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Predictive Mathematical and Statistical Modeling of the Dynamic Poverty Problem in Burundi: Case of an Innovative Economic Optimization System

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Open Journal of Optimization 2021年第4期10卷 101-125页

作者： Fulgence Nahayo Ancille Bagorizamba Marc Bigirimana Irene Irakoze ISTA/University of Burundi Bujumbura Burundi

The mathematical and statistical modeling of the problem of poverty is a major challenge given Burundi’s economic development. 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 of -1.5% in 2018 for the Gross Domestic Product growth real rate of 2.8% in 2016. In this research, the aim is to find a model that contributes to solving the problem of poverty in Burundi. The results of this research fill the knowledge gap in the modeling and optimization of the Burundian economic system. The aim of this model is to solve 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. In addition, investigating the aspects of poverty will properly orient development aid to developing countries and thus, achieve their objectives of growth and the fight against poverty. This paper provides a new and innovative framework for global scientific research regarding the multiple facets of this problem. An estimate of the poverty rate allows good progress with the theory and optimization methods in measuring the poverty rate and achieving sustainable development goals. By comparing the annual food production and the required annual consumption, there is an imbalance between different types of food. Proteins, minerals and vitamins produced in Burundi are sufficient when considering their consumption as required by the entire Burundian population. This positive contribution for the latter comes from the fact that some cows, goats, fishes, ···, slaughtered in Burundi come from neighboring countries. Real production remains in deficit. The lipids, acids, calcium, fibers and carbohydrates produced in Burundi are insuffic

关键词： Poverty Problem Mathematical Modeling applied statistics Operational Research Symplectic Partitioned Runge Kutta Algorithm Dynamic Programming Matlab and Simulink AMPL KNITRO Gurobi Economic Optimization Technology Transfer Incubation of Results Sustainable Development Goals

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The Phase Transition during Post Annealing

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Journal of Physical Science and Application 2016年第2期6卷 1-9页

作者： S. T. Nakagawa Okayama Univ. of Science 1-1 Ridai-Cho Okayama 700-0005 Japan

We have studied why PA （post-annealing） takes a long time to restore damaged crystallinity, which corresponds to repeat 10 10 times of lattice vibrations. Using a MD （molecular dynamics） simulation, we monitored the time-series of the LRO （long-range order） parameter as LRO pattern, in the case of a type IIa diamond, from the beginning of ion impact by a sub-keV N2 beam implantation to a few nanoseconds, i.e., close to the feasible time limit for MD simulations. Due to the ion impact, the LRO parameter changed gradually from ＂LRO = 1＂（crystal） to ＂LRO = 0＂（amorphous）, showing the so-called critical slowing-down phenomenon. However, since PA was started the LRO pattern was not unique. The LRO patterns were grouped into more than three types of phases and the transition between them was also found. From the viewpoint of statistical dynamics, such chaotic variations in the LRO pattern may present that the system is a GCM （globally coupled map） of a complex system in a closed system. A GCM composed of coupled oscillators develops slowly to exhibit several different phases or ‘chaotic itinerancy＇ over time. Therefore, the long duration required for PA may be attributable to the nature of a complex system.

关键词： Globally coupled map complex system applied statistics post-annealing ion implantation molecular dynamicssimulation long-range-order parameter.

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市场经济新形势对我国统计工作提出的新要求

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广东技术师范大学学报 1996年第2期 33-34+72页

作者：胡平蓉

市场经济新形势对我国统计工作提出的新要求胡平蓉我国从传统的产品经济过渡到市场经济，经济的飞速发展、市场的瞬息万变，要求人们对经济形势及时、迅速、准确地判断、决策，进而趋利避害，达到预期的效果与目的．作为分析判断的基础... 详细信息

市场经济新形势对我国统计工作提出的新要求胡平蓉我国从传统的产品经济过渡到市场经济，经济的飞速发展、市场的瞬息万变，要求人们对经济形势及时、迅速、准确地判断、决策，进而趋利避害，达到预期的效果与目的．作为分析判断的基础是及时、准确的信息，而信息来源于统...

关键词： statistics system theoretical statistics applied statistics

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