A Survey of Computational Physics : Introductory Computational Science / Cristian C. Bordeianu, Rubin H. Landau, José Páez.

Format:

Book

Author/Creator:

Landau, Rubin H., Author.

Bordeianu, Cristian C., Author.

Páez, José, Author.

Language:

English

Subjects (All):

Physics--Data processing.

Physics.

Mathematical physics--Data processing.

Mathematical physics.

Science--Data processing.

Science.

Physical Description:

1 online resource (685 p.)

Place of Publication:

Princeton, NJ : Princeton University Press, [2008]

Language Note:

English

Summary:

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

Contents:

Frontmatter

CONTENTS

Preface

1. Computational Science Basics

2. Errors & Uncertainties in Computations

3. Visualization Tools

4. Object-Oriented Programs: Impedance & Batons

5. Monte Carlo Simulations (Nonthermal)

6. Integration

7. Differentiation & Searching

8. Solving Systems of Equations with Matrices; Data Fitting

9. Differential Equation Applications

10. Fourier Analysis: Signals and Filters

11. Wavelet Analysis & Data Compression

12. Discrete & Continuous Nonlinear Dynamics

13. Fractals & Statistical Growth

14. High-Performance Computing Hardware, Tuning, and Parallel Computing

15. Thermodynamic Simulations & Feynman Quantum Path Integration

16. Simulating Matter with Molecular Dynamics

17. PDEs for Electrostatics & Heat Flow

18. PDE Waves: String, Quantum Packet, and E&M

19. Solitons & Computational Fluid Dynamics

20. Integral Equations in Quantum Mechanics

Appendix A: Glossary

Appendix B: Installing PtPlot & Java Developer's Kit Packages

Appendix C: OpenDX: Industrial-Strength Data Visualization

Appendix D: An MPI Tutorial

Appendix E: Calling LAPACK from C

Appendix F: Software on the CD

Appendix G: Compression via DWT with Thresholding

Bibliography

Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Nov 2019)

ISBN:

9781400841189

1400841186

OCLC:

758335837