Martin S. Andersen, Ph.D.

Affiliations: 
2011 University of California, Los Angeles, Los Angeles, CA 
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"Martin Andersen"

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Lieven Vandenberghe grad student 2011 UCLA
 (Chordal Sparsity in Interior-Point Methods for Conic Optimization.)
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Publications

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Eltved A, Dahl J, Andersen MS. (2020) On the robustness and scalability of semidefinite relaxation for optimal power flow problems Optimization and Engineering. 21: 1-18
Ramos TJAPdC, Grønager BE, Andersen MS, et al. (2019) Direct three-dimensional tomographic reconstruction and phase retrieval of far-field coherent diffraction patterns Physical Review A. 99: 23801
Hu Y, Nagy JG, Zhang J, et al. (2019) Nonlinear optimization for mixed attenuation polyenergetic image reconstruction Inverse Problems. 35: 064004
Aggrawal HO, Andersen MS, Rose S, et al. (2018) A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields. Ieee Transactions On Computational Imaging. 4: 17-31
Pakazad SK, Hansson A, Andersen MS, et al. (2018) Distributed Semidefinite Programming With Application to Large-Scale System Analysis Ieee Transactions On Automatic Control. 63: 1045-1058
Kazantsev D, Jørgensen JS, Andersen MS, et al. (2018) Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography Inverse Problems. 34: 64001
Chen T, Andersen MS, Mu B, et al. (2018) Regularized LTI System Identification with Multiple Regularization Matrix Ifac-Papersonline. 51: 180-185
Hong S, Mu B, Yin F, et al. (2018) Multiple Kernel Based Regularized System Identification with SURE Hyper-parameter Estimator Ifac-Papersonline. 51: 13-18
Sciacchitano F, Dong Y, Andersen MS. (2017) Total Variation Based Parameter-Free Model for Impulse Noise Removal Numerical Mathematics-Theory Methods and Applications. 10: 186-204
Pakazad SK, Hansson A, Andersen MS, et al. (2017) Distributed primal–dual interior-point methods for solving tree-structured coupled convex problems using message-passing Optimization Methods & Software. 32: 401-435
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