000			03305cam a2200493 i 4500
001			on1076485471
003			OCoLC
005			20250612155510.0
006			m o d
007			cr mnu|||unuuu
008			181128t20192019enka ob 001 0 eng d
040			_aN$T _beng _erda _epn _cN$T _dN$T _dYDX _dUKMGB _dOCLCF _dCNCGM _dAU@ _dOPELS _dNHM _dS2H _dOCLCO _dOCLCQ _dOCLCO _dOCLCQ _dOCLCO _dOCLCL _dSFB _dOCLCQ _dSXB _dOCLCQ _dOCLCL
015			_aGBB8N4382 _2bnb
016	7		_a019154668 _2Uk
019			_a1076793874
020			_a9780128167991 _q(electronic bk.)
020			_a0128167998 _q(electronic bk.)
020			_z9780128167984 _q(print)
020			_z012816798X _q(print)
035			_a(OCoLC)1076485471 _z(OCoLC)1076793874
050		4	_aQA374
050		4	_aQA374 _b.L86 2019e
072		7	_aMAT _x007020 _2bisacsh
082	0	4	_a515.353 _223 _1https://id.oclc.org/worldcat/ddc/E47GRGKfdpVwfVCktYr6WThQ6p
100	1		_aLuo, Zhendong, _eauthor _uSchool of Mathematics and Physics, North China Electric Power University _934294
245	1	0	_aProper orthogonal decomposition methods for partial differential equations / _cZhendong Luo, Goong Chen.
264		1	_aLondon, United Kingdom : _bAcademic Press, an imprint of Elsevier, _c[2019]
264		4	_c�2019
300			_a1 online resource (xvi, 261 pages) : _billustrations (some color)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aMathematics in Science and Engineering
504			_aIncludes bibliographical references (pages 247-256) and index.
588	0		_aOnline resource; title from digital title page (ScienceDirect, viewed July 23, 2020).
520			_a"Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of truncation error in the computational process. Introduces the foundations of finite-differences, finite-elements and finite-volume-elements. Models of time-dependent PDEs are presented, with detailed numerical procedures, implementation and error analysis. Output numerical data are plotted in graphics and compared using standard traditional methods. These models contain parabolic, hyperbolic and nonlinear systems of PDEs, suitable for the user to learn and adapt methods to their own R & D problems."--Provided by publisher
650		0	_aDifferential equations, Partial.
650		0	_aOrthogonal decompositions. _934295
700	1		_aChen, Goong, _d1950- _eauthor. _1https://id.oclc.org/worldcat/entity/E39PCjKWR867rMG7CbJ9MXQVT3 _934296
758			_ihas work: _aProper orthogonal decomposition methods for partial differential equations (Text) _1https://id.oclc.org/worldcat/entity/E39PCFq7qkRRjFVp97Yyj6qBbm _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aLuo, Zhendong. _tProper orthogonal decomposition methods for partial differential equations. _dLondon, United Kingdom, Academic Press, an imprint of Elsevier, 2019 _z9780128167984 _w(OCoLC)1046605827
830		0	_aMathematics in science and engineering. _933939
856	4	0	_3ScienceDirect _uhttps://www.sciencedirect.com/science/book/9780128167984
999			_c216508 _d216508