The First-Order Necessary Conditions for Sparsity Constrained Optimization
Author:
Funder
the National Natural Sciences Grant
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Link
http://link.springer.com/content/pdf/10.1007/s40305-015-0107-x.pdf
Reference27 articles.
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2. Donoho, D.L.: For most large underdetermined systems of linear equations the minimal 1-norm solution is also the sparsest solution. Commun. Pure Appl. Math. 59, 797–829 (2006)
3. Candés, E., Wakin, M.B.: An introduction to compressive sampling. IEEE Signal Proc. Mag. 25, 21–30 (2008)
4. Gorodnitsky, I.F., Rao, B.D.: Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm. IEEE Trans. Signal Process. 45, 600–616 (1997)
5. Mallat, S.: A Wavelet Tour of Signal Processing: The Sparse Way. Academic Press, New York (2008)
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