"An important part of the book deals with iterative methods for solving large sparse systems. We can find here Jacobi, Gauss-Seidel and successive overrelaxation (SOR) methods, as well as Krylov subspace methods..." --Zentralblatt Math
"...this is a book that merits careful consideration as a possible text for a course in numerical linear algebra, particularly one stressing applications to engineering and other areas of science." --MAA Reviews, January 2015
From the Back Cover
Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, this book contains all the material necessary for a graduate course on numerical linear algebra and numerous applications to engineering and science used in industry. Presenting a unified presentation of computation, basic algorithm analysis and numerical methods to compute solutions,Numerical Linear Algebra with Applications is ideal for solving real-world, practical problems. This reference provides necessary mathematical background information for those who want to learn to solve linear algebra problems using the programming language Matlab, in addition to offering a thorough explanation of the issues and methods for practical computation while avoiding an extensive theorem-proof type of exposition for practical use.