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Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
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Annual ACM Symposium on Theory of Computing archive
Proceedings of the 41st annual ACM symposium on Theory of computing table of contents
Bethesda, MD, USA
SESSION: Optimization table of contents
Pages 313-322  
Year of Publication: 2009
ISBN:978-1-60558-506-2
Authors
Marek Karpinski  University of Bonn, Bonn, Germany
Warren Schudy  Brown University, Providence, RI, USA
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We design a linear time approximation scheme for the Gale-Berlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest Codeword Problem (NCP) and Unique Games Problem. Further applications include, among other things, finding a constrained form of matrix rigidity and maximum likelihood decoding of an error correcting code. As another application of our method we give the first linear time approximation schemes for correlation clustering with a fixed number of clusters and its hierarchical generalization. Our results depend on a new technique for dealing with small objective function values of optimization problems and could be of independent interest.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Marek Karpinski: colleagues
Warren Schudy: colleagues