Chapitre de livre
Beghin, P., Ceulemans, A.-E., & Glineur, F. (2026). A Discussion About Violin Reduction: Geometric Analysis of Contour Lines and Channel of Minima. In Furferi, R., Governi, L., Volpe, Y., Gherardini, F., Seymour, K. (eds) (ed.), Lecture Notes in Mechanical Engineering : The Future of Heritage Science and Technologies II (p. p. 432-446). Springer / Springer-Cham. https://doi.org/10.1007/978-3-031-98379-5_33
Article de journal
Vernimmen, P., & Glineur, F. (2026). Worst-case convergence analysis of relatively inexact gradient descent on smooth convex functions. Neurocomputing, 660, 131883. https://doi.org/10.1016/j.neucom.2025.131883 (Original work published 2026)
Papier de conférence
Rotaru, T., Panagiotis, P., & Glineur, F. (2025). Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. Published. The 28th International Conference on Artificial Intelligence and Statistics, Phuket, Thailand.
Van Dessel, G., & Glineur, F. (2025). Presolve techniques for quasi-convex chance constraints with finite-support low-dimensional uncertainty. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
Rotaru, T., Patrinos, P., & Glineur, F. (2025). Tight Convergence Rates in Gradient Mapping for the Difference-of Convex Algorithm. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
Vernimmen, P., & Glineur, F. (2025). Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization. Proceedings of the 5th International Conference on MCO 2025. Published. 5th International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, Metz, France.
Article de journal
Zamani, M., & Glineur, F. (2025). Exact convergence rate of the last iterate in subgradient methods. SIAM Journal on Optimization, 35(3), 2182-2201. https://doi.org/10.1137/24M1717762 (Original work published 2025)
Nabou, Y., Glineur, F., & Necoara, I. (2025). Proximal gradient methods with inexact oracle of degree q for composite optimization. Optimization Letters, 19(2), 285-306. https://doi.org/10.1007/s11590-024-02118-9 (Original work published 2025)
Papier de conférence
Bousselmi, N., Pustelnik, N., Hendrickx, J., & Glineur, F. (2024). Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. Eusipco 2024, p. 2647-2651. https://doi.org/10.23919/EUSIPCO63174.2024.10715388
Vernimmen, P., & Glineur, F. (2024). Convergence analysis of an inexact gradient method on smooth convex functions. ESANN 2024 proceedings. Published. ESANN 2024, European Symposium on Artificial Neural Networks, Computational Intellignece and Machine Learning, Bruges (Belgium) and online. https://doi.org/10.14428/esann/2024.es2024-171
Article de journal
Goujaud, B., Moucer, C., Glineur, F., Hendrickx, J., Taylor, A. B., & Dieuleveut, A. (2024). PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Mathematical Programming Computation, 16(3), 337-367. https://doi.org/10.1007/s12532-024-00259-7 (Original work published 2024)
Zamani, M., Glineur, F., & Hendrickx, J. (2024). On the Set of Possible Minimizers of a Sum of Convex Functions. IEEE Control Systems Letters, 8, 1871-1876. https://doi.org/10.1109/lcsys.2024.3414378 (Original work published 2024)
Van Dessel, G., & Glineur, F. (2024). Optimal inexactness schedules for tunable oracle-based methods. Optimization Methods and Software, 39(3), 664-698. https://doi.org/10.1080/10556788.2023.2296982 (Original work published 2024)
Bousselmi, N., Hendrickx, J., & Glineur, F. (2024). Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems. SIAM Journal on Optimization, 34(3), 3033-3063. https://doi.org/10.1137/23m1575391 (Original work published 2024)
Article de journal
