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Multiscale Problems in Science and Technology

Challenges to Mathematical Analysis and Perspectives

  • Conference proceedings
  • © 2002

Overview

  • A group of top specialists presents results on multiscale
  • Includes supplementary material: sn.pub/extras

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Table of contents (14 papers)

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About this book

The International conference on Multiscale problems in science and technol­ ogy; Challenges to mathematical analysis and applications brought together mathematicians working on multiscale techniques (homogenisation, singular perturbation) and specialists from applied sciences who use these techniques. Our idea was that mathematicians could contribute to solving problems in the emerging applied disciplines usually overlooked by them and that specialists from applied sciences could pose new challenges for multiscale problems. Numerous problems in natural sciences contain multiple scales: flows in complex heterogeneous media, many particles systems, composite media, etc. Mathematically, we are led to study of singular homogenisation limits and the procedure is called upscaling or homogenisation. The processes to be up­ scaled are usually described by differential equations. For simple cases, when the differential equation is linear and the heterogeneities are periodic some progress has been made. However, most natural phenomena are described by nonlinear differential equations in a random nonhomogeneous medium and, despite an intensive development in recent years, there are many open problems. The objective of the conference was to bring together leading special­ ists from Europe and the United States and to discuss new challenges in this quickly developing field. Topics of the conference were Nonlinear Partial Differential Equations and Applied Analysis, with direct applications to the modeling in Material Sciences, Petroleum Engineering and Hydrodynamics.

Editors and Affiliations

  • Department of Mathematics, University of Zagreb, Zagreb, Croatia

    Nenad Antonić

  • Dept. of Applied Analysis and Scientific Computing, CWI Amsterdam, Amsterdam, The Netherlands

    C. J. Duijn

  • IWR, University of Heidelberg, Heidelberg, Germany

    Willi Jäger

  • Analyse Numérique, Bât 101 U.F.R. Mathématiques, Université Lyon 1, Villeurbanne Cedex, France

    Andro Mikelić

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