1986
DOI: 10.2307/2007986
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The Fast Adaptive Composite Grid (FAC) Method for Elliptic Equations

Abstract: Abstract. The fast adaptive composite grid (FAC) method is a systematic process for solving differential boundary value problems. FAC uses global and local uniform grids both to define the composite grid problem and to interact for its fast solution. It can with little added cost substantially improve accuracy of the coarse grid solution and is very suitable for vector and parallel computation. This paper develops both the theoretical and practical aspects of FAC as it applies to elliptic problems.

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Cited by 72 publications
(36 citation statements)
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“…To solve the discretized linear system on the composite mesh S, FinduVsuch thatafalse(u,vfalse)=g,v1emvV, we use the FAC methodology . This is based on the overlapping composite‐grid decomposition of S, where each “patch” T,k serves as a level in the multigrid hierarchy.…”
Section: Fac Methodsmentioning
confidence: 99%
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“…To solve the discretized linear system on the composite mesh S, FinduVsuch thatafalse(u,vfalse)=g,v1emvV, we use the FAC methodology . This is based on the overlapping composite‐grid decomposition of S, where each “patch” T,k serves as a level in the multigrid hierarchy.…”
Section: Fac Methodsmentioning
confidence: 99%
“…The FAC methodology was first proposed in the 1980s to extend optimal multigrid performance to meshes generated by structured adaptive mesh refinement algorithms. Many such algorithms generate meshes that are semistructured , which can be characterized by having distinct “levels” of refinement with regular structure within each level.…”
Section: Introductionmentioning
confidence: 99%
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“…Then as the finer levels are coarsened they are absorbed, if possible, into coarser levels. This method of relaxation on an adaptive hierarchy is in contrast to the Fast Adaptive Composite Grid Method [65], though we do not believe that the particular details of how the elliptic equations are solved have much bearing on the algorithm described here for dealing with coupled elliptic/hyperbolic equations.…”
Section: Multigrid On An Adaptive Hierarchymentioning
confidence: 99%
“…It is desirable that the computational effort of the error estimation process be only a fraction of the finite element solution, hence in practice only an approximation for p is calculated. We will be seeking for an approximation of by replacing the Hessian matrix u(4,4) resulting from (35) by its diagonal. The resulting energy norm of the estimated error for each element is obtained by where NDOFS are the total number of degrees of freedom in the element 'e'.…”
mentioning
confidence: 99%