A mathematical view of interior-point methods in convex optimization /
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Author / Creator: | Renegar, James, 1955- |
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Imprint: | Philadelphia, PA : Society for Industrial and Applied Mathematics : Mathematical Programming Society, 2001. |
Description: | vii, 117 pages ; 26 cm |
Language: | English |
Series: | MPS-SIAM series on optimization MPS-SIAM series on optimization. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12577227 |
ISBN: | 0898715024 9780898715026 9780898718812 0898718813 |
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Notes: | Includes bibliographical references (pages 115-116) and index. Access is restricted to subscribing institutions. Also available in print version. English. |
Summary: | Here is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic quadratic and semidefinite programming. The authors present the basic theory underlying these problems as well as their numerous applications in engineering, including synthesis of filters, Lyapunov stability analysis, and structural design. The authors also discuss the complexity issues and provide an overview of the basic theory of state-of-the-art polynomial time interior point methods for linear, conic quadratic, and semidefinite programming. The book's focus on well-structured convex problems in conic form allows for unified theoretical and algorithmical treatment of a wide spectrum of important optimization problems arising in applications. |
Other form: | Print version: Renegar, James, 1955- Mathematical view of interior-point methods in convex optimization. Philadelphia, PA : Society for Industrial and Applied Mathematics : Mathematical Programming Society, 2001 0898715024 |
Standard no.: | MP03 |
Publisher's no.: | MP03 siam |
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