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Computational Problems for Physics
Rubin H. This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.
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We did a search for other books with a similar title, and found some results for you that may be helpful. Click on the cover image above to read some pages of this book! Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages Mathematica, Java, C, Fortran, and Maple. It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features:.
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New problems and codes, with some from CP texts. Physics courses too often include computation to illustrate physics, with little discussion of the underlying applied math and its commensurate level of precision and reliability. The authors have spent over two decades thinking up computational problems and demonstrations for their Computational Physics texts and for conference tutorials and institutional talks. This book extends those problems and demos with the aim of having computation supplement a variety of existing courses. The first two chapters review background materials used throughout the book, with other chapters organized by subject. Most problems are at an upper-division undergraduate level, with a separate chapter aimed at entry-level courses.