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Int. J. Math. Model. Numer. Optimisation最新文献

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A software tool for numerical option pricing in MATLAB® MATLAB®中的数字期权定价软件工具
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10046546
J. Narsoo, M. S. Sunhaloo
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引用次数: 0
Haar wavelet collocation method for the investigation of micropolar fluid flow in a porous channel with suction and injection 基于Haar小波配置法的吸注多孔通道微极流体流动研究
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10042869
Harinakshi Karkera, N. N. Katagi
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引用次数: 0
Finite difference methods with linear interpolation for solving a coupled system of hyperbolic delay differential equations 求解双曲型时滞微分方程耦合系统的线性插值有限差分法
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10047235
Karthick Sampath, V. Subburayan
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引用次数: 2
Forecasting the coronavirus disease 2019 pandemic in India using machine learning and statistical models 利用机器学习和统计模型预测2019年印度冠状病毒大流行
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10046707
Sidharth Saxena, R. Shettar
COVID-19, which is an infectious disease caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has resulted in a massive blow to India with respect to the health of its citizens and economy. The work in this paper focuses on the Prophet model, linear regression model, Holt's model and the ARIMA model for predicting the number of confirmed, recovered cases, deaths and active cases along with growth rate, recovery rate and mortality rate in India for the month of November 2020. The performance of all the above mentioned models has been evaluated using standard metrics namely R2, adjusted R2, root-mean-square error and mean absolute error. © 2022 Inderscience Enterprises Ltd.
COVID-19是由严重急性呼吸系统综合征冠状病毒-2 (SARS-CoV-2)引起的传染病，给印度公民的健康和经济造成了巨大打击。本文的工作重点是先知模型、线性回归模型、霍尔特模型和ARIMA模型，用于预测2020年11月印度的确诊病例、康复病例、死亡病例和活跃病例数量以及增长率、康复率和死亡率。采用标准指标R2、调整后R2、均方根误差和平均绝对误差对上述所有模型的性能进行了评价。©2022 Inderscience Enterprises Ltd
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引用次数: 0
Support solving method for box-constrained indefinite quadratic minimisation problems 盒约束不定二次最小化问题的支持求解方法
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10047048
Amar Andjouh, Mohand Ouamer Bibi
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引用次数: 0
Optimal quarantine, isolation, and social distancing strategies for COVID-19 based on a mathematical model 基于数学模型的COVID-19最佳隔离、隔离和社交距离策略
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2022-01-01 DOI: 10.1504/ijmmno.2022.10048380
L. Somathilake, M. Fernando
Around 221 countries in the world are currently suffering from the COVID-19 pandemic and the World Health Organization reported there are 217.7 million confirmed cases with 4.5 million deaths tolls as of 31st August 2021. Until a cure is found, it is more appropriate to follow the health guidelines recommended by authorities. Theoretically, forecasting the courses and possible outcomes of such a pandemic is crucial for healthcare sectors to make decisions in advance. This paper aims to find optimal quarantine, isolation, and social distancing strategies for COVID-19 based on the SEIQJR mathematical model with a proper cost analysis. Minimising the cost of the controlling process of diseases is very important for public health policymakers. An optimal control problem is considered with a proposed cost functional which is minimised to yield optimal control strategies. We subsequently insert an inequality state constraint to the problem by considering the possible maximum capacities of hospitals. Copyright © 2022 Inderscience Enterprises Ltd.
目前世界上约有221个国家正在遭受COVID-19大流行的影响，世界卫生组织报告称，截至2021年8月31日，确诊病例为2.177亿例，死亡人数为450万人。在找到治疗方法之前，更合适的做法是遵循当局建议的健康指南。从理论上讲，预测这种大流行的过程和可能的结果对卫生保健部门提前做出决策至关重要。本文旨在基于SEIQJR数学模型，在适当的成本分析的基础上，寻找COVID-19的最佳隔离隔离和社交距离策略。对公共卫生决策者来说，将疾病控制过程的成本降至最低是非常重要的。考虑了一个最优控制问题，提出了最小化成本函数以产生最优控制策略。随后，我们通过考虑医院可能的最大容量，对问题插入不平等状态约束。版权所有©2022 Inderscience Enterprises Ltd。
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引用次数: 0
Modelling the potential role of super spreaders on COVID-19 transmission dynamics 模拟超级传播者在COVID-19传播动力学中的潜在作用
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2021-09-02 DOI: 10.1101/2021.08.30.21262341
J. Mushanyu, W. Chukwu, F. Nyabadza, G. Muchatibaya
Superspreading phenomenon has been observed in many infectious diseases and contributes significantly to public health burden in many countries. Superspreading events have recently been reported in the transmission of the COVID-19 pandemic. The present study uses a set of nine ordinary differential equations to investigate the impact of superspreading on COVID-19 dynamics. The model developed in this study addresses the heterogeineity in infectiousness by taking into account two forms of transmission rate functions for superspreaders based on clinical (infectivity level) and social or environmental (contact level). The basic reproduction number has been derived and the contribution of each infectious compartment towards the generation of new COVID-19 cases is ascertained. Data fitting was performed and parameter values were estimated within plausible ranges. Numerical simulations performed suggest that control measures that decrease the effective contact radius and increase the transmission rate exponent will be greatly beneficial in the control of COVID-19 in the presence of superspreading phenomen
在许多国家，许多传染病都出现了超传播现象，严重增加了公共卫生负担。最近报告了COVID-19大流行传播中的超级传播事件。本研究使用一组9个常微分方程来研究超传播对COVID-19动态的影响。本研究开发的模型通过考虑基于临床(传染性水平)和社会或环境(接触水平)的超传播者的两种形式的传播率函数，解决了传染性的异质性。导出了基本复制数，并确定了每个感染室对新病例产生的贡献。进行数据拟合，并在合理范围内估计参数值。数值模拟结果表明，在超传播现象存在的情况下，减小有效接触半径、提高传播速率指数的防控措施将大大有利于防控
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引用次数: 9
A hybrid backtracking search algorithm for energy management in a microgrid 微电网能源管理的混合回溯搜索算法
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2021-01-01 DOI: 10.1504/IJMMNO.2021.10035551
Zineb Garroussi, R. Ellaia, E. Talbi, J. Lucas
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引用次数: 0
Upgraded family of estimators of population mean using known parameters of auxiliary and study variables 利用辅助变量和研究变量的已知参数，改进了总体均值估计族
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2021-01-01 DOI: 10.1504/IJMMNO.2021.10037502
S. K. Yadav, Devender Kumar Sharma, S. Baghel
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引用次数: 1
Explicit error estimates in a method of moments for recovering boundary data 恢复边界数据的矩量法的显式误差估计
Int. J. Math. Model. Numer. Optimisation
Pub Date : 2021-01-01 DOI: 10.1504/IJMMNO.2021.10037500
B. Achchab, A. Sakat, A. Souissi
{"title":"Explicit error estimates in a method of moments for recovering boundary data","authors":"B. Achchab, A. Sakat, A. Souissi","doi":"10.1504/IJMMNO.2021.10037500","DOIUrl":"https://doi.org/10.1504/IJMMNO.2021.10037500","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":"65 1","pages":"232-251"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76858129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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