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Computer Simulation in Physics and Engineering

Author: Martin Oliver Steinhauser
Publisher: Berlin ; Boston : De Gruyter, [2012] ©2013
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. Molecular dynamics computes a molecule's reactions and dynamics based on physical models; Monte Carlo uses random numbers to image a system's behaviour when there are different possible outcomes with related probabilities. The work conveys both the theoretical  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Martin Oliver Steinhauser
ISBN: 9783110256062 3110256061 9783110255904 3110255901
OCLC Number: 1002061174
Language Note: In English.
Description: 1 online resource (529 pages)
Contents: Frontmatter --
Preface --
Contents --
List of Algorithms --
Chapter 1. Introduction to computer simulation --
Chapter 2. Scientific Computing in C --
Chapter 3. Fundamentals of statistical physics --
Chapter 4. Inter- and intramolecular potentials --
Chapter 5. Molecular Dynamics simulations --
Chapter 6. Monte Carlo simulations --
Chapter 7. Advanced topics, and applications in soft matter --
Appendix A. The software development life cycle --
Appendix B. Installation guide to Cygwin --
Appendix C. Introduction to the UNIX/Linux programming environment --
Appendix D. Sample program listings --
Appendix E. Reserved keywords in C --
Appendix F. Functions of the standard library <string.h> --
Appendix G. Elementary combinatorial problems --
Appendix H. Some useful constants --
Appendix I. Installing the GNU Scientific Library, GSL --
Appendix J. Standard header files of the ANSI-C library --
Appendix K. The central limit theorem --
Bibliography --
Glossary of Acronyms --
Index --
Authors.
Responsibility: Martin Oliver Steinhauser.
More information:

Abstract:

This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. Molecular dynamics computes a molecule's reactions and dynamics based on physical models; Monte Carlo uses random numbers to image a system's behaviour when there are different possible outcomes with related probabilities. The work conveys both the theoretical foundations as well as applications and "tricks of the trade", that often are scattered across various papers. Thus it will meet a need and fill a gap for every scientist who needs computer simulations for his/her task at hand. In addition to being a reference, case studies and exercises for use as course reading are included.

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