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090528s2002 nju o 00 0 eng d |
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|a 9781400825134
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|z 9781400817498
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|z 9781400814527
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|z 9780691091938
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|z 9780691091921
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|a MdBmJHUP
|c MdBmJHUP
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100 |
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|a Peng, Jiming.
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245 |
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|a Self-Regularity :
|b A New Paradigm for Primal-Dual Interior-Point Algorithms /
|c Jiming Peng, Cornelis Roos, and Tamás Terlaky.
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264 |
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1 |
|a Oxford :
|b Princeton University Press,
|c 2002.
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264 |
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3 |
|a Baltimore, Md. :
|b Project MUSE,
|c 0000
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264 |
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4 |
|c ©2002.
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300 |
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|a 1 online resource:
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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490 |
0 |
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|a Princeton series in applied mathematics
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505 |
0 |
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|a Preface; Acknowledgements; Notation; List of Abbreviations; Chapter 1. Introduction and Preliminaries; Chapter 2. Self-Regular Functions and Their Properties; Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities; Chapter 4. Interior-Point Methods for Complementarity Problems Based on Self-Regular Proximities; Chapter 5. Primal-Dual Interior-Point Methods for Semidefinite Optimization Based on Self-Regular Proximities; Chapter 6. Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities.
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520 |
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|a 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.
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546 |
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|a In English.
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588 |
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|a Description based on print version record.
|
650 |
1 |
7 |
|a Mathematische programmering.
|2 gtt
|
650 |
1 |
7 |
|a Algoritmen.
|2 gtt
|
650 |
1 |
7 |
|a Zelfregulering.
|2 gtt
|
650 |
1 |
7 |
|a Controleleer.
|2 gtt
|
650 |
|
7 |
|a Programming (Mathematics)
|2 fast
|0 (OCoLC)fst01078701
|
650 |
|
7 |
|a Mathematical optimization.
|2 fast
|0 (OCoLC)fst01012099
|
650 |
|
7 |
|a Interior-point methods.
|2 fast
|0 (OCoLC)fst00976414
|
650 |
|
7 |
|a MATHEMATICS
|x Applied.
|2 bisacsh
|
650 |
|
7 |
|a MATHEMATICS
|x Optimization.
|2 bisacsh
|
650 |
|
6 |
|a Programmation (Mathematiques)
|
650 |
|
6 |
|a Methodes de points interieurs.
|
650 |
|
6 |
|a Optimisation mathematique.
|
650 |
|
0 |
|a Programming (Mathematics)
|
650 |
|
0 |
|a Interior-point methods.
|
650 |
|
0 |
|a Mathematical optimization.
|
655 |
|
7 |
|a Electronic books.
|2 local
|
700 |
1 |
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|a Terlaky, Tamás.
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700 |
1 |
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|a Roos, Cornelis,
|d 1941-
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710 |
2 |
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|a Project Muse.
|e distributor
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830 |
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0 |
|a Book collections on Project MUSE.
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856 |
4 |
0 |
|z Texto completo
|u https://projectmuse.uam.elogim.com/book/30828/
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945 |
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|a Project MUSE - Custom Collection
|