Ebook: Optimization Models
- Year: 2014
- Publisher: Cambridge University Press
- Language: English
- djvu
Several textbooks have appeared in recent years, in response to the growing needs of the scientific community in the area of convex optimization. Most of these textbooks are graduate-level, and indeed contain a good wealth of sophisticated material. Our treatment includes the following distinguishing elements.
• The book can be used both in undergraduate courses on linear algebra and optimization, and in graduate-level introductory courses on convex modeling and optimization.
• The book focuses on modeling practical problems in a suitable optimization format, rather than on algorithms for solving mathematical optimization problems; algorithms are circumscribed to two chapters, one devoted to basic matrix computations, and the other to convex optimization.
• About a third of the book is devoted to a self-contained treatment of the essential topic of linear algebra and its applications.
• The book includes many real-world examples, and several chapters devoted to practical applications.
• We do not emphasize general non-convex models, but we do illustrate how convex models can be helpful in solving some specific non-convex ones.
• The book can be used both in undergraduate courses on linear algebra and optimization, and in graduate-level introductory courses on convex modeling and optimization.
• The book focuses on modeling practical problems in a suitable optimization format, rather than on algorithms for solving mathematical optimization problems; algorithms are circumscribed to two chapters, one devoted to basic matrix computations, and the other to convex optimization.
• About a third of the book is devoted to a self-contained treatment of the essential topic of linear algebra and its applications.
• The book includes many real-world examples, and several chapters devoted to practical applications.
• We do not emphasize general non-convex models, but we do illustrate how convex models can be helpful in solving some specific non-convex ones.
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