Computational physics: problem solving with python (Record no. 28497)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2018-04-02 530.0113 LAN 031438 2018-04-02 Books

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