High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics)
This book presents a substantial part of matrix analysis that is functional analytic in spirit. Topics covered include the theory of majorization, variational principles for eigenvalues, operator monotone and convex functions, and perturbation of matrix functions and matrix inequalities. The book offers several powerful methods and techniques of wide applicability, and it discusses connections with other areas of mathematics.
Country | USA |
Brand | Springer |
Manufacturer | Springer |
Binding | Hardcover |
ItemPartNumber | biography |
UnitCount | 1 |
EANs | 9780387948461 |
ReleaseDate | 0000-00-00 |