Numerical linear algebra, also called matrix computation, has been a cen-ter of scientific and engineering computing since 1946, the first modern com-puter was born. Most of problems in science and engineering finally becomeproblems in matrix computation. Therefore, it is important for us to study nu-merical linear algebra. This book gives an elementary introduction to matrixcomputation and it also includes some new results obtained in recent years.
【目录】
Preface Chapter 1 Introduction 1.1 Basic symbols 1.2 Basic problems in NLA 1.3 Why shall we study numerical methods? 1.4 Matrix factorizations (decompositions) 1.5 Perturbation and error analysis 1.6 Operation cost and convergence rate Exercises
Chapter 2 Direct Methods for Linear Systems 2.1 Triangular linear systems and LU factorization 2.2 LU factorization with pivoting 2.3 Cholesky factorization Exercises
Chapter 3 Perturbation and Error Analysis 3.1 Vector and matrix norms 3.2 Perturbation analysis for linear systems 3.3 Error analysis on floating point arithmetic 3.4 Error analysis on partial pivoting Exercises
Chapter 4 Least Squares Problems 4.1 Least squares problems 4.2 Orthogonal transformations 4.3 QR decomposition Exercises
Chapter 5 Classical Iterative Methods 5.1 Jacobi and Gauss-Seidel method 5.2 Convergence analysis 5.3 Convergence rate 5.4 SOR method Exercises
Chapter 7 Nonsymmetric Eigenvalue Problems 7.1 Basic properties 7.2 Power method 7.3 Inverse power method 7.4 QR method 7.5 Real version of QR algorithm Exercises
以下为对购买帮助不大的评价