Inverse Eigenvalue Problems

Theory, Algorithms, and Applications

Moody T. Chu, Gene H. Golub - Collection Numerical Mathematics and Scientific Computation

400 pages, parution le 05/08/2005

Ajouter à une liste

Indisponible

Résumé

Inverse eigenvalue problems arise in a remarkable variety of applications and associated with any inverse eigenvalue problem are two fundamental questions--the theoretic issue on solvability and the practical issue on computability. Both questions are difficult and challenging. In this text, the authors discuss the fundamental questions, some known results, many applications, mathematical properties, a variety of numerical techniques, as well as several open problems.

This is the first book in the authoritative Numerical Mathematics and Scientific Computation series to cover numerical linear algebra, a broad area of numerical analysis. Authored by two world-renowned researchers, the book is aimed at graduates and researchers in applied mathematics, engineering and computer science and makes an ideal graduate text.

Readership: Aimed at graduates and researchers in applied mathematics, engineering and computer science; an ideal graduate text

L'auteur - Moody T. Chu

Moody Chu, Professor, North Carolina State University

L'auteur - Gene H. Golub

Gene Golub, Professor, Stanford University

Sommaire

Introduction
Applications
Parameterized Inverse Eigenvalue Problems
Structured Inverse Eigenvalue Problems
Partially Described Inverse Eigenvalue Problems
Least Squares Inverse Eigenvalue Problems
Spectrally Constrained Approximation
Structured Low Rank Approximation
Group Orbitally Constrained Approximation

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Moody T. Chu, Gene H. Golub
Collection	Numerical Mathematics and Scientific Computation
Parution	05/08/2005
Nb. de pages	400
Format	16 x 24
Couverture	Relié
Poids	745g
Intérieur	Noir et Blanc
EAN13	9780198566649
ISBN13	978-0-19-856664-9