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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
{"title":"A software tool for numerical option pricing in MATLAB®","authors":"J. Narsoo, M. S. Sunhaloo","doi":"10.1504/ijmmno.2022.10046546","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10046546","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78157966","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
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
{"title":"Haar wavelet collocation method for the investigation of micropolar fluid flow in a porous channel with suction and injection","authors":"Harinakshi Karkera, N. N. Katagi","doi":"10.1504/ijmmno.2022.10042869","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10042869","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79138307","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
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
{"title":"Finite difference methods with linear interpolation for solving a coupled system of hyperbolic delay differential equations","authors":"Karthick Sampath, V. Subburayan","doi":"10.1504/ijmmno.2022.10047235","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10047235","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79486802","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: 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
{"title":"Forecasting the coronavirus disease 2019 pandemic in India using machine learning and statistical models","authors":"Sidharth Saxena, R. Shettar","doi":"10.1504/ijmmno.2022.10046707","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10046707","url":null,"abstract":"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.","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77898690","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
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
{"title":"Support solving method for box-constrained indefinite quadratic minimisation problems","authors":"Amar Andjouh, Mohand Ouamer Bibi","doi":"10.1504/ijmmno.2022.10047048","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10047048","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88095637","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
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
{"title":"Optimal quarantine, isolation, and social distancing strategies for COVID-19 based on a mathematical model","authors":"L. Somathilake, M. Fernando","doi":"10.1504/ijmmno.2022.10048380","DOIUrl":"https://doi.org/10.1504/ijmmno.2022.10048380","url":null,"abstract":"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.","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89691750","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
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
{"title":"Modelling the potential role of super spreaders on COVID-19 transmission dynamics","authors":"J. Mushanyu, W. Chukwu, F. Nyabadza, G. Muchatibaya","doi":"10.1101/2021.08.30.21262341","DOIUrl":"https://doi.org/10.1101/2021.08.30.21262341","url":null,"abstract":"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","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76429815","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: 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
{"title":"A hybrid backtracking search algorithm for energy management in a microgrid","authors":"Zineb Garroussi, R. Ellaia, E. Talbi, J. Lucas","doi":"10.1504/IJMMNO.2021.10035551","DOIUrl":"https://doi.org/10.1504/IJMMNO.2021.10035551","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72936473","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
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
{"title":"Upgraded family of estimators of population mean using known parameters of auxiliary and study variables","authors":"S. K. Yadav, Devender Kumar Sharma, S. Baghel","doi":"10.1504/IJMMNO.2021.10037502","DOIUrl":"https://doi.org/10.1504/IJMMNO.2021.10037502","url":null,"abstract":"","PeriodicalId":13553,"journal":{"name":"Int. J. Math. Model. Numer. Optimisation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78163755","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: 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":null,"pages":null},"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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