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Uncertain semi-varying coefficient model with application to housing prices 不确定半变系数模型及其在房价中的应用
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-30 DOI: 10.1016/j.matcom.2025.11.030
Yuxuan Zhang, Zhiming Li
Uncertain regression analysis explores functional relationships in uncertain environments. While existing uncertain statistical models have been widely applied, they often struggle with some complex uncertain phenomena. This paper introduces an uncertain semi-varying coefficient model and derives the parameter vector using the profile least squares method. We provide residual analysis and hypothesis testing to validate the model’s fit, and introduce a significance test for constant coefficients. A case study on house prices demonstrates the model’s effectiveness, highlighting its potential for real-world applications, such as economic forecasting. Statistical tests indicate that the disturbance term should be characterized as an uncertain variable rather than a random one.
不确定回归分析探讨不确定环境中的函数关系。现有的不确定统计模型虽然得到了广泛的应用,但往往难以处理一些复杂的不确定现象。本文引入了一种不确定半变系数模型,并利用轮廓最小二乘法导出了参数向量。我们提供残差分析和假设检验来验证模型的拟合,并引入常系数的显著性检验。一个关于房价的案例研究证明了该模型的有效性,突出了它在现实世界应用的潜力,比如经济预测。统计检验表明,扰动项应表征为不确定变量,而不是随机变量。
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引用次数: 0
Hierarchical impact of media-induced awareness on epidemic dynamics: Analysis and application of an SIR-M model 媒介诱导的意识对流行病动态的层次影响:SIR-M模型的分析和应用
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-30 DOI: 10.1016/j.matcom.2025.11.038
Huanyi Wang, Suxia Zhang, Jinhu Xu, Xingyu Zhang
During an epidemic outbreak, the release of contagion data and related information in media coverage enhances protective awareness among individuals, thereby prompting behavioral adaptations that subsequently influence disease transmission dynamics. To explore the feedback mechanism between the dynamics of epidemic progression and social media, an SIR-M model incorporating the hierarchical impact of media-induced awareness is established, characterizing the distinct levels of behavioral response based on the perception of potential risks within the population. The analysis and application of the proposed model are conducted extensively and comprehensively. The findings demonstrate that under specific parametric conditions, the decay rate of media coverage can destabilize the endemic equilibrium and induce a Hopf bifurcation. This phenomenon is further confirmed by both one- and two-parameter bifurcation diagrams. Using particle swarm optimization algorithm for parameter estimation, we show that the proposed model effectively captures the temporal trends of both COVID-19 case data and related media coverage, revealing the hierarchical nature of protection awareness.
在流行病暴发期间,传播数据和媒体报道中的相关信息的发布增强了个人的保护意识,从而促使行为适应,从而影响疾病传播动态。为了探索疫情发展动态与社交媒体之间的反馈机制,建立了一个包含媒体诱导意识分层影响的SIR-M模型,表征了基于人群对潜在风险感知的不同行为反应水平。对所提出的模型进行了广泛而全面的分析和应用。研究结果表明,在特定的参数条件下,媒体覆盖率的衰减率会破坏地方性平衡并导致Hopf分岔。单参数和双参数分岔图进一步证实了这一现象。利用粒子群优化算法进行参数估计,我们发现所提出的模型有效地捕获了COVID-19病例数据和相关媒体报道的时间趋势,揭示了保护意识的层次性。
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引用次数: 0
Maximum productivity of Aedes aegypti (Diptera: Culicidae) based on the dynamics of its aquatic state 基于水态动态的埃及伊蚊(双翅目:库蚊科)最大生产力
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-29 DOI: 10.1016/j.matcom.2025.11.032
Andrés Fraguela , Carlos D. Ponce , Juan C. Hernández-Gómez , José M. Sigarreta
This paper develops a mathematical framework to estimate the average productivity of Aedes aegypti (Diptera: Culicidae) in artificial breeding sites, focusing on open household water-storage containers typical of areas with limited access to piped water. We introduce the effective larval displacement volume and, using data from a controlled experiment conducted under climatic conditions favorable for mosquito larval development, derive stage-specific carrying capacities as functions of container dimensions and water volume. The mosquito life cycle is represented by a dynamic population model with seven biologically grounded stages (egg, four larval instars, pupa, and adult) that incorporates nonlinear oviposition, asynchronous hatching, and density-dependent larval competition. Assuming favorable climatic conditions the model admits a unique, globally asymptotically stable equilibrium, so the equilibrium adult population provides a robust measure of breeding-site productivity. From this equilibrium we obtain a closed-form approximation for average adult productivity in terms of water-column height and container perimeter, and apply it to storage containers commonly used in Latin-America: buckets, plastic barrels, water tanks, and cement storage piles. The results indicate that productivity varies only weakly with container size, suggesting that consolidating stored water into a single large container, rather than several smaller ones, may reduce overall mosquito emergence. Because all estimates are derived under optimal environmental and water-quality conditions, they should be interpreted as upper bounds for productivity under less favorable or adverse settings, a distinction that is essential for real-world vector-control planning. Overall, the proposed approach offers an operational tool for quantifying productivity in domestic water-storage breeding sites.
