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Positive polynomials and convergence of LP and SDP relaxations

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Abstract:
Suppose you want to minimize a real polynomial function on a set defined by polynomial equalities and inequalities. How to find good linear or semidefinite programming relaxations to this problem? Results on representations of positive polynomials have a great impact on how this question has to be answered for a given concrete problem. We want to present a few vocabularies in the dictionary between real algebra and optimization.

Type of Seminar:
Public Seminar
Speaker:
Dr. Markus Schweighofer
Fachbereich Mathematik und Statistik, Universität Konstanz
Date/Time:
May 31, 2005   17:00
Location:

ETH Zentrum, ETZL K 25
Contact Person:

Ioannis Fotiou
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Biographical Sketch:
- comes from Bavarian Forest
- studied mathematics with a minor in computer science at Universität Passau
- Ph.D. in Real Algebra with Prof. Prestel in Konstanz, 2002
- Academic year 2002/2003 post doc in Rennes
- Since then member of the Real Geometry and Algebra group in Konstanz