Results 31 to 40 of about 52,672 (321)
Robust Preconditioners for Incompressible MHD Models
, 2015 In this paper, we develop two classes of robust preconditioners for the structure-preserving discretization of the incompressible magnetohydrodynamics (MHD) system.
Hu, Kaibo +3 more
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Efficient preconditioners for saddle point systems with trace constraints coupling 2D and 1D domains
, 2016 We study preconditioners for a model problem describing the coupling of two elliptic subproblems posed over domains with different topological dimension by a parameter dependent constraint.
Kuchta, Miroslav +4 more
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Advances in Mechanical Engineering, 2018 In this article, to better implement the modified positive-definite and skew-Hermitian splitting preconditioners studied recently (Numer. Algor., 72 (2016) 243–258) for generalized saddle point problems, a class of inexact modified positive-definite and ...
Qin-Qin Shen, Quan Shi
doaj +1 more source
Progressive Iterative Approximation with Preconditioners
Mathematics, 2020 The progressive iterative approximation (PIA) plays an important role in curve and surface fitting. By using the diagonally compensated reduction of the collocation matrix, we propose the preconditioned progressive iterative approximation (PPIA) to ...
Chengzhi Liu, Zhongyun Liu
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Parallel Rayleigh Quotient Optimization with FSAI-Based Preconditioning
Journal of Applied Mathematics, 2012 The present paper describes a parallel preconditioned algorithm for the solution of partial eigenvalue problems for large sparse symmetric matrices, on parallel computers.
Luca Bergamaschi +2 more
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Scalable Block Preconditioners for Linearized Navier-Stokes Equations at High Reynolds Number
Algorithms, 2020 We review a number of preconditioners for the advection-diffusion operator and for the Schur complement matrix, which, in turn, constitute the building blocks for Constraint and Triangular Preconditioners to accelerate the iterative solution of the ...
Filippo Zanetti, Luca Bergamaschi
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, 2017 The importance of Schur complement based preconditioners are well-established for classical saddle point problems in $\mathbb{R}^N \times \mathbb{R}^M$. In this paper we extend these results to multiple saddle point problems in Hilbert spaces $X_1\times ...
Sogn, Jarle, Zulehner, Walter
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Clusters, preconditioners, convergence
Linear Algebra and its Applications, 1997 The authors address the problem of clusterization of singular values. In this context, they present a technique that relates the existence of clusters of singular values to the existence of clusters of eigenvalues. This clusterization technique is based on the notion of regular preconditioners for a sequence of complex matrices.
Tyrtyshnikov, E.E. +2 more
openaire +1 more source
Advances in Electrical and Electronic Engineering, 2015 The analysis and design of electromechanical devices involve the solution of large sparse linear systems, and require therefore high performance algorithms.
Daniel Marcsa, Miklos Kuczmann
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On comparison results for K-nonnegative double splittings of different K-monotone matrices
AIMS Mathematics, 2021 The comparison results for K-double splittings of one K-monotone matrix are established in the literatures. As comparison theorems between the spectral radii of different matrices are a useful tool for judging the efficiency of preconditioners, we ...
Ting Huang, Shu-Xin Miao
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