Grid Generation and Adaptive Algorithms (The IMA Volumes in Mathematics and its Applications)

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

ISBN 10: 1461271916 / ISBN 13: 9781461271918

Verlag: Springer 1999-06-18, 1999

Beschreibung

Bestandsnummer des Verkäufers 6666-IUK-9781461271918

Bibliografische Details

• Titel: Grid Generation and Adaptive Algorithms (The IMA Volumes in Mathematics and its Applications)
• Verlag: Springer 1999-06-18
• Erscheinungsjahr: 1999
• Sprache: Englisch
• ISBN-10: 1461271916
• ISBN-13: 9781461271918
• Einband: Paperback
• Zustand: New

Über diesen Titel

Inhaltsangabe

Grid generation is a common feature of many computational tasks which require the discretization and representation of space and surfaces. The papers in this volume discuss how the geometric complexity of the physical object or the non-uniform nature of the solution variable make it impossible to use a uniform grid. This volume will be of interest to computational scientists and mathematicians working in a broad variety of applications including fluid mechanics, solid mechanics, materials science, chemistry and physics.

Reseña del editor

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.