本文开发了一个数学框架来估计埃及伊蚊(双翅目:库蚊科)在人工繁殖地的平均生产力,重点是在自来水有限的地区典型的开放式家庭储水容器。我们引入了有效的幼虫排水量,并利用在有利于蚊子幼虫发育的气候条件下进行的对照实验数据,得出了容器尺寸和水量的函数。蚊子的生命周期由一个动态种群模型表示,包括七个生物基础阶段(卵,四个幼虫,蛹和成虫),包括非线性产卵,异步孵化和密度依赖性幼虫竞争。假设有利的气候条件,该模型承认一个独特的,全球渐近稳定的平衡,因此平衡成年人口提供了一个强大的衡量繁殖地点的生产力。从这个平衡中,我们得到了一个关于水柱高度和容器周长的平均成人生产力的封闭近似,并将其应用于拉丁美洲常用的存储容器:桶、塑料桶、水箱和水泥存储桩。结果表明,蚊子的繁殖能力随容器大小的变化不大,这表明将储存的水集中到一个大容器中,而不是几个小容器中,可能会减少蚊子的总体出现。由于所有估计都是在最佳环境和水质条件下得出的,因此它们应被解释为在不利或不利环境下生产率的上限,这一区别对现实世界的病媒控制规划至关重要。总的来说,所提出的方法为量化国内储水养殖场的生产力提供了一种操作工具。
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引用次数: 0
Practical finite-time bipartite synchronization for fractional-order T–S fuzzy multilayer signed networks via dynamic event-triggered hybrid impulsive control 基于动态事件触发混合脉冲控制的分数阶T-S模糊多层签名网络有限时间二部同步
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-27 DOI: 10.1016/j.matcom.2025.11.037
Qiu Peng , Manchun Tan , Mingbing Luo , Kai Wu
Synchronization is crucial for achieving coordinated dynamic behavior and improving operational efficiency in complex networks. This paper focuses on the practical finite-time bipartite synchronization (PFTBS) of fractional-order Takagi–Sugeno (T–S) fuzzy multilayer signed networks (FOTSFMSNs) with time-varying coupling weights. First, to reduce communication resource consumption and control costs, a fuzzy exponential dynamic event-triggered hybrid impulsive control method is designed by introducing the exponential decay function under the T–S fuzzy rule. Second, a graph-theoretic Lyapunov function with two time-varying coefficients is constructed, and corresponding fractional-order derivative rules are established. Using graph theory and a new practical fractional-order impulsive finite-time inequality, sufficient conditions for PFTBS are derived, and Zeno behavior is effectively excluded. Finally, numerical simulations are carried out on two FOTSFMSNs, one using fractional-order Chua’s chaotic circuit and the other using fractional-order power system as node dynamics. The numerical results confirm the effectiveness of the control method.
