Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (Texts in Applied Mathematics)

Nodal Discontinuous Galerkin Methods Algorithms Analysis and Applications Texts in Applied Mathematics This book offers an introduction to the key ideas basic analysis and efficient implementation of discontinuous Galerkin finite element methods DG FEM for the solution of partial differential equatio

  • Title: Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (Texts in Applied Mathematics)
  • Author: Jan S. Hesthaven
  • ISBN: 1441924639
  • Page: 113
  • Format: broch
  • This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods DG FEM for the solution of partial differential equations It covers all key theoretical results, including an overview of relevant results from approximation theory, convergence theory for numerical PDE s, and orthogonal polynomials Through embedded Matlab codes, coverage discusses and implements the algorithms for a number of classic systems of PDE s Maxwell s equations, Euler equations, incompressible Navier Stokes equations, and Poisson and Helmholtz equations.

    • ✓ Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (Texts in Applied Mathematics) || ↠ PDF Download by ☆ Jan S. Hesthaven
      113 Jan S. Hesthaven
    • thumbnail Title: ✓ Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (Texts in Applied Mathematics) || ↠ PDF Download by ☆ Jan S. Hesthaven
      Posted by:Jan S. Hesthaven
      Published :2018-04-11T04:22:37+00:00

    One thought on “Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (Texts in Applied Mathematics)

    1. Adi

      Nodal Discontinuous Galerkin Methods it is a very good book for people who want to understand and implement Galerkin methods on unstructured mesh and not only. It has a lot of examples including matlab code which is very usefull when you want to compare results.

    2. Dario Bojanjac

      This is not a book for the beginners. It will be easier for you if you have previous knowledge about similar methods. In the book you will find a lot of examples and useful codes which you can adapt to your own problems, but if you want to learn introductory theory behind method than you will have to search somewhere else.

    3. Patrick Rinker

      This is a great book. As a grad student doing my dissertation in the area of numerical analysis of PDEs, I have been living in this book for the last couple of years. The exposition is very clear and the authors go into many of the bloody details in getting a DG code up and running while also keeping up with the theory. There are a couple of typos, so be sure to check out the updates available on the authors' websites.Highly recommended to anyone getting into this subject matter.

    4. S. Dorsher

      This is a very dense introduction to this material, but it does seem to cover what is necessary. I had significant help from my research advisor and felt that I did thoroughly learn the material presented in the first four chapters.

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