The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...

In living rooms, bedrooms and dorm rooms around the country nearly two decades ago, an Xbox or PlayStation would power up and unleash that familiar proclamation: “EA SPORTS: It’s in the game.” The ...

This repository contains a Python implementation of the Gauss-Seidel Elimination method for solving systems of linear equations. The code reads coefficients from an ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I recently recently compared Java’s REPL scripting environment to Python’s. Many detractors felt ...

ABSTRACT: The aim of this paper is to give an appropriate numerical method to solve Allen-Cahn equation, with Dirichlet or Neumann boundary condition. The time discretization involves an explicit ...

In recent years, a number of preconditioners have been applied to solve the linear systems with Gauss-Seidel method (see [1-7,10-12,14-16]). In this paper we use S l instead of (S + S m) and compare ...

Abstract: While it is known that spatially-coupled low-density lattice codes (SC-LDLC) have better decoding performance than conventional (non-coupled) LDLC lattices, in this paper it is shown that ...

Abstract: Gauss - Seidel method is commonly used in solving general linear equations, and there are several known results about the convergence of it. In this paper, the necessary and sufficient ...