A Symbol-Based Analysis for Multigrid Methods for Block-Circulant and Block-Toeplitz Systems

نویسندگان

چکیده

In the literature, there exist several studies on symbol-based multigrid methods for solution of linear systems having structured coefficient matrices. particular, convergence analysis such has been obtained in an elegant form case Toeplitz matrices generated by a scalar-valued function. block-Toeplitz setting, that is, where matrix entries are small generic instead scalars, some algorithms have already proposed regarding specific applications, and first rigorous performed [M. Donatelli et al., Numer. Linear Algebra Appl., 28 (2021), e2356]. However, with existent theoretical tools, it is still not possible to prove many known literature. This paper aims generalize previous results, giving more general sufficient conditions symbol grid transfer operators. we treat matrix-valued trigonometric polynomials which can be nondiagonalizable singular at all points, express new terms eigenvectors associated ill-conditioned subspace. Moreover, extend V-cycle method, proving rate under stronger conditions, resemble those given scalar case. order validate our findings, present classical block problem stemming from FEM approximation second differential problem. We focus two strategies use geometric standard bisection operators both fall into category projectors satisfying conditions. addition, using tensor product argument, provide strategy construct efficient procedures multilevel setting.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multigrid Methods for Block Toeplitz Matrices

We extend the theory of Multigrid methods developed for PDE, Toeplitz and related matrices to the Block Toeplitz case. Prolongations and restrictions are defined depending on the zeroes of the generating function of the Block Toeplitz matrix. On numerical examples we compare different choices for prolongations and restrictions.

متن کامل

Compact Fourier Analysis for Multigrid Methods based on Block Symbols

The notion of Compact Fourier Analysis (CFA) is discussed. The CFA allows description of multigrid (MG) in a nutshell and offers a clear overview on all MG components. The principal idea of CFA is to model the MG mechanisms by means of scalar generating functions and matrix functions (block symbols). The formalism of the CFA approach is presented by describing the symbols of the fine and coarse...

متن کامل

Architectures for block Toeplitz systems

In this paper efficient VLSI architectures of highly concurrent algorithms for the solution of block linear systems with Toeplitz or near-to-Toeplitz entries are presented. The main features of the proposed scheme are the use of scalar only operations, multiplications/divisions and additions, and the local communication which enables the development of wavefront array architecture. Both the mea...

متن کامل

A fast algorithm for Toeplitz-block-Toeplitz linear systems

ABSTRACT A Toeplitz-block-Toeplitz (TBT) matrix is block Toeplitz with Toeplitz blocks. TBT systems of equations arise in 2D interpolation, 2-D linear prediction and 2-D least-squares deconvolution problems. Although the doubly Toeplitz structure should be exploitable in a fast algorithm, existing fast algorithms only exploit the block Toeplitz structure, not the Toeplitz structure of the block...

متن کامل

Symbol-Based Multigrid Methods for Galerkin B-Spline Isogeometric Analysis

We consider the stiffness matrices coming from the Galerkin B-spline isogeometric analysis approximation of classical elliptic problems. By exploiting specific spectral properties compactly described by a symbol, we design efficient multigrid methods for the fast solution of the related linear systems. We prove the optimality of the two-grid methods (in the sense that their convergence rate is ...

متن کامل

ذخیره 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: SIAM Journal on Matrix Analysis and Applications

سال: 2022

ISSN: ['1095-7162', '0895-4798']

DOI: https://doi.org/10.1137/21m1390554