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Deterministic Global Optimization

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Cover of 'Deterministic Global Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Basic Concepts of Global Optimization
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    Chapter 3 The GOP Primal — Relaxed Dual Decomposition Approach : Theory
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    Chapter 4 The GOP Approach : Implementation and Computational Studies
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    Chapter 5 The GOP Approach in Bilevel Linear and Quadratic Problems
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    Chapter 6 The GOP Approach in Phase and Chemical Equilibrium Problems
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    Chapter 7 The GOP Approach : Distributed Implementation
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    Chapter 8 Generalized Geometric Programming : Theory
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    Chapter 9 Generalized Geometric Programming : Computational Studies
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    Chapter 10 From Biconvex to General Twice Differentiable NLPs
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    Chapter 11 The α BB Approach for Box Constrained Twice-Differentiable NLPs : Theory
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    Chapter 12 The α BB Approach for General Constrained Twice-Differentiable NLPs : Theory
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    Chapter 13 Computational Studies of the α BB Approach
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    Chapter 14 Global Optimization in Microclusters
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    Chapter 15 The α BB Approach in Molecular Structure Prediction
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    Chapter 16 The α BB Approach in Protein Folding
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    Chapter 17 The α BB Approach in Peptide Docking
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    Chapter 18 The α BB Approach in Batch Design under Uncertainty
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    Chapter 19 The α BB Approach in Parameter Estimation
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    Chapter 20 Introduction to Nonlinear and Mixed-Integer Optimization
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    Chapter 21 The SMIN- α BB Approach : Theory and Computations
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    Chapter 22 The GMIN- α BB Approach : Theory and Computations
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    Chapter 23 All Solutions of Nonlinear Constrained Systems of Equations
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    Chapter 24 Locating All Homogeneous Azeotropes
Attention for Chapter 24: Locating All Homogeneous Azeotropes
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Chapter title
Locating All Homogeneous Azeotropes
Chapter number 24
Book title
Deterministic Global Optimization
Published by
Springer, Boston, MA, January 2000
DOI 10.1007/978-1-4757-4949-6_24
Book ISBNs
978-1-4419-4820-5, 978-1-4757-4949-6
Authors

Christodoulos A. Floudas