Self-regularity : a new paradigm for primal-dual interior-point algorithms /

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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:
Mathematical optimization.
Interior-point methods.
Programming (Mathematics)
Optimisation mathématique.
Méthodes de points intérieurs.
Programmation (Mathématiques)
MATHEMATICS > Optimization.
MATHEMATICS > Applied.
Controleleer.
Zelfregulering.
Algoritmen.
Mathematische programmering.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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