نتایج جستجو برای: matrix majorization

تعداد نتایج: 365508  

2008
A. Salemi

Let Mn,m be the set of all n × m matrices with entries in F, where F is the field of real or complex numbers. A matrix R ∈ Mn with the property Re=e, is said to be a g-row stochastic (generalized row stochastic) matrix. Let A,B∈ Mn,m, so B is said to be gw-majorized by A if there exists an n×n g-row stochastic matrix R such that B=RA. In this paper we characterize all linear operators that stro...

Journal: :sahand communications in mathematical analysis 0
mohammad ali hadian nadoshan department of mathematics, vali-e-asr university of rafsanjan, zip code: 7718897111, rafsanjan, iran. hamid reza afshin department of mathematics, vali-e-asr university of rafsanjan, zip code: 7718897111, rafsanjan, iran.

in this paper we study the concept of latin-majorizati-on. geometrically this concept is different from other kinds of majorization in some aspects. since the set of all $x$s latin-majorized by a fixed $y$ is not convex, but, consists of :union: of finitely many convex sets. next, we hint to linear preservers of latin-majorization on $ mathbb{r}^{n}$ and ${m_{n,m}}$.

F. Khalooei

For vectors X, <span style="fon...

2014
István Szöllősi

We explore the combinatorial properties of a particular type of extension monoid product of preinjective Kronecker modules. The considered extension monoid product plays an important role in matrix completion problems. We state theorems which characterize this product in both implicit and explicit ways and we prove that the conditions given in the definition of the generalized majorization are ...

Journal: :Canadian Mathematical Bulletin 2021

Journal: :Linear Algebra and its Applications 1985

Journal: :Hacettepe journal of mathematics and statistics 2021

In this paper, we give the factorizations of Lucas and inverse matrices. We also investigate Cholesky factorization symmetric matrix. Moreover, obtain upper lower bounds for eigenvalues matrix by using some majorization techniques.

Journal: :Linear Algebra and its Applications 2007

Journal: :Optimization Methods and Software 2015
Yue Lu Liwei Zhang Jia Wu

We discuss the l2-lp (with p ∈ (0, 1)) matrix minimization for recovering low rank matrix. A smoothing approach is developed for solving this non-smooth, non-Lipschitz and non-convex optimization problem, in which the smoothing parameter is used as a variable and a majorization method is adopted to solve the smoothing problem. The convergence theorem shows that any accumulation point of the seq...

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