Comparative study of mathematical optimization methods with computer simulation by Python

Yuankun Wang; Hechenjin Yu

doi:10.1117/12.2628079

22 April 2022 Comparative study of mathematical optimization methods with computer simulation by Python

Yuankun Wang, Hechenjin Yu

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216336 (2022) https://doi.org/10.1117/12.2628079
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Because of the lack of the raw material for some essential purposes, using them more efficiently has already become a necessary question. We used optimization to find out what is the best way to allocate the resources. In this essay, the definition is covered, and there are several ways to solve these problems and some ideas about combining these solutions. We also suggest how we could make a more efficient, cost-effective process to solve these problems. We will explain and introduce the way people usually used before, and use the data to show the advantages and disadvantages of using our method. Ultimately, it is shown that among all the five methods that are presented in this essay, the method of UCM is the rapidest way to reach the optimal value within a given precision.

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Yuankun Wang and Hechenjin Yu "Comparative study of mathematical optimization methods with computer simulation by Python", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216336 (22 April 2022); https://doi.org/10.1117/12.2628079

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KEYWORDS

Optimization (mathematics)

Computer simulations

Chemical elements

Biology

Error control coding

Iterative methods

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