Physics-informed neural networks (PINNs) are a popular and powerful appr...
The convergence rate of domain decomposition methods (DDMs) strongly dep...
We consider a new coarse space for the ASM and RAS preconditioners to so...
Physics-informed neural networks (PINNs) [4, 10] are an approach for sol...
Numerical discretization of the large-scale Maxwell's equations leads to...
A nonlinear partial differential equation (PDE) based compartmental mode...
Optimized transmission conditions in domain decomposition methods have b...
Numerical solution of heterogeneous Helmholtz problems presents various
...
GenEO ('Generalised Eigenvalue problems on the Overlap') is a method for...
We examine the use of a two-level deflation preconditioner combined with...
Motivated by recent work on coarse spaces for Helmholtz problems, we pro...
Classically transmission conditions between subdomains are optimized for...
Wave propagation problems are notoriously difficult to solve. Time-harmo...
Solving time-harmonic wave propagation problems in the frequency domain ...
In this paper we develop and analyse domain decomposition methods for li...
In this work we study the convergence properties of the one-level parall...
Frequency-domain full-waveform inversion (FWI) is suitable for long-offs...
We examine the use of the Dirichlet-to-Neumann coarse space within an
ad...
Solving the linear elasticity and Stokes equations by an optimal domain
...