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006			m |o d |
007			cr |||||||||||
008			181012s2018 gw |||| o |||| 0|eng
010			_a 2019742517
020			_a9783319946764
024	7		_a10.1007/978-3-319-94676-4 _2doi
035			_a(DE-He213)978-3-319-94676-4
040			_aDLC _beng _epn _erda _cDLC
050			_aQA 39.3 .A58 2018
072		7	_aMAT021000 _2bisacsh
072		7	_aPBKS _2bicssc
072		7	_aPBKS _2thema
082	0	4	_a518 _223
245	0	0	_aNumerical Methods for PDEs : _bState of the Art Techniques / _cedited by Daniele Antonio Di Pietro, Alexandre Ern, Luca Formaggia.
250			_a1st ed. 2018.
300			_a1 online resource (XV, 312 pages 66 illustrations, 39 illustrations in color.)
490	1		_aSEMA SIMAI Springer Series, _x2199-3041 ; _v15
505	0		_a1 Di Pietro D.A. et al, An introduction to the theory of M-decompositions -- 2 Gerritsma M. et al, Mimetic Spectral Element Method for Anisotropic Diffusion -- 3 Di Pietro D.A. and Tittarelli R., An introduction to Hybrid High-Order methods -- 4 Boffi D. et al, Distributed Lagrange multiplier for fluid-structure interactions -- 5 Barton M. et al, Generalization of the Pythagorean Eigenvalue Error Theorem and its Application to Isogeometric Analysis -- 6 Burman E. and Oksanen L., Weakly consistent regularisation methods for ill-posed problems -- 7 Phuong Huynh D.B. et al, Reduced basis approximation and a posteriori error estimation: applications to elasticity problems in several parametric settings -- 8 Veeser A., Adaptive Tree Approximation With Finite Element Functions - A First Look -- 9 Formaggia L. and Vergara C., Defective boundary conditions for PDEs with applications in haemodynamics.
520			_aThis volume gathers contributions from participants of the Introductory School and the IHP thematic quarter on Numerical Methods for PDE, held in 2016 in Cargese (Corsica) and Paris, providing an opportunity to disseminate the latest results and envisage fresh challenges in traditional and new application fields. Numerical analysis applied to the approximate solution of PDEs is a key discipline in applied mathematics, and over the last few years, several new paradigms have appeared, leading to entire new families of discretization methods and solution algorithms. This book is intended for researchers in the field.
650		0	_aComputer mathematics.
650		0	_aNumerical analysis.
650		0	_aPartial differential equations.
650	1	4	_aNumerical Analysis.
650	2	4	_aComputational Science and Engineering.
650	2	4	_aPartial Differential Equations.
700	1		_aDi Pietro, Daniele Antonio. _eeditor.
700	1		_aErn, Alexandre. _eeditor.
700	1		_aFormaggia, Luca. _eeditor.
776	0	8	_iPrint version: _tNumerical methods for PDEs : state-of the art numerical techniques _z9783319946757 _w(DLC) 2018955501
776	0	8	_iPrinted edition: _z9783030068967
776	0	8	_iPrinted edition: _z9783319946757
776	0	8	_iPrinted edition: _z9783319946771
830		0	_aSEMA SIMAI Springer Series, _v15
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2lcc _cBOOKS _hQA 39.3 .A58 2018
999			_c32161 _d32161