Abstract: This paper presents a novel approach for performing iterative computations distributed across a network of FPGAs. For example, approximate computing of the Gauss-Jacobi iterative method is ...

The Wilson Center’s prestigious Latin America Program provides non-partisan expertise to a broad community of decision makers in the United States and Latin America on critical policy issues facing ...

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

Serial and Parallel numerical methods for solving partial differential equations using finite differences with OpenMP. Implementation of the serial and parallel Jacobi and Gauss-Seidel methods for ...

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...

Abstract: We present a novel distributed Gauss-Newton method for the non-linear state estimation (SE) model based on a probabilistic inference method called belief propagation (BP). The main novelty ...

A relic from long before the age of supercomputers, a 169-year-old math strategy called the Jacobi iterative method is widely dismissed today as too slow to be useful. But thanks to a curious, numbers ...

ABSTRACT: Adaptive wave model for financial option pricing is proposed, as a high-complexity alternative to the standard Black-Scholes model. The new option-pricing model, representing a controlled ...