Published by Princeton University Press (edition ), 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. 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.
Published by Princeton University Press, Princeton, New Jersey, U. S. A., 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
First Edition
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Published by Princeton University Press, Princeton, NJ, U.S.A., 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
First Edition
Hardcover. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. First Edition. Printed cover showing minor shelf wear. contents clean, sound, and bright throughout; almost as new. Used.
Published by Princeton University Press, USA, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
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Published by Princeton Univ Pr, Princeton, New Jersey, U.S.A., 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Kadriin Blackwell, Greensville, ON, Canada
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Paperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.01.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: ALLBOOKS1, Direk, SA, Australia
Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Published by Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Seller: Labyrinth Books, Princeton, NJ, U.S.A.
Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 325.
Seller: Boards & Wraps, Baltimore, MD, U.S.A.
First Edition
Hardcover. Condition: Very Good+. Dust Jacket Condition: No Dust Jacket. First Edition. Light rubbing and toning overall. Interior pages clean and unmarked. A tight and clean copy. Photos upon request. International shipping billed at cost.; 8vo 8" - 9" tall; 328 pages.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 325.
Published by Princeton Univ Pr, Princeton, New Jersey, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Laminated Boards. Condition: New. Copyright 2002, no edition stated. 8vo. Laminated boards, 185 pp. Part of Princeton Series in Applied Mathematics. Linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 325.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: BennettBooksLtd, San Diego, NV, U.S.A.
paperback. Condition: New. In shrink wrap. Looks like an interesting title!
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367574977 ISBN 13: 9780367574970
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 600.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap between the theory and practical performance of these two strategies. This book comes close to bridging that gap, presenting a new framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. The authors deal with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. The framework also covers large classes of linear complementarity problems and convex optimization. The algorithm considered can be interpreted as a path-following method or a potential reduction method. Starting from a primal-dual strictly feasible point, the algorithm chooses a search direction defined by some Newton-type system derived from the self-regular proximity.The iterate is then updated, with the iterates staying in a certain neighborhood of the central path until an approximate solution to the problem is found. By extensively exploring some intriguing properties of self-regular functions, the authors establish that the complexity of large-update IPMs can come arbitrarily close to the best known iteration bounds of IPMs. Researchers and postgraduate students in all areas of linear and nonlinear optimization will find this book an important and invaluable aid to their work.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Presents a framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. This book deals with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. Series: Princeton Series in Applied Mathematics. Num Pages: 208 pages, 1, black & white illustrations. BIC Classification: PBU; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 11. Weight in Grams: 28. . 2002. Paperback. . . . .
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Paperback. Condition: New. Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap between the theory and practical performance of these two strategies. This book comes close to bridging that gap, presenting a new framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. The authors deal with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. The framework also covers large classes of linear complementarity problems and convex optimization. The algorithm considered can be interpreted as a path-following method or a potential reduction method. Starting from a primal-dual strictly feasible point, the algorithm chooses a search direction defined by some Newton-type system derived from the self-regular proximity.The iterate is then updated, with the iterates staying in a certain neighborhood of the central path until an approximate solution to the problem is found. By extensively exploring some intriguing properties of self-regular functions, the authors establish that the complexity of large-update IPMs can come arbitrarily close to the best known iteration bounds of IPMs. Researchers and postgraduate students in all areas of linear and nonlinear optimization will find this book an important and invaluable aid to their work.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. illustrated edition. 208 pages. 9.00x6.00x0.50 inches. In Stock.
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Presents a framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function. This book deals with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. Series: Princeton Series in Applied Mathematics. Num Pages: 208 pages, 1, black & white illustrations. BIC Classification: PBU; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 229 x 152 x 11. Weight in Grams: 28. . 2002. Paperback. . . . . Books ship from the US and Ireland.
Published by Taylor & Francis Group, 2016
ISBN 10: 1498734731 ISBN 13: 9781498734738
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 374.
Published by Taylor & Francis Group, 2016
ISBN 10: 1498734731 ISBN 13: 9781498734738
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 374.
Published by Taylor & Francis Group, 2016
ISBN 10: 1498734731 ISBN 13: 9781498734738
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 374.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Like New. Like New. Ships from Multiple Locations. book.
ISBN 10: 7504640182 ISBN 13: 9787504640185
Seller: liu xing, Nanjing, JS, China
Hardcover. Condition: New. Language:English.Author:Yuan longping Peng Jiming.Binding:HardCover.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peng Cheng earned his BE degree in automation and his PhD degree in control science and engineering from Zhejiang University in 2004 and 2009, respectively. He was a research fellow at the National University of Singapore from 2010 to 20.