Monte Carlo sampling in diffusive dynamical systems

DOI10.1063/1.5025627zbMath1391.37056arXiv1804.06698OpenAlexW3104036924WikidataQ88952899 ScholiaQ88952899MaRDI QIDQ4575492

David P. Sanders, Diego Tapias, Eduardo G. Altmann

Publication date: 13 July 2018

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.06698

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Simulation of dynamical systems (37M05) Approximation methods and numerical treatment of dynamical systems (37M99)

Related Items (1)

Taming chaos to sample rare events: The effect of weak chaos

Uses Software

• Dynamicalbilliards.jl

Cites Work

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• Multicanonical MCMC for sampling rare events: an illustrative review
• Chaos, spatial extension, transport, and nonequilibrium thermodynamics
• Statistical properties of Lorentz gas with periodic configuration of scatterers
• Transient chaos. Complex dynamics in finite-time scales
• Rare event computation in deterministic chaotic systems using genealogical particle analysis
• Diffusion in the Lorentz Gas
• Handbook of Statistical Distributions with Applications
• Rare Event Simulation using Monte Carlo Methods
• An Introduction to Chaos in Nonequilibrium Statistical Mechanics
• Chaos, Scattering and Statistical Mechanics

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