A Nonlinear SDP Approach for Matrix Rank Minimization Problem with Applications
We consider the problem of minimizing rank of a matrix under linear and nonlinear matrix inequality constraints. This problem arises in diverse applications such as estimation, control and signal processing and it is known to be computationally NP-hard even when constraints are linear .In this paper...
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| Format: | article |
| Language: | eng |
| Published: |
2007
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| Online Access: | http://bibdigital.epn.edu.ec/handle/15000/9286 |
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