000			02817nam a22004098i 4500
999			_c40460 _d40460
001			34333
003			BD-DhAAL
005			20211110165442.0
008			190321t2019 flua b 001 0 eng c
010			_a 2018017769
020			_a9781138070585
020			_a1138070637
020			_a9781138070639
020			_a1138070580
040			_aOU/DLC _beng _erda _cOU _dDLC _dBD-DhAAL
042			_apcc
050	0	0	_aQ183.9 _b.S236 2018
082	0	0	_a502.85 _223
100	1		_aSchorghofer, Norbert, _eauthor. _930383
245	1	0	_aLessons in scientific computing : _bnumerical mathematics, computer technology, and scientific discovery / _cNorbert Schorghofer.
264		1	_aBoca Raton, FL : _bCRC Press, Taylor & Francis Group, _c2019
300			_axiv, 189 pages : _billustrations ; _c24 cm.
504			_aIncludes bibliographical references and index.
505	0		_aAnalytical & numerical solutions -- A few concepts from numerical analysis -- Roundoff & number representation -- Programming languages & tools -- Sample problems; building conclusions -- Approximation theory -- Other common computational methods -- Performance basics & computer architectures -- High-performance & parallel computing -- The operation count; numerical linear algebra -- Random numbers & stochastic methods -- Algorithms, data structures, and complexity -- Data -- Building programs for computation and data analysis -- A crash course on partial differential equations -- Reformulated problems.
520			_a"This new book is a modernized, exceptionally broad and intentionally compact introduction to scientific computing. It takes a broad and interdisciplinary approach; numerical methods, computer technology and their interconnections are treated with the goal of facilitating scientific research. Each chapter provides an insightful lesson, and viewpoints from several subject areas are often compounded within a single chapter. The material is written with an eye on usefulness, longevity, and breadth"--
526			_aCSE
650		0	_aScience _xMathematics _xData processing. _930384
650		0	_aNumerical analysis _xData processing. _930385
650		0	_aComputer science. _942501
942			_2ddc _cBK