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An Introduction to Matrix Concentration Inequalities - Foundations and Trends® in Machine Learning
Joel A. Tropp
An Introduction to Matrix Concentration Inequalities - Foundations and Trends® in Machine Learning
Joel A. Tropp
Offers an invitation to the field of matrix concentration inequalities. The book begins with some history of random matrix theory; describes a flexible model for random matrices that is suitable for many problems; and discusses the most important matrix concentration results.
252 pages
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | May 27, 2015 |
ISBN13 | 9781601988386 |
Publishers | now publishers Inc |
Pages | 252 |
Dimensions | 234 × 157 × 16 mm · 358 g |
Language | English |
See all of Joel A. Tropp ( e.g. Paperback Book )