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Application to a New AMG Method

  • James LottesEmail author
Chapter
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Part of the Springer Theses book series (Springer Theses)

Abstract

This chapter presents a new AMG method for nonsymmetric problems involving heuristics inspired directly by the convergence theory of the previous chapter. While less rigorous than previous chapters, it proves by example that the abstract theory of previous chapters can be used to inform, quite directly, the development of practical methods. The presented heuristics include a novel coarsening strategy and interpolation targeting the “approximation properties” of the convergence theory that generalizes the “energy-minimizing” weights used in symmetric methods. Numerical results are presented, showing how well the developed method works, and also demonstrating how well the bounds of the theory work on a real example.

Keywords

Previous Chapter Column Norm GMRES Iteration Jacobi Iteration Convergence Bound 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Google Inc.Mountain ViewUSA

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