Computational Physics 2nd Edition by Jos Thijssen (PDF)

349

 

Ebook Info

  • Published: 2007
  • Number of pages: 1046 pages
  • Format: PDF
  • File Size: 44.78 MB
  • Authors: Jos Thijssen

Description

First published in 2007, this second edition describes the computational methods used in theoretical physics. New sections were added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from www.cambridge.org/9781107677135. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge of condensed matter theory and statistical physics. It will be of interest to graduate students and researchers in theoretical, computational and experimental physics.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐Ok, ok, my title seems a little aggressive, but trust me, if you are looking for a *computational physics* (C.P.) book, this is not a good choice. I have been lecturing an introductory computational physics course for two years, and, by far, the most adequate books I found (and use) were Giordano & Nakanishi and Landau & Páez ones. Dr. Thijssen’s book is highly concentrated on condensed matter physics, and it has *too few* graphics, figures, or illustrations. In my sincere opinion, is by far the worst book on C.P. I have bought, and I do not recommend it, at least for those who want to learn C.P. “from scratch”. Ok, ok, it can be considered a “high level” book (maybe adequate for graduate courses), but I think that it lacks the main points on “pure” C.P. The reason for the two stars is because I am a condensed matter physicist, and therefore the book will at least serve as an additional reference on this subject.

⭐this is by far the only real book on the topic of computational physics, with a broad coverage on various methods such as DFT, QMC, etc.

⭐This book assumes an above average level of computing physics but it is definitely worth buying if youre doing DFT and similar. It gives you good exercises and hints for writing effective programs. It is challenging but worth the time I would say. I had a high level computing physics course and this book was a great reference both for DFT and Monte Carlo which I primarily used it for.

⭐Very fast service from UK.

⭐Excellent

⭐I really like this book. But it’s not for everyone. If you already have a decent background in scientific computing and physics, and are looking to expand your knowledge in some of the areas covered in the book, then it’s a great buy.In my opinion, the (few) code examples aren’t particularly nice and the discussion of numerical methods is not very sophisticated. But what you do get is an “easy” introduction to a variety of interesting (advanced) topics. With “easy” I mean easier than trying to read specialized literature on your own, because most of the book is not very easy. It is not overly complicated either.To enjoy the book, the requirements on your physics background are a bit higher than on your scientific computing skills. (Say at least a bachelor in physics compared to a few programming courses.)

⭐You need to be a graduate physics student or advanced undergrad to appreciate this book. If you are, the computational methods (which are clearly presented) are very straightforward to understand and will improve your understanding of the physics as well!Some prerequisite reading includes: undergrad solid state, undergrad QM, grad stat mech, preferably including the renormalization group. It would be good to know some QFT for the last chapter as well.Typically the computational books on the market are written more like review articles, but this is purely a textbook and very pedagogically written. A pleasure to read.

⭐The only drawback of this book is the title. Too ordinary (and somewhat misguiding) for such a unique touch on the subject. This is a book on computational implementations of ab-initio calculation tools, not on numerical analysis or solving PDEs. I guess some of the low-rated comments reflects that the contents of this book is not well represented by the title ‘Computational physics’.This is as far as I know the only book that gives you the practical knowledge of how density functional theory or quantum Monte-Carlo works. If you feel devastated studying the theories behind quantum simulation program (which you are already using in practice), or need some guidance from the abstract knowledge of the theory to the practical implementation of them, this book is definitely one of the must-read.

⭐Met my expectations. Great book which explains everything in simple yet concise terms.

⭐Einfach perfektThis second edition describes the computational methods used in theoretical physics, and has been fully updated. New sections have been added to cover finite element methods and lattice Boltzmann simulation, density functional theory, quantum molecular dynamics, Monte Carlo simulation, and diagonalisation of one-dimensional quantum systems. It covers many different areas of physics research and different computational methodologies, including computational methods such as Monte Carlo and molecular dynamics, various electronic structure methodologies, methods for solving partial differential equations, and lattice gauge theory. Throughout the book the relations between the methods used in different fields of physics are emphasised. Several new programs are described and can be downloaded from […]. The book requires a background in elementary programming, numerical analysis, and field theory, as well as undergraduate knowledge on condensed matter theory and statistical physics. It will be of interest to graduate students and researchers in theoretical, computational and experimental physics.

Keywords

Free Download Computational Physics 2nd Edition in PDF format
Computational Physics 2nd Edition PDF Free Download
Download Computational Physics 2nd Edition 2007 PDF Free
Computational Physics 2nd Edition 2007 PDF Free Download
Download Computational Physics 2nd Edition PDF
Free Download Ebook Computational Physics 2nd Edition

Previous articleComputational Physics: Fortran Version 1st Edition by Steven E. Koonin (PDF)
Next articleSimulation and Modeling of Turbulent Flows (ICASE/LaRC Series in Computational Science and Engineering) 1st Edition by Thomas B. Gatski (PDF)