MATHEMATICAL MODELING OF COMPLEX SYSTEMS
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Abstract
The rapid development of science and technology has increased the need for effective methods to analyze and understand complex systems. Complex systems are characterized by numerous interacting components whose collective behavior often exhibits unexpected and emergent properties. Mathematical modeling provides a powerful framework for studying such systems, enabling researchers to analyze interactions, predict future behavior, and optimize decision-making processes. This article discusses the theoretical foundations, methodologies, applications, challenges, and future prospects of mathematical modeling in the study of complex systems.
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References
1. Newman, M. Networks: An Introduction. Oxford University Press, 2010.
2. Strogatz, S.H. Nonlinear Dynamics and Chaos. Westview Press, 2015.
3. Barabási, A.-L. Network Science. Cambridge University Press, 2016.
4. Sterman, J.D. Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill, 2000.
5. Mitchell, M. Complexity: A Guided Tour. Oxford University Press, 2009.