Simulating Coulomb and log-gases with hybrid Monte Carlo algorithms
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Publication:1731001
DOI10.1007/s10955-018-2195-6OpenAlexW3105339266WikidataQ128901558 ScholiaQ128901558MaRDI QIDQ1731001
Publication date: 6 March 2019
Published in: Journal of Statistical Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1806.05985
Markov chain Monte Carlokinetic equationnumerical simulationLangevin dynamicshybrid Monte Carlorandom number generatorCoulomb gassingular stochastic differential equationMonte Carlo adjusted Langevin
Monte Carlo methods (65C05) Interacting particle systems in time-dependent statistical mechanics (82C22) Random measures (60G57)
Related Items (7)
Macroscopic and edge behavior of a planar jellium ⋮ On boundary confinements for the Coulomb gas ⋮ Territorial behaviour of buzzards versus random matrix spacing distributions ⋮ Fast sampling from \(\beta \)-ensembles ⋮ Geometric ergodicity of Langevin dynamics with Coulomb interactions ⋮ A localization theorem for the planar Coulomb gas in an external field ⋮ Coulomb Gases Under Constraint: Some Theoretical and Numerical Results
Uses Software
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