TAMU Homepage TAMU Libraries Homepage TAMU Digital Library Homepage

Support graph preconditioners for sparse linear systems

Show full item record

Title: Support graph preconditioners for sparse linear systems
Author: Gupta, Radhika
Abstract: Elliptic partial differential equations that are used to model physical phenomena give rise to large sparse linear systems. Such systems can be symmetric positive definite and can be solved by the preconditioned conjugate gradients method. In this thesis, we develop support graph preconditioners for symmetric positive definite matrices that arise from the finite element discretization of elliptic partial differential equations. An object oriented code is developed for the construction, integration and application of these preconditioners. Experimental results show that the advantages of support graph preconditioners are retained in the proposed extension to the finite element matrices.
Publisher: Texas A&M University
Subject: preconditioning
conjugate gradients method
support theory
finite element method
URI: http://hdl.handle.net/1969.1/1353
Date: 2004-12

Citation

Gupta, Radhika (2004). Support graph preconditioners for sparse linear systems. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from http : / /hdl .handle .net /1969 .1 /1353.

Files in this item

Files Size Format View
etd-tamu-2004C-2-CPSC-Gupta.pdf 546.2Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record