Partial Differential Equations

Modeling and Numerical Simulation

  • Roland Glowinski
  • Pekka Neittaanmäki

Part of the Computational Methods in Applied Sciences book series (COMPUTMETHODS, volume 16)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Discontinuous Galerkin and Mixed Finite Element Methods

  3. Linear and Nonlinear Hyperbolic Problems

    1. Igor Sazonov, Oubay Hassan, Ken Morgan, Nigel P. Weatherill
      Pages 95-112
    2. Richard Sanders, Allen M. Tesdall
      Pages 113-128
  4. Domain Decomposition Methods

    1. Serguei Lapin, Alexander Lapin, Jacques Périaux, Pierre-Marie Jacquart
      Pages 131-145
    2. Guy Bencteux, Maxime Barrault, Eric Cancès, William W. Hager, Claude Le Bris
      Pages 147-164
  5. Free Surface, Moving Boundaries and Spectral Geometry Problems

    1. Andrea Bonito, Alexandre Caboussat, Marco Picasso, Jacques Rappaz
      Pages 187-208
    2. Jian Hao, Tsorng-Whay Pan, Doreen Rosenstrauch
      Pages 209-223
  6. Inverse Problems

    1. Jean-Marc Brun, Bijan Mohammadi
      Pages 245-256
  7. Finance (Option Pricing)

About this book


This book is dedicated to Olivier Pironneau.

For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from human activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schrödinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity.

Mathematical modeling methods based on partial differential equations form an important part of contemporary science and are widely used in engineering and scientific applications. In this book several experts in this field present their latest results and discuss trends in the numerical analysis of partial differential equations. The first part is devoted to discontinuous Galerkin and mixed finite element methods, both methodologies of fast growing popularity. They are applied to a variety of linear and nonlinear problems, including the Stokes problem from fluid mechanics and fully nonlinear elliptic equations of the Monge-Ampère type. Numerical methods for linear and nonlinear hyperbolic problems are discussed in the second part. The third part is concerned with domain decomposition methods, with applications to scattering problems for wave models and to electronic structure computations. The next part is devoted to the numerical simulation of problems in fluid mechanics that involve free surfaces and moving boundaries. The finite difference solution of a problem from spectral geometry has also been included in this part. Inverse problems are known to be efficient models used in geology, medicine, mechanics and many other natural sciences. New results in this field are presented in the fifth part. The final part of the book is addressed to another rapidly developing area in applied mathematics, namely, financial mathematics. The reader will find in this final part of the volume, recent results concerning the simulation of finance related processes modeled by parabolic variational inequalities.


Schrödinger equation differential equation finite element method fluid mechanics geology geometry mathematical modeling mechanics medicine modeling numerical analysis numerical methods partial differential equation quantum chemistry simulation

Editors and affiliations

  • Roland Glowinski
    • 1
  • Pekka Neittaanmäki
    • 2
  1. 1.Department of MathematicsUniversity of HoustonUSA
  2. 2.Department of Mathematical Information TechnologyUniversity of JyväskyläFinland

Bibliographic information