Conferences  >  Mathematics  >  Optimization Theory, Operational Research

CIRM – Centre International de Rencontres Mathématiques

Ergodic optimization is a general framework in dynamical system where an observable is understood through its minimum over the set of invariant probability measures. A measure that attained that minimum is called minimizing. The general question is to understand the set of minimizing measures and more generally the set of minimizing orbits. One possible approach is to see minimizing measures as ground states, that is as limits of Gibbs measures at zero temperature. Gibbs measures are eigensolutions of the Ruelle operator or the transfer operator. We intend to study such questions in the framework of skew products of dynamical systems where the base dynamics is random (ergodic and invertible) and the fiber dynamics is a composition of maps indexed by a random environment. The problem of optimizing an observable in a random environment is new and has not yet been studied.

TU Wien, Research Unit for Variational Analysis, Dynamics and Operations Research

A well established conference on Optimal Control (ODF, PDE), Dynamic Games/Mean Field Games, Continuous Optimization; Shape Optimization, Mathematical Economics, and Industrial Applications. The organisation committee is lead by Aris Daniilidis. The conference features invited speakers, 5 parallel sessions over 4 days and contributed talks and posters. Registration opens January 2025.

Event Secretariat;     Email: vc2025@tuwien.ac.at

Optimal Control (ODF, PDE), Dynamic Games/Mean Field Games, Continuous Optimization, Shape Optimization, Mathematical Economics, Industrial Applications

Systems theory, Control and Automation,    Applied Mathematics (in general)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Geometry and Topology,    Neural Networks and Artificial Intelligence, Machine Learning

This PhD School is part of the broader CWI Research Semester Programme on Learning Enhanced Optimization, contributing to its overarching mission of advancing cutting-edge research in theoretical computer science, operations research and beyond.

Courses and Events for Math Students and Early Career Researchers,    Neural Networks and Artificial Intelligence, Machine Learning

The Latin American Algorithms, Graphs, and Optimization Symposium (LAGOS) is a biennial event that brings together researchers and practitioners from around the world. Since 2001, LAGOS has served as a key forum for the exchange of ideas and collaboration. It is the merger of two Latin American conferences: the Brazilian Symposium on Graphs, Algorithms, and Combinatorics (GRACO) and the Latin American Conference on Combinatorics, Graphs, and Applications (LACGA).

Algorithms and Data Structures,    Graph Theory and Combinatorics

MIP South America is supported by the Mixed Integer Programming Society (MIPS), a section of the Mathematical Optimization Society (MOS).

The Mixed Integer Programming (MIP) Workshop is a single-track workshop highlighting the latest trends in integer programming and discrete optimization, with speakers chosen by invitation. It brings together researchers, students, and industry actors from around the globe, fostering collaboration and providing a showcase for students, early career academics, and developments in industry and novel applications. In this edition, we are putting a special focus on bringing a considerable number of speakers based in different countries of South America.

Algorithms and Data Structures,    Courses and Events for Math Students and Early Career Researchers