GitHub

Solving large systems of linear equations using sparse matrix methods.

Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...
IEEE

Another perspective for linear equations, matrices and the technological tools in learning

Abstract: Matrices are important tools for many fields, and used in solving systems of linear equation. Technological tools are available to work with matrix operations, but still students avoid using ...
Scientific Research Publishing

The LA = U Decomposition Method for Solving Systems of Linear Equations ()

1 Department of Environmental Health Science, University of Eswatini, Mbabane, Eswatini. 2 Department of Chemistry, University of Eswatini, Kwaluseni, Eswatini. Systems of linear equations or ...
IEEE

A Discrete-Time Recurrent Neural Network for Solving Rank-Deficient Matrix Equations With ...

Abstract: This paper presents a discrete-time recurrent neural network approach to solving systems of linear equations with two features. First, the system of linear equations may not have a unique ...
Frontiers

Improving the convergence of an iterative algorithm for solving arbitrary linear equation ...

1 Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ, Brazil 2 Petróleo Brasileiro S.A., Centro de Pesquisas Leopoldo Miguez de Mello, Rio de Janeiro, Brazil Recent advancements in quantum ...
Simon Fraser University

Solving Linear Systems (NumPy)

Most linear algebra courses start by considering how to solve a system of linear equations. \[ \begin{align} a_{0,0}x_0 + a_{0,1}x_0 + \cdots a_{0,n-1}x_0 & = b_0 ...