vol18_pp264-273. 125KB Jun 04 2011 12:06:03 AM
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In this paper, we study the Moore-Penrose inverse of a symmetric rank-one perturbed matrix from which a finite method is proposed for the minimum-norm least-squares solution to
The problem of finding explicit representations for the Drazin inverse of a general 2 × 2 block matrix in terms of its blocks was posed by Campbell and Meyer in [2].. Since
In the study of the combinatorially symmetric TN completion problem [JKL], it is shown that for every partial TN matrix with specified entries corresponding to a monotonically
For normal matrices in WPFn and those in WPFn for which the spectral radius is simple, we present approximating matrices that satisfy the strong P-F property and are polynomials
result and known Perron-Frobenius theory of eventually nonnegative matrices are used to establish an algorithm to determine whether a matrix is strongly eventually nonnegative (i.e.,
Our heuristic claims that, in the absence of any other algebraic structure, the probability that each matrix in a space of n by n matrices has rank n − r should be
Esslamzadeh, Banach algebra structure and amenability of a class of matrix algebras with applications, J. Zhang, Generalized notions of
We now consider the following example of probabilistic ϕ-2-normed space having as base spaces sets of random variables with values in a Banach algebra.. The study of
