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Publications about 'Low-rank approximation'
Journal articles
  1. R. Moarref, M. R. Jovanovic, J. A. Tropp, A. S. Sharma, and B. J. McKeon. A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization. Phys. Fluids, 26(5):051701 (7 pages), May 2014. Keyword(s): Flow modeling and control, Convex optimization, Low-rank approximation. [bibtex-entry]


Conference articles
  1. A. Zare, M. R. Jovanovic, and T. T. Georgiou. Alternating direction optimization algorithms for covariance completion problems. In Proceedings of the 2015 American Control Conference, Chicago, IL, 2015. Note: Submitted. Keyword(s): Alternating direction method of multipliers, Alternating minimization algorithm, Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  2. A. Zare, M. R. Jovanovic, and T. T. Georgiou. Completion of partially known turbulent flow statistics. In Proceedings of the 2014 American Control Conference, Portland, OR, pages 1680-1685, 2014. Note: (Invited paper; Finalist, Best Student Paper Award). Keyword(s): Alternating direction method of multipliers, Convex optimization, Flow modeling and control, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  3. A. Zare, M. R. Jovanovic, and T. T. Georgiou. Completion of partially known turbulent flow statistics via convex optimization. In Proceedings of the 2014 Summer Program, Center for Turbulence Research, Stanford University/NASA, 2014. Note: To appear. Keyword(s): Convex optimization, Flow modeling and control, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  4. Y. Chen, M. R. Jovanovic, and T. T. Georgiou. State covariances and the matrix completion problem. In Proceedings of the 52nd IEEE Conference on Decision and Control, Florence, Italy, pages 1702-1707, 2013. Keyword(s): Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]


  5. F. Lin, M. R. Jovanovic, and T. T. Georgiou. An ADMM algorithm for matrix completion of partially known state covariances. In Proceedings of the 52nd IEEE Conference on Decision and Control, Florence, Italy, pages 1684-1689, 2013. Keyword(s): Alternating direction method of multipliers, Convex optimization, Low-rank approximation, Matrix completion problem, Nuclear norm regularization, Structured covariances. [bibtex-entry]



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Last modified: Sat Oct 11 20:53:12 2014
Author: mihailo.


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