most citedOn the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues

4 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MM2015

A new approach for image compression using normal matrices

E. Kokabifar, G. B. Loghmani, A. Latif

In this paper, we present methods for image compression on the basis of eigenvalue decomposition of normal matrices. The proposed methods are convenient and self-explanatory, requi…

math.NA2015★ 1 cited

Digital image watermarking using normal matrices

E. Kokabifar, G. B. Loghmani, A. Latif

This paper presents techniques for digital image watermarking based on eigenvalue decomposition of normal matrices. The introduced methods are convenient and self-explanatory, achi…

math.NA2014★ 1 cited

On the distance from a weakly normal matrix polynomial to matrix polynomials with a prescribed multiple eigenvalue

E. Kokabifar, G. B. Loghmani, P. J. Psarrakos

Consider an matrix polynomial . An upper bound for a spectral norm distance from to the set of matrix polynomials that have a given scalar $μ…

math.NA2014★ 1 cited

On the distance from a matrix polynomial to matrix polynomials with prescribed distinct eigenvalues

E. Kokabifar, G. B. Loghmani, P. J. Psarrakos +1

Consider an matrix polynomial and a set consisting of distinct complex numbers. In this paper, a (weighted) spectral norm distance from to t…

math.NA2014

On the distance from a normal matrix polynomial to the set of matrix polynomials with a prescribed multiple eigenvalue

Esmaeil Kokabifar, Ghasem Barid Loghmani

This paper concerns the bounds for spectral norm distance from a normal matrix polynomial to the set of matrix polynomials that have as a multiple eigenvalue. Also const…

math.NA2014★ 4 cited

On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues

Esmaeil Kokabifar, G. B. Loghmani, A. M. Nazari +1

Consider an matrix polynomial . A spectral norm distance from to the set of matrix polynomials that have a given scalar as a…