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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bestehorn, Michael, 1957- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin : De Gruyter, [2018]
Colección:De Gruyter graduate.
Temas:
Acceso en línea:Texto completo

MARC

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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) 
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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. 
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650 0 |a Mathematical physics. 
650 0 |a Physics  |x Data processing. 
650 6 |a Physique mathématique. 
650 6 |a Physique  |x Informatique. 
650 7 |a SCIENCE  |x Energy.  |2 bisacsh 
650 7 |a SCIENCE  |x Mechanics  |x General.  |2 bisacsh 
650 7 |a SCIENCE  |x Physics  |x General.  |2 bisacsh 
650 7 |a Mathematical physics  |2 fast 
650 7 |a Physics  |x Data processing  |2 fast 
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