Computational physics : with worked out examples in FORTRAN® and MATLAB® /
Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran® and Matlab®. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics and dynamical systems, as well as ef...
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| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin :
De Gruyter,
[2018]
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| Series: | De Gruyter graduate.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
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| 100 | 1 | |a Bestehorn, Michael, |d 1957- |e author. | |
| 245 | 1 | 0 | |a Computational physics : |b with worked out examples in FORTRAN® and MATLAB® / |c Michael Bestehorn. |
| 264 | 1 | |a Berlin : |b De Gruyter, |c [2018] | |
| 300 | |a 1 online resource (x, 320 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 490 | 1 | |a Graduate | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t 1. Introduction -- |t 2. Nonlinear maps -- |t 3. Dynamical systems -- |t 4. Ordinary differential equations I, initial value problems -- |t 5. Ordinary differential equations II, boundary value problems -- |t 6. Partial differential equations I, basics -- |t 7. Partial differential equations II, applications -- |t 8. Monte Carlo methods (MC) -- |t A. Matrices and systems of linear equations -- |t B. Program library -- |t C. Solutions of the problems -- |t D. README and a short guide to FE-tools -- |t Index |
| 520 | |a Drawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran® and Matlab®. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics and dynamical systems, as well as effects in field theories and macroscopic pattern formation described by (nonlinear) partial differential equations. A chapter on Monte Carlo methods is devoted to problems typically occurring in statistical physics. ContentsIntroduction Nonlinear maps Dynamical systems Ordinary differential equations I Ordinary differential equations II Partial differential equations I, basics Partial differential equations II, applications Monte Carlo methods (MC) Matrices and systems of linear equations Program library Solutions of the problems README and a short guide to FE-tools. | ||
| 546 | |a In English. | ||
| 590 | 0 | |a EBSCO eBook Academic Comprehensive Collection North America | |
| 650 | 0 | |a Mathematical physics. | |
| 650 | 0 | |a Physics |x Data processing. | |
| 730 | 0 | |a WORLDSHARE SUB RECORDS | |
| 776 | 0 | 8 | |i Print version : |a Bestehorn, Michael, 1957- |t Computational physics. |b [English language edition]. |d Berlin ; Boston : De Gruyter, [2018] |z 9783110515138 |w (DLC) 2018934247 |w (OCoLC)1103569613 |
| 830 | 0 | |a De Gruyter graduate. | |
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