An extensive mathematical computation library implementing advanced matrix and vector operations. This project demonstrates proficiency in mathematical algorithms, memory management, and modular ...

Abstract: Matrix-vector operations play pivotal role in engineering and scientific applications ranging from machine learning to computational finance. Matrix-vector operations have time complexity of ...

Computational efficiency is crucial when performing large-scale matrix and vector operations in machine learning, data science, and scientific computing. The choice of the computational backend—NumPy ...

Abstract: We evaluate optimized parallel sparse matrix-vector operations for two representative application areas on widespread multicore-based cluster configurations. First the single-socket baseline ...

A cycle-accurate alternative to speculation — unifying scalar, vector and matrix compute ...

The * means the namespace for all functions in SymPy are loaded, so we can call them directly without having to preface them with the package name. Vectors and Matrices are created as instances of a ...

With the advances in technology, it is noticeable the educational potential of animation in the field of cell biology, physiology and other basic life science disciplines, revolutionizing the learning ...