aug 2, 2010
to
Aug 13, 2010
Organizer(s)Matthias Köppe (University of California, Davis) and Jiawang Nie (University of California, San Diego)
ContactThis workshop is intended to introduce to graduate students the main ideas of algebraic, geometric and combinatorial methods in global optimization. We emphasize the major developments in the past few years from two viewpoints. The first one is that of the interaction of semidefinite programming and real algebraic geometry and includes topics such as linear matrix inequalities, positive polynomials, and sums of squares. The second viewpoint is that of primal methods and generating function methods in integer linear and nonlinear optimization.
The workshop consists of four parts of lectures and corresponding tutorials and computer experimentation with computer software in the area. Week 1 -- Schedule Week 1 (PDF) The first part (Jiawang Nie, University of California, San Diego) introduces the basic theory of semidefinite programming, which includes convex sets and linear matrix inequalities, duality theory, optimality conditions, and applications such as in control and optimization. We will also introduce how to use the existing software for solving semidefinite programming problems. Lecture Notes Week 1 Nie (PDF), Homework Assigments Week 1 (PDF) The second part (Greg Blekherman, Virginia Tech) introduces positive polynomials, sum of squares, basic real algebraic geometry, and its connections to semidefinite programming. The applications will also be covered. Existing software will be introduced. Lecture Notes Week 1 Blekherman (PDF) Week 2 -- Schedule Week 2 (PDF) The third part (Shmuel Onn, Technion - Israel Institute of Technology) concentrates on primal methods of integer linear and nonlinear optimization, such as the theory of test sets, in particular the recent advances in Graver basis methods. The fourth part (Matthias Köppe, University of California, Davis) is on tools from the geometry of numbers, with a focus on rational generating function techniques for integer programming. We introduce lattices, the LLL algorithm, Lenstra's algorithm for integer programming in fixed dimension, Barvinok's theory of short rational generating functions, and the summation method for polynomial integer programming. Lecture Notes Week 2 Koeppe (PDF) Teaching assistants: Cynthia Vinzant, University of California, Berkeley and Amitabh Basu, University of California, Davis Bibliography (PDF) Bibliography 2 (PDF)
Questions about this workshop should be sent either by email to
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The Institute is committed to the principles of Equal Opportunity and Affirmative Action. |
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