Numerical Analysis of Multiscale Problems

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The 91st London Mathematical Society Durham Symposium took place from July 5th to 15th 2010, with more than 100 international participants attending. The Symposium focused on Numerical Analysis of Multiscale Problems and this book contains 10 invited articles from some of the meeting's key speakers, covering a range of topics of contemporary interest in this area. Articles cover the analysis of forward and inverse PDE problems in heterogeneous media, high-frequency wave propagation, atomistic-continuum modeling and high-dimensional problems arising in modeling uncertainty. Novel upscaling and preconditioning techniques, as well as applications to turbulent multi-phase flow, and to problems of current interest in materials science are all addressed. As such this book presents the current state-of-the-art in the numerical analysis of multiscale problems and will be of interest to both practitioners and mathematicians working in those fields.


Multiscale Methods is one of the most active areas in computational science. This book is a multi-disciplinary textbook on these methods. Complements nicely the previous volume on Multiscale Methods, LNCSE 44.

Autorentext
Ivan Graham is Professor of Numerical analysis at the University of Bath. Thomas Hou is Charles Lee Powell Professor of Applied and Computational Mathematics at California Institute of Technology. Omar Lakkis is Senior lecturer in Mathematics at the University of Sussex. Robert Scheichl is Senior Lecturer in Mathematics at the University of Bath.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642220609
    • Editor Ivan G. Graham, Robert Scheichl, Omar Lakkis, Thomas Y. Hou
    • Sprache Englisch
    • Auflage 2012
    • Größe H241mm x B160mm x T26mm
    • Jahr 2012
    • EAN 9783642220609
    • Format Fester Einband
    • ISBN 3642220606
    • Veröffentlichung 06.01.2012
    • Titel Numerical Analysis of Multiscale Problems
    • Untertitel Lecture Notes in Computational Science and Engineering 83
    • Gewicht 740g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 384
    • Lesemotiv Verstehen
    • Genre Mathematik

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