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From Local to Global Optimization

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Cover of 'From Local to Global Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Convex Global Underestimation for Molecular Structure Prediction
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    Chapter 2 Bayesian Heuristic Approach (BHA) and Applications to Discrete Optimization
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    Chapter 3 A Finite Branch-and-Bound Method for Bilinear Hydro Power Scheduling
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    Chapter 4 Two Examples of Global Optimization by Means of Local Techniques
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    Chapter 5 Modelling Techniques for Nonlinear Pooling Problems
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    Chapter 6 Optimization and Hierarchies for Lumped Distributed Networks
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    Chapter 7 On Tuy’s 1964 Cone Splitting Algorithm for Concave Minimization
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    Chapter 8 The α BB Global Optimization Algorithm for Nonconvex Problems: An Overview
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    Chapter 9 Infimum of Polynomials and Singularity at Infinity
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    Chapter 10 Solving Global Optimization Problems with Baron
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    Chapter 11 D.C. Programming Approach to the Multidimensional Scaling Problem
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    Chapter 12 On Minimization of Sums of Heterogeneous Quadratic Functions on Stiefel Manifolds
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    Chapter 13 A Nonlinear Lagrangian Function for Discrete Optimization Problems
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    Chapter 14 Local and Global Behavior of Moving Polytope Algorithms
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    Chapter 15 Relational Complementarity Problem
Attention for Chapter 2: Bayesian Heuristic Approach (BHA) and Applications to Discrete Optimization
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Chapter title
Bayesian Heuristic Approach (BHA) and Applications to Discrete Optimization
Chapter number 2
Book title
From Local to Global Optimization
Published by
Springer, Boston, MA, January 2001
DOI 10.1007/978-1-4757-5284-7_2
Book ISBNs
978-1-4419-4852-6, 978-1-4757-5284-7
Authors

Jonas Mockus, Mockus, Jonas

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