Name | Herr Prof. Dr. Rico Zenklusen |
Lehrgebiet | Mathematik |
Adresse | Institut für Operations Research ETH Zürich, HG G 22.4 Rämistrasse 101 8092 Zürich SWITZERLAND |
Telefon | +41 44 633 93 42 |
ricoz@ethz.ch | |
URL | https://math.ethz.ch/ifor/groups/zenklusen_group/rico-zenklusen.html |
Departement | Mathematik |
Beziehung | Ordentlicher Professor |
Nummer | Titel | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|
364-1058-00L | Risk Center Seminar Series Maximale Teilnehmerzahl: 50 | 0 KP | 2S | A. Bommier, D. Basin, D. N. Bresch, L.‑E. Cederman, P. Cheridito, P. Embrechts, H. Gersbach, H. R. Heinimann, M. Larsson, W. Mimra, G. Sansavini, F. Schweitzer, D. Sornette, B. Stojadinovic, B. Sudret, U. A. Weidmann, S. Wiemer, M. Zeilinger, R. Zenklusen | |
Kurzbeschreibung | This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling and governing complex socio-economic systems, and managing risks and crises. Students and other guests are welcome. | ||||
Lernziel | Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop novel mathematical models and approaches for open problems, to analyze them with computers or other means, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to work scientifically on an internationally competitive level. | ||||
Inhalt | This course is a mixture between a seminar primarily for PhD and postdoc students and a colloquium involving invited speakers. It consists of presentations and subsequent discussions in the area of modeling complex socio-economic systems and crises. For details of the program see the webpage of the seminar. Students and other guests are welcome. | ||||
Skript | There is no script, but the sessions will be recorded and be made available. Transparencies of the presentations may be put on the course webpage. | ||||
Literatur | Literature will be provided by the speakers in their respective presentations. | ||||
Voraussetzungen / Besonderes | Participants should have relatively good scientific, in particular mathematical skills and some experience of how scientific work is performed. | ||||
401-4904-00L | Combinatorial Optimization | 6 KP | 2V + 1U | R. Zenklusen | |
Kurzbeschreibung | 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. | ||||
Lernziel | 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. | ||||
Inhalt | Key topics include: - Polyhedral descriptions; - Combinatorial uncrossing; - Ellipsoid method; - Equivalence between separation and optimization; - Design of efficient approximation algorithms for hard problems. | ||||
Skript | Lecture notes will be available online. | ||||
Literatur | - Bernhard Korte, Jens Vygen: Combinatorial Optimization. 5th edition, Springer, 2012. - Alexander Schrijver: Combinatorial Optimization: Polyhedra and Efficiency, Springer, 2003. This work has 3 volumes. | ||||
Voraussetzungen / Besonderes | Prior exposure to Linear Programming can greatly help the understanding of the material. We therefore recommend that students interested in Combinatorial Optimization get familiarized with Linear Programming before taking this lecture. | ||||
401-5900-00L | Optimization Seminar | 0 KP | 1K | R. Weismantel, R. Zenklusen | |
Kurzbeschreibung | Lectures on current topics in optimization. | ||||
Lernziel | This lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization. | ||||
Inhalt | 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. |