Overview
- Editors:
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Marshall W. Bern
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Xerox Palo Alto Research Center, Palo Alto, USA
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Joseph E. Flaherty
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Scientific Computation Research Center, Rensselaer Polytechnic Institute, Troy, USA
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Mitchell Luskin
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School of Mathematics, University of Minnesota, Minneapolis, USA
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Table of contents (10 chapters)
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- Mark Ainsworth, Bill Senior
Pages 1-27
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- Douglas N. Arnold, Arup Mukherjee
Pages 29-42
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- Roland Becker, Rolf Rannacher
Pages 51-75
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- Rupak Biswas, Leonid Oliker
Pages 89-111
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- J. E. Flaherty, R. M. Loy, M. S. Shephard, M. L. Simone, B. K. Szymanski, J. D. Teresco et al.
Pages 113-134
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- Peter Hansbo, Claes Johnson
Pages 135-149
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- R. H. Nochetto, A. Schmidt, C. Verdi
Pages 163-181
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Back Matter
Pages 182-189
About this book
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.
Editors and Affiliations
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Xerox Palo Alto Research Center, Palo Alto, USA
Marshall W. Bern
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Scientific Computation Research Center, Rensselaer Polytechnic Institute, Troy, USA
Joseph E. Flaherty
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School of Mathematics, University of Minnesota, Minneapolis, USA
Mitchell Luskin