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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Bibliographic Details
Main Author: Bestehorn, Michael (Author)
Format: eBook
Language:English
Published: Berlin ; Boston : De Gruyter, 2018
Series:De Gruyter Textbook
Subjects:
ISBN:9783110515145
Online Access: Get full text
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100 1 |a Bestehorn, Michael,   |4 aut. 
245 1 0 |a Computational Physics :  |b With Worked Out Examples in FORTRAN and MATLAB /  |c Michael Bestehorn. 
260 |a Berlin ;  |a Boston :   |b De Gruyter,   |c 2018 
300 |a 1 online resource (330 p.) 
490 0 |a De Gruyter Textbook 
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 
516 |a text file PDF 
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  
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