Hautecoeur, C., De Lathauwer, L., Gillis, N., & Glineur, F. (2023). Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions. IEEE Transactions on Signal Processing, 71, 1712-1724. https://doi.org/10.1109/tsp.2023.3260560 (Original work published 2023)
Leplat, V., Nesterov, Y., Gillis, N., & Glineur, F. (2023). Conic optimization-based algorithms for nonnegative matrix factorization. Optimization Methods and Software, 38(4), 837-859. https://doi.org/10.1080/10556788.2023.2189714 (Original work published 2023)
Ceulemans, A.-E., Glineur, F., Fisette, P., Beghin, P., & Thys, I. (2023). Baroque Violas with Reduced Soundboxes: An Evaluation Method. The Galpin Society Journal : for the study of musical instruments, LXXVI, 109-126. (Original work published 2023)
Hamaide, V., Souris, K., Dasnoy-Sumell, D., Glineur, F., & Macq, B. (2023). Real‐time image‐guided treatment of mobile tumors in proton therapy by a library of treatment plans: a simulation study. Medical Physics, 50(1), 465-479. https://doi.org/10.1002/mp.16084 (Original work published 2023)
Beghin, P., Ceulemans, A.-E., Fisette, P., & Glineur, F. (2023). Validation of a photogrammetric approach for the objective study of early bowed instruments. Heritage Science. Published. https://doi.org/10.1186/s40494-023-00979-4 (Original work published 2023)
Papier de conférence
Chorobura, F., Glineur, F., & Necoara, I. (2023). Can random proximal coordinate descent be accelerated on nonseparable convex composite minimization problems? 2023 European Control Conference (ECC). Published. 2023 European Control Conference (ECC), Bucharest, Romania. https://doi.org/10.23919/ecc57647.2023.10178217
Kamri, A. Y., Hendrickx, J., & Glineur, F. (2023). On the Worst-Case Analysis of Cyclic Coordinate-Wise Algorithms on Smooth Convex Functions. Proceedings of the European Control Conference ECC 2023. Published. European Control Conference (ECC 2023), Bucharest, Romania. https://doi.org/10.23919/ECC57647.2023.10178198
Beghin, P., Ceulemans, A.-E., & Glineur, F. (2023). L’usage de la photogrammétrie pour l’étude morphologique de violons anciens. XIVe Congrès de la Société française d’histoire des sciences et des techniques, Bordeaux.
Tanji, S., Vecchia, A. D., Glineur, F., & Villa, S. (2023). Snacks: a fast large-scale kernel SVM solver. IEEE Xplore. Published. 2023 European Control Conference (ECC), Bucharest, Romania. https://doi.org/10.23919/ecc57647.2023.10178323
Papier de conférence
Bousselmi, N., Hendrickx, J., & Glineur, F. (2022). Performance Estimation of First-Order Methods on Quadratic Functions. In ed.: Baumann, Michael Heinrich ; Grüne, Lars ; Jacob, Birgit ; Worthmann, Karl (ed.), Extended Abstracts presented at the 25th International Symposium on Mathematical Theory of Networks and Systems MTNS 2022 : held 12-16 September 2022 in Bayreuth, Germany (pp. 771-774). https://doi.org/10.15495/EPub_UBT_00006809
Article de journal
Dong, S., Gao, B., Guan, Y., & Glineur, F. (2022). New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition. SIAM Journal on Matrix Analysis and Applications, 43(2), 840-866. https://doi.org/10.1137/21M1394734 (Original work published 2022)
Papier de conférence
Hamaide, V., & Glineur, F. (2021). Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy. ESANN 2021 proceedings. Published. ESANN 2021, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Online event. https://doi.org/10.14428/esann/2021.ES2021-79
Kamri, A. Y., Glineur, F., & Hendrickx, J. (2021). On the minimal and maximal smooth convex interpolating functions. Book of Abstracts — Benelux Workshop on Systems and Control, p. 76.
