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How Randomness Improves Algorithms | Quanta Magazine

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first general-purpose electronic computer used randomness to simulate nuclear processes. Similar approaches have since been used in astrophysics, climate science and economics. In all these cases, plugging in random numbers at certain steps in the algorithm helps researchers account for uncertainty about th...

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