大数据优化及其在高等教育运行效率中的应用

Sci. Program. Pub Date : 2022-01-05 DOI:10.1155/2022/1044800
Mingxia Lu
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引用次数: 0

摘要

当今世界正在发生前所未有的大变化;高校只有以更加积极开放的态度适应社会的发展。与此同时,高校在逐步将社会资金嵌入到高校运作体系的过程中,努力获取更多的社会资源。在此背景下,建立了目标函数为二次函数、约束条件为线性的有限资金条件下高校运行效率优化模型。借助优化理论,得到了该优化模型的最优解,并提出了相应的提高高等教育运行效率的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Optimization and Applications in Running Efficiency of Higher Education
The world is undergoing great changes that have not been seen at present; colleges and universities can only adapt to social development with a more active and open attitude. Meanwhile, colleges and universities strive to obtain more social resources during the process of gradually embedding social funds into the operation system of universities. In such a backdrop, we establish an optimization model for university running efficiency under limited funds, where the objective function is quadratic and restraint condition is linear. With the help of optimization theory, we have obtained the optimal solution of this optimization model and put forward corresponding suggestions to improve the running efficiency of higher education.
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