Computational Approaches for Solving Complex Differential Equations: Implementation of the Direct Numerical Method with Modeling and Analysis of Bifurcation Diagrams and Lyapunov Exponent

In different areas like physics, engineering, biology, for example, to predict the behavior of composite systems one has to solve complex differential equations. This paper reviews the direct numerical method as a computational technique used to solve the difficult Equations above. Therefore, the application of this method will help us identify the behavior of large systems. Some of the methods used in the analysis include; creation of bifurcation diagrams to analyze how the system responds to different parameters, examine of Lyapunov exponent in an effort to understand the initial conditions' sensitiveness. Thus, in this paper uses the mentioned techniques to provide a clear understanding of the naturel of interactions within such systems. In addition to evidencing the value of direct numerical methods for rendering a precise portrayal of the systems, this study also improves our general comprehension of the underlying theory of such systems.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/icisct64202.2024.10957210
Citations
2
Primary Topic
Differential Equations and Numerical Methods
Type
article
Field-Weighted Citation Impact
1.46
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article

Computational Approaches for Solving Complex Differential Equations: Implementation of the Direct Numerical Method with Modeling and Analysis of Bifurcation Diagrams and Lyapunov Exponent

Jean Chamberlain Chedjou, Khabibullo Nosirov, Elnur Norov, Alisher A. Berdiyev et al.
2 citations
Differential Equations and Numerical Methods
1.46
article

Computational Approaches for Solving Complex Differential Equations: Implementation of the Direct Numerical Method with Modeling and Analysis of Bifurcation Diagrams and Lyapunov Exponent

Jean Chamberlain Chedjou, Khabibullo Nosirov, Elnur Norov, Alisher A. Berdiyev, Shakhzod Tashmetov
article en
2 citations

Abstract

In different areas like physics, engineering, biology, for example, to predict the behavior of composite systems one has to solve complex differential equations. This paper reviews the direct numerical method as a computational technique used to solve the difficult Equations above. Therefore, the application of this method will help us identify the behavior of large systems. Some of the methods used in the analysis include; creation of bifurcation diagrams to analyze how the system responds to different parameters, examine of Lyapunov exponent in an effort to understand the initial conditions' sensitiveness. Thus, in this paper uses the mentioned techniques to provide a clear understanding of the naturel of interactions within such systems. In addition to evidencing the value of direct numerical methods for rendering a precise portrayal of the systems, this study also improves our general comprehension of the underlying theory of such systems.

Tashkent University of Information Technology (UZ), University of Klagenfurt (AT)
Openalex Percentile: Top 17%
Differential Equations and Numerical Methods
1.46
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