Gauß und Monte-Carlo Integration

Übungen:  Gauß und Monte-Carlo Integrale

Übung 4.18

Übung 4.22

Übung 4.26

Projekt: Energy and specific heat of an ensemble of classical particles

Quellen im Internet:

1) Monte-Carlo-Integration, J. Kersten, 1998

     Insbesondere:

       Paper zum Vortrag vom 7. Juli 1998

2) The Basics of Monte Carlo Simulations, Joy Woller, University of Nebraska-Lincoln Physical Chemistry Lab (Chem 484), Spring 1996

3) Monte Carlo Methods and Simulation, Angus MacKinnon, Computational Physics, Imperial College of Science, Technology and Medicine

4) Numerical Recipes in C, The Art of Scientific Computing - Second Edition, W.H. Press, S.A. Teukolsky, W.T. Vetterling, B. P. Flannery, Cambridge University Press, 1997

     Insbesondere:

      4 Integration of Functions

       4.5 Gaussian Quadratures and Orthogonal Polynomials
       4.6 Multidimensional Integrals

      7 Random Numbers

       7.6 Simple Monte Carlo Integration
       7.7 Quasi- (that is, Sub-) Random Sequences
       7.8 Adaptive and Recursive Monte Carlo Methods

Verwendete Literatur:

1) P.L. DeVries: A First Course in Computational Physics, John Wiley 1994

2) M. Kalos, P. Whitlok: Monte-Carlo-Methods, John Wiley 1986