Rosenbluth–Rosenbluth Monte Carlo algorithm

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The Rosenbluth–Rosenbluth Monte Carlo algorithm is a computational method used primarily in polymer physics to efficiently generate self-avoiding random walks by biasing the sampling of chain configurations.

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Marshall N. Rosenbluth → coDeveloperOf → Rosenbluth–Rosenbluth Monte Carlo algorithm ⓘ