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This project focuses on efficiently handling sparse matrices—matrices in which a significant number of elements are zero. Instead of storing every element, including zeros, we optimize memory usage by ...

The storage of non-zero elements of sparse matrix in the linked lists can dispense with transpose operation in the multiplication process, because multiplication shall be conducted only for elements ...

Sparse NMF method can be adopted to get a sparse representation on fMRI data, where H represents the sparse linear superposition coefficient of the basis W. The interpretation of the model built by ...

This article reviews the development of sparse representation, and explains its applications in bioinformatics, namely the use of low-rank representation matrices to identify and study cancer ...

Here we present an efficient, yet nonlinear scaling, algorithm for the computation of Cholesky factors of sparse symmetric positive definite matrices and their inverses. The key feature of this ...

The storage of non-zero elements of sparse matrix in the linked lists can dispense with transpose operation in the multiplication process, because multiplication shall be conducted only for elements ...