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At the heart of modern computation lies a fascinating interplay of randomness, structure, and predictability—principles beautifully captured by Markov Chains. These stochastic models describe systems where future states depend only on the current state, not on past history, forming the foundation of probabilistic modeling, equilibrium analysis, and algorithmic complexity....
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