Enhancement of subspace iteration method (1st report, Basic study)
نویسندگان
چکیده
منابع مشابه
An Accelerated Subspace Iteration Method
The analysis of a number of physical phenomena requires the solution of an eigenproblem. It is therefore natural that with the increased use of computational methods operating on discrete representations of physical problems the development of efficient algorithms for the calculation of eigenvalues and eigenvectors has attracted much attention [l]-[8]. In particular, the use of finite element a...
متن کاملThe subspace iteration method – Revisited
The objective in this paper is to present some recent developments regarding the subspace iteration method for the solution of frequencies and mode shapes. The developments pertain to speeding up the basic subspace iteration method by choosing an effective number of iteration vectors and by the use of parallel processing. The subspace iteration method lends itself particularly well to shared an...
متن کاملEnhancement of Krylov Subspace Spectral Methods by Block Lanczos Iteration
Abstract. This paper presents a modification of Krylov subspace spectral (KSS) methods, which build on the work of Golub, Meurant and others, pertaining to moments and Gaussian quadrature to produce high-order accurate approximate solutions to variable-coefficient time-dependent PDEs. Whereas KSS methods currently use Lanczos iteration to compute the needed quadrature rules, our modification us...
متن کاملSpeech enhancement based on the subspace method
A method of speech enhancement using microphonearray signal processing based on the subspace method is proposed and evaluated in this paper. The method consists of the following two stages corresponding to the different types of noise. In the first stage, less-directional ambient noise is reduced by eliminating the noise-dominant subspace. It is realized by weighting the eigenvalues of the spat...
متن کاملSubspace Iteration for Eigenproblems
We discuss a novel approach for the computation of a number of eigenvalues and eigenvectors of the standard eigenproblem Ax = x. Our method is based on a combination of the Jacobi-Davidson method and the QR-method. For that reason we refer to the method as JDQR. The eeectiveness of the method is illustrated by a numerical example.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 1986
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.52.229