Markov chains of infinite order and asymptotic satisfaction of balance: Application to the adaptive integration method

Journal of Physical Chemistry B

Volumn 109, Issue 14, 2005, Pages 6701-6704

  Earl, David J ^a   Deem, Michael W ^a  

^a RICE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE INTEGRATION METHODS; ASYMPTOTIC SATISFACTION; DENSITY DISTRIBUTIONS; SAMPLING FACTOR;

ASYMPTOTIC STABILITY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; FUNCTIONS; INTEGRATION; MONTE CARLO METHODS;

MARKOV PROCESSES;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; KINETICS; METHODOLOGY; MONTE CARLO METHOD; MOVEMENT (PHYSIOLOGY); PHYSICAL CHEMISTRY; PROBABILITY; STATISTICAL MODEL; THEORETICAL MODEL; TIME;

ALGORITHMS; CHEMISTRY, PHYSICAL; COMPUTER SIMULATION; KINETICS; MARKOV CHAINS; MODELS, STATISTICAL; MODELS, THEORETICAL; MONTE CARLO METHOD; MOVEMENT; TIME FACTORS;

EID: 17444411538     PISSN: 15206106     EISSN: None     Source Type: Journal    
DOI: 10.1021/jp045508t     Document Type: Article

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