Real-life Application of Optimization Problem

Shengnan Zhang

doi:10.54254/2753-8818/5/20230271

Research Article

Open access

Published on 25 May 2023

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Zhang,S. (2023). Real-life Application of Optimization Problem. Theoretical and Natural Science,5,53-57.

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Real-life Application of Optimization Problem

Shengnan Zhang *^,1,

¹ Coventry christian school, PA, USA, 19525

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/5/20230271

Abstract

With the continuous improvement of science and technology, optimization has become an indispensable and important part of people's lives. Optimization problems also help people find the optimal solution in their lives. It is necessary to mention the practical application of optimization problems in reality. The purpose of the experiment in this paper is mainly to find out whether the optimization problem is far away from people through practical application examples, or whether it is closely related, and to explore whether it helps people's lives. This experiment is a verification of this problem. This experiment mainly uses Python and the gradient descent method to prove the practicality and efficiency of optimization problems. Specifically, it is based on the background of buying a house. The data comes mainly from practical examples of Guangdong, Baoan. The results are also obvious, successfully demonstrating that the practical application of optimization problems can improve people's lives, improve efficiency, and are closely related to people's lives.

Keywords

Gradient descent, Guangdong, Baoan, Optimization, Real-world application.

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References

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Cite this article

Zhang,S. (2023). Real-life Application of Optimization Problem. Theoretical and Natural Science,5,53-57.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)

Conference website: https://www.confciap.org/

ISBN：978-1-915371-53-9(Print) / 978-1-915371-54-6(Online)

Conference date: 25 March 2023

Editor：Marwan Omar, Roman Bauer

Series: Theoretical and Natural Science

Volume number: Vol.5

ISSN：2753-8818(Print) / 2753-8826(Online)

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