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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.

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