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Algorithmic Trends in Computational Fluid Dynamics
herausgegeben von M.Y. Hussaini, A. Kumar und M.D. SalasInhaltsverzeichnis
- Overviews.
- A Viewpoint on Discretization Schemes for Applied Aerodynamic Algorithms for Complex Configurations.
- Some Remarks about Computational Fluid Dynamics.
- Algorithmic Trends in CFD in the 1990’s for Aerospace Flow Field Calculations.
- Advances for the Simulation of Compressible Viscous Flows on Unstructured Meshes.
- Some Challenges in Massively Parallel Computation.
- Acceleration Techniques.
- Local Preconditioning of the Euler Equations and its Numerical Implications.
- Incremental Unknowns in Finite Differences.
- Supercomputer Implementations of Preconditioned Krylov Subspace Methods.
- Recent Advances in Lanczos-Based Iterative Methods for Nonsymmetric Linear Systems.
- Convergence Acceleration Algorithms.
- Spectral and Higher-Order Methods.
- Spectral Methods for Viscous, Incompressible Flows.
- Issues in the Application of High Order Schemes.
- Essentially Nonoscillatory Postprocessing Filtering Methods.
- Some Novel Aspects of Spectral Methods.
- Multi-Resolution and Subcell Resolution Schemes.
- Wavelet Methods in Computational Fluid Dynamics.
- Subcell Resolution Methods for Viscous Systems of Conservation Laws.
- Multi-Resolution Analysis for ENO Schemes.
- Adaptive-Mesh Algorithms for Computational Fluid Dynamics.
- Inherently Multidimensional Schemes.
- Beyond the Riemann Problem, Part I.
- Beyond the Riemann Problem, Part II.
- Three Dimensional Covolume Algorithms for Viscous Flows.
- Comments on Session — Inherently Multidimensional Schemes.