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 ...

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

Leopard is a fast, modern implementation of sparse, multifrontal symmetric indefinite matrix factorization. It lets you factorize and solve for large sparse matrices much faster than what is possible ...

Abstract: Nonnegative matrix factorization/approximation (NMF) is a recently developed technology for dimensionality reduction and parts based data representation ...

Abstract: Symmetric dense Eigen value problems arise in many scientific and engineering simulations. In this paper, we use GPUs to accelerate its main computational kernel, the tridiagonalization of a ...

In this paper several algorithms for finding the eigenvalues of real symmetric matrices are discussed and compared. The algorithms have been programmed by the author for the IBM 7094. Descriptions of ...

In this paper, we explore the inverse spectral problem for a kind of pseudo-symmetric matrix A(ε,c,s) that corresponds to a graph of a banana tree when all ε=1. The problem of reconstructing ...

Inspired by recent work in the theory of central projections onto hypersurfaces, we characterize self-linked perfect ideals of grade 2 as those with a Hilbert-Burch matrix that has a maximal symmetric ...