Papers

• M. S. Andersen, A. Hansson, S. K. Pakazad, A. Rantzer, Distributed robust stability analysis of interconnected uncertain systems, submitted to IEEE Conference on Decision and Control, 2012.
• C. Lyzell, M. S. Andersen, M. Enqvist, A convex relaxation of the minimum average variance estimator using the nuclear norm, submitted to IEEE Conference on Decision and Control, 2012.
• T. Chen, L. Ljung, M. S. Andersen, A. Chiuso, F. Carli, G. Pillonetto, Sparse multiple kernels for impulse response estimation with majorization-minimization algorithms, submitted to IEEE Conference on Decision and Control, 2012.
• M. S. Andersen, J. Dahl, L. Vandenberghe, Logarithmic barriers for sparse matrix cones, forthcoming, Optimization Methods and Software, 2012.
• M. S. Andersen, J. Dahl, Z. Liu, L. Vandenberghe, Interior-point methods for large-scale cone programming, in S. Sra, S. Nowozin, S. J. Wright (editors) Optimization for Machine Learning, MIT Press, 2011. Related CVXOPT examples.
• M. S. Andersen, J. Dahl, L. Vandenberghe, Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization, Proc. IEEE CACSD 2010.
• M. S. Andersen, L. Vandenberghe, Support vector machine training using matrix completion techniques, 2010. Related software.
• M. S. Andersen, J. Dahl, L. Vandenberghe, Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones, Mathematical Programming Computation, (2010) 2:167-201. Related software.

Dissertation

• Chordal Sparsity in Interior-Point Methods for Conic Optimization, UCLA, May 2011.