🎲 Markov Chain
A Markov chain is a sequence of random states in which the probability of moving to the next state depends only on the current state, not on the full history that led there — the 'memoryless' property. Markov chains model everything from board-game dice rolls and weather patterns to PageRank and Markov Chain Monte Carlo sampling.
🧪 See it in action
🎲 Markov Chain — Transition Matrix Simulator📖 Go deeper
For a fuller technical treatment, see the Algorithms Glossary — M reference on MySimulator.
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