Grid Generation and Adaptive Algorithms (eBook, PDF)

Redaktion: Bern, Marshall W.; Luskin, Mitchell; Flaherty, Joseph E.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 189
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461215561
• Artikelnr.: 44044455

Autorenporträt

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.

Inhaltsangabe

hp-finite element procedures on non-uniform geometric meshes: Adaptivity and constrained approximation.- Tetrahedral bisection and adaptive finite elements.- Resolution of boundary layers on triangular meshes.- A general concept of adaptivity in finite element methods with applications to problems in fluid and structural mechanics.- A solution based H1 norm triangular mesh quality indicator.- Experiments with repartitioning and load balancing adaptive meshes.- Distributed octree data structures and local refinement method for the parallel solution of three-dimensional conservation laws.- Adaptive finite element methods for elastostatic contact problems.- The full domain partition approach to parallel adaptive refinement.- Adaptive solution of phase change problems over unstructured tetrahedral meshes.