Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications: 54 (Texts in Applied Mathematics) - Tapa dura

From the reviews:

"This book provides comprehensive coverage of the major aspects of the DG-FEM, from derivation, analysis and implementation of the method to simulation of application problems. It is a highly valuable volume in the literature on the DG-FEM. It is also suitable as a textbook for a graduate-level course for students in computational and applied mathematics, physics and engineering."

-Mathematical Reviews

"The book under review presents basic ideas, theoretical analysis, MATLAB implementation and applications of the DG-FEM. ... The representative references quoted are useful for any reader interested in applying the method in a particular area. ... This book provides comprehensive coverage of the major aspects of the DG-FEM ... . It is a highly valuable volume in the literature on the DG-FEM. It is also suitable as a textbook for a graduate-level course for students in computational and applied mathematics, physics, and engineering." (Weimin Han, Mathematical Reviews, Issue 2008 k)

"This book is intended to offer a comprehensive introduction to, and an efficient implementation of discontinuous Galerkin finite element methods ... . Each chapter of the book is largely self-contained and is complemented by adequate exercises. ... The style of writing is clear and concise ... . is an exceptionally complete and accessible reference for graduate students, researchers, and professionals in applied mathematics, physics, and engineering. It may be used in graduate-level courses, as a self-study resource, or as a research reference." (Marius Ghergu, Zentralblatt MATH, Vol. 1134 (12), 2008)

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.