Partial Differential Equations - Modelling and ... - ResearchGate
Partial Differential Equations - Modelling and ... - ResearchGate
Partial Differential Equations - Modelling and ... - ResearchGate
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VIII<br />
Preface<br />
computers has been at the origin of an explosive development of numerical<br />
mathematics, leading itself to applications of size <strong>and</strong> complexity unthinkable<br />
a not so long time ago.<br />
There has been simultaneity in the progress achieved on both the theory<br />
<strong>and</strong> the numerics of partial differential equations, each feeding the other one:<br />
indeed, methods for proving the existence of solutions have lead to numerical<br />
methods for the actual computation of these solutions; on the other h<strong>and</strong>,<br />
conjectures on mathematical properties of solutions have been verified first<br />
computationally providing thus a justification for further analytical investigations.<br />
Applications of partial differential equations are essentially everywhere<br />
since to the areas mentioned above we have to add bio <strong>and</strong> health sciences,<br />
finance, image processing. (It is worth mentioning that today the term partial<br />
differential equations has to be taken in a broader sense than let say fifty years<br />
ago in order to include partial differential inequalities, which are of fundamental<br />
importance in, for example, the modeling of non-smooth phenomena.)<br />
From the above comments, it is quite obvious that the “world of partial<br />
differential equations” is a very large <strong>and</strong> complex one, <strong>and</strong>, therefore, quite<br />
difficult to explore. Not surprisingly, the many aspects of partial differential<br />
equations (theory, modeling <strong>and</strong> computation) have motivated a huge number<br />
of publications (books, articles, conference proceedings, websites). Concerning<br />
books, most of them are necessarily specialized (unless elementary) with topics<br />
such as elliptic equations, parabolic equations, Navier–Stokes equations,<br />
Maxwell equations, to name some of the most popular ones. We think thus<br />
that there is a need for books on partial differential equations addressing at a<br />
reasonably advanced level a variety of topics. From a practical point of view,<br />
the diversity we mentioned above implies that such books have to be necessarily<br />
multi-authors. We think that the present volume is an answer to such a<br />
need since it contains the contributions of experts of international reputation<br />
on a quite diverse selection of topics all partial differential equation related,<br />
ranging from well-established ones in mechanics <strong>and</strong> physics to very recent<br />
ones in micro-electronics <strong>and</strong> finance. In all these contributions the emphasis<br />
has been on the modeling <strong>and</strong> computational aspects.<br />
This volume is structured as follows: In Part I, discontinuous Galerkin <strong>and</strong><br />
mixed finite element methods are applied to a variety of linear <strong>and</strong> nonlinear<br />
problems, including the Stokes problem from fluid mechanics <strong>and</strong> fully nonlinear<br />
elliptic equations of the Monge-Ampère type. Part II is dedicated to the<br />
numerical solution of linear <strong>and</strong> nonlinear hyperbolic problems. In Part III one<br />
discusses the solution by domain decomposition methods of scattering problems<br />
for wave models <strong>and</strong> of electronic structure related nonlinear variational<br />
problems. Part IV is devoted to various issues concerning the modeling <strong>and</strong><br />
simulation of fluid mechanics phenomena involving free surfaces <strong>and</strong> moving<br />
boundaries. The finite difference solution of a problem from spectral geometry<br />
has also been included in this part. Part V is dedicated to inverse problems.<br />
Finally, in Part VI one addresses the parabolic variational inequalities based<br />
modeling <strong>and</strong> simulation of finance related processes.