Matrix Analysis (Graduate Texts in Mathematics, 169)
Product Description
Matrix Analysis (Graduate Texts in Mathematics, 169)
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.
Technical Specifications
You might also like
High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics)
High-Dimensional Probability: An Introduction with Applications in Data Science (Cambridge Series in Statistical and Probabilistic Mathematics)
Fundamentals of Matrix Computations
Positive Definite Matrices (Princeton Series in Applied Mathematics)
Matrix Analysis: Second Edition
Nonlinear Programming: 3rd Edition
Advanced Linear Algebra (Graduate Texts in Mathematics, Vol. 135)
Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences)
Concentration Inequalities: A Nonasymptotic Theory of Independence
Linear Algebra and Learning from Data