Computational Many-Particle Physics

  • H. Fehske
  • R. Schneider
  • A. Weiße

Part of the Lecture Notes in Physics book series (LNP, volume 739)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Molecular Dynamics

    1. Front Matter
      Pages 1-1
    2. Ralf Schneider, Amit Raj Sharma, Abha Rai
      Pages 3-40
    3. V. S. Filinov, M. Bonitz, A. Filinov, V. O. Golubnychiy
      Pages 41-60
  3. Classical Monte Carlo

    1. Front Matter
      Pages 61-61
    2. Detlev Reiter
      Pages 63-78
  4. Kinetic Modelling

    1. Front Matter
      Pages 159-159
    2. David Tskhakaya
      Pages 161-189
  5. Semiclassical Approaches

    1. Front Matter
      Pages 221-221
    2. Franz Xaver Bronold
      Pages 223-254
  6. Quantum Monte Carlo

  7. Ab-Initio Methods in Physics and Chemistry

    1. Front Matter
      Pages 413-413
    2. Alexander Quandt
      Pages 415-436
  8. Effective Field Approaches

    1. Front Matter
      Pages 471-471
    2. Andreas Alvermann, Holger Fehske
      Pages 505-526
  9. Iterative Methods for Sparse Eigenvalue Problems

    1. Front Matter
      Pages 527-527
    2. Alexander Weiße, Holger Fehske
      Pages 529-544
    3. Alexander Weiße, Holger Fehske
      Pages 545-577
  10. The Density Matrix Renormalisation Group: Concepts and Applications

    1. Front Matter
      Pages 579-579
    2. Ingo Peschel, Viktor Eisler
      Pages 581-596
    3. Eric Jeckelmann
      Pages 597-619
    4. Eric Jeckelmann, Holger Benthien
      Pages 621-635
    5. Reinhard M. Noack, Salvatore R. Manmana, Stefan Wessel, Alejandro Muramatsu
      Pages 637-652
    6. Ö. Legeza, R.M. Noack, J. Sólyom, L. Tincani
      Pages 653-664
  11. Concepts of High Performance Computing

    1. Front Matter
      Pages 679-679
    2. Hager Georg, Wellein Gerhard
      Pages 731-767
  12. Back Matter
    Pages 769-780

About this book


Complicated many-particle problems abound in nature and in research alike. Plasma physics, statistical physics and condensed matter physics, as primary examples, are all heavily dependent on efficient methods for solving such problems. Addressing graduate students and young researchers, this book presents an overview and introduction to state-of-the-art numerical methods for studying interacting classical and quantum many-particle systems. A broad range of techniques and algorithms are covered, and emphasis is placed on their implementation on modern high-performance computers.


Approximation Density matrix renormalization High-performance computing Many-particle problem Monte Carlo Monte Carlo method Numerical methods Particle Physics Particle-in-cell Renormalization group STATISTICA statistical physics

Editors and affiliations

  • H. Fehske
    • 1
  • R. Schneider
    • 2
  • A. Weiße
    • 1
  1. 1.Universität Greifswald Institut für Physik17489 GreifswaldGermany
  2. 2.Max-Planck-Institut für Plasmaphysik17491 GreifswaldGermany

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