Advanced Numerical Methods for Differential Equations: Recent Developments, Analysis and Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 543

Special Issue Editor


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Guest Editor
Department of Mathematics, University of Nebraska at Omaha, Omaha, NE 68182, USA
Interests: numerical analysis; scientific computing; ordinary, partial, and stochastic differential equations

Special Issue Information

Dear Colleagues,

Numerical methods for differential equations are techniques used to approximate the solutions of differential equations that cannot be solved analytically. They are needed in practice since only a few differential equations can be mathematically solved. The goal of this Special Issue is to provide an overview of the recent progress in using numerical methods to solve differential equations. These include finite element methods and their extensions, including discontinuous Galerkin (DG) methods devoted to approximate the solutions for various real-world problems, such as fluid flow, solid mechanics, electromagnetics, and many others, as well as the analysis of these methods including error estimation, superconvergence, and adaptivity. Other topics include the design and analysis of new numerical schemes, as well as novel applications in any branch of engineering and science. While all contributions related to numerical methods are invited, the featured topics include: stability issues, efficient time integration, superconvergence phenomena, a priori and a posteriori error estimations, and mesh adaptivity. Contributions dealing with the applications of numerical methods for porous media flow, incompressible flow, solid mechanics, and elasticity are welcome.

Prof. Dr. Baccouch Mahboub
Guest Editor

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Keywords

  • numerical methods
  • numerical analysis
  • scientific computing
  • computational mathematics
  • applied mathematics
  • differential equations
  • finite element methods
  • applications

Published Papers (1 paper)

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Research

18 pages, 1082 KiB  
Article
Temporal High-Order Accurate Numerical Scheme for the Landau–Lifshitz–Gilbert Equation
by Jiayun He, Lei Yang and Jiajun Zhan
Mathematics 2024, 12(8), 1179; https://doi.org/10.3390/math12081179 - 15 Apr 2024
Viewed by 397
Abstract
In this paper, a family of temporal high-order accurate numerical schemes for the Landau–Lifshitz–Gilbert (LLG) equation is proposed. The proposed schemes are developed utilizing the Gauss–Legendre quadrature method, enabling them to achieve arbitrary high-order time discretization. Furthermore, the geometrical properties of the LLG [...] Read more.
In this paper, a family of temporal high-order accurate numerical schemes for the Landau–Lifshitz–Gilbert (LLG) equation is proposed. The proposed schemes are developed utilizing the Gauss–Legendre quadrature method, enabling them to achieve arbitrary high-order time discretization. Furthermore, the geometrical properties of the LLG equation, such as the preservation of constant magnetization magnitude and the Lyapunov structure, are investigated based on the proposed discrete schemes. It is demonstrated that the magnetization magnitude remains constant with an error of (2p+3) order in time when utilizing a (2p+2)th-order discrete scheme. Additionally, the preservation of the Lyapunov structure is achieved with a second-order error in the temporal step size. Numerical experiments and simulations effectively verify the performance of our proposed algorithm and validate our theoretical analysis. Full article
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