Hautecoeur, C., Glineur, F., & De Lathauwer, L. (2021). Hierarchical alternating nonlinear least squares for nonnegative matrix factorization using rational functions. 2021 29th European Signal Processing Conference (EUSIPCO). Published. 2021 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland. https://doi.org/10.23919/eusipco54536.2021.9615922
Article de journal
Hamaide, V., & Glineur, F. (2021). Unsupervised Minimum Redundancy Maximum Relevance Feature Selection for Predictive Maintenance : Application to a Rotating Machine. International Journal of Prognostics and Health Management, 12(2), 1-14. https://doi.org/10.36001/ijphm.2021.v12i2.2955 (Original work published 2021)
Dewez, J., Gillis, N., & Glineur, F. (2021). A geometric lower bound on the extension complexity of polytopes based on the f-vector. Discrete Applied Mathematics, 303, 22-38. https://doi.org/10.1016/j.dam.2020.09.028 (Original work published 2021)
Article de journal
De Klerk, E., Glineur, F., & Taylor, A. B. (2020). Worst-Case Convergence Analysis of Inexact Gradient and Newton Methods Through Semidefinite Programming Performance Estimation. SIAM Journal on Optimization, 30(3), 2053-2082. https://doi.org/10.1137/19m1281368 (Original work published 2020)
Hautecoeur, C., & Glineur, F. (2020). Nonnegative Matrix Factorization over Continuous Signals using Parametrizable Functions. Neurocomputing, 416, 256-265. https://doi.org/10.1016/j.neucom.2019.11.109 (Original work published 2020)
Papier de conférence
Hautecoeur, C., & Glineur, F. (2020). Image completion via nonnegative matrix factorization using HALS and B-splines. ESANN2020, 28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning. Published. ESANN 2020,28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, Bruges, Belgium.
Papier de conférence
Hautecoeur, C., & Glineur, F. (2019). Accelerating Nonnegative Matrix Factorization Over Polynomial Signals With Faster Projections. 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP), p. 1-6. https://doi.org/10.1109/mlsp.2019.8918844
Van Hoorebeeck, L., Cavillot, J., Bui Van Ha, Glineur, F., Craeye, C., & et al. (2019). Near-field calibration of SKA-Low stations using unmanned aerial vehicles. Proceedings of the 13th European Conference on Antennas and Propagation (EuCAP 2019), p. 5 pages.
Hamaide, V., & Glineur, F. (2019). Predictive maintenance of a rotating condenser inside a synchrocyclotron. Published. the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium.
Article de journal
Necoara, I., Patrascu, A., & Glineur, F. (2019). Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming. Optimization Methods and Software, 34(2), 305-335. https://doi.org/10.1080/10556788.2017.1380642 (Original work published 2019)
Martin, B., Feron, B., De Jaeger, E., Glineur, F., & Monti, A. (2019). Peak shaving: a planning alternative to reduce investment costs in distribution systems? Energy Systems, 10, 871-887. https://doi.org/10.1007/s12667-018-0299-3 (Original work published 2019)
Necoara, I., Nesterov, Y., & Glineur, F. (2019). Linear convergence of first order methods for non-strongly convex optimization. Mathematical Programming, 175, 69-107. https://doi.org/10.1007/s10107-018-1232-1 (Original work published 2019)
Article de journal
Taylor, A. B., Hendrickx, J., & Glineur, F. (2018). Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization. Journal of Optimization Theory and Applications, 178, 455-476. https://doi.org/10.1007/s10957-018-1298-1 (Original work published 2018)
Davis-Stober, C. P., Doignon, J.-P., Fiorini, S., Glineur, F., & Regenwetter, M. (2018). Extended formulations for order polytopes through network flows. Journal of Mathematical Psychology, 87, 1-10. https://doi.org/10.1016/j.jmp.2018.08.003 (Original work published 2018)
Vandaele, A., Glineur, F., & Gillis, N. (2018). Algorithms for positive semidefinite factorization. Computational Optimization and Applications : an international journal, 71(1), 193-219. https://doi.org/10.1007/s10589-018-9998-x (Original work published 2018)
