Name | Prof. Dr. Rico Zenklusen |
Field | Mathematics |
Address | Institut für Operations Research ETH Zürich, HG G 22.4 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telephone | +41 44 633 93 42 |
ricoz@ethz.ch | |
URL | https://math.ethz.ch/ifor/groups/zenklusen_group/rico-zenklusen.html |
Department | Mathematics |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
401-4904-00L | Combinatorial Optimization | 6 credits | 2V + 1U | R. Zenklusen | |
Abstract | Combinatorial Optimization deals with efficiently finding a provably strong solution among a finite set of options. This course discusses key combinatorial structures and techniques to design efficient algorithms for combinatorial optimization problems. We put a strong emphasis on polyhedral methods, which proved to be a powerful and unifying tool throughout combinatorial optimization. | ||||
Objective | The goal of this lecture is to get a thorough understanding of various modern combinatorial optimization techniques with an emphasis on polyhedral approaches. Students will learn a general toolbox to tackle a wide range of combinatorial optimization problems. | ||||
Content | Key topics include: - Polyhedral descriptions; - Combinatorial uncrossing; - Ellipsoid method; - Equivalence between separation and optimization; - Design of efficient approximation algorithms for hard problems. | ||||
Lecture notes | Not available. | ||||
Literature | - Bernhard Korte, Jens Vygen: Combinatorial Optimization. 5th edition, Springer, 2012. - Alexander Schrijver: Combinatorial Optimization: Polyhedra and Efficiency, Springer, 2003. This work has 3 volumes. | ||||
Prerequisites / Notice | We recommend that students interested in Combinatorial Optimization first attend the course "Mathematical Optimization" (401-3901-00L). | ||||
401-5900-00L | Optimization Seminar | 0 credits | 1K | R. Zenklusen | |
Abstract | Lectures on current topics in optimization. | ||||
Objective | This lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization. | ||||
Content | This seminar is a forum for researchers interested in optimization theory and its applications. Speakers, invited from both academic and non-academic institutions, are expected to stimulate discussions on theoretical and applied aspects of optimization and related subjects. The focus is on efficient (or practical) algorithms for continuous and discrete optimization problems, complexity analysis of algorithms and associated decision problems, approximation algorithms, mathematical modeling and solution procedures for real-world optimization problems in science, engineering, industries, public sectors etc. |