Spring School on Convex Optimization 2014

The Department of Mathematics announces a spring school on convex optimization under the ICT COST action TD1207 of the European Union and the first meeting of the doctoral fellows of the MINO Initial Training Network. It is intended for people interested in the general field of nonlinear finite dimensional optimization.

MINO is a Marie Curie Initial Training Network funded by the European Union. Eleven Early-Stage Researchers (ESRs) and three Experienced Researchers (ERs) will be formed within this project, through an innovative and effective training programme based on individual, original research projects, combined with training in the field of Optimization and on complementary skills.

Complex decision-making in enterprises should involve mathematical optimization methods, because a “best choice” has to be made out of a huge number of feasible options. A mathematical description of such decision processes typically involves both “continuous” and “discrete” decisions. If the latter are present, the customary modeling approach is to use integer variables, which are also used to represent all possible nonlinearities, so that the remaining part of the model is linear.

The primary goal of this project is to train the next generation of highly qualified researchers and managers with expertise in Optimization in general and in Mixed-Integer Nonlinear Optimization in particular.

MINO Partners: University of Bologna, CNR Roma, CWI Amsterdam, ETH Zürich, IBM Italy, MAIOR Italy, ORTEC Netherlands, TU Dortmund, Université Catholique de Louvain-la-Neuve, Universität zu Köln, Universität Heidelberg, Alpen-Adria-Universität Klagenfurt, University of Tilburg, École Polytechnique Paris, Universität Erlangen-Nürnberg

The MINO Klagenfurt researchers: Malwina Duda and Franz Rendl

Spring School website: http://cost2014.aau.at/
MINO website: http://www.mino-itn.unibo.it/
COST website: http://cost-td1207.zib.de/

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Datum: Donnerstag, 13. März 2014 15:35
Trackback: Trackback-URL Themengebiet: Institut, MATH, Veranstaltung

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