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Uedu Open / Topics in Combinatorial Optimization
18.997

Topics in Combinatorial Optimization

Prof. Michel Goemans | Spring 2004
Business & Management Systems Thinking Data Science, Analytics & Computer Technology Computer Science Science & Math Mathematics Engineering Systems Engineering
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CC BY-NC-SA 4.0
Course introduction
In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with non-bipartite matchings and cover many results extending the fundamental results of matchings, flows and matroids. The emphasis is on the derivation of purely combinatorial results, including min-max relations, and not so much on the corresponding algorithmic questions of how to find such objects. The intended audience consists of Ph.D. students interested in optimization, combinatorics, or combinatorial algorithms.
Course Information
SourceMIT 開放式課程
DepartmentMathematics
LanguageEnglish
Number of videos0
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