Front cover image for Convex analysis and nonlinear optimization : theory and examples

Convex analysis and nonlinear optimization : theory and examples

"This book is a concise account of convex analysis, its applications and extensions, for a broad audience. Blurring as it does the distinctions between mathematical optimization and modern analysis, the elegant language of convexity and duality is indispensable both in computational optimization and for understanding variational properties of functions and multifunctions. Primarily aimed at first-year graduate students, the text consists of short, self-contained sections, each followed by an extensive set of exercises, many of which are guided. The book is thus appropriate either as a class text or for self-study."--Jacket
eBook, English, 2000
Springer, New York, 2000
1 online resource (x, 273 pages)
9781475798593, 9781475798616, 1475798598, 147579861X
861705948
Background * Inequality constraints * Fenchel duality * Convex analysis * Special cases * Nonsmooth optimization * The Karush-Kuhn-Tucker Theorem * Fixed points * Postscript: infinite versus finite dimensions * List of results and notation.
English