000 -LEADER |
fixed length control field |
nam a22 7a 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180402b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
978352784694 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
530.0113 |
Item number |
LAN |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Landau, Rubin H. |
245 ## - TITLE STATEMENT |
Title |
Computational physics: problem solving with python |
250 ## - EDITION STATEMENT |
Edition statement |
3rd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Wiley VCH, |
Date of publication, distribution, etc |
2015 |
Place of publication, distribution, etc |
Germany: |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxii, 622 p. |
Other physical details |
ill. |
Dimensions |
25 cm. |
365 ## - TRADE PRICE |
Price type code |
USD |
Price amount |
135.00/ Rs. 9234.00 |
520 ## - SUMMARY, ETC. |
Summary, etc |
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).. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical physics |
|
Topical term or geographic name as entry element |
Physics - Computer simulation |
|
Topical term or geographic name as entry element |
Data processing |
|
Topical term or geographic name as entry element |
Parallel computing |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Paaez, Manuel J. |
|
Personal name |
Bordeianu, Cristian C. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |