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Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software最新文献

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Hydrodynamic Entrance Region in a Flat Porous Channel with a Pressure Head Isothermal Laminar Flow of a Newtonian Medium 带压头的平面多孔通道的流体动力入口区域
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210201
A. Ryazhskih, A. V. Nikolenko, D. A. Konovalov, V. Ryazhskih, A. V. Keller
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引用次数: 0
High Accuracy Numerical Solution of Elliptic Equations with Discontinuous Coefficients 系数不连续椭圆型方程的高精度数值解
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210407
V. P. Shapeev, L. Bryndin, V. Belyaev
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引用次数: 0
Modelling the Dynamics of Shock Pulse in the Tube with Inner Layer of Aqueous Foam 含水泡沫内层管内冲击脉冲动力学模拟
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/MMP210109
R. Bolotnova, E. F. Gainullina
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引用次数: 0
L-Stability of Nonlinear Systems Represented by State Models 用状态模型表示的非线性系统的l -稳定性
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210209
I. Yeletskikh, K. S. Yeletskikh, V. Shcherbatykh
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引用次数: 0
Research of the Optimal Control Problem for One Mathematical Model of the Sobolev Type 一类Sobolev型数学模型的最优控制问题研究
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210403
K. V. Perevozchikova, N. Manakova
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引用次数: 1
A Method for Studying the Dissipative Properties of Difference Schemes in Euler Coordinates 欧拉坐标下差分格式耗散性质的一种研究方法
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210212
E. S. Shestakovskaya, Ya.E. Starikov, N. L. Klinacheva
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引用次数: 0
Stochastic Modelling of Closed Curves in the Plane 平面上封闭曲线的随机建模
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/MMP210103
M. V. Kurkina, V. Slavsky
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引用次数: 0
On the Scheduling Problem of Cargo Transportation on a Railway Network Segment and Algorithms for Its Solution 铁路网段货物运输调度问题及其求解算法研究
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210305
A. N. Ignatov
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引用次数: 1
Mathematical Modelling of Spread COVID-19 Epidemic for Preventive Measures to Protect Life and Health of Elderly 新冠肺炎疫情传播的数学建模及预防措施保护老年人的生命和健康
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210307
Y. Bubeev, B. Vladimirskiy, I. Ushakov, V. Usov, A. Bogomolov
Quantitative approaches based on mathematical modelling are used to justify a set of measures aimed at justifying a set of preventive measures to protect the life and health of older people in the context of COVID-19 pandemic. Analysis of the state of development of actuarial mathematical models of mortality in the COVID-19 epidemic shows the need to construct models that reflect the dynamics of the studied ratios of infection rates, morbidity, recovery and mortality in the dynamics of the pandemic, taking into account the influence of external factors on this process. Most of the known mathematical models for predicting the spread and consequences of COVID-19 are compartmental models that implement sequential transitions between states with the allocation of groups of individuals with different affiliation to the progression/decline of the spread of infection. To compensate for the shortcomings of the compartmental models due to the assumption of population homogeneity and the lack of adequate approaches to the scalability of the simulation results, models based on the Monte Carlo method and the concept of multi- agent systems are used. The development of modelling methods is associated with the need to expand information support for healthcare professionals and health care organizers with the possibility of online configuration of parameters of mathematical models and the use of data from 3/4 cloud services with visualization of the results of modelling.
基于数学建模的定量方法用于证明一系列措施的合理性,这些措施旨在证明在2019冠状病毒病大流行背景下保护老年人生命和健康的一系列预防措施的合理性。对2019冠状病毒病死率精算数学模型发展现状的分析表明,需要构建能够反映所研究的感染率、发病率、恢复率和死亡率在大流行动态中的动态模型,同时考虑外部因素对这一过程的影响。大多数已知的预测COVID-19传播和后果的数学模型都是隔室模型,通过分配与感染传播进展/下降有不同关系的个体群体,实现各州之间的顺序过渡。为了弥补分区模型由于假设人口同质性和缺乏足够的方法来模拟结果的可扩展性而造成的缺点,使用了基于蒙特卡罗方法和多智能体系统概念的模型。建模方法的发展与需要扩大对医疗保健专业人员和医疗保健组织者的信息支持有关,因为有可能在线配置数学模型的参数,并使用来自3/4云服务的数据,使建模结果可视化。
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引用次数: 0
Modeling for Pointing of Imaging Atmospheric Cherenkov Telescopes in TAIGA Experiment TAIGA实验中成像大气切伦科夫望远镜的指向建模
IF 0.2 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.14529/mmp210409
D. Zhurov
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引用次数: 0
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Bulletin of the South Ural State University Series-Mathematical Modelling Programming & Computer Software
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