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Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set of optional exercises. This new edition adds material on semismooth optimization, as well as several new proofs.
Genetic algorithms and fuzzy multiobjective optimization Автор: Masatoshi Sakawa Год: 2002 |
Introduction to Modern Portfolio Optimization with NuOPT S PLUS and S+Bayes Автор: Bernd Scherer Год: 2007 |
Introduction to Modern Portfolio Optimization with NuOPT, S-PLUS and S+Bayes Автор: Bernd Scherer Год: 2007 |
Optimization in Medicine and Biology Автор: Gino J. Lim, Eva K. Lee Год: 2008 |
Perspectives in Flow Control and Optimization Автор: Gunzburger M. Год: 2001 |
Mathematics of Optimization: Smooth and Nonsmooth Case Автор: Giorgi G., Thierfelder J. Год: 2004 |