Voß, HeinrichHeinrichVoß2006-03-022006-03-022000-07http://tubdok.tub.tuhh.de/handle/11420/170In this note we study a variant of the inverted Lanczos method which computes eigenvalue approximates of a symmetric matrix A from the projection to a Krylov space of A method at least as long as reorthogonalization is not required. The method is applied to the problem of determining the smallest eigenvalue of a symmetric Toeplitz matrix. It is accelerated taking advantage of symmetry properties of the corresponding eigenvector.enhttp://rightsstatements.org/vocab/InC/1.0/eigenvalue problemLanczos methodToeplitz matrixsymmetry propertiesMathematikWorking Paper2006-03-02urn:nbn:de:gbv:830-opus-232910.15480/882.168EigenwertproblemToeplitz-MatrixEigenvalues, eigenvectors11420/17010.15480/882.168930768090Other