Buch, Englisch, 936 Seiten, Format (B × H): 172 mm x 247 mm, Gewicht: 1760 g
Buch, Englisch, 936 Seiten, Format (B × H): 172 mm x 247 mm, Gewicht: 1760 g
ISBN: 978-0-19-870864-3
Verlag: Oxford University Press
Applied Computational Physics is a graduate-level text stressing three essential elements: advanced programming techniques, numerical analysis, and physics. The goal of the text is to provide students with essential computational skills that they will need in their careers, and to increase the confidence with which they write computer programs designed for their problem domain. The physics problems give them an opportunity to reinforce their programming skills, while the acquired programming skills augment their ability to solve physics problems. The C++ language is used throughout the text. Physics problems include Hamiltonian systems, chaotic systems, percolation, critical phenomena, few-body and multi-body quantum systems, quantum field theory, simulation of radiation transport, and data modeling.
The book, the fruit of a collaboration between a theoretical physicist and an experimental physicist, covers a broad range of topics from both viewpoints. Examples, program libraries, and additional documentation can be found at the companion website. Hundreds of original problems reinforce programming skills and increase the ability to solve real-life physics problems at and beyond the graduate level.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik
- Naturwissenschaften Physik Quantenphysik Radioaktivität
- Naturwissenschaften Physik Angewandte Physik
- Naturwissenschaften Physik Quantenphysik Hochenergiephysik
- Naturwissenschaften Physik Mechanik
- Naturwissenschaften Physik Quantenphysik Teilchenphysik
- Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
Weitere Infos & Material
- 1: Building Programs in an Linux Environment
- 2: Encapsulation and the C++ class
- 3: Some Useful Classes with Applications
- 4: Interpolation and Extrapolation
- 5: Numerical Quadrature
- 6: How to Write a Class
- 7: Monte Carlo Methods
- 8: Precolation and Universality
- 9: Parallel Computing
- 10: Graphics for Physicists
- 11: Ordinary Differential Equations
- 12: Polymorphism
- 13: Nonlinear Dynamics and Chaos
- 14: Rotations and Lorentz Transformations
- 15: Simulation
- 16: Data Modeling
- 17: Templates, the Standard C++ Library, and Modern C++
- 18: Many Body Dynamics
- 19: Continuum Dynamics
- 20: Classical Spin Systems
- 21: Quantum Mechanics I - Few Body Systems
- 22: Quantum Spin Systems
- 23: Quantum Mechanics II - Many Body Systems
- 24: Quantum Field Theory




