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Table of contents (15 chapters)
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Front Matter
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Selected Applications
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Front Matter
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Back Matter
About this book
These new developments motivated the authors to write a new book devoted to global optimization problems with special structures. Most of these problems, though highly nonconvex, can be characterized by the property that they reduce to convex minimization problems when some of the variables are fixed. A number of recently developed algorithms have been proved surprisingly efficient for handling typical classes of problems exhibiting such structures, namely low rank nonconvex structures.
Audience: The book will serve as a fundamental reference book for all those who are interested in mathematical optimization.
Reviews
Mathematical Reviews, 98i
Authors and Affiliations
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Tokyo Institute of Technology, Tokyo, Japan
Hiroshi Konno
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Hanoi Institute of Mathematics, Hanoi, Vietnam
Phan Thien Thach, Hoang Tuy
Bibliographic Information
Book Title: Optimization on Low Rank Nonconvex Structures
Authors: Hiroshi Konno, Phan Thien Thach, Hoang Tuy
Series Title: Nonconvex Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4615-4098-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1997
Hardcover ISBN: 978-0-7923-4308-0Published: 31 December 1996
Softcover ISBN: 978-1-4613-6835-9Published: 26 November 2013
eBook ISBN: 978-1-4615-4098-4Published: 01 December 2013
Series ISSN: 1571-568X
Edition Number: 1
Number of Pages: XII, 460
Topics: Optimization, Operations Research/Decision Theory, Operations Research, Management Science, Convex and Discrete Geometry