Bui Van Ha, u., Hamaide, V., Craeye, C., Glineur, F., & de Lera Acedo, E. (2018). Direct Deterministic Nulling Techniques for Large Random Arrays Including Mutual Coupling. IEEE Transactions on Antennas and Propagation, 66(11), 5869-5878. https://doi.org/10.1109/tap.2018.2869068 (Original work published 2018)
Papier de conférence
Martin, B., Glineur, F., De Rua, P., & De Jaeger, E. (2018). Loss reduction in a windfarm participating in primary voltage control using an extension of the Convex DistFlow OPF. Proceedings of the 20th Power Systems Computation Conference. Published. 20th Power Systems Computation Conference (PSCC), Dublin. https://doi.org/10.23919/PSCC.2018.8442758
Papier de conférence
Martin, B., De Jaeger, E., & Glineur, F. (2017). A comparison of convex formulations for the joint planning of microgrids. Published. 24th International Conference & Exhibition on Electricity Distribution (CIRED), Glasgow. https://doi.org/10.1049/oap-cired.2017.0841
Taylor, A., Hendrickx, J., & Glineur, F. (2017). Performance Estimation Toolbox (PESTO): automated worst-case analysis of first-order optimization methods. Proceedings of the 56th IEEE Conference on Decision and Control (CDC 2017), p. 1278-1283. https://doi.org/10.1109/CDC.2017.8263832
Article de journal
Taylor, A., Hendrickx, J., & Glineur, F. (2017). Exact Worst-case Performance of First-order Methods for Composite Convex Optimization. SIAM Journal on Optimization, 27(3), 1283-1313. https://doi.org/10.1137/16M108104X (Original work published 2017)
Taylor, A., Hendrickx, J., & Glineur, F. (2017). Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods. Mathematical Programming, 161(1), 307-345. https://doi.org/10.1007/s10107-016-1009-3 (Original work published 2017)
Gillis, N., Glineur, F., & Vandaele, A. (2017). On the Linear Extension Complexity of Regular n-gons. Linear Algebra and Its Applications, 521 (2017), 217-239. https://doi.org/10.1016/j.laa.2016.12.023 (Original work published 2017)
Necoara, I., Nesterov, Y., & Glineur, F. (2017). Random block coordinate descent methods for linearly constrained optimization over networks. Journal of Optimization Theory and Applications, 173(1), 227-254. https://doi.org/10.1007/s10957-016-1058-z (Original work published 2017)
Papier de conférence
Latiers, A., Glineur, F., De Jaeger, E., & Martin, B. (2016). On Decentralized Control of Small Loads and Energy Rebound within Primary Frequency Control. Proceedings of the 19th Power Systems Computation Conference. Published. PSCC 2016, Genoa,Italy, 20-24 June 2016. https://doi.org/10.1109/PSCC.2016.7540884
Article de journal
Vandaele, A., Gillis, N., Glineur, F., & Tuyttens, D. (2016). Heuristics for exact nonnegative matrix factorization. Journal of Global Optimization, 65(2), 369-400. https://doi.org/10.1007/s10898-015-0350-z (Original work published 2016)
de Klerk, E., Glineur, F., & Taylor, A. (2016). On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions. Optimization Letters, 11(7), 1185-1199. https://doi.org/10.1007/s11590-016-1087-4 (Original work published 2017)
Wang, X., Glineur, F., Lu, L., & Van Dooren, P. (2016). Extended Lanczos Bidiagonalization Algorithm for Low Rank Approximation and its Applications. Journal of Computational and Applied Mathematics, 301, 213-229. https://doi.org/10.1016/j.cam.2015.12.039 (Original work published 2016)
Chapitre de livre
Martin, B., De Jaeger, E., Glineur, F., & Latiers, A. (2016). A dynamic programming approach to multi-period planning of isolated microgrids. In V. Bertsch, W. Fichtner, V. Heuveline, T. Leibfried (ed.), Advances in Energy System Optimization (Proceedings of the first International Symposium on Energy System Optimization) (p. p. 123-137). Springer. https://doi.org/10.1007/978-3-319-51795-7_8
Papier de conférence
Martin, B., De Jaeger, E., Glineur, F., & Latiers, A. (2015). Challenges in Microgrids: A dynamic programming approach to multi-period planning of isolated microgrids. International Symposium on Energy System Optimization ISESO 2015, Heidelberg, Germany.
