Research Article
Optimization Research Based on Elastic Matrix in the Big Data Perspective
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334375, author={Zhiying Hu}, title={Optimization Research Based on Elastic Matrix in the Big Data Perspective}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={big data; hesse matrix; elastic matrix; optimization}, doi={10.4108/eai.26-5-2023.2334375} }- Zhiying Hu
Year: 2023
Optimization Research Based on Elastic Matrix in the Big Data Perspective
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334375
Abstract
In today's era of big data, the basic idea of using mathematical methods to solve practical problems is to analyze and process the data, establish a mathematical model to solve the problem, find out the functional relationship of the problem, and then use specific mathematical tools to find the corresponding solution. the basic idea of using mathematical methods to solve practical problems is to analyze and process the data, establish a mathematical model to solve the problem, find out the functional relationship of the problem, and then use specific mathematical tools to find the corresponding solution.Calculus has a wide range of applications in economics and can solve many economic problems quickly and accurately. Based on calculus, this paper uses Hesse matrix and elastic matrix as tools respectively to solve the optimization of economic problems from different aspects in the form of examples, which has certain theoretical and practical value.
