The mimetic finite difference method for elliptic problems

著者

    • Veiga, Lourenço Beirão da
    • Lipnikov, Konstantin
    • Manzini, Gianmarco

書誌事項

The mimetic finite difference method for elliptic problems

Lourenço Beirão da Veiga, Konstantin Lipnikov, Gianmarco Manzini

(MS&A, v. 11)

Springer, c2014

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注記

Includes bibliographical reference (p. [371]-389) index

内容説明・目次

内容説明

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.

目次

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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詳細情報

  • NII書誌ID(NCID)
    BB1475760X
  • ISBN
    • 9783319026626
  • 出版国コード
    sz
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Cham
  • ページ数/冊数
    xvi, 392 p.
  • 大きさ
    25 cm
  • 親書誌ID
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