Computational physics
著者
書誌事項
Computational physics
Cambridge University Press, 2007
2nd ed
- : hbk
- : pbk
大学図書館所蔵 全31件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 1. Introduction
- 2. Quantum scattering with a spherically symmetric potential
- 3. The variational method for the Schroedinger equation
- 4. The Hartree-Fock method
- 5. Density functional theory
- 6. Solving the Schroedinger equation in periodic solids
- 7. Classical equilibrium statistical mechanics
- 8. Molecular dynamics simulations
- 9. Quantum molecular dynamics
- 10. The Monte Carlo method
- 11. Transfer matrix and diagonalisation of spin chains
- 12. Quantum Monte Carlo methods
- 13. The infinite element method for partial differential equations
- 14. The lattice Boltzmann method for fluid dynamics
- 15. Computational methods for lattice field theories
- 16. High performance computing and parallelism
- Appendix A. Numerical methods
- Appendix B. Random number generators
- References
- Index.
「Nielsen BookData」 より