نتایج جستجو برای: matrix geometric technique

تعداد نتایج: 1024998  

Journal: :journal of linear and topological algebra (jlta) 0
m. s. lone dept.of mathematics, annamalai university, chidambaram, tamilnadu india - 608002 d. krishnaswamy associate professor, dept. of mathematics, annamalai university, annamalainagar, chidambaram, tamilnadu

in this paper we study the impact of minkowski metric matrix on a projection in theminkowski space m along with their basic algebraic and geometric properties.the relationbetween the m-projections and the minkowski inverse of a matrix a in the minkowski spacemis derived. in the remaining portion commutativity of minkowski inverse in minkowski spacem is analyzed in terms of m-projections as an a...

2011
Rajendra Bhatia Rajeeva L. Karandikar

An attractive candidate for the geometric mean of m positive definite matrices A1, . . . , Am is their Riemannian barycentre G. One of its important properties, monotonicity in the m arguments, has been established recently by J. Lawson and Y. Lim. We give a much simpler proof of this result, and prove some other inequalities. One of these says that, for every unitarily invariant norm, |||G||| ...

2009
Federico Poloni

In this paper, we analyze the process of “assembling” new matrix geometric means from existing ones, and show what new means can be found, and what cannot be done because of group-theoretical obstructions. We show that for n = 4 a new matrix mean exists which is simpler to compute than the existing ones. Moreover, we show that for n > 4 the existing strategies of composing matrix means and taki...

2018
Kai-Lang Yao Wu-Jun Li

Geometric matrix completion (GMC) has been proposed for recommendation by integrating the relationship (link) graphs among users/items into matrix completion (MC) . Traditional GMC methods typically adopt graph regularization to impose smoothness priors for MC. Recently, geometric deep learning on graphs (GDLG) is proposed to solve the GMC problem, showing better performance than existing GMC m...

Journal: :wavelet and linear algebra 2015
m. khosravi a. sheikhhosseini

for a ∈ mn, the schur multiplier of a is defined as s a(x) =a ◦ x for all x ∈ mn and the spectral norm of s a can be stateas ∥s a∥ = supx,0 ∥a ∥x ◦x ∥ ∥. the other norm on s a can be definedas ∥s a∥ω = supx,0 ω(ω s( ax (x ) )) = supx,0 ωω (a (x ◦x ) ), where ω(a) standsfor the numerical radius of a. in this paper, we focus on therelation between the norm of schur multiplier of product of matric...

Journal: :Linear Algebra and its Applications 2006

Journal: :Differential Geometry and its Applications 2017

Journal: :ISPRS Int. J. Geo-Information 2016
Bart Kuijpers Bart Moelans

We study the double-cross matrix descriptions of polylines in the two-dimensional plane. The double-cross matrix is a qualitative description of polylines in which exact, quantitative information is given up in favour of directional information. First, we give an algebraic characterization of the double-cross matrix of a polyline and derive some properties of double-cross matrices from this cha...

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