Martin S. Andersen

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Lieven VandenbergheUCLAVerified email at ucla.edu
Anders HanssonProfessor in Automatic Control, Linkoping UniversityVerified email at liu.se
Tianshi CHENProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
Sina Khoshfetrat PakazadStaff Data ScientistVerified email at waymo.com
Anders RantzerProfessor, Lund UniversityVerified email at control.lth.se
Lennart LjungProfessor of Automatic Control, Linköping University, SwedenVerified email at isy.liu.se
Alessandro ChiusoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Gianluigi PillonettoProfessor of Automatic Control, University of PadovaVerified email at dei.unipd.it
Emil SidkyUniversity of ChicagoVerified email at uchicago.edu
Sean RoseAssistant Professor, University of Texas Health Science Center at Houston McGovern Medical SchoolVerified email at uth.tmc.edu
Per Christian HansenProfessor of Scientific Computing, Technical University of DenmarkVerified email at dtu.dk
Jakob Sauer JørgensenSenior Researcher, Technical University of Denmark (DTU), DenmarkVerified email at dtu.dk
Zhang LiuFacebookVerified email at fb.com
Yiqiu DongTechnical University of DenmarkVerified email at dtu.dk
Efren Fernandez-GrandeAssociate Professor, Technical University of DenmarkVerified email at elektro.dtu.dk
Oliver LylloffResearcher at Wind Energy Dept., Technical University of DenmarkVerified email at dtu.dk
Yifan SunAssistant Prof at Stonybrook CS DeptVerified email at stonybrook.edu
Oscar BorriesTICRAVerified email at ticra.com
Peter D LeeRoyal Academy of Engineering Chair in Emerging Technologies, University College LondonVerified email at ucl.ac.uk
Daniil Kazantsevsenior software scientistVerified email at diamond.ac.uk

Martin S. Andersen

Technical University of Denmark

Verified email at dtu.dk - Homepage

Optimization Numerical Methods Scientific Computing


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CVXOPT: Python software for convex optimization M Andersen, J Dahl, L Vandenberghe	357*	2013
Chordal graphs and semidefinite optimization L Vandenberghe, MS Andersen Foundations and Trends® in Optimization 1 (4), 241-433, 2015	295	2015
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	190	2014
Interior-Point Methods for Large-Scale Cone Programming M Andersen, J Dahl, Z Liu, L Vandenberghe Optimization for Machine Learning, 55-83, 2011	168	2011
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	97	2013
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	85	2010
Robust Stability Analysis of Sparsely Interconnected Uncertain Systems MS Andersen, SK Pakazad, A Hansson, A Rantzer arXiv preprint arXiv:1311.2602, 2013	81	2013
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	69	2015
Decomposition in conic optimization with partially separable structure Y Sun, MS Andersen, L Vandenberghe SIAM Journal on Optimization 24 (2), 873-897, 2014	66	2014
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	64	2017
Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography D Kazantsev, JS Jørgensen, MS Andersen, WRB Lionheart, PD Lee, ... Inverse Problems 34 (6), 064001, 2018	58	2018
Generalized row-action methods for tomographic imaging MS Andersen, PC Hansen Numerical Algorithms 67 (1), 121-144, 2014	41	2014
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	40	2020
Distributed semidefinite programming with application to large-scale system analysis SK Pakazad, A Hansson, MS Andersen, A Rantzer IEEE Transactions on Automatic Control, 2017	39	2017
CVXOPT: Convex Optimization M Andersen, J Dahl, L Vandenberghe Astrophysics Source Code Library, ascl: 2008.017, 2020	33	2020
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	32	2015
Logarithmic barriers for sparse matrix cones MS Andersen, J Dahl, L Vandenberghe Optimization Methods and Software 28 (3), 396-423, 2013	32	2013
CVXOPT M Andersen, J Dahl, L Vandenberghe	28	2012
Inexact proximal Newton methods for self-concordant functions J Li, MS Andersen, L Vandenberghe Mathematical Methods of Operations Research 85, 19-41, 2017	27	2017
Direct three-dimensional tomographic reconstruction and phase retrieval of far-field coherent diffraction patterns T Ramos, BE Grønager, MS Andersen, JW Andreasen Physical Review A 99 (2), 023801, 2019	21	2019

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