IEEE

A discrete fractional Hankel transform based on the eigen decomposition of a symmetric kernel matrix of the discrete Hankel transform

Abstract: Recently a discrete Hankel transform (DHT) has been introduced using a symmetric involutory kernel matrix T. Although Namias contributed the fractional Hankel transform (FRHT) in 1980, no ...
SciELO

Joint Approximate Diagonalization of Symmetric Real Matrices of Order 2

The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...
University of Waterloo

Computational complexity of decomposing a symmetric matrix as a sum of positive semidefinite and diagonal matrices

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 ...
GitHub

diagonalization.md

Applied Linear Algebra. Contribute to UBCMath/MATH307 development by creating an account on GitHub.
GitHub

whyadiwhy/Symmetric-Matrix-Class

1)A header file that contains the definitions of symmetric matrix class---> SymMat 2)testcases.cpp that contains the testcases for using the SymMat class and Eigen library 3)Output images of the ...
IEEE

Orthogonal Symmetric Nonnegative Matrix Factorization With Low-Rank Tensor Representation for Multilayer Network Community Detection

Abstract: Multilayer networks community detection plays an important role in data mining. It can discover the latent representations of network structures for effectively completing downstream tasks.