Quantum Monte Carlo Methods: Algorithms for Lattice Models

Gubernatis, James; Kawashima, Naoki; Werner, Philipp

ISBN 10: 1107006422 / ISBN 13: 9781107006423

Editore: Cambridge University Press, 2016

In. Codice articolo ria9781107006423_new

Riassunto:

The first textbook to provide a pedagogical examination of the major algorithms used in quantum Monte Carlo simulations.

Informazioni sugli autori: James Gubernatis works at the Los Alamos National Laboratory. He is a Fellow of the APS and was elected Chair of the APS' Division of Computational Physics. He has represented the United States on the Commission of Computational Physics of IUPAP for nine years, and has chaired the Commission for three years.

Naoki Kawashima is a Professor at the University of Tokyo. He is a member of the Society of Cognitive Science, and has been a member of the Steering Committee for the Public Use of the Supercomputer at the ISSP for the last 15 years. He received the Ryogo Kubo Memorial Prize for his contributions to the development of loop/cluster algorithms in 2002.

Philipp Werner is a Professor at the University of Fribourg. In 2010, he received the IUPAP Young Scientist Prize in Computational Physics for the development and implementation of quantum Monte Carlo methods which transformed the study of interacting electrons in solids.

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Titolo: Quantum Monte Carlo Methods: Algorithms for ...
Casa editrice: Cambridge University Press
Data di pubblicazione: 2016
Legatura: Rilegato
Condizione: New