Multilevel Adaptive Methods for Partial Differential Equations (Frontiers in Applied Mathematics, Series Number 6)

McCormick, Stephen F.

ISBN 10: 0898712475 / ISBN 13: 9780898712476

Edité par Society for Industrial and Applied Mathematics, 1987

A propos de cet article

Bright and clean, firm and square, just a few very minor rubs and bumps. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Now offered for sale at a special bargain price.

N° de réf. du vendeur 122546

Détails bibliographiques

• Titre: Multilevel Adaptive Methods for Partial Differential Equations (Frontiers in Applied Mathematics, Series Number 6)
• Éditeur: Society for Industrial and Applied Mathematics
• Date de parution: 1987
• Langue: anglais
• ISBN à 10 chiffres: 0898712475
• ISBN à 13 chiffres: 9780898712476
• Reliure: Paperback
• Édition: First Edition.
• État de l'article: Like New
• Poids: 7 onces
• Catalogues du vendeur:
  • Science, Mathematics & Technology

A propos de ce titre

Synopsis

A practical handbook for understanding and using fast adaptive composite grid (FAC) methods for discretization and solution of partial differential equations (PDEs). Contains fundamental concepts. These so-called FAC are characterized by their use of a composite grid, which is nominally the union of various uniform grids. FAC is capable of producing a composite grid with tailored resolution, and a corresponding solution with commensurate accuracy, at a cost proportional to the number of composite grid points. Moreover, special asynchronous versions of the fast adaptive composite grid methods (AFAC) studied here have seemingly optimal complexity in a parallel computing environment. Most of the methods treated in this book were discovered only within the last decade, and in many cases their development is still in its infancy. While this is not meant to be comprehensive, it does provide a theoretical and practical guide to multilevel adaptive methods and relevant discretization techniques.