Y Azulay, E Treister - SIAM Journal on Scientific Computing, 2022 - SIAM
In this paper, we present a data-driven approach to iteratively solve the discrete heterogeneous Helmholtz equation at high wavenumbers. In our approach, we combine …
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and …
The shifted Helmholtz operator has received a lot of attention over the past decade as a preconditioner for the iterative solution of the Helmholtz equation. The idea is that if one …
Deflating the shifted Laplacian with geometric multigrid vectors yields speedup. To verify this claim, we investigate a simplified variant of Erlangga and Nabben presented in [Erlangga …
H Calandra, S Gratton, X Pinel… - … Linear Algebra with …, 2013 - Wiley Online Library
In this paper, we address the solution of three‐dimensional heterogeneous Helmholtz problems discretized with second‐order finite difference methods with application to …
S Guan, W Zhong, B Du, J Rao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In geophysics, full waveform inversion rely on an efficient forward modeling method. However, a direct solver is computationally expensive and requires significant in-core …
B Lerer, I Ben-Yair, E Treister - arXiv preprint arXiv:2306.17486, 2023 - arxiv.org
We present a deep learning-based iterative approach to solve the discrete heterogeneous Helmholtz equation for high wavenumbers. Combining classical iterative multigrid solvers …
In this paper, we consider the numerical solution of the Helmholtz equation, arising from the study of the wave equation in the frequency domain. The approach proposed here differs …
In finite-difference (FD) acoustic forward modelling, the parameter settings for the perfectly matched layer (PML) are case-dependent. There is no explicit PML formula that can be …