Description

Book Synopsis
In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random Number Generators for Parallel Applications Ashok Srinivasan, David M. Ceperley and Michael Mascagni Between Classical and Quantum Monte Carlo Methods: Variational QMC Dario Bressanini and Peter J. Reynolds Monte Carlo Eigenvalue Methods in Quantum Mechanics and Statistical Mechanics M. P. Nightingale and 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 and William L. Hase Monte Carlo Approaches to the Protein Folding Problem Jeffrey Skolnick and Andrzej Kolinski Entropy Sampling Monte Carlo for Polypeptides and Proteins Harold A. Scheraga and Minh-Hong Hao Macrostate Dissection of Thermodynamic Monte Carlo Integrals Bruce W. Church, Alex Ulitsky, and David Shalloway Simulated An

Table of Contents
An Introduction to the Monte Carlo Method for Particle Simulations (J. Siepmann).

Random Number Generators for Parallel Applications (A. Srinivasan, et al.).

Between Classical and Quantum Monte Carlo Methods: "Variational" QMC (D. Bressanini & P. Reynolds).

Monte Carlo Eigenvalue Methods in Quantum Mechanics and Statistical Methods (M. Nightingale & C. Umrigar).

Adaptive Path-Integral Monte Carlo Methods for Accurate Computation of Molecular Thermodynamic Properties (R. Topper).

Monte Carlo Sampling for Classical Trajectory Simulations (G. Peslherbe, et al.).

Monte Carlo Approaches to the Protein Folding Problem (J. Skolnick & A. Kolinski).

Entropy Sampling Monte Carlo for Polypeptides and Proteins (H. Scheraga & M. Hao).

Macrostate Dissection of Thermodynamic Monte Carlo Integrals (B. Church, et al.).

Simulated Annealing-Optimal Histogram Methods (D. Ferguson & D. Garrett).

Monte Carlo Methods for Polymeric Systems (J. de Pablo & F. Escobedo).

Thermodynamic-Scaling Methods in Monte Carlo and Their Application to Phase Equilibria (J. Valleau).

Semigrand Canonical Monte Carlo Simulation: Integration Along Coexistence Lines (D. Kofke).

Monte Carlo Methods for Simulating Phase Equilibria of Complex Fluids (J. Siepmann).

Reactive Canonical Monte Carlo (J. Johnson).

New Monte Carlo Algorithms for Classical Spin Systems (G. Barkema & M. Newman).

Indexes.

Monte Carlo Methods in Chemical Physics Volume

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A Hardback by David M. Ferguson, J. Ilja Siepmann, Donald G. Truhlar

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    View other formats and editions of Monte Carlo Methods in Chemical Physics Volume by David M. Ferguson

    Publisher: John Wiley & Sons Inc
    Publication Date: 02/12/1998
    ISBN13: 9780471196303, 978-0471196303
    ISBN10: 0471196304

    Description

    Book Synopsis
    In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random Number Generators for Parallel Applications Ashok Srinivasan, David M. Ceperley and Michael Mascagni Between Classical and Quantum Monte Carlo Methods: Variational QMC Dario Bressanini and Peter J. Reynolds Monte Carlo Eigenvalue Methods in Quantum Mechanics and Statistical Mechanics M. P. Nightingale and 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 and William L. Hase Monte Carlo Approaches to the Protein Folding Problem Jeffrey Skolnick and Andrzej Kolinski Entropy Sampling Monte Carlo for Polypeptides and Proteins Harold A. Scheraga and Minh-Hong Hao Macrostate Dissection of Thermodynamic Monte Carlo Integrals Bruce W. Church, Alex Ulitsky, and David Shalloway Simulated An

    Table of Contents
    An Introduction to the Monte Carlo Method for Particle Simulations (J. Siepmann).

    Random Number Generators for Parallel Applications (A. Srinivasan, et al.).

    Between Classical and Quantum Monte Carlo Methods: "Variational" QMC (D. Bressanini & P. Reynolds).

    Monte Carlo Eigenvalue Methods in Quantum Mechanics and Statistical Methods (M. Nightingale & C. Umrigar).

    Adaptive Path-Integral Monte Carlo Methods for Accurate Computation of Molecular Thermodynamic Properties (R. Topper).

    Monte Carlo Sampling for Classical Trajectory Simulations (G. Peslherbe, et al.).

    Monte Carlo Approaches to the Protein Folding Problem (J. Skolnick & A. Kolinski).

    Entropy Sampling Monte Carlo for Polypeptides and Proteins (H. Scheraga & M. Hao).

    Macrostate Dissection of Thermodynamic Monte Carlo Integrals (B. Church, et al.).

    Simulated Annealing-Optimal Histogram Methods (D. Ferguson & D. Garrett).

    Monte Carlo Methods for Polymeric Systems (J. de Pablo & F. Escobedo).

    Thermodynamic-Scaling Methods in Monte Carlo and Their Application to Phase Equilibria (J. Valleau).

    Semigrand Canonical Monte Carlo Simulation: Integration Along Coexistence Lines (D. Kofke).

    Monte Carlo Methods for Simulating Phase Equilibria of Complex Fluids (J. Siepmann).

    Reactive Canonical Monte Carlo (J. Johnson).

    New Monte Carlo Algorithms for Classical Spin Systems (G. Barkema & M. Newman).

    Indexes.

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