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Title: Two-Level Adaptive Algebraic Multigrid for a Sequence of Problems with Slowly Varying Random Coefficients [Adaptive Algebraic Multigrid for Sequence of Problems with Slowly Varying Random Coefficients]

Journal Article · · SIAM Journal on Scientific Computing
DOI:https://doi.org/10.1137/120895366· OSTI ID:1226208
 [1];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Our paper proposes an adaptive strategy for reusing a previously constructed coarse space by algebraic multigrid to construct a two-level solver for a problem with nearby characteristics. Furthermore, a main target application is the solution of the linear problems that appear throughout a sequence of Markov chain Monte Carlo simulations of subsurface flow with uncertain permeability field. We demonstrate the efficacy of the method with extensive set of numerical experiments.

Research Organization:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC52-07NA27344
OSTI ID:
1226208
Report Number(s):
LLNL-JRNL-589132
Journal Information:
SIAM Journal on Scientific Computing, Vol. 35, Issue 6; ISSN 1064-8275
Publisher:
SIAM
Country of Publication:
United States
Language:
English

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AMGE Based on Element Agglomeration journal January 2001
On some versions of the element agglomeration AMGe method journal September 2008
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