[PDF][PDF] Nonlocal models with truncated interaction kernels-analysis, finite element methods and shape optimization
C Vollmann - 2019 - ubt.opus.hbz-nrw.de
Nonlocal operators are used in a wide variety of models and applications due to many
natural phenomena being driven by nonlocal dynamics. Nonlocal operators are integral …
natural phenomena being driven by nonlocal dynamics. Nonlocal operators are integral …
The boundary element method of peridynamics
X Liang, L Wang, J Xu, J Wang - International Journal for …, 2021 - Wiley Online Library
The peridynamic theory brings advantages in dealing with discontinuities, dynamic loading,
and nonlocality. The integro‐differential formulation of peridynamics poses challenges to …
and nonlocality. The integro‐differential formulation of peridynamics poses challenges to …
Sine transform based preconditioning techniques for space fractional diffusion equations
HH Qin, HK Pang, HW Sun - Numerical Linear Algebra with …, 2023 - Wiley Online Library
We study the preconditioned iterative methods for the linear systems arising from the
numerical solution of the multi‐dimensional space fractional diffusion equations. A sine …
numerical solution of the multi‐dimensional space fractional diffusion equations. A sine …
Sine Transform Based Preconditioning for an Inverse Source Problem of Time-Space Fractional Diffusion Equations
HK Pang, HH Qin, S Ni - Journal of Scientific Computing, 2024 - Springer
We investigate an inverse problem with quasi-boundary value regularization for
reconstructing a source term of time-space fractional diffusion equations from the final …
reconstructing a source term of time-space fractional diffusion equations from the final …
Effective multigrid algorithms for algebraic system arising from static peridynamic systems
Peridynamics is a nonlocal continuum theory that uses integral equations with no
assumption of differentiability of displacement fields. One of the advantages of implicit type …
assumption of differentiability of displacement fields. One of the advantages of implicit type …
Fast algebraic multigrid for block-structured dense systems arising from nonlocal diffusion problems
Algebraic multigrid (AMG) is one of the most efficient iterative methods for solving large
structured systems of equations. However, how to build/check restriction and prolongation …
structured systems of equations. However, how to build/check restriction and prolongation …
Fully finite element adaptive algebraic multigrid method for time-space Caputo-Riesz fractional diffusion equations
X Yue, W Bu, S Shu, M Liu, S Wang - arxiv preprint arxiv:1707.08345, 2017 - arxiv.org
The paper aims to establish a fully discrete finite element (FE) scheme and provide cost-
effective solutions for one-dimensional time-space Caputo-Riesz fractional diffusion …
effective solutions for one-dimensional time-space Caputo-Riesz fractional diffusion …
Space‐time finite element adaptive AMG for multi‐term time fractional advection diffusion equations
X Yue, M Liu, S Shu, W Bu, Y Xu - Mathematical Methods in the …, 2021 - Wiley Online Library
In this study, we construct a space‐time finite element (FE) scheme and furnish cost‐efficient
approximations for one‐dimensional multi‐term time fractional advection diffusion equations …
approximations for one‐dimensional multi‐term time fractional advection diffusion equations …
Fast and High-Order Accuracy Numerical Methods for Time-Dependent Nonlocal Problems in
In this paper, we study the Crank–Nicolson method for temporal dimension and the
piecewise quadratic polynomial collocation method for spatial dimensions of time …
piecewise quadratic polynomial collocation method for spatial dimensions of time …
A Multigrid Method for Nonlocal Problems: Non--Diagonally Dominant or Toeplitz-Plus-Tridiagonal Systems
Nonlocal problems have been used to model very different applied scientific phenomena
which involve the fractional Laplacian when one looks at the Lévy processes and stochastic …
which involve the fractional Laplacian when one looks at the Lévy processes and stochastic …