fdp++ R2023A布隆迪管理系统的性能改进算法。非洲的SATINOV科学

IF 3.6 1区数学 Q1 MATHEMATICS, APPLIED

Mathematical Models & Methods in Applied Sciences Pub Date : 2023-01-01 DOI:10.12988/ams.2023.917479

F. Nahayo, A. Bagorizamba

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引用次数: 0

摘要

鉴于布隆迪的经济发展管理制度，贫穷问题的统计模型是一项重大挑战。广泛需要创新的经济优化制度来面对布隆迪贫困的动态问题。布隆迪经济显示，2018年通货膨胀率为1.5%，2016年国内生产总值实际增长率为2.8%。本研究涉及布隆迪管理系统绩效改进的fdp++ r2023a算法。SATINOV管理科学和决策支持在非洲。其目的是寻找一种有助于解决布隆迪贫穷问题的管理制度模式。该模型解决了一个结合生产、消费、预算、人力资源和可用原材料等变量的优化问题。通过对贫困问题的科学建模和优化解决，为布隆迪管理系统的绩效改进提供了先进的知识，为衡量贫困率和确定各国的贫困水平提供了工具。

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The FDP++R2023A performance improvement algorithm of Burundi management system. The SATINOV sciences in Africa

The statistical modeling of the problem of poverty is a major challenge given Burundi’s economic development managment system. Innovative economic optimization systems are widely needed to face the problem of the dynamic of the poverty in Burundi. The Burundian economy shows an inﬂation rate of1.5% in 2018 for the Gross Domestic Product growth real rate of 2.8% in 2016. This research concerns the FDP ++ R 2023 A Algorithm for Performance Improvment of Burundi management system. The SATINOV management sciences and decision support in Africa. The aim is to ﬁnd a management system model that contributes to solving the problem of poverty in Burundi. This model solves an optimization problem combining the variables of production, consumption, budget, human resources and available raw materials. Scientiﬁc modeling and optimal solving of the poverty problem show the tools for measuring poverty rate and determining various countries’ poverty levels when considering advanced knowledge for performance improvment of Burundi management system.

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来源期刊

Mathematical Models & Methods in Applied Sciences 数学-应用数学

CiteScore

6.30

自引率

17.10%

发文量

审稿时长

1 months

期刊介绍： The purpose of this journal is to provide a medium of exchange for scientists engaged in applied sciences (physics, mathematical physics, natural, and technological sciences) where there exists a non-trivial interplay between mathematics, mathematical modelling of real systems and mathematical and computer methods oriented towards the qualitative and quantitative analysis of real physical systems. The principal areas of interest of this journal are the following: 1.Mathematical modelling of systems in applied sciences; 2.Mathematical methods for the qualitative and quantitative analysis of models of mathematical physics and technological sciences; 3.Numerical and computer treatment of mathematical models or real systems. Special attention will be paid to the analysis of nonlinearities and stochastic aspects. Within the above limitation, scientists in all fields which employ mathematics are encouraged to submit research and review papers to the journal. Both theoretical and applied papers will be considered for publication. High quality, novelty of the content and potential for the applications to modern problems in applied sciences and technology will be the guidelines for the selection of papers to be published in the journal. This journal publishes only articles with original and innovative contents. Book reviews, announcements and tutorial articles will be featured occasionally.