Strongly Correlated Systems Numerical Methods /

This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern rese...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Avella, Adolfo. (Editor), Mancini, Ferdinando. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Series:Springer Series in Solid-State Sciences, 176
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-35106-8
LEADER 03420nam a22004695i 4500
001 15335
003 DE-He213
005 20130727071636.0
007 cr nn 008mamaa
008 130406s2013 gw | s |||| 0|eng d
020 # # |a 9783642351068  |9 978-3-642-35106-8 
024 7 # |a 10.1007/978-3-642-35106-8  |2 doi 
050 # 4 |a QC176-176.9 
072 # 7 |a PNFS  |2 bicssc 
072 # 7 |a SCI077000  |2 bisacsh 
082 0 4 |a 530.41  |2 23 
100 1 # |a Avella, Adolfo.  |e editor. 
245 1 0 |a Strongly Correlated Systems  |b Numerical Methods /  |c edited by Adolfo Avella, Ferdinando Mancini.  |h [electronic resource] : 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2013. 
300 # # |a XXVIII, 325 p. 106 illus., 69 illus. in color.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Springer Series in Solid-State Sciences,  |v 176  |x 0171-1873 ; 
505 0 # |a 1. Ground State and Finite Temperature Lanczos Method -- 2.�The Density Matrix Renormalization Group -- 3. Matrix Product State Algorithms: DMRG, TEBD and Relatives -- 4.�Quantum Criticality with the Multi-scale Entanglement Renormalization Ansatz -- 5. The Time-Dependent Density Matrix Renormalization Groupd -- 6.�Loop Algorithm -- 7. Stochastic Series Expansion Quantum Monte Carlo -- 8. Variatonal�Monte Carlo and Markov Chanis for Computational Physics -- 9. Coupled Cluster Theories for Strongly Correlated Molecular Systems -- 10. Diagrammatic Monte Carlo and Worm Algorithm Techniques -- 11. Fermionic and Continuous Time Quantum Monte Carlo. 
520 # # |a This volume presents, for the very first time, an exhaustive collection of those modern numerical methods specifically tailored for the analysis of Strongly Correlated Systems. Many novel materials, with functional properties emerging from macroscopic quantum behaviors at the frontier of modern research in physics, chemistry and material science, belong to this class of systems. Any technique is presented in great detail by its own inventor or by one of the world-wide recognized main contributors. The exposition has a clear pedagogical cut and fully reports on the most relevant case study where the specific technique showed to be very successful in describing and enlightening the puzzling physics of a particular strongly correlated system. The book is intended for advanced graduate students and post-docs in the field as textbook and/or main reference, but also for other researchers in the field who appreciate consulting a single, but comprehensive, source or wishes to get acquainted, in a as painless as possible way, with the working details of a specific technique. 
650 # 0 |a Physics. 
650 # 0 |a Mathematical physics. 
650 1 4 |a Physics. 
650 2 4 |a Solid State Physics. 
650 2 4 |a Spectroscopy and Microscopy. 
650 2 4 |a Mathematical Methods in Physics. 
700 1 # |a Mancini, Ferdinando.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642351051 
830 # 0 |a Springer Series in Solid-State Sciences,  |v 176  |x 0171-1873 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-35106-8 
912 # # |a ZDB-2-PHA 
950 # # |a Physics and Astronomy (Springer-11651)