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Self Regularity New Paradigm Primal Dual by Peng Jiming (20 results)
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics)
Published by Princeton University Press (edition ), 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
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.
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
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
Seller rating 5 out of 5 stars
First Edition
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Self-Regularity - A New Paradigm for Primal-Dual Interior-Point Algorithms
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
Seller rating 5 out of 5 stars
First Edition
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Self-Regularity - A New Paradigm for Primal-Dual Interior-Point Algorithms
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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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics)
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
US$ 60.94
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics (22))
Published by Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Condition: New.
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton Univ Pr, Princeton, New Jersey, U.S.A., 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
US$ 13.00
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Self Regularity: A New Paradigm for Primal Dual Interior Point Algorithms
Published by Princeton Univ Pr, Princeton, New Jersey, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
Seller: Rose's Books IOBA, Harwich Port, MA, U.S.A.
Association Member: IOBA
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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.
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Self Regularity : A New Paradigm for Primal Dual Interior Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Condition: New.
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics, 22)
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
paperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Self-Regularity - A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
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Self-Regularity - A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Self Regularity : A New Paradigm for Primal Dual Interior Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Condition: As New. Unread book in perfect condition.
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Self Regularity : A New Paradigm for Primal Dual Interior Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 105.62
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Add to basketCondition: 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. . . . .
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 114.05
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Self Regularity : A New Paradigm for Primal Dual Interior Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 105.77
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics)
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
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.
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Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
US$ 119.00
Convert currencyUS$ 72.22 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
