Rahmani, M.Momeni-Masuleh, S. H.2024-07-122024-07-122009Rahmani, M. ve Momeni-Masuleh, S. H. (2009). Application Of generalized purcell method for real eigenvalue problems. Maltepe Üniversitesi. s. 252.9.78605E+12https://hdl.handle.net/20.500.12415/2310In numerical linear algebra, the singular value decomposition (SVD) is an important factorization of a rectangular real or complex matrix, with several applications in signal and image processing, image compression and statistics. A new method based on generalized Purcell method for real eigenvalue problem and QR decomposition of an arbitrary matrix is proposed. The method in comparison to the inverse power method generates better results and has less computational cost. In addition, the method obtains directly the rank of a matrix and gives linearlly independent eigenvectors corresponding to an eigenvalue.enCC0 1.0 Universalinfo:eu-repo/semantics/openAccessApplication Of generalized purcell method for real eigenvalue problemsConference Object253252