Scientific Research Publishing

Derivative of a Determinant with Respect to an Eigenvalue in the Modified Cholesky Decomposition of a Symmetric Matrix, with Applications to Nonlinear Analysis ()

In this paper, we obtain a formula for the derivative of a determinant with respect to an eigenvalue in the modified Cholesky decomposition of a symmetric matrix, a characteristic example of a direct ...
Scientific Research Publishing

Solvability of Inverse Eigenvalue Problem for Dense Singular Symmetric Matrices ()

Department of Mathematics and Computer Science, Eastern Connecticut State University, Willimantic, USA. Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
IEEE

Skew Hadamard, Amicable, and Symmetric Matrices

Abstract: This chapter deals with skew Hadamard, amicable, and symmetric matrices. Amicable orthogonal designs have flowered from the concept of amicable Hadamard matrices. The chapter examines skew ...
IEEE

Semi-Supervised Symmetric Non-Negative Matrix Factorization With Low-Rank Tensor Representation

Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
GitHub

Symmetric Non-negative Matrix Factorization (SymNMF) Clustering Project

This project implements a clustering algorithm based on Symmetric Non-negative Matrix Factorization (SymNMF) and compares its performance with K-means clustering. The algorithm applies to multiple ...