000			03680cam a2200385 i 4500
001			18184198
005			20160503115638.0
008			140611s2015 flua b 001 0 eng
010			_a 2014022779
020			_a9781466569676 (pb)
040			_aDLC _beng _cDLC _erda
042			_apcc
050	0	0	_aQC52 _b.B48 2015
082	0	0	_a005.133 BEU/Int _223
084			_aMAT003000 _aMAT021000 _aSCI055000 _2bisacsh
100	1		_aBeu, Titus A.
245	1	0	_aIntroduction to numerical programming :a practical guide for scientists and engineers using Python and C/C++ _b _cTitus A. Beu, Babeș-Bolyai University, Faculty of Physics, Cluj-Napoca, Romania.
260			_aBoca Raton: _bCRC Press; _c2015
300			_axix, 653 pages : _billustrations ; _c25 cm.
490	0		_aSeries in computational physics
504			_aIncludes bibliographical references and index.
520			_a"This book introduces numerical programming using Python and C/C++, emphasizing methods used in physics and engineering. Its helps readers develop the ability to navigate relevant algorithms, knowledge of coding design, and efficient scientific programming skills. It requires minimal background in mathematics, leading readers from elementary methods to complex algorithms useful in modern programming. It incorporates examples and real code throughout, as well as problem sets, to facilitate a hands-on learning experience. "--
520			_a"This book is devoted to the general field of numerical programming, with emphasis on methods specific to computational physics and engineering. While tremendous advances of computer performances have been achieved in recent years, numerical methods still remain virtually inexhaustible resources for extending the range of challenging real-life problems made tractable. Along these lines, the book sets as its primordial goal to contribute to fostering interest in numerical programming by making computations accessible and appealing to broader categories of scientists and engineers. I have written this book for advanced undergraduate and graduate students in natural sciences and engineering, with the aim of being suited as curriculum material for a one- or two-semester course in numerical programming based on Python or C/C++. The book may also be used for independent study or as a reference material beyond academic studies. It may be useful, for instance, as an introductory text for researchers preparing to engage in scientific computing, or engineers needing effective numerical tools for applicative calculations. I have placed emphasis on the rigorous, yet accessible presentation of the fundamental numerical methods, which are complemented with implementations and applications, highlighting specific numerical behavior and often featuring graphical output. Although the material requires basic knowledge of calculus, linear algebra, and differential equations, it does not assume previous acquaintance with numerical techniques, leading the reader all the way from elementary algorithms to elaborate methods of relevance for modern numerical programming"--
650		0	_aPhysics _xData processing.
650		0	_aEngineering _xData processing.
650		0	_aComputer programming.
650		0	_aPython (Computer program language)
650		0	_aC (Computer program language)
650		0	_aC++ (Computer program language)
650		7	_aMATHEMATICS / Applied. _2bisacsh
650		7	_aMATHEMATICS / Number Systems. _2bisacsh
650		7	_aSCIENCE / Physics. _2bisacsh
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
955			_brl07 2014-06-11 _irl07 2014-06-11 ONIX to Dewey _axn02 2014-11-03 1 copy rec'd., to CIP ver.
999			_c120151 _d120151