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Quantum Monte Carlo : origins, development, applications /

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Anderson, James B., 1935-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Oxford University Press, 2007.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Quantum Monte Carlo :  |b origins, development, applications /  |c [compiled by] James B. Anderson. 
260 |a Oxford ;  |a New York :  |b Oxford University Press,  |c 2007. 
300 |a 1 online resource (xxxii, 164 pages) 
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505 0 |a Contents; 1 E. Schrödinger: Über die Umkehrung der Naturgesetze; 2 N. Metropolis & S. Ulam: The Monte Carlo method; 3 M.H. Kalos: Monte Carlo calculations of the ground state of three- and four-body nuclei; 4 H. Conroy: Molecular Schrödinger equation. II. Monte Carlo evaluation of integrals; 5 W.L. McMillan: Ground state of liquid [sup(4)]He; 6 M.H. Kalos: Stochastic wave function for atomic helium; 7 R.C. Grimm & R.G. Storer: Monte-Carlo solution of Schrödinger's equation; 8 M.H. Kalos, D. Levesque, & L. Verlet: Helium at zero temperature with hard-sphere and other forces. 
505 8 |a 9 K.S. Liu, M.H. Kalos, & G.V. Chester: Quantum hard spheres in a channel10 J.B. Anderson: A random-walk simulation of the Schrödinger equation: H[sup(+)sub(3)]; 11 D.J. Klein & H.M. Pickett: Nodal hypersurfaces and Anderson's random-walk simulation of the Schrödinger equation; 12 J.B. Anderson: Quantum chemistry by random walk. H [sup(2)]P, H[sup(+)sub(3)] D[sub(3h)] [sup(1)]A'[sub(1)], H[sub(2)] [sup(3)]S. 
520 |a Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and straightforward and rooted in statistics and probability theory, their defining characteristic being that the methodology relies on random or pseudo-random sequences of numbers. It is a technique of numerical analysis based on the approximate solution. 
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650 0 |a Monte Carlo method  |v Abstracts. 
650 0 |a Quantum theory  |v Abstracts. 
650 6 |a Méthode de Monte-Carlo  |v Résumés analytiques. 
650 6 |a Théorie quantique  |v Résumés analytiques. 
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650 7 |a Monte Carlo method  |2 fast 
650 7 |a Quantum theory  |2 fast 
655 7 |a Abstracts  |2 fast 
700 1 |a Anderson, James B.,  |d 1935- 
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