Results 11 to 20 of about 733 (176)

GMRES and Integral Operators [PDF]

open access: yesSIAM Journal on Scientific Computing, 1996
The purpose of this paper is to show how the generalized minimal residual (GMRES) method can be modified to incorporate Nyström interpolation at a small cost in both computational effort and algorithmic complexity. The result is an algorithm that has the convergence property of Broyden's method.
Carl T. Kelley, Z. Q. Xue
openaire   +1 more source

Adaptive version of Simpler GMRES [PDF]

open access: yesNumerical Algorithms, 2009
The authors propose and theoretically analyze a stable version of simpler generalized minimal residual (GMRES) algorithm, based on an adaptive choice of the Krylov subspace basis at a given iteration step. They show that this adaptive choice of direction vectors keeps the basis well-conditioned and that the condition number grows at most linearly with ...
Pavel Jiránek, Miroslav Rozlozník
openaire   +2 more sources

Iterated Gauss–Seidel GMRES

open access: yesSIAM Journal on Scientific Computing, 2023
The GMRES algorithm of Saad and Schultz (1986) is an iterative method for approximately solving linear systems $A{\bf x}={\bf b}$, with initial guess ${\bf x}_0$ and residual ${\bf r}_0 = {\bf b} - A{\bf x}_0$. The algorithm employs the Arnoldi process to generate the Krylov basis vectors (the columns of $V_k$).
Stephen J. Thomas   +4 more
openaire   +4 more sources

Properties of Worst-Case GMRES [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2013
In the convergence analysis of the GMRES method for a given matrix $A$, one quantity of interest is the largest possible residual norm that can be attained, at a given iteration step $k$, over all unit norm initial vectors. This quantity is called the worst-case GMRES residual norm for $A$ and $k$.
Vance Faber, Jörg Liesen, Petr Tichý
openaire   +3 more sources

A relaxed block splitting preconditioner for complex symmetric indefinite linear systems

open access: yesOpen Mathematics, 2018
In this paper, we propose a relaxed block splitting preconditioner for a class of complex symmetric indefinite linear systems to accelerate the convergence rate of the Krylov subspace iteration method and the relaxed preconditioner is much closer to the ...
Huang Yunying, Chen Guoliang
doaj   +1 more source

Projected Krylov Methods for Solving Non-Symmetric Two-by-Two Block Linear Systems Arising from Fictitious Domain Formulations

open access: yesAdvances in Electrical and Electronic Engineering, 2014
The paper deals with the solution of large non-symmetric two-by-two block linear systems with a singular leading submatrix. Our algorithm consists of two levels.
Radek Kucera   +4 more
doaj   +1 more source

DAPHNE-3D: A NEW TRANSPORT SOLVER FOR UNSTRUCTURED TETRAHEDRAL MESHES [PDF]

open access: yesEPJ Web of Conferences, 2021
A new Discrete Ordinates transport solver for unstructured tetrahedral meshes is presented. The solver uses the Discontinuous Galërkin Finite Element Method with linear or quadratic expansion of the flux within each cell.
Diamantopoulou Evangelia   +1 more
doaj   +1 more source

GMRES for the Differentiation Operator [PDF]

open access: yesSIAM Journal on Numerical Analysis, 2009
We investigate using the gmres method with the differentiation operator. This operator is unbounded and thus does not fall into the framework of existing Krylov subspace theory. We establish conditions under which a function can be approximated by its own derivatives in a domain of the complex plane.
openaire   +1 more source

Deflated GMRES with multigrid for lattice QCD

open access: yesPhysics Letters B, 2020
Lattice QCD solvers encounter critical slowing down for fine lattice spacings and small quark mass. Traditional matrix eigenvalue deflation is one approach to mitigating this problem.
Travis Whyte   +2 more
doaj   +1 more source

Complete stagnation of gmres

open access: yesLinear Algebra and its Applications, 2003
In their introduction, the authors state, ``We study an oddity: the class of problems for which the generalized minimal residual (GMRES) algorithm, when started with the initial guess \(x^{(0)}=0\) and using exact arithmetic, computes \(m\) iterates \(x^{(1)}=\cdots=x^{(m)}=0\) without making any progress at all.
Zavorin, Ilya   +2 more
openaire   +2 more sources

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