A new shifted Laplacian preconditioner for solving the Helmholtz wave equation

The shifted Laplacian operator, combined with multigrid methods, is widely utilized as a preconditioner for solving the 3D Helmholtz equation. However, its effectiveness diminishes as the solving frequency increases. To enhance the performance of the shifted Laplacian operator, we propose that the efficacy of the preconditioner is related to the percentage of seismic wave energy absorbed by a single grid. Following this premise, we derived a new shifted Laplacian preconditioner base on theoretical solutions from wave equation theory. Subsequently, we employed a V-cycle multigrid method integrated with the new shifted Laplacian preconditioner and used the generalized minimal residual method as the smoothing operator to solve the 3D Helmholtz equation. To verify the effectiveness of the new preconditioner, the numerical solutions of the wave equation were compared with the analytical solutions, which confirmed the iterative method’s efficacy for solving the 3D Helmholtz equation. Additionally, we conducted experiments using three common 3D models. The numerical results indicate that, at low frequencies, the optimized shifted Laplacian operator achieves similar computation times to the original operator. However, at medium to high frequencies, the new shifted Laplacian operator significantly reduces computation time, thus confirming its enhanced performance in solving the 3D Helmholtz equation.

Authors

Institutions

Publication Details

Journal
Frontiers in Earth Science
Published
2026-11-11
DOI
https://doi.org/10.3389/feart.2026.1831702
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

A new shifted Laplacian preconditioner for solving the Helmholtz wave equation

Xu Li, Zhichao Pang, Ding Qianlong, Haibo Mao et al.
Frontiers in Earth Science
Matrix Theory and Algorithms
article

A new shifted Laplacian preconditioner for solving the Helmholtz wave equation

Xu Li, Zhichao Pang, Ding Qianlong, Haibo Mao, Chen Wang, Long Pan, Kai Ma
article en

Abstract

The shifted Laplacian operator, combined with multigrid methods, is widely utilized as a preconditioner for solving the 3D Helmholtz equation. However, its effectiveness diminishes as the solving frequency increases. To enhance the performance of the shifted Laplacian operator, we propose that the efficacy of the preconditioner is related to the percentage of seismic wave energy absorbed by a single grid. Following this premise, we derived a new shifted Laplacian preconditioner base on theoretical solutions from wave equation theory. Subsequently, we employed a V-cycle multigrid method integrated with the new shifted Laplacian preconditioner and used the generalized minimal residual method as the smoothing operator to solve the 3D Helmholtz equation. To verify the effectiveness of the new preconditioner, the numerical solutions of the wave equation were compared with the analytical solutions, which confirmed the iterative method’s efficacy for solving the 3D Helmholtz equation. Additionally, we conducted experiments using three common 3D models. The numerical results indicate that, at low frequencies, the optimized shifted Laplacian operator achieves similar computation times to the original operator. However, at medium to high frequencies, the new shifted Laplacian operator significantly reduces computation time, thus confirming its enhanced performance in solving the 3D Helmholtz equation.

Frontiers in Earth ScienceVol. 14
PetroChina Xinjiang Oilfield Company (China) (CN)
Matrix Theory and Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon