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Convex Optimization: Algorithms and Complexity - Foundations and Trends® in Machine Learning
Sebastien Bubeck
Convex Optimization: Algorithms and Complexity - Foundations and Trends® in Machine Learning
Sebastien Bubeck
Presents the main complexity theorems in convex optimization and their corresponding algorithms. The book begins with the fundamental theory of black-box optimization and proceeds to guide the reader through recent advances in structural optimization and stochastic optimization.
142 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | October 28, 2015 |
ISBN13 | 9781601988607 |
Publishers | now publishers Inc |
Pages | 142 |
Dimensions | 234 × 158 × 11 mm · 208 g |
Language | English |