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The Resource An introduction to quantum Monte Carlo methods, Tao Pang

An introduction to quantum Monte Carlo methods, Tao Pang

Creator
Author
Contributor
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 path-integral quantum Monte Carlo methods in many-body 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 many-body 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 path-integral 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 path-integral Monte Carlo of cold atoms in a potential trap, are ready for download and adoption
Language
eng
Work
Publication
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. Random-number 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. Path-integral Monte Carlo -- 5.1. Introduction -- 5.2. The propagation of a quantum state -- 5.3. Single-particle system -- 5.4. Quantum many-body systems -- 5.5. Physical properties of extended systems -- 5.6. Cold atoms
Isbn
9781681742373
Instance
Label
An introduction to quantum Monte Carlo methods
Title
An introduction to quantum Monte Carlo methods
Statement of responsibility
Tao Pang
Creator
Contributor
Author
Publisher
Subject
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 path-integral quantum Monte Carlo methods in many-body 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 many-body 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 path-integral 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 path-integral Monte Carlo of cold atoms in a potential trap, are ready for download and adoption
Member of
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
Instantiates
Publication
Distribution
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. Random-number 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. Path-integral Monte Carlo -- 5.1. Introduction -- 5.2. The propagation of a quantum state -- 5.3. Single-particle system -- 5.4. Quantum many-body 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
10.1088/978-1-6817-4109-3
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
Publication
Distribution
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. Random-number 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. Path-integral Monte Carlo -- 5.1. Introduction -- 5.2. The propagation of a quantum state -- 5.3. Single-particle system -- 5.4. Quantum many-body 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
10.1088/978-1-6817-4109-3
Other physical details
illustrations
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)971508914

Subject

Member of

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