Solutions of polynomial systems derived from the steady cavity flow problem. - Martin Mevissen; Kosuke Yokoyama; Nobuki Takayama (ISSAC, 2009)

Sdp Relaxations for Quadratic Optimization Problems Derived from Polynomial Optimization Problems. - Martin Mevissen; Masakazu Kojima (Asia Pac. J. Oper. Res., 2010)

Exploiting sparsity in linear and nonlinear matrix inequalities via positive semidefinite matrix completion. - Sunyoung Kim; Masakazu Kojima; Martin Mevissen; Makoto Yamashita (Math. Program., 2011)

Data-driven Distributionally Robust Polynomial Optimization. - Martin Mevissen; Emanuele Ragnoli; Jia Yuan Yu (NIPS, 2013)

Robustness to Time Discretization Errors in Water Network Optimization. - Nicole Taheri; Fabian R. Wirth; Bradley J. Eck; Martin Mevissen; Robert N. Shorten (OR, 2014)

Optimal Power Flow as a Polynomial Optimization Problem. - Bissan Ghaddar; Jakub Marecek; Martin Mevissen (CoRR, 2014)

Power Flow as an Algebraic System. - Jakub Marecek; Timothy McCoy; Martin Mevissen (CoRR, 2014)

Unified framework and toolkit for commerce optimization under uncertainty. - Ban Kawas; Ali Koc; Marco Laumanns; Chungmok Lee; Radu Marinescu 002; Martin Mevissen; Nicole Taheri; Susara Van den Heever; Rudi Verago (IBM J. Res. Dev., 2014)

MINLP in transmission expansion planning. - Jakub Marecek; Martin Mevissen; Jonas Christoffer Villumsen (PSCC, 2016)

A hidden Markov model for route and destination prediction. - Yassine Lassoued; Julien Monteil; Yingqi Gu; Giovanni Russo 002; Robert Shorten; Martin Mevissen (ITSC, 2017)

Special issue on: Nonlinear and combinatorial methods for energy optimization. - Claudia D'Ambrosio; Antonio Frangioni; Andrea Lodi 001; Martin Mevissen (EURO J. Comput. Optim., 2017)

Polynomial optimization for water networks: Global solutions for the valve setting problem. - Bissan Ghaddar; Mathieu Claeys; Martin Mevissen; Bradley J. Eck (Eur. J. Oper. Res., 2017)

Transmission-Constrained Unit Commitment. - Claudio Gambella; Jakub Marecek; Martin Mevissen; Jose Maria Fernandez Ortega; Sara Pezic Djukic; Mustafa Pezic (CoRR, 2018)

Projections onto the Set of Feasible Inputs and the Set of Feasible Solutions. - Claudio Gambella; Jakub Marecek; Martin Mevissen (Allerton, 2019)

A Fine-Grained Variant of the Hierarchy of Lasserre. - Wann-Jiun Ma; Jakub Marecek; Martin Mevissen (Allerton, 2019)

Deep Learning to Scale up Time Series Traffic Prediction. - Julien Monteil; Anton Dekusar; Claudio Gambella; Yassine Lassoued; Martin Mevissen (CoRR, 2019)

On Model Selection for Scalable Time Series Forecasting in Transport Networks. - Julien Monteil; Anton Dekusar; Claudio Gambella; Yassine Lassoued; Martin Mevissen (IEEE Trans. Intell. Transp. Syst., 2022)

Quantum computing in civil engineering: Limitations. - Joern Ploennigs; Markus Berger; Martin Mevissen; Kay Smarsly (CoRR, 2024)