Results 11 to 20 of about 171 (65)

Rayleigh-Ritz Majorization Error Bounds for the Linear Response Eigenvalue Problem

open access: yesOpen Mathematics, 2019
In the linear response eigenvalue problem arising from computational quantum chemistry and physics, one needs to compute a few of smallest positive eigenvalues together with the corresponding eigenvectors.
Teng Zhongming, Zhong Hong-Xiu
doaj   +1 more source

A projected Hessian Gauss‐Newton algorithm for solving systems of nonlinear equations and inequalities

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 25, Issue 6, Page 397-409, 2001., 2001
Solving systems of nonlinear equations and inequalities is of critical importance in many engineering problems. In general, the existence of inequalities in the problem adds to its difficulty. We propose a new projected Hessian Gauss‐Newton algorithm for solving general nonlinear systems of equalities and inequalities.
Mahmoud M. El-Alem   +2 more
wiley   +1 more source

Matrix splitting principles

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 28, Issue 5, Page 251-284, 2001., 2001
The systematic analysis of convergence conditions, used in comparison theorems proven for different matrix splittings, is presented. The central idea of this analysis is the scheme of condition implications derived from the properties of regular splittings of a monotone matrix A = M1 − N1 = M2 − N2.
Zbigniew I. Woźnicki
wiley   +1 more source

A fully parallel method for tridiagonal eigenvalue problem

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 17, Issue 4, Page 741-752, 1994., 1994
In this paper, a fully parallel method for finding all eigenvalues of a real matrix pencil (A, B) is given, where A and B are real symmetric tridiagonal and B is positive definite. The method is based on the homotopy continuation coupled with the strategy ?Divide‐Conquer? and Laguerre iterations.
Kuiyuan Li
wiley   +1 more source

Perturbations in a Signed Graph and its Index

open access: yesDiscussiones Mathematicae Graph Theory, 2018
In this paper we consider the behaviour of the largest eigenvalue (also called the index) of signed graphs under small perturbations like adding a vertex, adding an edge or changing the sign of an edge.
Stanić Zoran
doaj   +1 more source

Estimations for spectral radius of nonnegative matrices and the smallest eigenvalue of M-matrices

open access: yesJournal of Inequalities and Applications, 2014
In this paper, some estimations for the spectral radius of nonnegative matrices and the smallest eigenvalue of M-matrices are given by matrix directed graphs and their k-path covering.
Te Wang, Hongbin Lv, Haifeng Sang
semanticscholar   +2 more sources

Bound for the largest singular value of nonnegative rectangular tensors

open access: yesOpen Mathematics, 2016
In this paper, we give a new bound for the largest singular value of nonnegative rectangular tensors when m = n, which is tighter than the bound provided by Yang and Yang in “Singular values of nonnegative rectangular tensors”, Front. Math.
He Jun   +4 more
doaj   +1 more source

Some inequalities for nonnegative tensors

open access: yesJournal of Inequalities and Applications, 2014
Let A be a nonnegative tensor and x=(xi)>0 its Perron vector. We give lower bounds for xtm−1/∑xi2⋯xim and upper bounds for xsm−1/∑xi2⋯xim, where xs=max1≤i≤nxi and xt=min1≤i≤nxi.MSC:15A18, 15A69, 65F15, 65F10.
Jun He, Tingzhu Huang, G. Cheng
semanticscholar   +2 more sources

NONLINEAR RANK-ONE MODIFICATION OF THE SYMMETRIC EIGENVALUE PROBLEM *

open access: yes, 2010
Nonlinear rank-one modiflcation of the symmetric eigenvalue problem arises from eigenvibrations of mechanical structures with elastically attached loads and calculation of the propagation modes in optical flber.
Xin Huang, Z. Bai, Yangfeng Su
semanticscholar   +1 more source

A Geršgorin-type eigenvalue localization set with n parameters for stochastic matrices

open access: yesOpen Mathematics, 2018
A set in the complex plane which involves n parameters in [0, 1] is given to localize all eigenvalues different from 1 for stochastic matrices. As an application of this set, an upper bound for the moduli of the subdominant eigenvalues of a stochastic ...
Wang Xiaoxiao, Li Chaoqian, Li Yaotang
doaj   +1 more source

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