strange attractor models
Strange attractor models are mathematical models used to describe complex and unpredictable behavior in dynamic systems. They represent a set of values that a system tends to approach over time, creating intricate and often chaotic patterns. These models help in understanding the underlying structures of phenomena like weather patterns, stock market fluctuations, or even the behavior of biological systems.
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