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Are you looking for new lectures for your course on algorithms, combinatorial optimization, or algorithmic game... Read More >>
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Experimental Game Theory is the first textbook to introduce the main concepts of game theory and to confront them... Read More >>
This bookconstitutes revised selected papers from the First International Workshop onMachine Learning, Optimization,... Read More >>
Surprisingly information systems are quite different fromconventional (energy, material-intensive) artificial systems,... Read More >>
Andreu Mas-Colell revolutionized our understanding of competitive markets, price formation, and the behavior of... Read More >>
Introduces the engineering details of power grid operations from the basic to the detailed; describing how to use... Read More >>
Dieses Lehrbuch ist eine einführende Darstellung verschiedener Verfahren des Entwurfs und der Analyse von Kommunikationsnetzen.... Read More >>
This book deals with optimization methods as tools for decision making and control in the presence of model uncertainty.... Read More >>
This book combines game theory and complex networks to examine intentional technological risk through modeling.... Read More >>
The present volume contains invited talks of 11th biennial conference on “Emerging Mathematical Methods, Models... Read More >>
This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are... Read More >>
The book is a research monograph on the mathematical and theoretical foundations of statistical inference. It derives... Read More >>
This textbook gives a comprehensive introduction to stochastic processes and calculus in the fields of finance and... Read More >>
Thanks to its synthetic yet meticulous and practice-oriented approach, the book is a perfect guide for graduate... Read More >>
The satellite range scheduling (SRS) problem, an important operations research problem in the aerospace industry... Read More >>
This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary... Read More >>
Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in... Read More >>
The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary... Read More >>
Nonlinear Optimization of Vehicle Safety Structures: Modeling of Structures Subjected to Large Deformations provides... Read More >>