Nodal Discontinuous Galerkin Methods

Released on by Jan S. Hesthaven
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  • Nodal Discontinuous Galerkin Methods Book Detail

  • Author : Jan S. Hesthaven
  • Release Date : 2007-12-18
  • Publisher : Springer Science & Business Media
  • Genre : Mathematics
  • Pages : 507
  • ISBN 13 : 0387720650
  • File Size : 46,46 MB
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Nodal Discontinuous Galerkin Methods by Jan S. Hesthaven PDF Summary

Book Description: 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.

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Nodal Discontinuous Galerkin Methods

Nodal Discontinuous Galerkin Methods

File Size : 16,16 MB
Total View : 4565 Views
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This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for th

Nodal Discontinuous Galerkin Methods

Nodal Discontinuous Galerkin Methods

File Size : 67,67 MB
Total View : 7338 Views
DOWNLOAD

This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for th

Nodal Discontinuous Galerkin Methods

Nodal Discontinuous Galerkin Methods

File Size : 30,30 MB
Total View : 5563 Views
DOWNLOAD

This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for th

Discontinuous Galerkin Methods

Discontinuous Galerkin Methods

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Total View : 5590 Views
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A class of finite element methods, the Discontinuous Galerkin Methods (DGM), has been under rapid development recently and has found its use very quickly in suc