Optimization
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Optimization: Algorithms and Applications
By Rajesh Kumar AroraThe book covers both gradient and stochastic methods as solution techniques for unconstrained and co
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Optimization: Foundations and Applications
By H. Ronald MillerAn Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon request from the Wileyeditorial department. A thorough and highly accessible resource for analysts in a broad range of social sciences.
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Optimization: Insights and Applications
By Jan Brinkhuis, Vladimir TikhomirovThe book can be used for courses on continuous optimization, from introductory to advanced, for any field for which optimization is relevant.
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Optimization: Theory and Practice
By Kannan M. Moudgalya, Mohan C. JoshiGives a detailed mathematical exposition to various optimization techniques. This book includes topics such as: Single and multi-dimensional optimization, Linear programming, Nonlinear constrained optimization and Evolutionary algorithms.
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Optimization: theory and practice
By Gordon S. G. BeveridgeOptimization: theory and practice
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Optimization: Theory and Practice
By Gordon S. G. Beveridge, S. G. Beveridge, Robert Samuel Schechter"In general, this presentation demonstrates the interrelationships between the various facets of optimization. These aspects range from the differential calculus through direct search and mathematical programming techniques to the more...
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Optimization: Structure and Applications
By Emma Hunt, Charles E.M. PearceThe 21 self-contained chapters in this book, include recent developments in several optimization-related topics such as decision theory, linear programming, turnpike theory, duality theory, convex analysis, and queueing theory.