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Modeling and Optimization: Theory and Applications

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Cover of 'Modeling and Optimization: Theory and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Approximate Bayesian inference for simulation and optimization
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    Chapter 2 Optimization for Power Systems and the Smart Grid
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    Chapter 3 Semidefinite Approaches for MIQCP: Convex Relaxations and Practical Methods
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    Chapter 4 A few strong knapsack facets
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    Chapter 5 On the Performance of SQP Methods for Nonlinear Optimization
Attention for Chapter 3: Semidefinite Approaches for MIQCP: Convex Relaxations and Practical Methods
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