Abstract
In this paper, we develop symmetric successive overrelaxation (symmetric SOR or SSOR) methods for finding the least square solution of minimal norm to the linear system Ax=b where A is an mxn matrix of rank r. The methods are obtained by first augmenting the system to a block 4x4 consistent system. The augmented coefficient matrix is then split by a subproper SSOR splitting. We state and prove some theorems and by some numerical examples we show the number of iterations for SSOR is less than SOR and accelerated overrelaxation methods for finding the least square solution of minimal norm to the linear system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.