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arXiv · 1303.5305

Projection onto the Cosparse Set is NP-Hard

Abstract

The computational complexity of a problem arising in the context of sparse optimization is considered, namely, the projection onto the set of $k$-cosparse vectors w.r.t. some given matrix $\Omeg$. It is shown that this projection problem is (strongly) \NP-hard, even in the special cases in which the matrix $\Omeg$ contains only ternary or bipolar coefficients. Interestingly, this is in contrast to the projection onto the set of $k$-sparse vectors, which is trivially solved by keeping only the $k$ largest coefficients.

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BibTeXRIS

Andreas M. Tillmann, Rémi Gribonval, Marc E. Pfetsch. 2013-03-21. Projection onto the Cosparse Set is NP-Hard. https://arxiv.org/abs/1303.5305

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