vol18_pp761-772. 117KB Jun 04 2011 12:06:05 AM
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In this article a fast computational method is provided in order to calculate the Moore-Penrose inverse of full rank m × n matrices and of square matrices with at least one zero row
Closed-form formulas are derived for the rank and inertia of submatrices of the Moore–Penrose inverse of a Hermitian matrix.. A variety of consequences on the nonsingularity,
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
In [3], transformations of generating systems of Euclidean spaces are introduced based on the Moore-Penrose inverses of their Gram matrices in order to generalize the notion
Growth curve model, Moore-Penrose inverse of matrix, Rank formulas for matrices, Parameter matrix, WLSE, Extremal rank, Uniqueness, Unbiasedness.. They provide multiple observations
Also, it is proved that the bipartite graph or, equivalently, the zero pattern of a free matrix uniquely determines that of its Moore-Penrose inverse, and this mapping is
Closed-form formulas are derived for the rank and inertia of submatrices of the Moore–Penrose inverse of a Hermitian matrix.. A variety of consequences on the nonsingularity,
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
