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Quantum Monte Carlo Approaches for Correlated Systems

By: (Author) Federico Becca , (Author) Sandro Sorella

Manufactured on Demand
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Ksh 11,650.00

Format: Hardback or Cased Book

ISBN-10: 1107129931

ISBN-13: 9781107129931

Publisher: Cambridge University Press

Imprint: Cambridge University Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Nov 30th, 2017

Print length: 286 Pages

Weight: 712 grams

Dimensions (height x width x thickness): 18.20 x 25.40 x 1.90 cms

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A comprehensive introduction to state-of-the-art quantum Monte Carlo techniques for applications in strongly-interacting systems. Including variational wave functions, stochastic samplings, the variational technique, optimisation techniques, real-time dynamics and projection methods and recent developments on the continuum space. An extensive resource for students and researchers.
Over the past several decades, computational approaches to studying strongly-interacting systems have become increasingly varied and sophisticated. This book provides a comprehensive introduction to state-of-the-art quantum Monte Carlo techniques relevant for applications in correlated systems. Providing a clear overview of variational wave functions, and featuring a detailed presentation of stochastic samplings including Markov chains and Langevin dynamics, which are developed into a discussion of Monte Carlo methods. The variational technique is described, from foundations to a detailed description of its algorithms. Further topics discussed include optimisation techniques, real-time dynamics and projection methods, including Green''s function, reptation and auxiliary-field Monte Carlo, from basic definitions to advanced algorithms for efficient codes, and the book concludes with recent developments on the continuum space. Quantum Monte Carlo Approaches for Correlated Systems provides an extensive reference for students and researchers working in condensed matter theory or those interested in advanced numerical methods for electronic simulation.

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