A posteriori parameter choice strategy for fast multiscale methods solving ill-posed integral equations

  • Authors:
  • Xingjun Luo;Fanchun Li;Suhua Yang

  • Affiliations:
  • School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People's Republic of China 341000;School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People's Republic of China 341000;School of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People's Republic of China 341000

  • Venue:
  • Advances in Computational Mathematics
  • Year:
  • 2012

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Abstract

We apply fast multiscale methods for solving ill-posed integral equations via the Tikhonov regularization. A modified a posteriori parameter choice strategy is presented, which leads to optimal convergence rates. Numerical experiments are given to illustrate the efficiency of the method.