Deterministic Global Optimization by Daniel Scholz
This book examines geometric branch-and-bound methods, such as in Lipschitzian optimization, d.c. programming and interval analysis, introduces a new concept for the rate of convergence and also analyzes several bounding operations reported in the literature.-
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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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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Optimization on Low Rank Nonconvex Structures
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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
From the reviews:
“This little book gives a unified treatment and current state of affairs of geometric branch-and-bound methods for global optimization in low dimensions and their applications… a valuable tool for anyone interested in the solution of low-dimensional global optimization problems. The whole text is very carefully written with special attention given to the introduction of economical notation and corresponding definitions that considerably shorten the arguments. This is particularly useful for students, but also for the working specialist.” (Frank Plastria, Mathematical Reviews, September, 2013)
“The book presents a collection of papers by Scholz and other authors, supplemented with some auxiliary material and discussion, and includes new details, newly edited text, and revised proofs. … an expert in global optimization and an intended user of global optimization software would benefit from owning this book on geometric B&B methods, which a recognized expert has researched.” (Antanas Zilinskas, Interfaces, Vol. 43 (1), 2013)
| SKU | Unavailable |
| ISBN 13 | 9781489995551 |
| ISBN 10 | 1489995552 |
| Title | Deterministic Global Optimization |
| Author | Daniel Scholz |
| Series | Nonconvex Optimization And Its Applications |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2014-01-25 |
| Number of pages | 142 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |