000			03267nam a22005295i 4500
001			978-0-387-72067-8
003			DE-He213
005			20161121231207.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387720678 _9978-0-387-72067-8
024	7		_a10.1007/978-0-387-72067-8 _2doi
050		4	_aQA297-299.4
072		7	_aPBKS _2bicssc
072		7	_aMAT021000 _2bisacsh
072		7	_aMAT006000 _2bisacsh
082	0	4	_a518 _223
100	1		_aHesthaven, Jan S. _eauthor.
245	1	0	_aNodal Discontinuous Galerkin Methods _h[electronic resource] : _bAlgorithms, Analysis, and Applications / _cby Jan S. Hesthaven, Tim Warburton.
264		1	_aNew York, NY : _bSpringer New York, _c2008.
300			_aXIV, 502 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aTexts in Applied Mathematics, _x0939-2475 ; _v54
505	0		_aThe key ideas -- Making it work in one dimension -- Insight through theory -- Nonlinear problems -- Beyond one dimension -- Higher-order equations -- Spectral properties of discontinuous Galerkin operators -- Curvilinear elements and nonconforming discretizations -- Into the third dimension.
520			_aThis book discusses a family of computational methods, known as discontinuous Galerkin methods, for solving partial differential equations. While these methods have been known since the early 1970s, they have experienced an almost explosive growth interest during the last ten to fifteen years, leading both to substantial theoretical developments and the application of these methods to a broad range of problems. These methods are different in nature from standard methods such as finite element or finite difference methods, often presenting a challenge in the transition from theoretical developments to actual implementations and applications. This book is aimed at graduate level classes in applied and computational mathematics. The combination of an in depth discussion of the fundamental properties of the discontinuous Galerkin computational methods with the availability of extensive software allows students to gain first hand experience from the beginning without eliminating theoretical insight. Jan S. Hesthaven is a professor of Applied Mathematics at Brown University. Tim Warburton is an assistant professor of Applied and Computational Mathematics at Rice University.
650		0	_aMathematics.
650		0	_aPartial differential equations.
650		0	_aNumerical analysis.
650		0	_aPhysics.
650		0	_aComputational intelligence.
650	1	4	_aMathematics.
650	2	4	_aNumerical Analysis.
650	2	4	_aComputational Intelligence.
650	2	4	_aMathematical Methods in Physics.
650	2	4	_aPartial Differential Equations.
700	1		_aWarburton, Tim. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387720654
830		0	_aTexts in Applied Mathematics, _x0939-2475 ; _v54
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-72067-8
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c509926 _d509926