Logo

Numerical Methods for Large Eigenvalue Problems

Small book cover: Numerical Methods for Large Eigenvalue Problems

Numerical Methods for Large Eigenvalue Problems
by


Number of pages: 286

Description:
This book is a comprehensive guide to computational techniques for finding eigenvalues and eigenvectors of large matrices. It emphasizes practical algorithms and software development, particularly for sparse matrices. The book covers background theory, perturbation analysis, and numerous methods.

Home page url

Download or read it online for free here:
Download link
(2.2MB, PDF)

Similar books

Book cover: Differential Equations and Linear AlgebraDifferential Equations and Linear Algebra
by - Heriot-Watt University
From the table of contents: Linear second order ODEs; Homogeneous linear ODEs; Non-homogeneous linear ODEs; Laplace transforms; Linear algebraic equations; Matrix Equations; Linear algebraic eigenvalue problems; Systems of differential equations.
(14125 views)
Book cover: A Second Semester of Linear AlgebraA Second Semester of Linear Algebra
by - University of Colorado Denver
This book is written as a text for a second semester of linear algebra at the senior or first-year-graduate level. It is assumed that you already have successfully completed a first course in linear algebra and a first course in abstract algebra.
(23023 views)
Book cover: Notes on Numerical Linear AlgebraNotes on Numerical Linear Algebra
by
Tutorial describing many of the standard numerical methods used in Linear Algebra. Topics include Gaussian Elimination, LU and QR Factorizations, The Singular Value Decomposition, Eigenvalues and Eigenvectors via the QR Method, etc.
(16774 views)
Book cover: Introduction to Vectors and Tensors Volume 1: Linear and Multilinear AlgebraIntroduction to Vectors and Tensors Volume 1: Linear and Multilinear Algebra
by - 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.
(22440 views)