Statistical Mechanics: Algorithms and Computations


€50,99
Auteur Krauth
Taal ENG- Engels
Bindwijze Paperback
ISBN/EAN 9780198515364
Serie Oxford Master Series in Physics
Seriedeel 13
Genre Onderwijs
Doelgroep Tieners en jongvolwassenen, Volwassenen en jong volwassenen, Volwassenen
BookTok categorie Studieboek / academisch
Title: Default Title
Price:
Sale price€50,99

This study book by Werner Krauth discusses the computational approach within modern statistical physics. The book is intended for students, teachers, and researchers who are looking for deeper insight in this field, with clear explanations and an attractive layout. By combining illustrations, tables, and algorithms, it provides informative support for complex theoretical concepts.

Contents

The book covers various topics in statistical physics, such as the hard-sphere fluid model, classical spin systems, quantum particles, and Bose-Einstein condensation. Particular attention is given to algorithmic methods, ranging from simple enumeration to advanced Monte Carlo techniques. This text discusses the computational aspects without getting bogged down in implementation details, making it a clear and accessible reference work. The figures, tables, and concise printed algorithms can be fully reproduced with minimal programming knowledge. The book is self-contained and appeals to a broad audience in the natural and related sciences. An accompanying CD allows the content, such as illustrations and programs, to be integrated into one’s own presentations.

Product specifications

  • Author: Krauth
  • Series: Oxford Master Series in Physics, Volume 13
  • Publisher: Oxford University Press
  • Publication date: 2006-09-14
  • Number of pages: 360
  • ISBN: 9780198515364
  • Topic: Statistical physics
  • BISAC: SCIENCE / Physics / General

About the author

Werner Krauth is a professor of physics at the Laboratoire de Physique Statistique of the Ecole Normale Supérieure in Paris and a research director at the CNRS in France.

Recommended for you

Last viewed