Advances Chem Physics V105
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. Pesl…
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Produktdetails
Weitere Autoren: Ferguson / Rice
- ISBN: 978-0-471-19630-3
- EAN: 9780471196303
- Produktnummer: 1470042
- Verlag: John Wiley & Sons
- Sprache: Englisch
- Erscheinungsjahr: 1998
- Seitenangabe: 572 S.
- Masse: H23.5 cm x B15.7 cm x D3.7 cm 1'021 g
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 1021
Über den Autor
DAVID M. FERGUSON, PhD, is Associate Professor of Medicinal Chemistry at the University of Minnesota. He is a member of the graduate faculties in chemical physics and scientific computation. His research specialty is computer simulation of biophysical problems. J. ILJA SIEPMANN, PhD, is Assistant Professor of Chemistry and a member of the graduate faculties in chemical physics and chemical engineering and materials science at the University of Minnesota. His research specialties are computer simulation of complex fluids, statistical mechanics, and prediction of phase equilibria. DONALD G. TRUHLAR, PhD, is I.T. Distinguished Professor of Chemistry at the University of Minnesota, where he is also Director of the University of Minnesota Supercomputer Institute. He is a member of the graduate faculties in chemical physics and scientific computation. His research specialty is theoretical chemical dynamics.
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