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Multiscale Methods in Science and Engineering

  • Björn Engquist
  • Olof Runborg
  • Per Lötstedt

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 44)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Anna Dzougoutov, Kyoung-Sook Moon, Erik von Schwerin, Anders Szepessy, Raúl Tempone
    Pages 59-88
  3. Jens Eberhard, Gabriel Wittum
    Pages 111-132
  4. Benjamin Jourdain, Claude Le Bris, Tony Lelièvre
    Pages 149-168
  5. Mats G. Larson, Fredrik Bengzon, August Johansson
    Pages 169-180
  6. Giovanni Samaey, Dirk Roose, Ioannis G. Kevrekidis
    Pages 225-239
  7. Richard Sharp, Yen-Hsi Tsai, Björn Engquist
    Pages 241-261
  8. Nils Svanstedt, Niklas Wellander
    Pages 263-273
  9. Back Matter
    Pages 291-296

About these proceedings

Introduction

Multiscale problems naturally pose severe challenges for computational science and engineering. The smaller scales must be well resolved over the range of the larger scales. Challenging multiscale problems are very common and are found in e.g. materials science, fluid mechanics, electrical and mechanical engineering. Homogenization, subgrid modelling, heterogeneous multiscale methods, multigrid, multipole, and adaptive algorithms are examples of methods to tackle these problems. This volume is an overview of current mathematical and computational methods for problems with multiple scales with applications in chemistry, physics and engineering.

Keywords

Natur algorithm algorithms fluid mechanics mechanical engineering mechanics modeling physics science

Editors and affiliations

  • Björn Engquist
    • 1
  • Olof Runborg
    • 1
  • Per Lötstedt
    • 2
  1. 1.Department of Numerical Analysis and Computer ScienceRoyal Institute of TechnologyStockholmSweden
  2. 2.Department of Information TechnologyUppsala UniversityUppsalaSweden

Bibliographic information

  • DOI https://doi.org/10.1007/b137594
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-25335-8
  • Online ISBN 978-3-540-26444-6
  • Series Print ISSN 1439-7358
  • Buy this book on publisher's site