A Survey of Computational Physics
eBook - ePub

A Survey of Computational Physics

Introductory Computational Science

  1. 688 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A Survey of Computational Physics

Introductory Computational Science

About this book

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and Páez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics. By treating science, applied mathematics, and computer science together, the book reveals how this knowledge base can be applied to a wider range of real-world problems than computational physics texts normally address.


Designed for a one- or two-semester course, A Survey of Computational Physics will also interest anyone who wants a reference on or practical experience in the basics of computational physics.


  • Accessible to advanced undergraduates

  • Real-world problem-solving approach

  • Java codes and applets integrated with text

  • Companion Web site includes videos of lectures

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Yes, you can access A Survey of Computational Physics by Rubin Landau,José Páez,Cristian C. Bordeianu in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Contents
  5. Preface
  6. 1 Computational Science Basics
  7. 2 Errors & Uncertainties in Computations
  8. 3 Visualization Tools
  9. 4 Object-Oriented Programs: Impedance & Batons
  10. 5 Monte Carlo Simulations (Nonthermal)
  11. 6 Integration
  12. 7 Differentiation & Searching
  13. 8 Solving Systems of Equations with Matrices; Data Fitting
  14. 9 Differential Equation Applications
  15. 10 Fourier Analysis: Signals and Filters
  16. 11 Wavelet Analysis & Data Compression
  17. 12 Discrete & Continuous Nonlinear Dynamics
  18. 13 Fractals & Statistical Growth
  19. 14 High-Performance Computing Hardware, Tuning, and Parallel Computing
  20. 15 Thermodynamic Simulations & Feynman Quantum Path Integration
  21. 16 Simulating Matter with Molecular Dynamics
  22. 17 PDEs for Electrostatics & Heat Flow
  23. 18 PDE Waves: String, Quantum Packet, and E&M
  24. 19 Solitons & Computational Fluid Dynamics
  25. 20 Integral Equations in Quantum Mechanics
  26. Appendix A: Glossary
  27. Appendix B: Installing Packages
  28. Appendix C: OpenDX: Industrial-Strength Data Visualization
  29. Appendix D: An MPI Tutorial
  30. Appendix E: Calling LAPAC K from C
  31. Appendix F: Software on the CD
  32. Bibliography
  33. Index