This is a collection of utilities to solve systems of linear equations. They are written in Python and use numpy and matplotlib. Numerous examples are provided. More details about the algorithm can be ...
Sinc methods are now recognized as an efficient numerical method for problems whose solutions may have singularities, or infinite domains, or boundary layers. This work deals with the sinc-collocation ...
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 ...
The aim of this project is to compare and analyze the behavior of the different numerical methods used for solving system of linear equations: Gauss Elimination. Gauss Jordan. LU Decomposition. Gauss ...
Abstract: There are some quasi-tridiagonal system of linear equations arising from numerical simulations, and some solving algorithms encounter great challenge on solving quasi-tridiagonal system of ...
Computer scientists have devised an innovative and elegantly concise algorithm that can efficiently solve systems of linear equations that are critical to such important computer applications as image ...
School of Mathematics and Computer Science, National University of Mongolia, Ulan-Bator, Mongolia. School of Mathematics and Computer Science, National University of Mongolia, Ulan-Bator, ...
Abstract: This paper presents application of modified Jaya algorithm for solving system of non-linear equations. The most popular methods for solving system of nonlinear equations are fixed point ...
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