Complexity Measures

Complexity measures are ways to evaluate how intricate or complicated a system, pattern, or problem is. They assess aspects like unpredictability, structure, or amount of information involved. For example, in data or algorithms, complexity measures help us understand how much effort or resources are needed to analyze, compress, or solve them. Higher complexity often means more variability or less predictability, while lower complexity indicates more regularity or simplicity. These measures are useful across fields like computer science, physics, and biology for comparing systems, optimizing processes, or understanding patterns.