HIGHLIGHTS
SUMMARY
Practical applications of dynamical systems analysis can be found in various subjects of study including transportation networks, food systems, cancer, and game theory. One way to do this is by studying the trajectories of these systems towards attractors to understand their long-term behavior. The authors offer a different approach to analyzing complex dynamical systems based on two significant attributes associated with attractors, states that are reached after an extended period of time and the inability of a system to escape an attractor. This leads to two computational approaches to analyze long-term behavior . . .
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