Computational Physics / by J. Thijssen. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2007Edition: 2nd EdDescription: xvi, 620pISBN:- 9781139171397
- 530.15Â T347C
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 530.15 T347C (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : Cambridge Core | EB0457 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
530.15 G965F Fast Multipole Methods for the Helmholtz Equation in Three Dimensions | 530.15 K837C Computational Physics : Fortran Version | 530.15 P193I An Introduction to Computational Physics | 530.15 T347C Computational Physics | 530.155 64 N361V Variational Principles and Methods in Theoretical Physics and Chemistry | 530.159 L236G A Guide to Monte Carlo Simulations in Statistical Physics | 530.1595 L231S Statistical Physics : Volume 5 |
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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