Element-Free AMGe: General Algorithms for Computing Interpolation Weights in AMG
We propose anew general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a neighborhood about a fine degree of freedom (dof) to be interpolated. The extension mapping provides boundary values (based on the coarse dofs used...
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| Published in | SIAM journal on scientific computing Vol. 23; no. 2; pp. 629 - 650 |
|---|---|
| Main Authors | , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Philadelphia, PA
Society for Industrial and Applied Mathematics
2002
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1064-8275 1095-7197 |
| DOI | 10.1137/S1064827500372997 |
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| Abstract | We propose anew general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a neighborhood about a fine degree of freedom (dof) to be interpolated. The extension mapping provides boundary values (based on the coarse dofs used to perform the interpolation) at the boundary of the neighborhood. The interpolation value is then obtained by matrix dependent harmonic extension of the boundary values into the interior of the neighborhood. We describe the method, present examples of useful extension operators, provide a two-grid analysis of model problems, and, by way of numerical experiments, demonstrate the successful application of the method to discretized elliptic problems. |
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| AbstractList | We propose anew general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a neighborhood about a fine degree of freedom (dof) to be interpolated. The extension mapping provides boundary values (based on the coarse dofs used to perform the interpolation) at the boundary of the neighborhood. The interpolation value is then obtained by matrix dependent harmonic extension of the boundary values into the interior of the neighborhood. We describe the method, present examples of useful extension operators, provide a two-grid analysis of model problems, and, by way of numerical experiments, demonstrate the successful application of the method to discretized elliptic problems. We propose a new general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a neighborhood about a fine degree of freedom (dof) to be interpolated. The extension mapping provides boundary values (based on the coarse dofs used to perform the interpolation) at the boundary of the neighborhood. The interpolation value is then obtained by matrix dependent harmonic extension of the boundary values into the interior of the neighborhood. We describe the method, present examples of useful extension operators, provide a two-grid analysis of model problems, and, by way of numerical experiments, demonstrate the successful application of the method to discretized elliptic problems. |
| Author | Henson, Van Emden Vassilevski, Panayot S. |
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| Keywords | Harmonic Freedom degree Grid pattern Mathematical operator Mapping Boundary value Algorithm Partial differential equation Discretization method Weight Equation system Ellipticity Finite element method Interpolation Elliptic equation Numerical computation Multigrid Linear algebra Matrix calculus Algebraic multigrid algorithm Relaxation method Gauss Seidel method Algebraic geometry |
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| Snippet | We propose anew general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a... We propose a new general algorithm for constructing interpolation weights in algebraic multigrid (AMG). It exploits a proper extension mapping outside a... |
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| SubjectTerms | Algebra Algorithms Boundary conditions Exact sciences and technology Laboratories Mathematics Neighborhoods Numerical analysis Numerical analysis. Scientific computation Numerical linear algebra Partial differential equations, boundary value problems Sciences and techniques of general use Sparsity |
| Title | Element-Free AMGe: General Algorithms for Computing Interpolation Weights in AMG |
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