Spring 1997


IMA Workshop

Grid Generation and Adaptive Algorithms

Grid generation is a common feature of many computational tasks which require the discretization and representation of space and surfaces. The approximation of the equilibrium states and dynamics of continua require that the continua be represented by a grid. Usually the geometric complexity of the physical object or the non-uniform nature of the solution variable make an unstructured grid desirable. Since an efficient grid requires knowledge of the computed solution, effective grid techniques need to be adaptively computed with the solution. Parallel computers are only easily programmed with regular data structures, so the development of adaptive grid generation algorithms which can utilize parallel computers effectively has posed a great challenge which will be the focus of this period of concentration and workshop.