An edition of Monte Carlo methods in chemical physics
(1999)
Monte Carlo methods in chemical physics
by Donald G. Truhlar
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Table of Contents
An
Introduction to the Monte Carlo method for particle simulations -- J. Ilja Siepmann
Random number generators for parallel applications -- Ashok Srinivasan, David M. Ceperley, Michael Mascagni
Between classical and quantum Monte Carlo methods : "variational" QMC -- Dario Bressanini, Peter J. Reynolds
Monte Carlo Eigenvalue methods in quantum mechanics and statistical mechanics -- M.P. Nightingale, C.J. Umrigar
Adaptive path-integral Monte Carlo methods for accurate computation of molecular thermodynamic properties -- Robert Q. Topper
Monte Carlo sampling for classical trajectory simulations -- Gilles H. Peslherbe, Haobin Wang, William L. Hase
Monte Carlo approaches to the protein folding problem -- Jeffrey Skolnick, Andrzej Kolinski
Entropy sampling Monte Carlo for polypeptides and proteins -- Harold A. Scheraga, Minh-Hong Hao
Macrostate dissection of thermodynamic Monte Carlo integrals -- Bruce W. Church, Alex Ulitsky, David Shalloway
Simulated annealing : optimal histogram methods -- David M. Ferguson, David G. Garrett
Monte Carlo methods for polymeric systems -- Juan J. de Pablo, Fernando A. Escobeda
Thermodynamic-scaling methods in Monte Carlo and their application to phase equilibria -- John Valleau
Semigrand canonical Monte Carlo simulation : integration along coexistence lines -- David A. Kofke
Monte Carlo methods for simulating phase equilibria of complex fluids -- J. Ilja Siepmann
Reactive canonical Monte Carlo -- J. Karl Johnson
New Monte Carlo algoriths for classical spin systems-- G.T. Barkema, M.E.J. Newman.
Edition Notes
Includes bibliographical references and indexes.
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| July 14, 2024 | Edited by MARC Bot | import existing book |
| October 5, 2021 | Edited by ImportBot | import existing book |
| February 6, 2019 | Created by MARC Bot | import existing book |