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Global Optimization and Constraint Satisfaction

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Cover of 'Global Optimization and Constraint Satisfaction'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient Pruning Technique Based on Linear Relaxations
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    Chapter 2 Inter-block Backtracking: Exploiting the Structure in Continuous CSPs
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    Chapter 3 Accelerating Consistency Techniques and Prony’s Method for Reliable Parameter Estimation of Exponential Sums
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    Chapter 4 Convex Programming Methods for Global Optimization
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    Chapter 5 A Method for Global Optimization of Large Systems of Quadratic Constraints
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    Chapter 6 A Comparison of Methods for the Computation of Affine Lower Bound Functions for Polynomials
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    Chapter 7 Using a Cooperative Solving Approach to Global Optimization Problems
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    Chapter 8 Global Optimization of Convex Multiplicative Programs by Duality Theory
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    Chapter 9 High-Fidelity Models in Global Optimization
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    Chapter 10 Incremental Construction of the Robot’s Environmental Map Using Interval Analysis
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    Chapter 11 Nonlinear Predictive Control Using Constraints Satisfaction
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    Chapter 12 Gas Turbine Model-Based Robust Fault Detection Using a Forward – Backward Test
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    Chapter 13 Benchmarking on Approaches to Interval Observation Applied to Robust Fault Detection
Attention for Chapter 8: Global Optimization of Convex Multiplicative Programs by Duality Theory
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Chapter title
Global Optimization of Convex Multiplicative Programs by Duality Theory
Chapter number 8
Book title
Global Optimization and Constraint Satisfaction
Published by
Springer, Berlin, Heidelberg, November 2003
DOI 10.1007/11425076_8
Book ISBNs
978-3-54-026003-5, 978-3-54-032041-8
Authors

Rúbia M. Oliveira, Paulo A. V. Ferreira, Oliveira, Rúbia M., Ferreira, Paulo A. V.

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