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Grid Generation and Adaptive Algorithms

  • Marshall W. Bern
  • Joseph E. Flaherty
  • Mitchell Luskin

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 113)

Table of contents

About this book

Introduction

This IMA Volume in Mathematics and its Applications GRID GENERATION AND ADAPTIVE ALGORITHMS is based on the proceedings of a workshop with the same title. The work­ shop was an integral part of the 1996-97 IMA program on "MATHEMAT­ ICS IN HIGH-PERFORMANCE COMPUTING. " I would like to thank Marshall Bern (Xerox, Palo Alto Research Cen­ ter), Joseph E. Flaherty (Department of Computer Science, Rensselaer Polytechnic Institute), and Mitchell Luskin (School of Mathematics, Uni­ versity of Minnesota), for their excellent work as organizers of the meeting and for editing the proceedings. I also take this opportunity to thank the National Science Founda­ tion (NSF), Department of Energy (DOE), and the Army Research Office (ARO), whose financial support made the workshop possible. Willard Miller, Jr. , Professor and Director v PREFACE Scientific and engineering computation has become so complex that traditional numerical computation on uniform meshes is generally not pos­ sible or too expensive. Mesh generation must reflect both the domain geometry and the expected solution characteristics. Meshes should, fur­ thermore, be related to the solution through computable estimates of dis­ cretization errors. This, suggests an automatic and adaptive process where an initial mesh is enriched with the goal of computing a solution with prescribed accuracy specifications in an optimal manner. While automatic mesh generation procedures and adaptive strategies are becoming available, major computational challenges remain. Three-dimensional mesh genera­ tion is still far from automatic.

Keywords

Partition Volume algorithms complexity computation data structure data structures finite element method form knowledge layers load balancing mechanics object variable

Editors and affiliations

  • Marshall W. Bern
    • 1
  • Joseph E. Flaherty
    • 2
  • Mitchell Luskin
    • 3
  1. 1.Xerox Palo Alto Research CenterPalo AltoUSA
  2. 2.Scientific Computation Research CenterRensselaer Polytechnic InstituteTroyUSA
  3. 3.School of MathematicsUniversity of MinnesotaMinneapolisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-1556-1
  • Copyright Information Springer-Verlag New York, Inc. 1999
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7191-8
  • Online ISBN 978-1-4612-1556-1
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site