Eigenvalues of Matrices

Eigenvalues of Matrices PDF Author: Francoise Chatelin
Publisher: SIAM
ISBN: 1611972450
Category : Mathematics
Languages : en
Pages : 428

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Book Description
A comprehensive and accessible guide to the calculation of eigenvalues of matrices, ideal for undergraduates, or researchers/engineers in industry.

Eigenvalues of Matrices

Eigenvalues of Matrices PDF Author: Francoise Chatelin
Publisher: SIAM
ISBN: 1611972450
Category : Mathematics
Languages : en
Pages : 428

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Book Description
A comprehensive and accessible guide to the calculation of eigenvalues of matrices, ideal for undergraduates, or researchers/engineers in industry.

Numerical Methods for Large Eigenvalue Problems

Numerical Methods for Large Eigenvalue Problems PDF Author: Yousef Saad
Publisher: SIAM
ISBN: 9781611970739
Category : Mathematics
Languages : en
Pages : 292

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Book Description
This revised edition 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. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi-Davidson method, and automatic multilevel substructuring.

Bounds for the Eigenvalues of a Matrix

Bounds for the Eigenvalues of a Matrix PDF Author: Kenneth R. Garren
Publisher:
ISBN:
Category : Eigenvalues
Languages : en
Pages : 52

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Book Description


The Matrix Eigenvalue Problem

The Matrix Eigenvalue Problem PDF Author: David S. Watkins
Publisher: SIAM
ISBN: 0898716411
Category : Mathematics
Languages : en
Pages : 443

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Book Description
An in-depth, theoretical discussion of the two most important classes of algorithms for solving matrix eigenvalue problems.

Differential Equations and Linear Algebra

Differential Equations and Linear Algebra PDF Author: Gilbert Strang
Publisher: Wellesley-Cambridge Press
ISBN: 9780980232790
Category : Mathematics
Languages : en
Pages : 0

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Book Description
Differential equations and linear algebra are two central topics in the undergraduate mathematics curriculum. This innovative textbook allows the two subjects to be developed either separately or together, illuminating the connections between two fundamental topics, and giving increased flexibility to instructors. It can be used either as a semester-long course in differential equations, or as a one-year course in differential equations, linear algebra, and applications. Beginning with the basics of differential equations, it covers first and second order equations, graphical and numerical methods, and matrix equations. The book goes on to present the fundamentals of vector spaces, followed by eigenvalues and eigenvectors, positive definiteness, integral transform methods and applications to PDEs. The exposition illuminates the natural correspondence between solution methods for systems of equations in discrete and continuous settings. The topics draw on the physical sciences, engineering and economics, reflecting the author's distinguished career as an applied mathematician and expositor.

Spectra and Pseudospectra

Spectra and Pseudospectra PDF Author: Lloyd N. Trefethen
Publisher: Princeton University Press
ISBN: 9780691119465
Category : Mathematics
Languages : en
Pages : 634

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Book Description
Pure and applied mathematicians, physicists, scientists, and engineers use matrices and operators and their eigenvalues in quantum mechanics, fluid mechanics, structural analysis, acoustics, ecology, numerical analysis, and many other areas. However, in some applications the usual analysis based on eigenvalues fails. For example, eigenvalues are often ineffective for analyzing dynamical systems such as fluid flow, Markov chains, ecological models, and matrix iterations. That's where this book comes in. This is the authoritative work on nonnormal matrices and operators, written by the authorities who made them famous. Each of the sixty sections is written as a self-contained essay. Each document is a lavishly illustrated introductory survey of its topic, complete with beautiful numerical experiments and all the right references. The breadth of included topics and the numerous applications that provide links between fields will make this an essential reference in mathematics and related sciences.

Numerical Methods for Eigenvalue Problems

Numerical Methods for Eigenvalue Problems PDF Author: Steffen Börm
Publisher: Walter de Gruyter
ISBN: 3110250373
Category : Mathematics
Languages : en
Pages : 216

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Book Description
Eigenvalues and eigenvectors of matrices and linear operators play an important role when solving problems from structural mechanics and electrodynamics, e.g., by describing the resonance frequencies of systems, when investigating the long-term behavior of stochastic processes, e.g., by describing invariant probability measures, and as a tool for solving more general mathematical problems, e.g., by diagonalizing ordinary differential equations or systems from control theory. This textbook presents a number of the most important numerical methods for finding eigenvalues and eigenvectors of matrices. The authors discuss the central ideas underlying the different algorithms and introduce the theoretical concepts required to analyze their behavior with the goal to present an easily accessible introduction to the field, including rigorous proofs of all important results, but not a complete overview of the vast body of research. Several programming examples allow the reader to experience the behavior of the different algorithms first-hand. The book addresses students and lecturers of mathematics, physics and engineering who are interested in the fundamental ideas of modern numerical methods and want to learn how to apply and extend these ideas to solve new problems.

Perturbation Bounds for Matrix Eigenvalues

Perturbation Bounds for Matrix Eigenvalues PDF Author: Rajendra Bhatia
Publisher: SIAM
ISBN: 9780898719079
Category : Eigenvalues
Languages : en
Pages : 191

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Book Description
Perturbation Bounds for Matrix Eigenvalues contains a unified exposition of spectral variation inequalities for matrices. The text provides a complete and self-contained collection of bounds for the distance between the eigenvalues of two matrices, which could be arbitrary or restricted to special classes. The book emphasizes sharp estimates, general principles, elegant methods, and powerful techniques. For the SIAM Classics edition, the author has added over 60 pages of new material, which includes recent results and discusses the important advances made in the theory, results, and proof techniques of spectral variation problems in the two decades since the book's original publication. Audience: physicists, engineers, computer scientists, and mathematicians interested in operator theory, linear algebra, and numerical analysis. The text is also suitable for a graduate course in linear algebra or functional analysis.

Latent Roots and Latent Vectors

Latent Roots and Latent Vectors PDF Author: S. J. Hammarling
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 192

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Book Description


Introduction to Matrices and Vectors

Introduction to Matrices and Vectors PDF Author: Jacob T. Schwartz
Publisher: Courier Corporation
ISBN: 0486143708
Category : Mathematics
Languages : en
Pages : 198

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Book Description
Realizing that matrices can be a confusing topic for the beginner, the author of this undergraduate text has made things as clear as possible by focusing on problem solving, rather than elaborate proofs. He begins with the basics, offering students a solid foundation for the later chapters on using special matrices to solve problems.The first three chapters present the basics of matrices, including addition, multiplication, and division, and give solid practice in the areas of matrix manipulation where the laws of algebra do not apply. In later chapters the author introduces vectors and shows how to use vectors and matrices to solve systems of linear equations. He also covers special matrices — including complex numbers, quaternion matrices, and matrices with complex entries — and transpose matrices; the trace of a matrix; the cross product of matrices; eigenvalues and eigenvectors; and infinite series of matrices. Exercises at the end of each section give students further practice in problem solving. Prerequisites include a background in algebra, and in the later chapters, a knowledge of solid geometry. The book was designed as an introductory text for college freshmen and sophomores, but selected chapters can also be used to supplement advanced high school classes. Professionals who need a better understanding or review of the subject will also benefit from this concise guide.