Convex analysis and nonlinear optimization : theory and examples
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The work Convex analysis and nonlinear optimization : theory and examples represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
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Convex analysis and nonlinear optimization : theory and examples
Resource Information
The work Convex analysis and nonlinear optimization : theory and examples represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Convex analysis and nonlinear optimization : theory and examples
 Title remainder
 theory and examples
 Statement of responsibility
 Jonathan M. Borwein, Adrian S. Lewis
 Subject

 Convex functions
 Convex functions
 Convex functions
 Convexe functies
 Konvexe Analysis
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Nichtlineare Optimierung
 Nietlineaire vergelijkingen
 Nonlinear theories
 Nonlinear theories
 Nonlinear theories
 Optimaliseren
 Programação convexa
 Programação matemática
 Analyse (wiskunde)
 Language
 eng
 Summary
 A cornerstone of modern optimization and analysis, convexity pervades applications ranging through engineering and computation to finance. This concise introduction to convex analysis and its extensions aims at first year graduate students, and includes many guided exercises. The corrected Second Edition adds a chapter emphasizing concrete models. New topics include monotone operator theory, Rademacher's theorem, proximal normal geometry, Chebyshev sets, and amenability. The final material on "partial smoothness" won a 2005 SIAM Outstanding Paper Prize. Jonathan M. Borwein, FRSC is Canada Research Chair in Collaborative Technology at Dalhousie University. A Fellow of the AAAS and a foreign member of the Bulgarian Academy of Science, he received his Doctorate from Oxford in 1974 as a Rhodes Scholar and has worked at Waterloo, Carnegie Mellon and Simon Fraser Universities. Recognition for his extensive publications in optimization, analysis and computational mathematics includes the 1993 Chauvenet prize. Adrian S. Lewis is a Professor in the School of Operations Research and Industrial Engineering at Cornell. Following his 1987 Doctorate from Cambridge, he has worked at Waterloo and Simon Fraser Universities. He received the 1995 Aisenstadt Prize, from the University of Montreal, and the 2003 Lagrange Prize for Continuous Optimization, from SIAM and the Mathematical Programming Society. About the First Edition: " ... a very rewarding book, and I highly recommend it ..."M.J. Todd, in the International Journal of Robust and Nonlinear Control " ... a beautifully written book ... highly recommended ..."Leaf Qi, in the Australian Mathematical Society Gazette "This book represents a tour de force for introducing so many topics of present interest in such a small space and with such clarity and elegance."J.P. Penot, in Canadian Mathematical Society Notes "There is a fascinating interweaving of theory and applications ..."J.R. Giles, in Mathematical Reviews " ... an ideal introductory teaching text ..."S. Cobzas, in Studia Universitatis BabesBolyai Mathematica
 Cataloging source
 GW5XE
 Dewey number
 515/.8
 Index
 index present
 Language note
 English
 LC call number
 QA331.5
 LC item number
 .B65 2006
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 CMS books in mathematics
 Series volume
 3
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 Convex analysis and nonlinear optimization : theory and examples, Jonathan M. Borwein, Adrian S. Lewis
 Convex analysis and nonlinear optimization : theory and examples, Jonathan M. Borwein, Adrian S. Lewis
 Convex analysis and nonlinear optimization : theory and examples, Jonathan M. Borwein, Adrian S. Lewis
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