Article de journal
Devolder, O., Glineur, F., & Nesterov, Y. (2014). First-Order Methods of Smooth Convex Optimization with Inexact Oracle. Mathematical Programming, 146(1-2), 37-75. https://doi.org/10.1007/s10107-013-0677-5 (Original work published 2014)
Pompili, F., Gillis, N., Absil, P.-A., & Glineur, F. (2014). Two algorithms for orthogonal nonnegative matrix factorization with application to clustering. Neurocomputing, 141, 15-25. https://doi.org/10.1016/j.neucom.2014.02.018 (Original work published 2014)
Tsiaflakis, P., Glineur, F., & Moonen, M. (2014). Real-time dynamic spectrum management for multi-user multi-carrier communication systems. IEEE Transactions on Communications, 62(3), 1124-1137. https://doi.org/10.1109/TCOMM.2014.012614.130580 (Original work published 2014)
Lefèvre, A., Glineur, F., & Absil, P.-A. (2014). A convex formulation for informed source separation in the single channel setting. Neurocomputing, 141, 26-36. https://doi.org/10.1016/j.neucom.2013.12.053 (Original work published 2014)
Clavier, T., Razavi-Ghods, N., Glineur, F., Gonzalez-Ovejero, D., de Lera Acedo, E., Craeye, C., & Alexander, P. (2014). A Global-Local Synthesis Approach for Large Non-regular Arrays. IEEE Transactions on Antennas and Propagation, 62(4), 1596-1606. https://doi.org/10.1109/TAP.2013.2284816 (Original work published 2014)
Tsiaflakis, P., Glineur, F., & Moonen, M. (2014). Iterative Convex Approximation Based Real-Time Dynamic Spectrum Management in Multi-User Multi-Carrier Communication Systems. IEEE Signal Processing Letters, 21(5), 535-539. https://doi.org/10.1109/LSP.2014.2308978 (Original work published 2014)
Gillis, N., & Glineur, F. (2014). A continuous characterization of the maximum-edge biclique problem. Journal of Global Optimization, 58(3), 439-464. https://doi.org/10.1007/s10898-013-0053-2 (Original work published 2014)
Papier de conférence
Clavier, T., Gonzalez Ovejero, D., De Lera Acedo, E., Craeye, C., Ghods, N. R., & Glineur, F. (2014). Synthesis of non-regular arrays using an FFT-based calculation of the cost function gradient. Proceedings of the 8th European Conference on Antennas and Propagation, p. 3326-3330. https://doi.org/10.1109/EuCAP.2014.6902540
Latiers, A., Glineur, F., & De Jaeger, E. (2014). Toward semi-autonomous decentralized primary control from demand response. CIGRE Belgium Conference, Brussels, Belgium.
Latiers, A., Glineur, F., & De Jaeger, E. (2014). Energy Limits in Primary Frequency Control with Short-Term Frequency-Band Allocation. ISGT 2014, Istanbul.
Papier de conférence
Lefèvre, A., Glineur, F., & Absil, P.-A. (2013). A nuclear-norm based convex formulation for informed source separation. Proceedings of the 21st European Symposium on Artificial Neural Networks (ESANN 2013), 101-106.
Pompili, F., Gillis, N., Absil, P.-A., & Glineur, F. (2013). ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering. Proceedings of the 21st European Symposium on Artificial Neural Networks (ESANN 2013), p. 297-302.
Lefèvre, A., & Glineur, F. (2013). First-order methods for low-rank matrix factorization applied to informed source separation. International workshop on regularization, optimization, kernel methods and support vector machines (ROKS 2013), Leuven, Belgium.
Chapitre de livre
Glineur, F. (2013). Les méthodes de point intérieur. In J. Teghem (ed.), Recherche opérationnelle - Tome 2 : Gestion de production - Modèles aléatoires - Aide multicritère (p. p. 509-538). Ellipses.
Article de journal
Wang, T., Glineur, F., Louveaux, J., & Vandendorpe, L. (2013). Weighted Sum Rate Maximization for Downlink OFDMA with Subcarrier-pair based Opportunistic DF Relaying. IEEE Transactions on Signal Processing, 61(10), 2512-2524. https://doi.org/10.1109/TSP.2013.2245326 (Original work published 2013)
Zein, S., Colson, B., & Glineur, F. (2013). An Efficient Sampling Method for Regression-Based Polynomial Chaos Expansion. Communications in Computational Physics, 13(4), 1173-1188. https://doi.org/10.4208/cicp.020911.200412a (Original work published 2013)
Papier de conférence
Tsiaflakis, P., & Glineur, F. (2012). A novel class of iterative approximation methods for DSL spectrum optimization. IEEE International Conference on Communications (ICC 2012), Ottawa, Canada. https://doi.org/10.1109/ICC.2012.6364281
Denies, J., Dehez, B., Glineur, F., & Ben Ahmed, H. (2012). Genetic algorithm-based topology optimization: Performance improvement through dynamic evolution of the population size. Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion, p. 1033-1038. https://doi.org/10.1109/SPEEDAM.2012.6264469
Glineur, F., Lu, L., Van Dooren, P., & Wang, X. (2012). Extended Lanczos Bidiagonalization for Dimension Reduction in Information Retrieval. Proceedings. Published. 8th International Conference on Natural Computation (ICNC′12), Maui, Hawaii.
