Editore: Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Lingua: Inglese
Da: Ann Becker, Houston, TX, U.S.A.
hardback. Condizione: Very Good. Condizione sovraccoperta: No Dust Jacket. Princeton Series In Applied Mathematics, 22; 9.2 X 6.0 X 0.7 inches; 208 pages.
Editore: Princeton University Press, Princeton, New Jersey, U. S. A., 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: PsychoBabel & Skoob Books, Didcot, Regno Unito
Prima edizione
EUR 11,68
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. First Edition. Paperback in as-new condition: minor shelfwear only: contents clean, sound, bright. Used.
Editore: Princeton University Press, Princeton, NJ, U.S.A., 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Lingua: Inglese
Da: PsychoBabel & Skoob Books, Didcot, Regno Unito
Prima edizione
EUR 11,68
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. Condizione sovraccoperta: No Dust Jacket. First Edition. Printed cover showing minor shelf wear. contents clean, sound, and bright throughout; almost as new. Used.
Editore: Princeton University Press, USA, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Lingua: Inglese
Da: PsychoBabel & Skoob Books, Didcot, Regno Unito
EUR 11,68
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. Condizione sovraccoperta: No Dust Jacket. Shrinkwrapped from new. Used.
Editore: Princeton University Press, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Lingua: Inglese
Da: Labyrinth Books, Princeton, NJ, U.S.A.
Condizione: New.
Editore: Princeton Univ Pr, Princeton, New Jersey, 2002
ISBN 10: 0691091927 ISBN 13: 9780691091921
Lingua: Inglese
Da: Rose's Books IOBA, Harwich Port, MA, U.S.A.
Membro dell'associazione: IOBA
Laminated Boards. Condizione: 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.
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: BennettBooksLtd, San Diego, NV, U.S.A.
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: 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.
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 111,29
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 127,66
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Princeton University Press, US, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 115,32
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 151,06
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. illustrated edition. 208 pages. 9.00x6.00x0.50 inches. In Stock.
Editore: Princeton University Press, 2002
ISBN 10: 0691091935 ISBN 13: 9780691091938
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 80,92
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.