Results 11 to 20 of about 155 (114)

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

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

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

On the Yang-Baxter-like matrix equation for rank-two matrices

open access: yesOpen Mathematics, 2017
Let A = PQT, where P and Q are two n × 2 complex matrices of full column rank such that QTP is singular. We solve the quadratic matrix equation AXA = XAX.
Zhou Duanmei, Chen Guoliang, Ding Jiu
doaj   +1 more source

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

Inverse Toeplitz Preconditioners for Ill-Posed Problems [PDF]

open access: yes, 1997
It has been shown recently that iterative regularization using conjugate gradient type methods for image restoration problems can be effectively preconditioned with circulant approximations.
James Nagy   +3 more
core   +1 more source

Computing the smallest singular triplets of a large matrix

open access: yesResults in Applied Mathematics, 2019
In this paper we present a new type of restarted Krylov methods for calculating the smallest singular triplets of a large sparse matrix, A. The new framework avoids the Lanczos bidiagonalization process and the use of polynomial filtering.
Achiya Dax
doaj   +1 more source

THE HYPERBOLIC QUADRATIC EIGENVALUE PROBLEM

open access: yesForum of Mathematics, Sigma, 2015
The hyperbolic quadratic eigenvalue problem (HQEP) was shown to admit Courant–Fischer type min–max principles in 1955 by Duffin and Cauchy type interlacing inequalities in 2010 by Veselić.
XIN LIANG, REN-CANG LI
doaj   +1 more source

Improving the localization of eigenvalues for complex matrices [PDF]

open access: yes, 2020
In this paper, we give a new bound for Schur, Kress, and Eberlein's inequalities. By using this estimate, we provide disks and rectangles which include the eigenvalues of a complex matrix and then we compare these regions.
R Rakhshanipur, P Sargolzaei
core  

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