منابع مشابه
AGRIF: Adaptive grid refinement in Fortran
Adaptive grid refinement in Fortran (AGRIF) is a Fortran90 package for the integration of adaptive mesh refinement (AMR) features within existing finite difference codes. The package first provides model-independent Fortran90 procedures containing the different operations in an AMR process: time integration of grid hierarchy, clustering, interpolations, updates, etc. The package then creates th...
متن کاملA Grid-based Clustering Algorithm using Adaptive Mesh Refinement
Clustering analysis, an automatic process to find similar groups of objects from a database, has been studied for many years. With the increasing data size generated recently, clustering large databases poses a challenging task that must satisfy both the requirements of the computation efficiency and result quality. Among the existing clustering algorithms, grid-based algorithms generally have ...
متن کاملAutomatic Adaptive Grid Refinement for the Euler Equations
We present a method of adaptive grid refinement for the solution of the steady Euler equations for transonic flow. Our algorithm automatically decides where the coarse grid accuracy Is insufficient, and creates locally uniform refined grids in these regions. This typically occurs at the leading and trailing edges. The solution is then integrated to steady state using the same integrator (FLO52)...
متن کاملParallel Computing for Reacting Flows Using Adaptive Grid Refinement
The paper reports on the parallelisation of the computational code for modelling turbulent combustion in large industrial 3D glass melting furnaces. Domain decomposition is used to perform the parallelisation. Performance optimisation is examined, to both speed up the code as well as to improve convergence. Local grid refinement is discussed using several different refinement criteria. The nume...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers & Geosciences
سال: 2008
ISSN: 0098-3004
DOI: 10.1016/j.cageo.2007.01.009