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 ...
Abstract: Matrix diagonalization (or termed, matrix eigen-decomposition) is a vital part of matrix theory. Different from static matrix diagonalization problem, in this paper, the more challenging ...
Abstract: In this communication, we consider the problem of the joint- diagonalization of square complex tensors through a least- squares approach. In particular, this allows us to show that recent ...
In this article we aim to find the constraints on the quark mass matrices for the symmetric Cabibbo-Kobayashi-Maskawa (CKM) matrix V. We work in the bases, where (i) Mu is diagonal, (ii) Md is ...
Diagonalisation of a matrix is the process of reduction of a matrix to diagonal form. The process of reduction of a matrix to diagonal form is as follows: A square matrix of order n with n linearly ...
In previous work, the author used the trace theorem and the inverse matrix formula for the coefficient matrix appearing in the conjugate gradient method to propose a method for derivative a ...
This is a preview. Log in through your library . Journal Information Econometric Theory provides an authoritative outlet for original contributions in all of the major areas of econometrics. As well ...
Nanotubes can be characterized by a very high point symmetry, comparable or even larger than the one of the most symmetric crystalline systems (cubic, 48 point symmetry operators). For example, N = 2n ...
For a symmetric correlation matrix, the Inverse Correlation Matrix table contains the inverse of the correlation matrix, as shown in Figure 40.14. The diagonal elements of the inverse correlation ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback