探索分数阶Keller-Segel系统模拟趋化性的计算效率稳定数值技术

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2025-06-01 Epub Date: 2024-12-21 DOI:10.1016/j.matcom.2024.12.011
B Sagar , S. Saha Ray
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引用次数: 0

摘要

趋化性是一种生物现象,单细胞生物根据其栖息地中的某些化学物质指导其运动。本研究提出了分数阶Keller-Segel模型的数值研究,该模型描述了细胞黏菌的聚集和细菌趋化性。给出了求解该模型的两种数值格式;首先,提出了一种基于局部径向基函数划分的单元法无网格数值格式。在这种方法中,域被分割成许多较小的,重叠的子域,径向基函数插值分别在每个子域上执行。另一方面,引入了一种采用L1格式进行时间离散和中心差分进行空间离散的数值方法,将所提出的方法解与该方法获得的模拟结果进行了比较。严格证明了时间离散算法的稳定性和收敛性。所进行的工作的优势在于所提出的方法是无网格的,而经典方法如有限差分/单元方法依赖于网格。此外,据作者所知,所考虑的分数模型的解析解在文献中是未知的,这使得所进行的数值研究具有创新性。进行了计算实验,并对两种方案的仿真结果进行了比较。此外,还绘制了细胞黏菌密度图和特定生物学参数的化学引诱剂,以观察其生物学行为。
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Exploring computationally efficient stable numerical techniques for fractional Keller–Segel system modeling chemotaxis
Chemotaxis is a biological phenomenon whereby unicellular organisms direct their movements in response to certain chemicals in their habitat. This study presents a numerical investigation of the fractional Keller–Segel model describing the aggregation of cellular slime molds and bacterial chemotaxis. Two numerical schemes are provided to solve this model; primarily, a meshfree numerical scheme based on the local radial basis function partition of unity method is presented. In this approach, the domain is split up into a number of smaller, overlapping subdomains, and the radial basis function interpolation is performed separately on each of these. On the other hand, a numerical method employing the L1 scheme for temporal discretization and centered difference for spatial discretization is introduced to compare the primary proposed method solutions with the simulations acquired by this method. Stability and convergence of the time-discrete algorithm are rigorously established. The strengths of the carried work is that the proposed approach is meshfree, where as the classical methods like finite difference/element approaches depends on mesh. Also, as per the best of authors knowledge, the analytical solutions of the considered fractional model are not known in literature, which makes the carried numerical investigation innovative. Computational experiments are carried out, and simulation results of both schemes are compared. Also, the density plots of cellular slime mold and the chemical attractant for specific biological parameters are illustrated to observe their biological behavior.
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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