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Reports (Research Report) Year : 2007

Regularized Two Level Algorithms for Model Problems

Abstract

In previous work, we experimented a variant of the two-level ideal algorithm for parametric shape optimization that was proposed by Desideri, and two of three approaches were shown superior. In this report, we try to look them in a more classic way -- in terms of singular value decomposition (SVD) and regularizations, for model problems, i.e., we combine these regularization tools with these two-level ideal algorithms. Numerical results show that regularized two level algorithms are more robust.
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Dates and versions

inria-00166639 , version 1 (08-08-2007)
inria-00166639 , version 2 (05-12-2007)

Identifiers

  • HAL Id : inria-00166639 , version 2

Cite

Jichao Zhao, Jean-Antoine Desideri. Regularized Two Level Algorithms for Model Problems. [Research Report] RR-6382, INRIA. 2007, pp.29. ⟨inria-00166639v2⟩
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