Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners

Computer Science – Numerical Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Added ref to Chen & Toledo in Section 9 Added description of how to form RHS; added ref to Wang and Sarin

Scientific paper

We consider linear systems arising from the use of the finite element method for solving scalar linear elliptic problems. Our main result is that these linear systems, which are symmetric and positive semidefinite, are well approximated by symmetric diagonally dominant matrices. Our framework for defining matrix approximation is support theory. Significant graph theoretic work has already been developed in the support framework for preconditioners in the diagonally dominant case, and in particular it is known that such systems can be solved with iterative methods in nearly linear time. Thus, our approximation result implies that these graph theoretic techniques can also solve a class of finite element problems in nearly linear time. We show that the support number bounds, which control the number of iterations in the preconditioned iterative solver, depend on mesh quality measures but not on the problem size or shape of the domain.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-164139

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.