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Numerical Methods for PDEs = State of the Art Techniques /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Numerical Methods for PDEs/ edited by Daniele Antonio Di Pietro, Alexandre Ern, Luca Formaggia.
其他題名:	State of the Art Techniques /
其他作者:	Di Pietro, Daniele Antonio.
面頁冊數:	XV, 312 p. 66 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Numerical analysis. -
電子資源:	https://doi.org/10.1007/978-3-319-94676-4
ISBN:	9783319946764

Numerical Methods for PDEs = State of the Art Techniques /
Numerical Methods for PDEsState of the Art Techniques /[electronic resource] :edited by Daniele Antonio Di Pietro, Alexandre Ern, Luca Formaggia. - 1st ed. 2018. - XV, 312 p. 66 illus., 39 illus. in color.online resource. - SEMA SIMAI Springer Series,152199-3041 ;. - SEMA SIMAI Springer Series,5.

1 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.

This 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.

ISBN: 9783319946764

Standard No.: 10.1007/978-3-319-94676-4doiSubjects--Topical Terms:

527939
Numerical analysis.

LC Class. No.: QA297-299.4

Dewey Class. No.: 518

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