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|a 9783319026633
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|a 10.1007/978-3-319-02663-3
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|a Beirao da Veiga, Lourenco.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a The Mimetic Finite Difference Method for Elliptic Problems
|h [electronic resource] /
|c by Lourenco Beirao da Veiga, Konstantin Lipnikov, Gianmarco Manzini.
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|a 1st ed. 2014.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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|a XVI, 394 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a MS&A, Modeling, Simulation and Applications,
|x 2037-5263 ;
|v 11
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|a 1 Model elliptic problems -- 2 Foundations of mimetic finite difference method -- 3 Mimetic inner products and reconstruction operators -- 4 Mimetic discretization of bilinear forms -- 5 The diffusion problem in mixed form -- 6 The diffusion problem in primal form -- 7 Maxwells equations. 8. The Stokes problem. 9 Elasticity and plates -- 10 Other linear and nonlinear mimetic schemes -- 11 Analysis of parameters and maximum principles -- 12 Diffusion problem on generalized polyhedral meshes.
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|a This book describes the theoretical and computational aspects of the mimetic finite difference method for a wide class of multidimensional elliptic problems, which includes diffusion, advection-diffusion, Stokes, elasticity, magnetostatics and plate bending problems. The modern mimetic discretization technology developed in part by the Authors allows one to solve these equations on unstructured polygonal, polyhedral and generalized polyhedral meshes. The book provides a practical guide for those scientists and engineers that are interested in the computational properties of the mimetic finite difference method such as the accuracy, stability, robustness, and efficiency. Many examples are provided to help the reader to understand and implement this method. This monograph also provides the essential background material and describes basic mathematical tools required to develop further the mimetic discretization technology and to extend it to various applications.
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|a Mathematics-Data processing.
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|a Mathematical physics.
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|a Differential equations.
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|a Engineering mathematics.
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|a Engineering-Data processing.
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|a Computational Mathematics and Numerical Analysis.
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|a Mathematical Physics.
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|a Differential Equations.
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|a Mathematical and Computational Engineering Applications.
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|a Lipnikov, Konstantin.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Manzini, Gianmarco.
|e author.
|0 (orcid)0000-0003-3626-3112
|1 https://orcid.org/0000-0003-3626-3112
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319026640
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|i Printed edition:
|z 9783319026626
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|i Printed edition:
|z 9783319379005
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|a MS&A, Modeling, Simulation and Applications,
|x 2037-5263 ;
|v 11
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|u https://doi.uam.elogim.com/10.1007/978-3-319-02663-3
|z Texto Completo
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|a ZDB-2-SMA
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|a ZDB-2-SXMS
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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