Martin S. Andersen
Martin S. Andersen
Associate Professor, Technical University of Denmark
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
CVXOPT: Python software for convex optimization
M Andersen, J Dahl, L Vandenberghe
203*2013
Chordal graphs and semidefinite optimization
L Vandenberghe, MS Andersen
Foundations and Trends® in Optimization 1 (4), 241-433, 2015
1522015
System identification via sparse multiple kernel-based regularization using sequential convex optimization techniques
T Chen, MS Andersen, L Ljung, A Chiuso, G Pillonetto
IEEE, 2014
1152014
Interior-Point Methods for Large-Scale Cone Programming
M Andersen, J Dahl, Z Liu, L Vandenberghe
Optimization for Machine Learning, 55-83, 2011
1062011
Reduced-complexity semidefinite relaxations of optimal power flow problems
MS Andersen, A Hansson, L Vandenberghe
IEEE Transactions on Power Systems 29 (4), 1855-1863, 2013
752013
Robust Stability Analysis of Sparsely Interconnected Uncertain Systems
MS Andersen, SK Pakazad, A Hansson, A Rantzer
arXiv preprint arXiv:1311.2602, 2013
652013
Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones
MS Andersen, J Dahl, L Vandenberghe
Mathematical Programming Computation 2 (3), 167-201, 2010
632010
Decomposition in conic optimization with partially separable structure
Y Sun, MS Andersen, L Vandenberghe
SIAM Journal on Optimization 24 (2), 873-897, 2014
452014
Distributed primal–dual interior-point methods for solving tree-structured coupled convex problems using message-passing
S Khoshfetrat Pakazad, A Hansson, MS Andersen, I Nielsen
Optimization Methods and Software 32 (3), 401-435, 2017
432017
Generalized row-action methods for tomographic imaging
MS Andersen, PC Hansen
Numerical Algorithms 67 (1), 121-144, 2014
302014
Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography
D Kazantsev, JS Jřrgensen, MS Andersen, WRB Lionheart, PD Lee, ...
Inverse Problems 34 (6), 064001, 2018
272018
Improving the efficiency of deconvolution algorithms for sound source localization
O Lylloff, E Fernández-Grande, F Agerkvist, J Hald, ET Roig, ...
The Journal of the Acoustical Society of America 138 (1), 172-180, 2015
272015
Distributed semidefinite programming with application to large-scale system analysis
SK Pakazad, A Hansson, MS Andersen, A Rantzer
IEEE Transactions on Automatic Control, 2017
252017
Noise properties of CT images reconstructed by use of constrained total-variation, data-discrepancy minimization
S Rose, MS Andersen, EY Sidky, X Pan
Medical Physics 42 (5), 2690-2698, 2015
252015
Logarithmic barriers for sparse matrix cones
MS Andersen, J Dahl, L Vandenberghe
Optimization Methods and Software 28 (3), 396-423, 2013
222013
CVXOPT
M Andersen, J Dahl, L Vandenberghe
192012
On the robustness and scalability of semidefinite relaxation for optimal power flow problems
A Eltved, J Dahl, MS Andersen
Optimization and Engineering 21 (2), 375-392, 2020
162020
Inexact proximal Newton methods for self-concordant functions
J Li, MS Andersen, L Vandenberghe
Mathematical Methods of Operations Research 85 (1), 19-41, 2017
132017
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms
T Chen, L Ljung, M Andersen, A Chiuso, F Carli, G Pillonetto
2012 IEEE 51st Annual Conference on Decision and Control (CDC), 10-13 …, 2012
132012
Support vector machine training using matrix completion techniques
MS Andersen, L Vandenberghe
Technical report, University of California, Los Angeles, 2010
132010
The system can't perform the operation now. Try again later.
Articles 1–20