在复杂网络中,同步是实现协调动态行为和提高运行效率的关键。研究了具有时变耦合权的分数阶Takagi-Sugeno (T-S)模糊多层签名网络(FOTSFMSNs)的有限时间二部同步(PFTBS)。首先,为了降低通信资源消耗和控制成本,在T-S模糊规则下引入指数衰减函数,设计了一种模糊指数动态事件触发混合脉冲控制方法。其次,构造了具有两个时变系数的图论Lyapunov函数,并建立了相应的分数阶导数规则。利用图论和一个新的实用分数阶脉冲有限时间不等式,导出了PFTBS的充分条件,并有效地排除了Zeno行为。最后,对两个采用分数阶蔡氏混沌电路和分数阶功率系统作为节点动力学的FOTSFMSNs进行了数值仿真。数值结果证实了该控制方法的有效性。
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引用次数: 0
Improved Egret Swarm Optimization Algorithm with mixed multi-strategy for system evaluation 基于混合多策略的改进白鹭群优化算法用于系统评估
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-26 DOI: 10.1016/j.matcom.2025.11.025
Weishi Peng , Runze Wu , Yu Wang , Jingyi Wang
To address the inherent limitations of the conventional Egret Swarm Optimization Algorithm (ESOA), this study proposes an enhanced variant, namely the improved egret swarm optimization algorithm (IESOA), which integrates a hybrid multi-strategy framework. Initially, the piecewise chaotic mapping is employed for population initialization. This approach enables a more flexible distribution of egret individuals within the initial solution space, thereby enhancing population diversity and mitigating the risk of the algorithm converging to local optima. Subsequently, an adaptive T-distribution method is introduced to update the hunting positions of egret squads. This modification strengthens the algorithms capability to escape local optima and improves its global search performance. Furthermore, a sine–cosine strategy is incorporated to dynamically adjust the search direction and control step size variations during the optimization process, which significantly accelerates the convergence speed. Experimental results demonstrate that IESOA exhibits robust performance in escaping local optima, achieves rapid convergence, and maintains relatively high optimization accuracy.
针对传统白鹭群优化算法(Egret Swarm Optimization Algorithm, ESOA)的固有局限性,本文提出了一种改进的白鹭群优化算法(IESOA),该算法集成了一个混合多策略框架。最初,采用分段混沌映射进行种群初始化。该方法使白鹭个体在初始解空间内的分布更加灵活,从而增强了种群多样性,降低了算法收敛到局部最优的风险。随后,引入自适应t分布方法更新白鹭分队的狩猎位置。这种改进增强了算法逃避局部最优的能力,提高了算法的全局搜索性能。在优化过程中,采用正弦余弦策略动态调整搜索方向和控制步长变化,显著加快了收敛速度。实验结果表明,IESOA在逃避局部最优方面表现出鲁棒性,收敛速度快,并保持较高的优化精度。
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引用次数: 0
Improved stability analysis for quaternion-valued neural networks with proportional and mixed time-varying delays 具有比例和混合时变延迟的四元数值神经网络的改进稳定性分析
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-26 DOI: 10.1016/j.matcom.2025.11.005
Yang Cao , Jincy Jacob , S. Dharani , M. Sivakumar
The stability of mixed time-varying delayed and proportional delayed Quaternion-Valued Neural Networks (QVNNs) is investigated herein. We contemplate the QVNNs as a single entity, as opposed to dissecting them into separate Complex-Valued Neural Networks (CVNNs) or Real-Valued Neural Networks(RVNNs). By employing Lyapunov–Krasovskii Functionals (LKF) with free weight matrices and linear matrix inequalities (LMI), sufficient conditions for global asymptotic stability are obtained for the proposed model. To show the usefulness of the derived theoretical deductions, a numerical illustration is offered at the end.
