An Introduction to Quantum Monte Carlo Methods (eBook)

Tao Pang (Autor)

eBook Download: EPUB

2016
Morgan & Claypool Publishers (Verlag)
978-1-68174-173-4 (ISBN)

Infos

This book focuses on the diffusion 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. Several quantum many-body systems are analyzed within and studied in detail. The book includes exercises to help digest the materials covered. It can be used as a tutorial to learn the diffusion and path-integral Monte Carlo or a recipe for developing new research. Two complete Java programs are included and ready for download and adoption.

Autor

Tao Pang is Professor of Physics at the University of Nevada, Las Vegas (UNLV). Following his higher education at Fudan University, 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 1991. He has been Professor of Physics at UNLV since 2002. His main areas of research include condensed matter theory and computational physics.

Inhalt

Table of Contents: Preface / Acknowledgements / Author biography / Chapter 1: Introduction / Chapter 2: The Metropolis algorithm / Chapter 3: Variational Monte Carlo / Chapter 4: Diffusion Monte Carlo / Chapter 5: Path-integral Monte Carlo

Produkt-Details

• Erscheint lt. Verlag: 7.12.2016
• Reihe/Serie: IOP Concise Physics
• Reihe/Serie: IOP Concise Physics
• Reihe/Serie: ISSN
• Zusatzinfo: With figures in colour and in black and white
• Verlagsort: San Rafael
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Atom- / Kern- / Molekularphysik
• Schlagworte: monte carlo methods, metropolis algorithm, quantum dots, 4He clusters, many-body systems, cold atoms, block algorithms
• ISBN-10: 1-68174-173-3 / 1681741733
• ISBN-13: 978-1-68174-173-4 / 9781681741734