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Computational Optimization

Overview of attention for book
Cover of 'Computational Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Guest Editorial
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    Chapter 2 Solving Euclidean Distance Matrix Completion Problems Via Semidefinite Programming
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    Chapter 3 A Logarithmic-Quadratic Proximal Method for Variational Inequalities
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    Chapter 4 A Note on Error Bounds for Convex and Nonconvex Programs
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    Chapter 5 Multicategory Classification by Support Vector Machines
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    Chapter 6 Quartic Barriers
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    Chapter 7 A Partitioned ∈-Relaxation Algorithm for Separable Convex Network Flow Problems
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    Chapter 8 On a Primal-Dual Analytic Center Cutting Plane Method for Variational Inequalities
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    Chapter 9 A Shifted-Barrier Primal-Dual Algorithm Model for Linearly Constrained Optimization Problems
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    Chapter 10 Arithmetic Continuation of Regular Roots of Formal Parametric Polynomial Systems
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    Chapter 11 Interfaces to PATH 3.0: Design, Implementation and Usage
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    Chapter 12 Existence and Limiting Behavior of Trajectories Associated with P 0 -equations
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    Chapter 13 Stabilized Sequential Quadratic Programming
Attention for Chapter 7: A Partitioned ∈-Relaxation Algorithm for Separable Convex Network Flow Problems
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Chapter title
A Partitioned ∈-Relaxation Algorithm for Separable Convex Network Flow Problems
Chapter number 7
Book title
Computational Optimization
Published by
Springer, Boston, MA, January 1999
DOI 10.1007/978-1-4615-5197-3_7
Book ISBNs
978-1-4613-7367-4, 978-1-4615-5197-3
Authors

Renato De Leone, Robert R. Meyer, Armand Zakarian

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