Lyapunov exponent using Euler’s algorithm with applications in optimization problems

Q3 Decision Sciences Yugoslav Journal of Operations Research Pub Date : 2022-01-01 DOI:10.2298/yjor220615024a
A. Ashish, M. Monia, M. Kumar, K. Khamosh, A. Malik
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引用次数: 0

Abstract

The difference and differential equations have played an eminent part in nonlinear dynamics systems, but in the last two decades one-dimensional difference maps are considered in the forefront of nonlinear systems and the optimization of transportation problems. In the nineteenth century, the nonlinear systems have paved a significant role in analyzing nonlinear phenomena using discrete and continuous time interval. Therefore, it is used in every branch of science such as physics, chemistry, biology, computer science, mathematics, neural networks, traffic control models, etc. This paper deals with the maximum Lyapunov exponent property of the nonlinear dynamical systems using Euler?s numerical algorithm. The presents experimental as well as numerical analysis using time-series diagrams and Lyapunov functional plots. Moreover, due to the strongest property of Lyapunov exponent in nonlinear system it may have some application in the optimization of transportation models.
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利用李雅普诺夫指数与欧拉算法在优化问题中的应用
差分和微分方程在非线性动力学系统中起着重要的作用,但在过去的二十年中,一维差分图被认为是非线性系统和运输优化问题的前沿。在19世纪,非线性系统在利用离散和连续时间区间分析非线性现象方面发挥了重要作用。因此,它被应用于物理学、化学、生物学、计算机科学、数学、神经网络、交通控制模型等各个科学分支。本文用欧拉方法研究了非线性动力系统的最大李雅普诺夫指数性质。S数值算法。用时间序列图和李亚普诺夫函数图进行了实验和数值分析。此外,由于Lyapunov指数在非线性系统中的最强性质,它在运输模型的优化中可能有一定的应用。
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来源期刊
Yugoslav Journal of Operations Research
Yugoslav Journal of Operations Research Decision Sciences-Management Science and Operations Research
CiteScore
2.50
自引率
0.00%
发文量
14
审稿时长
24 weeks
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