Preconditioners for Krylov subspace methods: An overview
When simulating a mechanism from science or engineering, or an industrial process, one is
frequently required to construct a mathematical model, and then resolve this model …
frequently required to construct a mathematical model, and then resolve this model …
Spectral analysis and structure preserving preconditioners for fractional diffusion equations
Fractional partial order diffusion equations are a generalization of classical partial
differential equations, used to model anomalous diffusion phenomena. When using the …
differential equations, used to model anomalous diffusion phenomena. When using the …
Spectral analysis and multigrid methods for finite volume approximations of space-fractional diffusion equations
We consider a boundary value problem in weak form of a steady-state Riesz space-
fractional diffusion equation (FDE) of order 2-α with 0<α<1. By using a finite volume …
fractional diffusion equation (FDE) of order 2-α with 0<α<1. By using a finite volume …
On τ-preconditioner for a novel fourth-order difference scheme of two-dimensional Riesz space-fractional diffusion equations
YY Huang, W Qu, SL Lei - Computers & Mathematics with Applications, 2023 - Elsevier
In this paper, a τ-preconditioner for a novel fourth-order finite difference scheme of two-
dimensional Riesz space-fractional diffusion equations (2D RSFDEs) is considered, in …
dimensional Riesz space-fractional diffusion equations (2D RSFDEs) is considered, in …
A note on parallel preconditioning for the all-at-once solution of Riesz fractional diffusion equations
The $ p $-step backwards difference formula (BDF) for solving the system of ODEs can result
in a kind of all-at-once linear systems, which are solved via the parallel-in-time …
in a kind of all-at-once linear systems, which are solved via the parallel-in-time …
[HTML][HTML] Matrix-oriented discretization methods for reaction–diffusion PDEs: Comparisons and applications
Abstract Systems of reaction–diffusion partial differential equations (RD-PDEs) are widely
applied for modeling life science and physico-chemical phenomena. In particular, the …
applied for modeling life science and physico-chemical phenomena. In particular, the …
Rational Krylov for Stieltjes matrix functions: convergence and pole selection
Evaluating the action of a matrix function on a vector, that is x= f (M) vx= f (M) v, is an
ubiquitous task in applications. When MM is large, one usually relies on Krylov projection …
ubiquitous task in applications. When MM is large, one usually relies on Krylov projection …
Solving rank-structured Sylvester and Lyapunov equations
We consider the problem of efficiently solving Sylvester and Lyapunov equations of medium
and large scale, in case of rank-structured data, ie, when the coefficient matrices and the …
and large scale, in case of rank-structured data, ie, when the coefficient matrices and the …
Quasi‐HSS iteration methods for non‐Hermitian positive definite linear systems of strong skew‐Hermitian parts
ZZ Bai - Numerical Linear Algebra with Applications, 2018 - Wiley Online Library
For large sparse non‐Hermitian positive definite linear systems, we establish exact and
inexact quasi‐HSS iteration methods and discuss their convergence properties. Numerical …
inexact quasi‐HSS iteration methods and discuss their convergence properties. Numerical …
Matrix equation techniques for certain evolutionary partial differential equations
D Palitta - Journal of Scientific Computing, 2021 - Springer
We show that the discrete operator stemming from time-space discretization of evolutionary
partial differential equations can be represented in terms of a single Sylvester matrix …
partial differential equations can be represented in terms of a single Sylvester matrix …