Adaptive integration method for Monte Carlo simulations

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 69, Issue 5, 2004, Pages 15-

  Fasnacht, Marc ^a   Swendsen, Robert H ^a   Rosenberg, John M ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BIOPHYSICS; MONTE CARLO METHOD; PROCEDURES; STATISTICAL MODEL; THEORETICAL MODEL; THERMODYNAMICS;

ALGORITHMS; BIOPHYSICS; MODELS, STATISTICAL; MODELS, THEORETICAL; MONTE CARLO METHOD; THERMODYNAMICS;

COMPUTER SIMULATION; DENSITY (SPECIFIC GRAVITY); ERROR DETECTION; FREE ENERGY; FUNCTIONS; MAGNETIC FIELD EFFECTS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; THERMAL CYCLING; X RAY SCATTERING;

ADAPTIVE INTEGRATION METHODS; ENERGY BARRIERS; HISTOGRAMS; THERMODYNAMIC CYCLES;

INTEGRAL EQUATIONS;

EID: 84965088938     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.69.056704     Document Type: Article

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44. We note that steps involving the counting statistics due to different particle species ((Formula presented) (Formula presented), (Formula presented), and (Formula presented)) cancel each other out. So these steps do not contribute to the overall calculation of the energy difference of the cycle as would expect.