Mathematical strategies in the coarse-graining of extensive systems: Error quantification and adaptivity

Journal of Non-Newtonian Fluid Mechanics

Volumn 152, Issue 1-3, 2008, Pages 101-112

  Katsoulakis, Markos A ^a   Plecháč, Petr ^b   Rey Bellet, Luc ^a   Tsagkarogiannis, Dimitrios K ^c  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b UNIVERSITY OF WARWICK   (United Kingdom)

^c MAX PLANCK INSTITUTE FOR MATHEMATICS IN THE SCIENCES   (Germany)

Author keywords

A posteriori error estimate; Adaptive coarse graining; Cluster expansion; Coarse grained Monte Carlo method; Coarse graining; Gibbs measure; Lattice spin systems; Relative entropy

Indexed keywords

APPROXIMATION THEORY; CLUSTER ANALYSIS; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES;

A POSTERIORI ERROR ESTIMATE; CLUSTER EXPANSION; COARSE-GRAINING; ERROR QUANTIFICATION; GIBBS MEASURE; LATTICE SPIN SYSTEMS; RELATIVE ENTROPY;

COMPUTATIONAL FLUID DYNAMICS;

APPROXIMATION THEORY; CLUSTER ANALYSIS; COMPUTATIONAL FLUID DYNAMICS; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES;

EID: 43649102194     PISSN: 03770257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jnnfm.2007.05.005     Document Type: Article

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