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Mathematical and Computational Techniques for Multilevel Adaptive Methods

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Multilevel adaptive methods play an increasingly important role in the solution of many scientific and engineering problems. Fast adaptive methods techniques are widely used by specialists to execute and analyze simulation and optimization problems. This monograph presents a unified approach to adaptive methods, addressing their mathematical theory, efficient algorithms, and flexible data structures. Ruede introduces a well-founded mathematical theory that leads to intelligent, adaptive algorithms, and suggests advanced software techniques. This new kind of multigrid theory supports the so-called ""BPX"" and ""multilevel Schwarz"" methods, and leads to the discovery of faster more robust algorithms. These techniques are deeply rooted in the theory of function spaces. This book examines this development together with its implications for relevant algorithms for adaptive PDE methods. The author shows how abstract data types and object-oriented programming can be used for improved implementation. Special Features: Theory of multilevel (including additive) methods based on concepts in approximation theory and the theory of function spaces. Fully adaptive multigrid, based on the ""virtual global grid"" refinement technique and the ""multilevel adaptive relaxation"" algorithm.
Chapter 1: Introduction. Purpose and motivation Notation Basics and model problems Chapter 2: Multilevel Splittings. Abstract stable splittings Finite element spaces Stable bases Induced splittings Multilevel iterations Multilevel error estimators Chapter 3: The Fully Adaptive Multigrid Method. Adaptive relaxation Algebraic structure Application of the theory of multilevel splittings Multilevel adaptive iteration Analysis of the V cycle Hierarchical transformations Virtual global grids Robustness Parallelization Numerical examples Perspectives Historical remark Chapter 4: Data Structures. Introduction Finite element meshes Special cases Adaptive techniques Hierarchical meshes Implementation using C++ References Index.
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