Optimization on Low Rank Nonconvex Structures by Hiroshi Konno
Global optimization is one of the fastest developing fields in mathematical optimization. In fact, an increasing number of remarkably efficient deterministic algorithms have been proposed in the last ten years for solving several classes of large scale specially structured problems encountered in such areas as chemical engineering, financial engineering, location and network optimization, production and inventory control, engineering design, computational geometry, and multi-objective and multi-level optimization. These new developments motivated the authors to write a new book devoted to global optimization problems with special structures. Most of these problems, though highly nonconvex, can be characterized by the property that they reduce to convex minimization problems when some of the variables are fixed. A number of recently developed algorithms have been proved surprisingly efficient for handling typical classes of problems exhibiting such structures, namely low rank nonconvex structures. Audience: The book will serve as a fundamental reference book for all those who are interested in mathematical optimization.-
If God Spare My Life
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Convexification and Global Optimization in Continuous and Mixed-Integer Nonlinear Programming
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Topological Aspects of Nonsmooth Optimization
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Variational and Hemivariational Inequalities Theory, Methods and Applications
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Bi-Level Strategies in Semi-Infinite Programming
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Nonconvex Optimization in Mechanics
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Nondifferentiable Optimization and Polynomial Problems
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Deterministic Global Optimization
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Stochastic Decomposition
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Stochastic Adaptive Search for Global Optimization
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Minimax Theorems and Qualitative Properties of the Solutions of Hemivariational Inequalities
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Optimization Methods for a Stakeholder Society
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Smooth Nonlinear Optimization in Rn
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Equilibrium Problems and Variational Models
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Noniterative Coordination in Multilevel Systems
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Frontiers in Global Optimization
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Generalized Convexity and Vector Optimization
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Global Optimization with Non-Convex Constraints
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Optimum Design 2000
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Minimax and Applications
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Nonlinear Optimization in Finite Dimensions
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Generalized Convexity, Generalized Monotonicity: Recent Results
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Quasidifferentiability and Nonsmooth Modelling in Mechanics, Engineering and Economics
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Advances in Convex Analysis and Global Optimization
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Semi-Infinite Programming
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An Introduction to Minimax Theorems and Their Applications to Differential Equations
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From Convexity to Nonconvexity
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Practical Bilevel Optimization
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Stochastic Approximation and Its Applications
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Optimization in Computational Chemistry and Molecular Biology
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Equilibrium Problems: Nonsmooth Optimization and Variational Inequality Models
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Variational and Non-variational Methods in Nonlinear Analysis and Boundary Value Problems
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Developments in Global Optimization
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Finite Element Method for Hemivariational Inequalities
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Advances in Optimization and Approximation
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Complementarity, Equilibrium, Efficiency and Economics
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Introduction to the Theory of Games
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Abstract Convexity and Global Optimization
`Overall this is a book which can be recommended to anyone who wishes to know more about the incrteasingly important area of global optimization'
Mathematical Reviews, 98i
Mathematical Reviews, 98i
| SKU | Unavailable |
| ISBN 13 | 9781461368359 |
| ISBN 10 | 1461368359 |
| Title | Optimization on Low Rank Nonconvex Structures |
| Author | Hiroshi Konno |
| Series | Nonconvex Optimization And Its Applications |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2013-11-26 |
| Number of pages | 460 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |