Projection Onto The k-Cosparse Set is NP-Hard
Résumé
We investigate the computational complexity of a problem arising in the context of sparse optimization, namely, the projection onto the set of k-cosparse vectors w.r.t. some given matrix Ω. We show that this projection problem is (strongly) NP-hard, even in the special cases where the matrix Ω contains only ternary or bipolar coefficients. Interestingly, this is in stark 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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