A Mathematical View of Interior-Point Methods in Convex Optimization (MPS-SIAM Series on Optimization, Series Number 3)

Renegar, James

ISBN 10: 0898715024 / ISBN 13: 9780898715026

Published by Society for Industrial and Applied Mathematics (edition First Edition), 1987

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0898715024-8-1

Bibliographic Details

• Title: A Mathematical View of Interior-Point Methods in Convex Optimization (MPS-SIAM Series on Optimization, Series Number 3)
• Publisher: Society for Industrial and Applied Mathematics (edition First Edition)
• Publication Date: 1987
• Language: English
• ISBN 10: 0898715024
• ISBN 13: 9780898715026
• Binding: Paperback
• Edition: First Edition.
• Condition: Very Good

About this title

Synopsis

This compact book, through the simplifying perspective it presents, will take a reader who knows little of interior-point methods to within sight of the research frontier, developing key ideas that were over a decade in the making by numerous interior-point method researchers. It aims at developing a thorough understanding of the most general theory for interior-point methods, a class of algorithms for convex optimization problems. The study of these algorithms has dominated the continuous optimization literature for nearly 15 years. In that time, the theory has matured tremendously, but much of the literature is difficult to understand, even for specialists. By focusing only on essential elements of the theory and emphasizing the underlying geometry, A Mathematical View of Interior-Point Methods in Convex Optimization makes the theory accessible to a wide audience, allowing them to quickly develop a fundamental understanding of the material.

About the Author

James Renegar is a Professor in the Department of Operations Research and Industrial Engineering at Cornell University in Ithaca, New York.