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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/803240

Title: Convex analysis and nonlinear optimization: theory and examples
Author/Creator: Borwein, Jonathan; Lewis, Adrian S.
Description: 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.
Description: 2nd ed.
Relation: CMS Books in Mathematics
Relation: http://www.springer.com/mathematics/analysis/book/978-0-387-29570-1
Date: 2006
Publisher: Springer
Keyword(s): analysis; optimization; convexity; convex analysis
Resource Type: book
Identifier: http://hdl.handle.net/1959.13/803240
Identifier: ISBN:9780387295701
Language: eng

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