数值线性代数及其应用（英文版）

Numerical linear algebra， also called matrix computation， has been a center of scientific and engineering computing. This book introduces the basic concepts and techniques of numerical linear algebra, including direct methods, iterative methods, eigenvalue problems and their applications. It provides a comprehensive coverage of the subject while introducing readers to the latest developments. The book is divided into nine chapters, covering the basic symbols, matrix factorizations, perturbation and error analysis, least squares problems, classical iterative methods, Krylov subspace methods, nonsymmetric eigenvalue problems, symmetric eigenvalue problems, and applications. Each chapter is supplemented with a set of exercises to help readers test their understanding. This book is suitable for students and researchers in applied mathematics, computer science, engineering, physics, and related fields. It is essential reading for anyone interested in the numerical solution of linear algebra problems.