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- W2017754098 abstract "We point out that a standard Monte Carlo algorithm can be made to converge in some cases for nonpositive definite weights. Comparison of Monte Carlo and Langevin algorithms for two simple models with complex actions shows the Monte Carlo method to be always superior; it is more reliable and gives smaller statistical error when both converge, and converges in cases where the Langevin method does not." @default.
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- W2017754098 date "1986-08-01" @default.
- W2017754098 modified "2023-10-02" @default.
- W2017754098 title "Monte Carlo versus Langevin methods for nonpositive definite weights" @default.
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- W2017754098 doi "https://doi.org/10.1103/physrevb.34.1964" @default.
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