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In the early fifties, applied mathematicians, engineers and economists started to pay c10se attention to the optimization... Read More >>
Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have... Read More >>
Game theory, defined in the broadest sense, is a collection of mathematical models designed for the analysis of... Read More >>
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising... Read More >>
Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and... Read More >>
Along with a complete overview of production systems, this book investigates several production line problems and... Read More >>
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Unified treatment covers topics from the theory of operators and operator algebras on Hilbert spaces; integration... Read More >>
It was generally believed that the study of probability theory was started by Pascal and Fermat in 1654 when they... Read More >>
La proposta nasce dalla constatazione dell'importanza dell'approccio quantitativo a problemi di rilevanza quotidiana... Read More >>
This book offers a method based on asymptotic analysis aimed at combining techniques of homogenization and approximation... Read More >>
Kalman filter, particle filter, IMM, PDA, ITS, random sets... The number of useful object-tracking methods is exploding.... Read More >>
An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications... Read More >>
Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are... Read More >>