A MATLAB project comparing the performance (time, iterations) of from-scratch implementations of direct and iterative methods (Gaussian Elimination, Gauss-Jordan Elimination, LU, Jacobi, Gauss-Seidel, ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

Abstract: The LU decomposition is an essential element used in many linear algebra applications. Furthermore, it is used in LINPACK to benchmark the performance of modern multi-core processor ...

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 ...

Linear Equations solver project done using Matlab, uses different method to solve the equations as Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, and Jacobi Iterative Method ...

Abstract: Acceleration of in-core LU decomposition by using multiple GPUs in parallel is presented in this paper. Memory limitations of GPUs are overcome by using block LU decomposition, where the ...

ABSTRACT: The present paper introduces a new approach to simulate any stationary multivariate Gaussian random field whose cross-covariances are predefined continuous and integrable functions. Such a ...