This program receives a square matrix mat and returns the sum of the matrix diagonals, as specified below: The sum includes all the elements on the primary diagonal. The sum also includes all the ...
1 Department of Mathematics, Faculty of Science, Menoufia University, Shebeen El-Kom, Egypt. 2 Department of Mathematics, Faculty of Science, Zagazig University, Ash Sharqiyah, Egypt. In many ...
Abstract: In this paper, we present a novel formulation of Approximate Simultaneous Diagonalization (ASD) with a nonconvex feasibility problem to find a structured low rank matrix whose building ...
Given a square matrix mat, return the sum of the matrix diagonals. Only include the sum of all the elements on the primary diagonal and all the elements on the secondary diagonal that are not part of ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle ...
Abstract: The paper addresses the blind signal separation problem in the presence of sensor noise for the case where the source signals are non-stationary and/or non-white. This problem can be ...
We study several variants of decomposing a symmetric matrix into a sum of a low-rank positive semidefinite matrix and a diagonal matrix. Such decompositions have applications in factor analysis and ...
A real square matrix whose non-diagonal elements are non-positive is called a Z-matrix. The purpose of this paper is to show a necessary and sufficient condition for non-singularity of two types of ...
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