Creator:
Kocsor, András ; Dombi, József ; Bálint, Imre
Contributor:
Korbicz, Józef - red. ; Uciński, Dariusz - red.
Title:
Inequality-based approximation of matrix eigenvectors
Group publication title:
Subject and Keywords:
eigenvectors ; eigenvalues ; inequalities ; error bounds ; iterative methods
Abstract:
A novel procedure is given here for constructing non-negative functions with zero-valued global minima coinciding with eigenvectors of a general real matrix A. Some of these functions are distinct because all their local minima are also global, offering a new way of determining eigenpairs by local optimization. ; Apart from describing the framework of the method, the error bounds given separately for the approximation of eigenvectors and eigenvalues provide a deeper insight into the fundamentally different nature of their approximations.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 12, number 4 (2002) ; click here to follow the link