研究了混合时变延迟和比例延迟四元数神经网络的稳定性。我们将qvnn视为一个单一的实体,而不是将它们分解为单独的复值神经网络(cvnn)或实值神经网络(rvnn)。利用具有自由权矩阵的Lyapunov-Krasovskii泛函(LKF)和线性矩阵不等式(LMI),得到了该模型全局渐近稳定的充分条件。为了说明推导出的理论推导的有效性,最后给出了一个数值说明。
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引用次数: 0
On improving the conditioning of the method of fundamental solutions for biharmonic BVPs in 2D domains 改进二维区域双调和BVPs基本解方法的条件
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-26 DOI: 10.1016/j.matcom.2025.11.033
Pedro R.S. Antunes , Hernani Calunga , Pedro Serranho
The MFS-SVD approach introduced in [1], which combines the method of fundamental solutions (MFS) with singular value decomposition (SVD), is a potential alternative to existing methods for improving the conditioning of MFS linear systems. However, until now, the feasibility of this approach for boundary value problems (BVPs) defined on planar domains, has only been illustrated for two problems involving second order partial differential equations: The Laplace equation in [1] and the homogeneous Helmholtz equation in [2]. These papers suggest that SVD should be applied to the ill-conditioned factor of the MFS linear systems decomposition, which does not apply to higher order problems. In this work, we bring more clarity to this point, contributing to the establishment of a complete procedure to follow when solving problems using the MFS-SVD approach. We use the biharmonic boundary value problem, a fourth order PDE, to illustrate this procedure. This is done by approaching the numerical solution of the problem using two different ansatz, which means two different addition theorems and two different decompositions, with the aim of reinforcing the idea about the robustness of the MFS-SVD, regardless of the numerical formulation being considered. As expected, the MFS-SVD performs similarly in both cases.
[1]中引入的MFS-SVD方法将基本解(MFS)方法与奇异值分解(SVD)方法相结合,是改善MFS线性系统调理的潜在替代方法。然而,到目前为止,这种方法在平面上定义的边值问题(BVPs)上的可行性,只在两个涉及二阶偏微分方程的问题上得到了说明:[1]中的拉普拉斯方程和[2]中的齐次亥姆霍兹方程。这些论文认为奇异值分解应该应用于MFS线性系统分解的病态因子,而不适用于高阶问题。在这项工作中,我们使这一点更加清晰,有助于在使用MFS-SVD方法解决问题时建立一个完整的程序。我们用双调和边值问题,一个四阶偏微分方程,来说明这个过程。这是通过使用两个不同的ansatz来接近问题的数值解来完成的,这意味着两个不同的加法定理和两个不同的分解,目的是加强关于MFS-SVD的鲁棒性的想法,而不管正在考虑的数值公式是什么。正如预期的那样,MFS-SVD在这两种情况下的执行相似。
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引用次数: 0
A novel metric-based anisotropic mesh adaptation algorithm for 3D periodic domains 一种新的基于度量的三维周期域各向异性网格自适应算法
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-26 DOI: 10.1016/j.matcom.2025.11.034
Giacomo Speroni , Nicola Ferro
We present a novel metric-based anisotropic mesh adaptation algorithm, named 3DPAMA, to be employed for discretization of three-dimensional periodic domains. The proposed method – based on mathematically rigorous assumptions – utilizes established techniques for unconstrained anisotropic mesh adaptation and resorts to localized manipulations on the external boundary of the mesh. In particular, the scheme comprises four steps: (i) a non-periodic initial mesh adaptation, (ii) the splitting of the obtained volumetric grid into interior and exterior tessellations, (iii) minimal local operations to yield a periodic external surface, and (iv) the assembly of the final adapted grids. To demonstrate the robustness, efficacy, and flexibility of the proposed methodology, 3DPAMA algorithm is employed in a continuous finite element setting to tackle test cases established in the literature as well as challenging scenarios that involve various periodic requirements, domain geometries, and isotropic and anisotropic metric fields. Finally, 3DPAMA is employed in a practical use case where mesh adaptation is tightly coupled with the solution of a time-dependent partial differential equation.
