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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Peng, Jiming
Otros Autores: Roos, Cornelis, 1941-, Terlaky, Tamás
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton, N.J. ; Oxford : Princeton University Press, ©2002.
Colección:Princeton series in applied mathematics.
Temas:
Acceso en línea:Texto completo

MARC

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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. 
260 |a Princeton, N.J. ;  |a Oxford :  |b Princeton University Press,  |c ©2002. 
300 |a 1 online resource (xiii, 185 pages) :  |b illustrations 
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490 1 |a Princeton series in applied mathematics 
504 |a Includes bibliographical references (pages 175-181) and index. 
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. 
588 0 |a Print version record. 
546 |a In English. 
590 |a JSTOR  |b Books at JSTOR Evidence Based Acquisitions 
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650 0 |a Mathematical optimization. 
650 0 |a Interior-point methods. 
650 0 |a Programming (Mathematics) 
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650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a Interior-point methods.  |2 fast  |0 (OCoLC)fst00976414 
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700 1 |a Roos, Cornelis,  |d 1941- 
700 1 |a Terlaky, Tamás. 
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