Mathematical analysis on troubleshooting problem during COVID-19 pandemic

Xia Jiang
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Abstract

Mathematics is closely related to people's daily lives, such as the various shapes that can be seen everywhere, and the various distance relationships. Similarly, industrial production is inseparable from mathematics. The problem of nesting is a representative planning problem in industry and is widely used in the fields of construction, clothing, machinery and wood. With the development of computers, the nesting problem has been significantly improved by relying on the emergence of some intelligent algorithms. However, at the beginning of the problem, establishing a reasonable mathematical model is an essential step. This article summarizes thecommon mathematical models in the troubleshooting problem and analyzesthe advantages and disadvantages during COVID-19 pandemic.
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新型冠状病毒大流行期间故障排除问题的数学分析
数学与人们的日常生活息息相关,比如随处可见的各种形状,各种距离关系。同样,工业生产也离不开数学。嵌套问题是工业中具有代表性的规划问题,广泛应用于建筑、服装、机械、木材等领域。随着计算机的发展,依靠一些智能算法的出现,嵌套问题得到了显著的改善。然而,在问题的开始,建立一个合理的数学模型是必不可少的一步。本文总结了新型冠状病毒大流行期间常见的故障诊断数学模型,并分析了其优缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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