Convex analysis and nonlinear optimization: theory and examples

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.

• ISBN: 978-1-4419-2127-7
• Editorial: Springer
• Encuadernacion: Rústica
• Páginas: 310
• Fecha Publicación: 01/01/2006
• Nº Volúmenes: 1
• Idioma: