Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Books
  3. Many-Body Tree Methods in Physics
  • Cited by 68
  • Susanne Pfalzner, Gesellschaft für Schwerionenforschung (GSI), Darmstadt, Germany, Paul Gibbon, Friedrich-Schiller-Universität, Jena, Germany
Publisher:
Cambridge University Press
Online publication date:
September 2009
Print publication year:
1996
Online ISBN:
9780511529368
DOI:
https://doi.org/10.1017/CBO9780511529368
Subjects:
Physics and Astronomy, Astrophysics
Information

Book description

Studying the dynamics of a large number of particles interacting through long-range forces, commonly referred to as the 'N-body problem', is a central aspect of many different branches of physics. In recent years, significant advances have been made in the development of fast N-body algorithms to deal efficiently with such complex problems. This book is the first to give a thorough introduction to these so-called 'tree methods', setting out the basic principles and giving many practical examples of their use. No prior specialist knowledge is assumed, and the techniques are illustrated throughout with reference to a broad range of applications. The book will be of great interest to graduate students and researchers working on the modelling of systems in astrophysics, plasma physics, nuclear and particle physics, condensed matter physics and materials science.

Reviews

"The book will interest graduate students and researchers working on the modeling of systems in material science and astro, plasma, nuclear and particle, and condensed matter physics. Includes an 8-page alphabetical reference section." Optics and Photonics News

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

Contents

Contents

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.