FAST ENERGY-NORM CONVERGENCE AND HIGH EFFICIENCY IN A MULTISCALE FINITE ELEMENT COMPUTATION FOR THE HELMHOLTZ EQUATION

This paper develops a fast-convergent and highly efficient multiscale finite element method for the Helmholtz equation. Through the construction of tailored multiscale basis functions, the proposed method is capable of capturing both local fine-scale characteristics and global macroscale behaviors of multiscale solutions. We further systematically elaborate on the associated data structure, in which a global mapping matrix intrinsically encodes rich microscopic information inside each macroscopic element. Rigorous error analysis is then carried out, combining approximation and interpolation error estimates to establish a second-order convergence result in the energy norm, which furnishes a solid theoretical foundation for the accuracy of the proposed scheme. Representative numerical experiments are presented to verify the performance of the method with regard to computational efficiency and solution stability.

Authors

Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2026-09-11
DOI
https://doi.org/10.11948/20250329
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

FAST ENERGY-NORM CONVERGENCE AND HIGH EFFICIENCY IN A MULTISCALE FINITE ELEMENT COMPUTATION FOR THE HELMHOLTZ EQUATION

Peng Zhu, Meiling Sun, Shan Jiang, Yao Cheng
Journal of Applied Analysis & Computation
Advanced Mathematical Modeling in Engineering
article

FAST ENERGY-NORM CONVERGENCE AND HIGH EFFICIENCY IN A MULTISCALE FINITE ELEMENT COMPUTATION FOR THE HELMHOLTZ EQUATION

Peng Zhu, Meiling Sun, Shan Jiang, Yao Cheng
article en

Abstract

This paper develops a fast-convergent and highly efficient multiscale finite element method for the Helmholtz equation. Through the construction of tailored multiscale basis functions, the proposed method is capable of capturing both local fine-scale characteristics and global macroscale behaviors of multiscale solutions. We further systematically elaborate on the associated data structure, in which a global mapping matrix intrinsically encodes rich microscopic information inside each macroscopic element. Rigorous error analysis is then carried out, combining approximation and interpolation error estimates to establish a second-order convergence result in the energy norm, which furnishes a solid theoretical foundation for the accuracy of the proposed scheme. Representative numerical experiments are presented to verify the performance of the method with regard to computational efficiency and solution stability.

Journal of Applied Analysis & ComputationVol. 17(2)
Affordable and clean energy
Openalex Percentile: Top 9%
Advanced Mathematical Modeling in Engineering
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.

FAST ENERGY-NORM CONVERGENCE AND HIGH EFFICIENCY IN A MULTISCALE FINITE ELEMENT COMPUTATION FOR THE HELMHOLTZ EQUATION — Peng Zhu, Meiling Sun, et al. · Journal of Applied Analysis & Computation (2026) | TGRS Research Map | TGRS