The Resource An introduction to quantum Monte Carlo methods, Tao Pang
An introduction to quantum Monte Carlo methods, Tao Pang
Resource Information
The item An introduction to quantum Monte Carlo methods, Tao Pang represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item An introduction to quantum Monte Carlo methods, Tao Pang represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and pathintegral quantum Monte Carlo methods in manybody physics and provides a concise but complete introduction to the Metropolis algorithm and its applications in these two techniques. To explore the schemes in clarity, several quantum manybody systems are analysed and studied in detail. The book includes exercises to help digest the materials covered. It can be used as a tutorial to learn the discussion and pathintegral Monte Carlo or a recipe for developing new research in the reader's own area. Two complete Java programs, one for the discussion Monte Carlo of 4He clusters on a graphite surface and the other for the pathintegral Monte Carlo of cold atoms in a potential trap, are ready for download and adoption
 Language
 eng
 Extent
 1 online resource (1 volume (various pagings))
 Note

 "Version: 20161201"Title page verso
 "A Morgan & Claypool publication as part of IOP Concise Physics"Title page verso
 Title from PDF title page (viewed on January 13, 2017)
 Contents

 Preface  1. Introduction  1.1. Sampling  1.2. Randomnumber generators
 2. The Metropolis algorithm  2.1. Importance sampling  2.2. Classical liquids  2.3. Block algorithms
 3. Variational Monte Carlo  3.1. Variational principle  3.2. The Metropolis step  3.3. Kinetic energy and wavefunction  3.4. Quantum dots
 4. Diffusion Monte Carlo  4.1. The algorithm  4.2. Evaluation of physical quantities  4.3. 4He clusters on a graphite surface
 5. Pathintegral Monte Carlo  5.1. Introduction  5.2. The propagation of a quantum state  5.3. Singleparticle system  5.4. Quantum manybody systems  5.5. Physical properties of extended systems  5.6. Cold atoms
 Isbn
 9781681742373
 Label
 An introduction to quantum Monte Carlo methods
 Title
 An introduction to quantum Monte Carlo methods
 Statement of responsibility
 Tao Pang
 Language
 eng
 Summary
 Monte Carlo methods have been very prominent in computer simulation of various systems in physics, chemistry, biology, and materials science. This book focuses on the discussion and pathintegral quantum Monte Carlo methods in manybody physics and provides a concise but complete introduction to the Metropolis algorithm and its applications in these two techniques. To explore the schemes in clarity, several quantum manybody systems are analysed and studied in detail. The book includes exercises to help digest the materials covered. It can be used as a tutorial to learn the discussion and pathintegral Monte Carlo or a recipe for developing new research in the reader's own area. Two complete Java programs, one for the discussion Monte Carlo of 4He clusters on a graphite surface and the other for the pathintegral Monte Carlo of cold atoms in a potential trap, are ready for download and adoption
 Biographical or historical data
 Tao Pang is Professor of Physics at the University of Nevada, Las Vegas (UNLV). Following his higher education at Fudan University, one of the most prestigious institutions in China, he obtained his PhD in condensed matter theory from the University of Minnesota in 1989. He then spent two years as a Miller Research Fellow at the University of California, Berkeley, before joining the UNLV physics faculty in the fall of 1991. He has been Professor of Physics at UNLV since 2002. His main areas of research include condensed matter theory and computational physics.
 Cataloging source
 CaBNVSL
 http://library.link/vocab/creatorDate
 1959
 http://library.link/vocab/creatorName
 Pang, Tao
 Dewey number
 541/.28
 Illustrations
 illustrations
 Index
 no index present
 LC call number
 QD462.6.M66
 LC item number
 P365 2016eb
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 http://library.link/vocab/relatedWorkOrContributorName

 Morgan & Claypool Publishers
 Institute of Physics (Great Britain)
 Series statement
 IOP concise physics,
 http://library.link/vocab/subjectName

 Monte Carlo method
 Quantum statistics
 Quantum Physics
 SCIENCE
 Monte Carlo method
 Quantum chemistry
 Target audience
 adult
 Label
 An introduction to quantum Monte Carlo methods, Tao Pang
 Note

 "Version: 20161201"Title page verso
 "A Morgan & Claypool publication as part of IOP Concise Physics"Title page verso
 Title from PDF title page (viewed on January 13, 2017)
 Bibliography note
 Includes bibliographical references
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 black and white
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Preface  1. Introduction  1.1. Sampling  1.2. Randomnumber generators
 2. The Metropolis algorithm  2.1. Importance sampling  2.2. Classical liquids  2.3. Block algorithms
 3. Variational Monte Carlo  3.1. Variational principle  3.2. The Metropolis step  3.3. Kinetic energy and wavefunction  3.4. Quantum dots
 4. Diffusion Monte Carlo  4.1. The algorithm  4.2. Evaluation of physical quantities  4.3. 4He clusters on a graphite surface
 5. Pathintegral Monte Carlo  5.1. Introduction  5.2. The propagation of a quantum state  5.3. Singleparticle system  5.4. Quantum manybody systems  5.5. Physical properties of extended systems  5.6. Cold atoms
 Control code
 971508914
 Dimensions
 unknown
 Extent
 1 online resource (1 volume (various pagings))
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9781681742373
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1088/9781681741093
 Other physical details
 illustrations
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)971508914
 Label
 An introduction to quantum Monte Carlo methods, Tao Pang
 Note

 "Version: 20161201"Title page verso
 "A Morgan & Claypool publication as part of IOP Concise Physics"Title page verso
 Title from PDF title page (viewed on January 13, 2017)
 Bibliography note
 Includes bibliographical references
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 black and white
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Preface  1. Introduction  1.1. Sampling  1.2. Randomnumber generators
 2. The Metropolis algorithm  2.1. Importance sampling  2.2. Classical liquids  2.3. Block algorithms
 3. Variational Monte Carlo  3.1. Variational principle  3.2. The Metropolis step  3.3. Kinetic energy and wavefunction  3.4. Quantum dots
 4. Diffusion Monte Carlo  4.1. The algorithm  4.2. Evaluation of physical quantities  4.3. 4He clusters on a graphite surface
 5. Pathintegral Monte Carlo  5.1. Introduction  5.2. The propagation of a quantum state  5.3. Singleparticle system  5.4. Quantum manybody systems  5.5. Physical properties of extended systems  5.6. Cold atoms
 Control code
 971508914
 Dimensions
 unknown
 Extent
 1 online resource (1 volume (various pagings))
 File format
 multiple file formats
 Form of item
 online
 Isbn
 9781681742373
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1088/9781681741093
 Other physical details
 illustrations
 Reformatting quality
 access
 Specific material designation
 remote
 System control number
 (OCoLC)971508914
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