Computational Physics Selected Methods Simple Exercises Serious Applications

Computational Physics. Selected Methods, Simple Exercises, Serious Applications is an overview written by leading researchers of a variety of fields and developments. Selected Methods introduce the reader to current fields, including molecular dynamics, hybrid Monte-Carlo algorithms, and neural networks. Simple Exercises give hands-on advice for effective program solutions from a small number of lines to demonstration programs with elaborate graphics. Serious Applications show how questions concerning, for example, aging, many-minima optimisation, or phase transitions can be treated by appropriate tools. The source code and demonstration graphics are included on a 3.5" MS-DOS diskette.

Contents: N. Aksel: Finite element methods in fluid dynamics; A. Blumen: Simulation of chemical reactions; A. Bunde: Random walks on fractals; T. Frauenheim: Introduction to molecular dynamics methods; D. Heermann: Simulation method for macromolecular systems; S. Hess: Molecular dynamics of non-equilibrium processes; K.H.Hoffmann: Matastable systems and stochastic optimisation; W. Janke: Monte-Carlo simulations of spin systems; W. Kinzel: Statistical mechanics of neural networks; H.J. Korsch: Quantum chaos; B. Kramer: Application of the transfer matrix method and finite size scaling in the Anderson model of localization; H-G. Matuttis, I. Morgenstern: Quantum Monte-Carlo simulations of the Hubbard model; H. de Raedt: Quantum dynamics in nano-scale devices; M. Schreiber: Multifractal eigenstates in disordered systems; Stauffer: Algorithms for biological ageing, Random number generation; D. Wolf: Granular materials;