Martin Mevissen
Martin Mevissen
IBM Research
Verified email at ie.ibm.com
Title
Cited by
Cited by
Year
Optimal power flow as a polynomial optimization problem
B Ghaddar, J Marecek, M Mevissen
IEEE Transactions on Power Systems 31 (1), 539-546, 2015
1162015
Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion
S Kim, M Kojima, M Mevissen, M Yamashita
Mathematical programming 129 (1), 33-68, 2011
1152011
Substation maintenance strategy adaptation for life-cycle cost reduction using genetic algorithm
M Hinow, M Mevissen
IEEE Transactions on Power Delivery 26 (1), 197-204, 2010
792010
Valve placement in water networks: Mixed-integer non-linear optimization with quadratic pipe friction
BJ Eck, M Mevissen
Report No RC25307 (IRE1209-014), IBM Research, 2012
292012
Quadratic approximations for pipe friction
BJ Eck, M Mevissen
Journal of Hydroinformatics 17 (3), 462-472, 2015
262015
A hidden Markov model for route and destination prediction
Y Lassoued, J Monteil, Y Gu, G Russo, R Shorten, M Mevissen
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
242017
Mean squared error minimization for inverse moment problems
D Henrion, JB Lasserre, M Mevissen
Applied Mathematics & Optimization 70 (1), 83-110, 2014
192014
Solving partial differential equations via sparse SDP relaxations
M Mevissen, M Kojima, J Nie, N Takayama
Pacific Journal of Optimization 4 (2), 213-241, 2008
192008
Data-driven distributionally robust polynomial optimization
M Mevissen, E Ragnoli, JY Yu
Advances in Neural Information Processing Systems, 37-45, 2013
162013
Fast non-linear optimization for design problems on water networks
BJ Eck, M Mevissen
World Environmental and Water Resources Congress 2013: Showcasing the Future …, 2013
162013
Polynomial optimization for water networks: Global solutions for the valve setting problem
B Ghaddar, M Claeys, M Mevissen, BJ Eck
European Journal of Operational Research 261 (2), 450-459, 2017
132017
MINLP in transmission expansion planning
J Mareček, M Mevissen, JC Villumsen
2016 Power Systems Computation Conference (PSCC), 1-8, 2016
132016
SDP relaxations for quadratic optimization problems derived from polynomial optimization problems
M Mevissen, M Kojima
Asia-Pacific Journal of Operational Research 27 (01), 15-38, 2010
132010
Quantum computing for Finance: state of the art and future prospects
DJ Egger, C Gambella, J Marecek, S McFaddin, M Mevissen, R Raymond, ...
arXiv preprint arXiv:2006.14510, 2020
112020
Non-linear optimization with quadratic pipe friction
BJ Eck, M Mevissen
Rep. No. RC25307. Dublin, Ireland: IBM Research Division, 2012
112012
Moment and SDP relaxation techniques for smooth approximations of problems involving nonlinear differential equations
M Mevissen, JB Lasserre, D Henrion
IFAC Proceedings Volumes 44 (1), 10887-10892, 2011
112011
Power flow as an algebraic system
J Marecek, T McCoy, M Mevissen
arXiv preprint arXiv:1412.8054, 2014
102014
Unified framework and toolkit for commerce optimization under uncertainty
B Kawas, A Koc, M Laumanns, C Lee, R Marinescu, M Mevissen, ...
IBM Journal of Research and Development 58 (5/6), 12: 1-12: 13, 2014
62014
Solutions of polynomial systems derived from the steady cavity flow problem
M Mevissen, K Yokoyama, N Takayama
Proceedings of the 2009 international symposium on Symbolic and algebraic …, 2009
62009
Introduction to concepts and advances in polynomial optimization
M Mevissen
Institute for Operations Research, ETH, Zurich, 2007
62007
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Articles 1–20