Abstract: In this paper Recurrent neural networks for solving linear matrix equations are proposed. we give an overview of recent research into recurrent algorithms for the solution of linear matrix ...

Quantum computers can be used to solve certain types of linear equations more efficiently than classical computers. One example of such an equation is the HHL algorithm, named after its inventors ...

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 ...

The aim of this study is to give a Legendre polynomial approximation for the solution of the second order linear hyper-bolic partial differential equations (HPDEs) with two variables and constant ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

⚗️ Parallel Linear Equations - Parallel computing using OpenMP to solve linear equation systems of the form Ax=b. The algorithm leverages the Gauss elimination method combined with backpropagation.

ABSTRACT: A method for solving systems of linear equations is presented based on direct decomposition of the coefficient matrix using the form LAX = LB = B’ . Elements of the reducing lower triangular ...

Simultaneous linear equations are used to model situations where two relationships must be satisfied at the same time. These problems often involve two interdependent variables, such as comparing ...