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Handbook of Global Optimization

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Cover of 'Handbook of Global Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Conditions for Global Optimality
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    Chapter 2 Complexity Issues in Global Optimization: A Survey
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    Chapter 3 Concave Minimization: Theory, Applications and Algorithms
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    Chapter 4 D.C. Optimization: Theory, Methods and Algorithms
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    Chapter 5 Quadratic Optimization
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    Chapter 6 Complementarity Problems
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    Chapter 7 Minimax and Its Applications
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    Chapter 8 Multiplicative Programming Problems
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    Chapter 9 Lipschitz Optimization
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    Chapter 10 Fractional Programming
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    Chapter 11 Network Problems
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    Chapter 12 Trajectory Methods in Global Optimization
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    Chapter 13 Homotopy Methods
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    Chapter 14 Interval Methods
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    Chapter 15 Stochastic Methods
Attention for Chapter 9: Lipschitz Optimization
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