Date of Award
Summer 2012
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Civil & Environmental Engineering
Committee Director
Duc T. Nguyen
Committee Member
ManWo Ng
Committee Member
Julie Zhili Hao
Abstract
Efficient numerical procedures for finding the generalized (or pseudo) inverse of a general (square/rectangle, symmetrical/unsymmetrical, non-singular/singular, real/complex numbers) matrix and solving systems of Simultaneous Linear Equations (SLE) are formulated and explained. The developed procedures and its associated computer software (under MATLAB computer environment) have been based on "special Cholesky factorization schemes" (for a singular matrix), the generalized inverse of the matrix product, and were further enhanced by the Domain Decomposition (DD) formulation.
Test matrices from different fields of applications have been chosen, tested and compared with other existing algorithms. The results of the numerical tests have indicated that the developed procedures are far more efficient than existing algorithms. Furthermore, an educational version of the generalized inverse algorithms and software for solving SLE has also been developed to run any FORTRAN and/or 'C' programs over the web. This developed technology and software is freely available and can run on any device with internet connectivity and browser capability.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/fwcf-9z49
ISBN
9781267668301
Recommended Citation
Kadiam, Subhash C..
"Efficient Stand-Alone Generalized Inverse Algorithms and Software for Engineering/Sciences Applications: Research and Education"
(2012). Doctor of Philosophy (PhD), Dissertation, Civil & Environmental Engineering, Old Dominion University, DOI: 10.25777/fwcf-9z49
https://digitalcommons.odu.edu/cee_etds/51