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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
Paperback. Condition: New. First Edition. Paperback in as-new condition: minor shelfwear only: contents clean, sound, bright. Used.
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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
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.
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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
Seller rating 5 out of 5 stars
Hardcover. Condition: New. Dust Jacket Condition: No Dust Jacket. Shrinkwrapped from new. Used.
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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: Powell's Bookstores Chicago, ABAA, Chicago, IL, U.S.A.
Seller rating 5 out of 5 stars
£ 6.40
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Add to basketCondition: Used - Like New. 2002. Paperback. Fine.
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Self-Regularity A New Paradigm for Primal-Dual Interior-Point Algorithms
Published by Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
£ 7.67
Convert currency£ 26.06 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to baskethardback. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Princeton Series In Applied Mathematics, 22; 9.2 X 6.0 X 0.7 inches; 208 pages.
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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
£ 44.46
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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
Condition: 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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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
£ 64.70
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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
£ 71.30
Convert currency£ 14.88 shipping from U.S.A. to United KingdomQuantity: 1 available
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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
Seller rating 1 out of 5 stars
£ 60.58
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Add to basketLaminated 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 (Princeton Series in Applied Mathematics, 22)
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
£ 64.95
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Add to basketpaperback. Condition: New. In shrink wrap. Looks like an interesting title!
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Self-Regularity
Published by Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
£ 99.67
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketPaperback. 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.
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Paperback. Condition: Brand New. illustrated edition. 208 pages. 9.00x6.00x0.50 inches. In Stock.
-
Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms (Princeton Series in Applied Mathematics)
Published by Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Language: English
£ 77.46
Convert currency£ 85.62 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to baskethardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Self-Regularity
Published by Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
£ 101.23
Convert currency£ 85.62 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketPaperback. 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.
-
Self-Regularity
Published by Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Language: English
£ 73.61
Convert currency£ 21.61 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 pr.
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Paperback. Condition: Brand New. illustrated edition. 208 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
