A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.

There are several methods of solving a system of linear equations,. some of which are direct methods and others are iterative methods. In this work, .we study direct methods specifically Gaussian elimination and Cholesky decomposition and make a comparison between the two. It is found out that Gauss...

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Main Author: Niringiye, Richard
Format: Thesis
Language:en_US
Published: Kabale University 2024
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Online Access:http://hdl.handle.net/20.500.12493/1702
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author Niringiye, Richard
author_facet Niringiye, Richard
author_sort Niringiye, Richard
collection KAB-DR
description There are several methods of solving a system of linear equations,. some of which are direct methods and others are iterative methods. In this work, .we study direct methods specifically Gaussian elimination and Cholesky decomposition and make a comparison between the two. It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cholesky decomposition is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions.
format Thesis
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language en_US
publishDate 2024
publisher Kabale University
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spelling oai:idr.kab.ac.ug:20.500.12493-17022024-06-12T12:50:27Z A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations. Niringiye, Richard Comparison Gaussian Elimination Cholesky Decomposition Methods Solving System Linear Equations There are several methods of solving a system of linear equations,. some of which are direct methods and others are iterative methods. In this work, .we study direct methods specifically Gaussian elimination and Cholesky decomposition and make a comparison between the two. It is found out that Gaussian elimination is an algorithm in linear algebra for solving a system of linear equations and can also be used to find the rank of a matrix, to calculate the determinant of a matrix, and to calculate the inverse of an invertible square matrix Whereas Cholesky decomposition is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, which is useful for efficient numerical solutions. 2024-01-17T08:42:04Z 2024-01-17T08:42:04Z 2021 Thesis Niringiye, Richard (2021). A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations. Kabale: Kabale University. http://hdl.handle.net/20.500.12493/1702 en_US Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf Kabale University
spellingShingle Comparison
Gaussian Elimination
Cholesky Decomposition Methods
Solving
System
Linear Equations
Niringiye, Richard
A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title_full A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title_fullStr A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title_full_unstemmed A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title_short A Comparison of Gaussian Elimination and Cholesky Decomposition Methods in Solving a System of Linear Equations.
title_sort comparison of gaussian elimination and cholesky decomposition methods in solving a system of linear equations
topic Comparison
Gaussian Elimination
Cholesky Decomposition Methods
Solving
System
Linear Equations
url http://hdl.handle.net/20.500.12493/1702
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