Article de journal
Devolder, O., Glineur, F., & Nesterov, Y. (2012). Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization. SIAM Journal on Optimization, 22(2), 702-727. https://doi.org/10.1137/110826102 (Original work published 2012)
Gillis, N., & Glineur, F. (2012). A multilevel approach for nonnegative matrix factorization. Journal of Computational and Applied Mathematics, 236(7), 1708-1723. https://doi.org/10.1016/j.cam.2011.10.002 (Original work published 2012)
Gillis, N., & Glineur, F. (2012). On the Geometric Interpretation of the Nonnegative Rank. Linear Algebra and Its Applications, 437(11), 2685-2712. https://doi.org/10.1016/j.laa.2012.06.038 (Original work published 2012)
Gillis, N., & Glineur, F. (2012). Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. Neural Computation, 24(4). https://doi.org/10.1162/NECO_a_00256 (Original work published 2012)
Article de journal
Gillis, N., & Glineur, F. (2011). Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard. SIAM Journal on Matrix Analysis and Applications, 32(4), 1149-1165. https://doi.org/10.1137/110820361 (Original work published 2011)
Papier de conférence
Denies, J., Ben Ahmed, H., Dehez, B., & Glineur, F. (2010). Study of a topology optimization tool associating a hybrid algorithm with a Voronoï-based formalism for the design of electromagnetic devices. Proceedings of the 19th International Conference on Electrical Machines (ICEM 2010). Published. 19th International Conference on Electrical Machines (ICEM 2010), Rome, Italy. https://doi.org/10.1109/ICELMACH.2010.5607889
Article de journal
Bous, G., Fortemps, P., Glineur, F., & Pirlot, M. (2010). ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements. European Journal of Operational Research, 206(2), 435-444. https://doi.org/10.1016/j.ejor.2010.03.009 (Original work published 2010)
Gillis, N., & Glineur, F. (2010). Using underapproximations for sparse nonnegative matrix factorization. Pattern Recognition, 43(4), 1676-1687. https://doi.org/10.1016/j.patcog.2009.11.013 (Original work published 2010)
Chapitre de livre
Devolder, O., Glineur, F., & Nesterov, Y. (2010). Solving infinite-dimensional optimization problems by polynomial approximation. In M. Diehl, F. Glineur, E. Jarlebring and W. Michiels (ed.), Recent Advances in Optimization and its Applications in Engineering (p. p. 37-46). Springer. https://doi.org/10.1007/978-3-642-12598-0_3
Denies, J., Dehez, B., Glineur, F., & Ben Ahmed, H. (2010). Impact of the material distribution formalism on the efficiency of evolutionary methods for topology optimization. In M. Diehl, F. Glineur, E. Jarlebring and W. Michiels (ed.), Recent Advances in Optimization and its Applications in Engineering (p. p. 489-498). Springer. https://doi.org/10.1007/978-3-642-12598-0_40
Monographie
Diehl, M., Glineur, F., Jarlebring, E., & Michiels, W. (2010). Recent Advances in Optimization and its Applications in Engineering. Springer.
Papier de conférence
Chares, R., & Glineur, F. (2009). Variable reduction for interior-point methods using partial minimization. In J. De Schutter, M. Diehl, F. Glineur, E. Jarlebring, Q. Louveaux, W. Michiels, I. Smets, J. Suykens, J. Swevers, J. Vandewalle, J. Van Impe, M. Verschuure (eds.) (ed.), Book of Abstracts of the 14th Belgian-French-German Conference on Optimization (p. p. 117).
