Numerical Methods for Large Eigenvalue Problems
by Yousef Saad
Publisher: SIAM 2011
ISBN/ASIN: 1611970725
ISBN-13: 9781611970722
Number of pages: 285
Description:
This book discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications.
Download or read it online for free here:
Download link
(2.2MB, PDF)
Similar books
Linear Algebra Review and Referenceby Zico Kolter - Stanford University
From the tabble of contents: Basic Concepts and Notation; Matrix Multiplication; Operations and Properties; Matrix Calculus (Gradients and Hessians of Quadratic and Linear Functions, Least Squares, Eigenvalues as Optimization, etc.).
(20674 views)
Super Linear Algebraby W. B. V. Kandasamy, F. Smarandache - InfoQuest
In this book, the authors introduce the notion of Super linear algebra and super vector spaces using the definition of super matrices defined by Horst (1963). This book expects the readers to be well-versed in linear algebra.
(18462 views)
Introduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebraby Ray M. Bowen, C.-C.Wang - Springer
This book presents the basics of vector and tensor analysis for science and engineering students. Volume 1 covers algebraic structures and a modern introduction to the algebra of vectors and tensors. Clear presentation of mathematical concepts.
(21351 views)
Templates for the Solution of Linear Systemsby Richard Barrett et al. - Society for Industrial Mathematics
The book focuses on the use of iterative methods for solving large sparse systems of linear equations. General and reusable templates are introduced to meet the needs of both the traditional user and the high-performance specialist.
(17591 views)