Optimal L

The paper is concerned with a linearly semi-implicit renormalized Crank–Nicolson mass lumping finite element method (FEM) for solving the Landau–Lifshitz equation, which models the dynamics of magnetization under a non-convex constraint of unit magnetization length. The numerical solutions preserve the unit length at all finite element nodes by means of renormalizations. Based on a new superconvergence result and a new geometric relation between the errors of the auxiliary solution and the renormalized numerical solution, we rigorously establish optimal L2 error estimates of the proposed scheme. Numerical experiments are presented to illustrate the temporal and spatial convergence of the algorithm.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-17
DOI
https://doi.org/10.1051/m2an/2025090/pdf
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal L

Springer Link (Chiba Institute of Technology)
Advanced Numerical Methods in Computational Mathematics
article

Optimal L

article en

Abstract

The paper is concerned with a linearly semi-implicit renormalized Crank–Nicolson mass lumping finite element method (FEM) for solving the Landau–Lifshitz equation, which models the dynamics of magnetization under a non-convex constraint of unit magnetization length. The numerical solutions preserve the unit length at all finite element nodes by means of renormalizations. Based on a new superconvergence result and a new geometric relation between the errors of the auxiliary solution and the renormalized numerical solution, we rigorously establish optimal L2 error estimates of the proposed scheme. Numerical experiments are presented to illustrate the temporal and spatial convergence of the algorithm.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 39%
Advanced Numerical Methods in Computational Mathematics
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.

Optimal L · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS