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Self-Regularity : A New Paradigm for Primal-Dual Interior-Point Algorithms /
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 b...
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| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Princeton University Press,
2002.
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| Colección: | Book collections on Project MUSE.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 008 | 090528s2002 nju o 00 0 eng d | ||
| 020 | |a 9781400825134 | ||
| 020 | |z 9781400817498 | ||
| 020 | |z 9781400814527 | ||
| 020 | |z 9780691091938 | ||
| 020 | |z 9780691091921 | ||
| 040 | |a MdBmJHUP |c MdBmJHUP | ||
| 100 | 1 | |a Peng, Jiming. | |
| 245 | 1 | 0 | |a Self-Regularity : |b A New Paradigm for Primal-Dual Interior-Point Algorithms / |c Jiming Peng, Cornelis Roos, and Tamás Terlaky. |
| 264 | 1 | |a Oxford : |b Princeton University Press, |c 2002. | |
| 264 | 3 | |a Baltimore, Md. : |b Project MUSE, |c 0000 | |
| 264 | 4 | |c ©2002. | |
| 300 | |a 1 online resource: |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Princeton series in applied mathematics | |
| 505 | 0 | |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. | |
| 520 | |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. | ||
| 546 | |a In English. | ||
| 588 | |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 | |a Terlaky, Tamás. | |
| 700 | 1 | |a Roos, Cornelis, |d 1941- | |
| 710 | 2 | |a Project Muse. |e distributor | |
| 830 | 0 | |a Book collections on Project MUSE. | |
| 856 | 4 | 0 | |z Texto completo |u https://projectmuse.uam.elogim.com/book/30828/ |
| 945 | |a Project MUSE - Custom Collection | ||