提出了一种新的基于度量的各向异性网格自适应算法,称为3DPAMA,用于三维周期域的离散化。该方法基于数学上严格的假设,利用现有的无约束各向异性网格自适应技术,并在网格的外部边界上进行局部操作。具体来说,该方案包括四个步骤:(i)非周期性初始网格适配,(ii)将获得的体积网格划分为内部和外部镶嵌,(iii)最小局部操作以产生周期性外表面,以及(iv)最终适配网格的组装。为了证明所提出方法的鲁棒性、有效性和灵活性,在连续有限元设置中使用3DPAMA算法来处理文献中建立的测试用例,以及涉及各种周期性要求、域几何形状、各向同性和各向异性度量场的挑战性场景。最后,将3DPAMA应用于实际用例中,其中网格自适应与时变偏微分方程的解紧密耦合。
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引用次数: 0
Stability analysis and stabilization synthesis of asynchronously sampled-data systems via integral looped functionals composed of bivariate functions 由二元函数组成的积分环泛函的异步采样数据系统稳定性分析与稳定性综合
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-25 DOI: 10.1016/j.matcom.2025.11.031
Seok Young Lee , Nam Kyu Kwon , JunMin Park
This paper proposes a novel looped-functional approach that provides tractable conditions for the stability analysis and stabilization synthesis of linear systems under asynchronously sampled inputs. To reduce the conservatism of these conditions, a general looped-functional framework is introduced that includes existing approaches as special cases, and thereby yields more relaxed conditions expressed as linear matrix inequalities. Compared to several existing works, the proposed approach offers not only a general but also a specific functional structure composed of bivariate functions. One of these variables is associated with differentiation, and the other is associated with integration. The proposed framework provides relaxed conditions for both the Lyapunov functional and its time derivative, which play essential roles in the conservatism reduction of the conditions for stability analysis and stabilization synthesis. Seven numerical examples demonstrate the effectiveness of the proposed approach through maximum admissible sampling intervals, with only a small additional number of decision variables.
本文提出了一种新的环泛函方法,为异步采样输入下线性系统的稳定性分析和稳定性综合提供了易于处理的条件。为了减少这些条件的保守性,引入了一个一般的环函数框架,其中包括作为特殊情况的现有方法,从而产生更宽松的条件,表示为线性矩阵不等式。与现有的一些研究相比,本文提出的方法不仅提供了一个一般的,而且还提供了一个由二元函数组成的特定功能结构。其中一个变量与微分有关,另一个与积分有关。该框架为Lyapunov泛函及其时间导数提供了宽松的条件,这对稳定性分析和稳定性综合的保守性降低起着至关重要的作用。七个数值算例证明了该方法的有效性,通过最大允许采样间隔,只有少量额外的决策变量。
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引用次数: 0
Nonlinear dynamics and Chaos control in a discrete predator–prey model with Smith-type growth, cannibalism, and group defense 具有smith型生长、同类相食和群体防御的离散捕食-猎物模型的非线性动力学和混沌控制
IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-25 DOI: 10.1016/j.matcom.2025.11.028
Md. Mutakabbir Khan
This work investigates the nonlinear dynamics of a discrete predator–prey system with prey cannibalism and group defense. The model combines Smith-type growth with a cannibalistic term for prey, while predators follow a Monod–Haldane response. Using the center manifold theorem, we establish conditions for period-doubling (PD) and Neimark–Sacker (NS) bifurcations within the biologically feasible region. Numerical simulations validate these theoretical results and reveal complex dynamics, including high-periodic orbits, quasi-periodic invariant closed curves, and chaotic attractors confirmed through maximal Lyapunov exponents. To suppress chaotic fluctuations and restore ecological balance, we implement both the Ott–Grebogi–Yorke (OGY) method and a state feedback control strategy, successfully stabilizing the system near unstable equilibria. This work deepens the understanding of nonlinear mechanisms governing ecological interactions and offers robust control strategies to manage chaos in discrete biological systems.
本文研究了一个具有捕食和群体防御的离散捕食者-猎物系统的非线性动力学。该模型结合了史密斯式生长和对猎物的同类相食的术语,而捕食者则遵循莫诺-霍尔丹反应。利用中心流形定理,建立了生物可行区域内周期加倍(PD)和neimmark - sacker (NS)分岔的条件。数值模拟验证了这些理论结果,并揭示了复杂的动力学,包括高周期轨道,准周期不变闭合曲线,以及通过最大Lyapunov指数证实的混沌吸引子。为了抑制混沌波动,恢复生态平衡,我们采用了Ott-Grebogi-Yorke (OGY)方法和状态反馈控制策略,成功地将系统稳定在不稳定平衡点附近。这项工作加深了对控制生态相互作用的非线性机制的理解,并提供了在离散生物系统中管理混沌的鲁棒控制策略。
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引用次数: 0
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Mathematics and Computers in Simulation
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