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Author:   Yaguang Yang
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.530kg
ISBN:  

9780367510091

ISBN 10:   036751009
Pages:   306
Publication Date:   01 August 2022
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface. SECTION I: LINE SEARCH INTERIOR-POINT METHODS FOR LINEAR PROGRAMMING. Introduction. A Potential-Reduction Algorithm for LP. Feasible Path-Following Algorithms for LP. Infeasible Interior-Point Method Algorithms for LP. SECTION II: ARC-SEARCH INTERIOR-POINT METHODS FOR LINEAR PROGRAMMING. A Feasible Arc-Search Algorithm for LP. A MTY-Type Infeasible Arc-Search Algorithm for LP. A Mehrotra-Type Infeasible Arc-Search Algorithm for LP. An O(√nL) Infeasible Arc-Search Algorithms for LP. SECTION III:ARC-SEARCH INTERIOR-POINT METHODS: EXTENSIONS. An Arc-Search Algorithm for Convex Quadratic Programming. An Arc-Search Algorithms for QP with Box Constraints. An Arc-Search Algorithm for LCP. An Arc-Search Algorithm for Semidefinite Programming. References. Index.

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Author Information

Yaguang Yang received a BSc (1982) and a MSc (1985) from Huazhong University of Science and Technology, China. From 1985 to 1990, he was a lecturer at Zhejiang University in China. In 1996, he received his PhD from the Department of Electrical and Computer Engineering at the University of Maryland, College Park. He proposed and developed arc-search techniques for interior-point methods. He is currently with the US Nuclear Regulatory Commission.

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