What are Machine learning algorithms in Python? Which guide should I choose?"- This guide explains explicitly the operation of Machine Learning methods and how to implement them in Python. Whether you ...

Abstract: Summary form only given. We describe a novel parallel algorithm that implements a dense matrix multiplication operation with algorithmic efficiency equivalent to that of Cannon's algorithm.

Abstract: Nowadays high-performance computing is gradually implementing Exa-scale computing, and the performance of single node has reached several T-flops. Communication problem has become one of the ...

Matrix classes for matrices that are block-tridiagonal and sparse, and simply "block sparse". These talk together, and furthermore containts an algorithm for inversion of the block-tridiagonal version ...

A couple of projects developed in OCTAVE for numerical analysis of Non-linear Equations, solve Defined Integrals, numerical solution of Ordinary and Partial Differential Equations, Interpolation, and ...

ABSTRACT: Embedded systems used in real-time applications require low power, less area and high computation speed. For digital signal processing, image processing and communication applications, data ...

As our computing capabilities grow, the size and complexity of numerical simulations and data analysis that today’s computational scientists conduct continue to increase. The gap between the peak ...