Global Optimization: Models and Algorithms
A concise review of the most important optimization model types and solution strategies, to solve multi-extremal optimization models. (Intermediate)

Nonlinear (Global and Local) Optimization in Modeling Environments
The speaker reviews several professional implementations of advanced nonlinear optimization software, with 'live' software demonstrations. (Intermediate)

Global Optimization: Advanced Applications
The speaker reviews interesting challenges and recent applications of global optimization in engineering and scientific studies, with demonstration program examples. (Intermediate)

Background:

• M.Sc. Applied Math - University of Sciences (ELTE), Budapest
• Ph.D. Stochastic Optimization - Moscow State (Lomonosow) University
• D.Sc. Mathematics - Hungarian Academy of Sciences

Author and editor of several books, numerous other publications in operations research and its applications. Winner of the 2000 INFORMS Computing Society Prize; Global Optimization Vice-Chair of the INFORMS Optimization Section (2002-2004). Editorial board member of the Journal of Global Optimization; the Journal of Applied Mathematics & Decision Sciences; Algorithmic Operations Research; Int. J. of Modeling Identification and Control; and of the websites GAMS Global World and GAMS Performance World.

Principal developer of the LGO, AIMMS/LGO, Excel PSP/LGO, GAMS/LGO, Maple Global Optimization Toolbox, MathOptimizer, MathOptimizer Professional , MPL/LGO, and TOMLAB/LGO software products for nonlinear (global and local) optimization.