Labbe, T., Dehez, B., & Glineur, F. (2009). Two complementary methods to face with convexity issues in topology optimization problems. Compumag 2009, Florianopolis (Brésil).
Devolder, O., Glineur, F., & Nesterov, Y. (2009). Convergence of Polynomial Approximations for Infinite-Dimensional Optimization Problems. In J. De Schutter, M. Diehl, F. Glineur, E. Jarlebring, Q. Louveaux, W. Michiels, I. Smets, J. Suykens, J. Swevers, J. Vandewalle, J. Van Impe, M. Verschuure (eds.) (ed.), Book of Abstracts of the 14th Belgian-French-German Conference on Optimization (p. p. 103).
Glineur, F. (2009). Quadratic approximation of some convex optimization problems using the arithmetic-geometric mean iteration. In J. De Schutter, M. Diehl, F. Glineur, E. Jarlebring, Q. Louveaux, W. Michiels, I. Smets, J. Suykens, J. Swevers, J. Vandewalle, J. Van Impe, M. Verschuure (eds.) (ed.), Book of Abstracts of the 14th Belgian-French-German Conference on Optimization (p. p. 105).
Berry, M. W., Gillis, N., & Glineur, F. (2009). Document Classification Using Nonnegative Matrix Factorization and Underapproximation. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), 2782-2785.
Labbe, T., Glineur, F., & Dehez, B. (2009). Topology optimization method applied to the design of electromagnetic devices: focus on convexity issues. Proceedings of 8th International Symposium on Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium (ELECTROMOTION 2009), 6 pp. https://doi.org/10.1109/ELECTROMOTION.2009.5259087
Monographie
De Schutter, J., Diehl, M., & Glineur, F. (2009). Book of Abstracts of the 14th Belgian-French-German Conference on Optimization. Katholieke Universiteit Leuven.
Article de journal
Chares, R., & Glineur, F. (2008). An interior-point method for the single-facility location problem with mixed norms using a conic formulation. Mathematical Methods of Operations Research, 68(3), 383-405. https://doi.org/10.1007/s00186-008-0225-x (Original work published 2008)
Article de journal
Glineur, F., & Walhin, J.-F. (2006). De Finetti’s retention problem for proportional reinsurance revisited. Blätter der DGVFM, 27(3), 451-462. https://doi.org/10.1007/BF02809170 (Original work published 2006)
Walhin, J.-F., & Glineur, F. (2006). De Finetti’s retention problem for proportional reinsurance revisited. Blätter der DGVFM, 28, 451-462. (Original work published 2006)
Article de journal
Glineur, F., & Terlaky, T. (2004). Conic formulation for lp-norm optimization. Journal of Optimization Theory and Applications, 122(2), 285-307. https://doi.org/10.1023/B:JOTA.0000042522.65261.51 (Original work published 2004)
Chapitre de livre
Glineur, F. (2003). Les méthodes de point intérieur. In Jacques Teghem (ed.), Programmation linéaire (p. p. 263-285). Editions Ellipses.
Article de journal
Glineur, F. (2002). Improving Complexity of Structured Convex Optimization Problems Using Self-concordant Barriers. European Journal of Operational Research, 143(2), 291-310. https://doi.org/10.1016/S0377-2217(02)00297-7 (Original work published 2002)
Article de journal
Glineur, F. (2001). Conic optimization: an elegant framework for convex optimization. Belgian Journal of Operations Research, Statistics and Computer Science, 41(1-2), 5-28. (Original work published 2001)
Glineur, F. (2001). Proving strong duality for geometric optimization using a conic formulation. Annals of Operations Research, 105(1/4), 155-184. https://doi.org/10.1023/A:1013357600036 (Original work published 2001)
Article de journal
Glineur, F. (2000). An extended conic formulation for geometric optimization. Foundations of Computing and Decision Sciences, 25(3), 161-174. (Original work published 2000)
Article de journal
Glineur, F. (1998). Interior-point methods for linear programming: a guided tour. Belgian Journal of Operations Research, Statistics and Computer Science, 38(1), 3-30. (Original work published 1998)
