MARC Bibliographic Record

LEADER01851cam a2200397 i 4500
001 991022235624302122
005 20180121125758.0
008 170804t20172017enka b 001 0 eng c
010    $a 2017025043
020    $a9781107129931$qhardcover ;$qalkaline paper
020    $a1107129931$qhardcover ;$qalkaline paper
035    $a(OCoLC)996966293
035    $a(YBP)14593304
035    $a(OCoLC)ocn996966293
035    $a(EXLNZ-01UWI_NETWORK)9912423064902121
040    $aOU/DLC$beng$erda$cOSU$dDLC$dBTCTA$dOCLCO$dOCLCF$dYDX$dOCLCO
042    $apcc
049    $aGZMA
050 00 $aQC174.85.M64$bB43 2017
082 00 $a530.1201/518282$223
100 1_ $aBecca, Federico,$d1972-$eauthor.
245 10 $aQuantum Monte Carlo approaches for correlated systems /$cFederico Becca, Sandro Sorella.
264 _1 $aCambridge, United Kingdom ;$aNew York, NY :$bCambridge University Press,$c2017.
264 _4 $c©2017
300    $axii, 274 pages :$billustrations ;$c26 cm
336    $atext$btxt$2rdacontent
337    $aunmediated$bn$2rdamedia
338    $avolume$bnc$2rdacarrier
504    $aIncludes bibliographical references and index.
505 0_ $aCorrelated models and wave functions -- Probability theory -- Monte Carlo sampling and Markov chains -- Langevin molecular dynamics -- Variational Monte Carlo -- Optimization of variational wave functions -- Time-dependent variational Monte Carlo -- Green's function Monte Carlo -- Reptation quantum Monte Carlo -- Fixed-node approximation -- Auxiliary field quantum Monte Carlo -- Realistic simulations on the continuum.
650 _0 $aMonte Carlo method.
650 _0 $aVariational principles.
650 _7 $aMonte Carlo method.$2fast$0(OCoLC)fst01025819
650 _7 $aVariational principles.$2fast$0(OCoLC)fst01164195
700 1_ $aSorella, Sandro,$d1960-$eauthor.
950    $a20180121$bgobi$cc$dp$egls$9local
LEADER02866nam a2200349 i 4500
001 991023335399802122
005 20171120164522.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 150324s2017||||enk o ||1 0|eng|d
020    $a9781316417041 (ebook)
020    $z9781107129931 (hardback)
035    $a(UkCbUP)CR9781316417041
035    $a(EXLNZ-01UWI_NETWORK)9913897079702121
040    $aUkCbUP$beng$erda$cUkCbUP
050 00 $aQC174.85.M64$bB43 2017
082 00 $a530.1201/518282$223
100 1_ $aBecca, Federico,$d1972-$eauthor.
245 10 $aQuantum Monte Carlo approaches for correlated systems /$cFederico Becca, National Research Council, Sandro Sorella, International School for Advanced Studies, Trieste.
264 _1 $aCambridge :$bCambridge University Press,$c2017.
300    $a1 online resource (xii, 274 pages) :$bdigital, PDF file(s).
336    $atext$btxt$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
347    $adata file$2rda
500    $aTitle from publisher's bibliographic system (viewed on 17 Nov 2017).
505 0_ $aCorrelated models and wave functions -- Probability theory -- Monte Carlo sampling and Markov chains -- Langevin molecular dynamics -- Variational Monte Carlo -- Optimization of variational wave functions -- Time-dependent variational Monte Carlo -- Green's function Monte Carlo -- Reptation quantum Monte Carlo -- Fixed-node approximation -- Auxiliary field quantum Monte Carlo -- Realistic simulations on the continuum.
520    $aOver 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.
650 _0 $aMonte Carlo method.
650 _0 $aVariational principles.
700 1_ $aSorella, Sandro,$d1960-$eauthor.
776 08 $iPrint version: $z9781107129931
856 40 $uhttps://doi.org/10.1017/9781316417041

MMS IDs

Document ID: 9912423064902121
Network Electronic IDs: 9913897079702121
Network Physical IDs: 9912423064902121
mms_mad_ids: 991022235624302122, 991023335399802122
mms_ml_ids: 991013671162602124