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Mathematical optimization

Most popular at the top

  • Stochastic Global Optimizationby Anatoly A. Zhigljavsky; Antanas Zilinskas

    Springer 2007; US$ 109.00

    This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; the topics include the basic principles and methods of global random search, statistical inference in random search, Markovian and population-based random search methods, methods based on statistical... more...

  • Foundations of Generic Optimizationby Robert Lowen; Alain Verschoren

    Springer 2007; US$ 119.00

    This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field. more...

  • Feasibility and Infeasibility in Optimizationby John W. Chinneck

    Springer 2007; US$ 149.00

    Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power... more...

  • Invexity and Optimizationby Shashi Kant Mishra; Giorgio Giorgi

    Springer 2008; US$ 179.00

    Invexity and Optimization presents results on invex function and their properties in smooth and nonsmooth cases, pseudolinearity and eta-pseudolinearity. Results on optimality and duality for a nonlinear scalar programming problem are presented, second and higher order duality results are given for a nonlinear scalar programming problem, and saddle... more...

  • Metaheuristicsby Karl F. Doerner; Michel Gendreau; Peter Greistorfer

    Springer 2007; US$ 149.00

    Aims to provide several different kinds of information: a delineation of general metaheuristics methods, a number of articles from a variety of well-known classical application areas as well as an outlook to modern computational methods. This book serves as a reference for people interested in engineering or social sciences. more...

  • Mathematics of Optimizationby Giorgio Giorgi; A. Guerraggio; J. Thierfelder

    Elsevier Science 2004; US$ 210.00

    The book is intended for people (graduates, researchers, but also undergraduates with a good mathematical background) involved in the study of (static) optimization problems (in finite-dimensional spaces). It contains a lot of material, from basic tools of convex analysis to optimality conditions for smooth optimization problems, for non smooth optimization... more...

  • Fermat Days 85by J.-B. Hiriart-Urruty

    Elsevier Science 1986; US$ 72.95

    Optimization, as examined here, ranges from differential equations to problems arising in Mechanics and Statistics. The main topics covered are: calculations of variations and nonlinear elasticity, optimal control, analysis and optimization in problems dealing with nondifferentiable data, duality techniques, algorithms in mathematical programming and... more...

  • Generalized Convexity and Vector Optimizationby Shashi Kant Mishra; Shou Yang Wang; Kin Keung Lai

    Springer 2008; US$ 179.00

    Discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. This book also discusses Wolfe-type Duality, Mond-Weir type Duality, and Mixed type Duality for Multiobjective optimization problems such as Nonlinear programming problems. more...

  • Reactive Search and Intelligent Optimizationby Roberto Battiti; Mauro Brunato; Franco Mascia

    Springer 2008; US$ 139.00

    Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts, effectively learning by doing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online... more...

  • Nested Partitions Optimizationby Sigurdur Ëlafsson

    Springer 2008; US$ 119.00

    The Nested Partitions (NP) framework is an innovative mix of traditional optimization methodology and probabilistic assumptions. This book provides a research tool to use for large-scale, complex systems optimization. It aims to provide an optimization framework with which researchers can discover various hybrid optimization methods. more...