Various commonly used operations for Matrix operations, Mathematical calculations, Data Processing, Image processing, Signal processing, and different algorithms are tested.

Abstract: When addressing large-scale electromagnetic problems using the finite element method (FEM), the resulting matrices are typically sparse, necessitating numerous sparse matrix-vector ...

Abstract: In this paper we present a programming language for writing programs for matrices operations, such as addition, subtraction, multiplication, determinant, inverse and cofactors and so on.

Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...

College of Artificial Intelligence, National University of Defense Technology, Changsha, China. Since the end of the 20 th century, with the development and growth of the Internet, people’s demand for ...

DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, ...

The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, ...