These methods require linear algebra operations, including sparse matrix-vector multiplication which can be computationally expensive for large size matrices. In this paper, we present the best way to ...

In this paper, we propose a new algorithm based on the sparse non-negative matrix factorization (NNMF) to estimate the phase of a signal or an image in an iterative manner. Experimental reconstruction ...

A highly efficient solver for Ax = b, capable of solving sparse symmetric matrices in Compressed Sparse Row (CSR) format of size 100,000 x 100,000. Implemented in C using Successive Over-Relaxation ...