Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix computation on ...

There is increasing interest in the study of community detection for sparse networks. Here, we propose a new method for detecting communities in sparse networks that uses the symmetrized Laplacian ...

Sparse matrix which has 2 loops for printing and another function for transpose. - Releases · RichaP23/Sparse-Matrix-and-transpose-in-C ...

Sparse matrix is a kind of special matrix which is often studied by computer scientists, and computer scientists mainly study its storage structure and algorithm. In this paper, we conceive and design ...

The first stage estimates sparse target matrix with lesser computational cost by regularization technique. In the second stage, a loading matrix is rotated to the target, emphasizing on the ...

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In this paper, we propose a co-sparse non-negative matrix factorization framework to impose sparsity in both the coding matrix and the basis matrix. The co-sparsity is realized by limiting the total ...