The DOI matches its Crossref record.
Computational Physics
Abstract
First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org/9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistical physics. It will be of interest to graduate students and researchers in theoretical, computational and experimental physics.
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Cited by
Bultreys, T., De Boever, W., & Cnudde, V. (2016) · Earth-Science Reviews · doi:10.1016/j.earscirev.2016.02.001 · Cited by 474
Jeng, M.-S., Yang, R., Song, D., & Chen, G. (2008) · Journal of Heat Transfer · doi:10.1115/1.2818765 · Cited by 305
Wittmer, J. P., Cavallo, A., Xu, H., Zabel, J. E., Polińska, P., Schulmann, N., Meyer, H., Farago, J., Johner, A., Obukhov, S. P., et al. (2011) · Journal of Statistical Physics · doi:10.1007/s10955-011-0354-0 · Cited by 38
Metadata
- Authors
- Thijssen, J.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2007-03-22
- OpenAlex
- W2340039847
- Cited by
- 998
- References
- 0
- FWCI
- 14.47
- Type
- book
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.