# Search results

Computational Optimization and Applications > 2018 > 69 > 2 > 351-381

IEEE Transactions on Fuzzy Systems > 2017 > 25 > 5 > 1231 - 1238

Lecture Notes in Economics and Mathematical Systems > Multiobjective Programming and Goal Programming > Multiobjective Programming and Goal-Programming > 13-24

IEEE Transactions on Signal Processing > 2011 > 59 > 4 > 1895 - 1901

*l*

_{1}-norm minimization problem for sparse signal reconstruction. There are two main advantages of our proposed approach. First, the number of the variables in the reformulated optimization problem is much smaller than that in the original problem when the dimension of measurement vector is much less than the size...

2010 Proceedings IEEE INFOCOM > 1 - 9

Przegląd Statystyczny > 2005 > 52 > 2 > 57-72

Journal of Global Optimization > 2003 > 27 > 4 > 473-484