000			02656nam a22003738i 4500
001			CR9780511812583
003			UkCbUP
005			20200124160259.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			101021s2003||||enk o ||1 0|eng|d
020			_a9780511812583 (ebook)
020			_z9780521520805 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA76.58 _b.K37 2003
082	0	0	_a004/.35 _221
100	1		_aKarniadakis, George, _eauthor.
245	1	0	_aParallel scientific computing in C++ and MPI : _ba seamless approach to parallel algorithms and their implementation / _cGeorge Em Karniadakis and Robert M. Kirby II.
246	3		_aParallel Scientific Computing in C++ & MPI
264		1	_aCambridge : _bCambridge University Press, _c2003.
300			_a1 online resource (xi, 616 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aScientific computing and simulation science -- Basic concepts and tools -- Approximation -- Roots and integrals -- Explicit discretizations -- Implicit discretizations -- Relaxation : discretization and solvers -- Propagation : numerical diffusion and dispersion -- Fast linear solvers -- Fast Eigensolvers.
520			_aNumerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.
650		0	_aParallel processing (Electronic computers)
650		0	_aC++ (Computer program language)
650		0	_aData transmission systems.
700	1		_aKirby, Robert M., _d1975- _eauthor.
776	0	8	_iPrint version: _z9780521520805
856	4	0	_uhttps://doi.org/10.1017/CBO9780511812583
999			_c520235 _d520233