Ebook Computational Physics: Problem Solving with Python

Beschreibung Computational Physics: Problem Solving with Python

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming. This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education and large scientific projects. It is probably the easiest programming language to learn for beginners, yet is also used for mainstream scientific computing, and has packages for excellent graphics and even symbolic manipulations.The text is designed for an upper-level undergraduate or beginning graduate course and provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. As part of the teaching of using computers to solve scientific problems, the reader is encouraged to work through a sample problem stated at the beginning of each chapter or unit, which involves studying the text, writing, debugging and running programs, visualizing the results, and the expressing in words what has been done and what can be concluded. Then there are exercises and problems at the end of each chapter for the reader to work on their own (with model programs given for that purpose).The text could be used for a one-semester course on scientific computing. The relevant topics for that are covered in the first third of the book. The latter two-thirds of the text includes more physics and can be used for a two-semester course in computational physics, covering nonlinear ODEs, Chaotic Scattering, Fourier Analysis, Wavelet Analysis, Nonlinear Maps, Chaotic systems, Fractals and Parallel Computing. The e-book extends the paper version by including many codes, visualizations and applets, as well as links to video lectures.* A table at the beginning of each chapter indicates video lectures, slides, applets and animations.* Applets illustrate the results to be expected for projects in the book, and to help understand some abstract concepts (e.g. Chaotic Scattering)* The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executable codes (both Applets and Python programs) are linked, much like in a Web document. * Some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulation).* The e-book will link to video-based lecture modules, held by principal author Professor Rubin Landau, that cover most every topic in the book.

Computational Physics: Problem Solving with Python Ebooks, PDF, ePub

Computational Physics: Problem Solving with Python / Rubin ~ Computational Physics: Problem Solving with Python / Rubin H. Landau, Manuel J P?ez, Cristian C. Bordeianu / download / B–OK. Download books for free. Find books

Computational Physics with Python - Download link ~ Computational Physics: Problem Solving with Computers by Rubin H Landau, Manuel J Paez, Cristian Bordeianu - Wiley-VCH This text surveys many of the topics of modern computational physics from a computational science point of view. Its emphasis on learning by doing (assisted by many model programs), as with 2nd Edition, but with new materials .

Computational Physics / Guide books ~ Browse Books. Home Browse by Title Books Computational Physics: Problem Solving with Python. Computational Physics: Problem Solving with Python September 2015. September 2015. Read More. Authors: Rubin H. Landau, Manuel J. Páez, Cristian C. Bordeianu ; Publisher: Wiley-VCH; ISBN: 978-3-527-41315-7. Available at . Save to Binder Binder Export Citation Citation. Share on. Bibliometrics .

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Computational Physics: Problem Solving With Python Download ~ Computational Physics: Problem Solving With Python by Rubin H. Landau / 2015 / English / EPUB. Read Online 35.4 MB Download. The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency .

Computational Physics: Problem Solving with Computers ~ Computational Physics: Problem Solving with Computers by Rubin H Landau, Manuel J Paez, Cristian Bordeianu. Publisher: Wiley-VCH 2012 ISBN/ASIN: 3527406263 Number of pages: 526. Description: This upper-division text surveys many of the topics of modern computational physics from a computational science point of view.

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Computational Physics With Python - UNIOS ~ When I began teaching computational physics, the rst decision facing me was \which language do I use?" With the sheer number of good program- ming languages available, it was not an obvious choice. I wanted to teach the course with a general-purpose language, so that students could easily take advantage of the skills they gained in the course in elds outside of physics. The language had to be .

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Computational Physics: Problem Solving with Computers ~ Computational Physics: Problem Solving with Computers 2nd Edition by Rubin H. Landau (Author) › . Computational Physics: Problem Solving with Python $114.31 Only 3 left in stock (more on the way). This second edition increases the universality of the previous edition by providing all its codes in the Java language, whose compiler and development kit are available for free for essentially .

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Computational Physics: Problem Solving with Python - Rubin ~ This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific materials as well as with the Python programming language. Python has become very popular, particularly for physics education .

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