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Python Multimodal eBook Version ß4.3 Compadre


A Survey of Computational Physics

introductory computational science

Rubin H Landau, Manuel J Paez, Cristian Bordeianu
with Video Production by Sally Haerer


© Princeton University Press, Princeton; R Landau, Oregon State Univ., Corvallis, 2012.
- Based on Paper (Java) Text A Survey of Computational Physics Princeton University Press.
- Part of the BMACC project supported by the National Science Foundation under Grant No. CCLI-0836971.

Table of Contents

Creative Commons License

All Multimedia in Computational Physics by R H Landau, M J Paez and C. C Bordeianu, A Survey of Computational Physics, Princeton Univ Press, 2008 is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
License also applies to Media from Computational Physics, 2nd Ed, 2007.
Permissions beyond the scope of this license may be available at http://press.princeton.edu/titles/8704.html and John Wiley Publishers.

SurveyCover.jpg]

aSurveyCP_4.1_ComP.pdf (Compadre Version)

contains the text with Web links to files that need to accompany the text (incl Flash lectures). Local links are faster, but would require download of individual diurectories.

What is this eTextBook? A pdf file that can be read using the free Abode Acrobat Reader or, for more functionality, with Acrobat Pro ($). The eBook's figures, equations, sections, chapters, index, table of contents, code listings, glossary, animations and executebale codes (both Applets and Python programs) are linked, much like in a Web document. There are also links to video-based lectures covering most topics in the text, as well as to the slides used in the lectures. Section 1.2 of the text discusses how to use the various electronic features. Some movies are encapsulated into the text and some equations are linked to their xml forms (which can be imported into Maple or Mathematica for manipulated).

About the Subject Matter This upper-division text surveys of 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) makes it is similar to the earlier Computational Physic text,  but with many new topics, and here with Python. The text overlaps the lower-division A First Course in Scientific Computing (Landau) to provide economical, computational science/physics materials at all levels of undergraduate curriculum. The text is designed for a one- or two-semester undergraduate or beginning graduate course.