This project presents the implementation of basic sparse matrix manipulation routines. In scientific computing, sparse matrices arise from the discretization of partial differential equations in ...

Sparse matrices are matrices that have a lot of zero entries, which means they can waste a lot of memory and computation time if stored and manipulated in the usual way. Fortunately, there are several ...

Abstract: Sparse matrices and linear algebra are at the heart of scientific simulations. More than 70 sparse matrix storage formats have been developed over the years, targeting a wide range of ...

Sparse binary matrices, say A ∈ {0, 1} n×N, with n ≪ N are widely used in applications including graph sketching [2, 3], network tomography [4, 5], data streaming [6, 7], breaking privacy of databases ...

Primary Algorithm : Algorithmically, Sparse-Sparse multiplication problems manifests itself in three possible forms:(a) Multiplication of a sparse matrix with a sparse diagonal, sparse block-diagonal, ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

Single precision sparse matrices are now available in MATLAB. Sounds like one new feature but I think this represents MANY new features and this addition represents a huge amount of work. In my latest ...