Computational physics : selected methods, simple exercises, serious applications
著者
書誌事項
Computational physics : selected methods, simple exercises, serious applications
Springer, c1996
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This overview introduces the reader to current fields, including molecular dynamics, hybrid Monte-Carlo algorithms and neural networks. Exercises provide hands-on advice for effective program solutions from a small number of lines to demonstration programs with elaborate graphics. It shows how questions concerning, for example, ageing, many-minima optimization or phase transitions can be treated by appropriate tools. The source code and demonstration graphics are included on a 3.5" MS-DOS diskette.
目次
- 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
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