François Glineur

Professeur ordinaire

francois.glineur@uclouvain.be

SST/EPL Louvain School of Engineering (EPL)

SST/ICTM Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM)

SSH/IDAM Louvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM)

SST/ICTM/INMA Pôle en ingénierie mathématique (INMA)

Postal address

INMA - Euler
L4.05.01
Avenue Georges Lemaître 4-6
1348 Louvain-la-Neuve

INMA -- Euler, a124 (premier étage)

SC03B - Euler
Floor 01 Office A 124
1348 Louvain-la-Neuve

Phone : 010478164

Secretary Phone : 010478036

Learning units for 2026

Label	Code
Algebra	LEPL1101
Analysis	LEPL1102
Analysis II	LEPL1105
Analysis	LINFO1111
Optimization models and methods I	LINMA1702
Applied mathematics seminar	LINMA2120
Optimization models and methods II	LINMA2471

2026

Journal article

Rotaru, T., Glineur, F., & Patrinos, P. (2026). Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions. Mathematical Programming. Published. https://doi.org/10.1007/s10107-025-02313-1 (Original work published 2026)

https://research.dial.uclouvain.be/handle/2078.5/276481

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)

https://research.dial.uclouvain.be/handle/2078.5/262501

Book chapter

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

https://research.dial.uclouvain.be/handle/2078.5/259405

2025

Conference paper

Beghin, P., Ceulemans, A.-E., & Glineur, F. (2025, September 8). DIGITAL HERITAGE (2025) Identification of Violin Reduction via Contour Lines Classification. Digital Heritage – International Congress 2025, Siena, Italy. https://doi.org/10.2312/dh.20253083

https://research.dial.uclouvain.be/handle/2078.5/280846

Rotaru, T., Panagiotis, P., & Glineur, F. (2025). Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. PMLR Proceedings of Machine Learning Research, 258, 4114-4122. (Original work published 2025)

https://research.dial.uclouvain.be/handle/2078.5/252415

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.

https://research.dial.uclouvain.be/handle/2078.5/262504

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.

https://research.dial.uclouvain.be/handle/2078.5/262505

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.

https://research.dial.uclouvain.be/handle/2078.5/262502

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/256080

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)

https://research.dial.uclouvain.be/handle/2078.5/252405

2024

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/254601

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

https://research.dial.uclouvain.be/handle/2078.5/252166

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/254571

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)

https://research.dial.uclouvain.be/handle/2078.5/252184

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)

https://research.dial.uclouvain.be/handle/2078.5/254615

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)

https://research.dial.uclouvain.be/handle/2078.5/254582

2023

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/262489

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)

https://research.dial.uclouvain.be/handle/2078.5/252038

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)

https://research.dial.uclouvain.be/handle/2078.5/273396

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)

https://research.dial.uclouvain.be/handle/2078.5/262492

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)

https://research.dial.uclouvain.be/handle/2078.5/252333

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252253

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.

https://research.dial.uclouvain.be/handle/2078.5/262490

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

https://research.dial.uclouvain.be/handle/2078.5/252289

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

https://research.dial.uclouvain.be/handle/2078.5/254555

2022

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/229112

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/269600

2021

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/273547

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)

https://research.dial.uclouvain.be/handle/2078.5/273546

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252311

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

https://research.dial.uclouvain.be/handle/2078.5/252277

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.

https://research.dial.uclouvain.be/handle/2078.5/252182

2020

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/121700

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)

https://research.dial.uclouvain.be/handle/2078.5/252169

Conference paper

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.

https://research.dial.uclouvain.be/handle/2078.5/273555

2019

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252095

Hamaide, V., & Glineur, F. (2019). Predictive maintenance of a rotating condenser inside a synchrocyclotron. C E U R Workshop Proceedings, 2491, 1-12. (Original work published 2019)

https://research.dial.uclouvain.be/handle/2078.5/252165

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.

https://research.dial.uclouvain.be/handle/2078.5/226876

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252016

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)

https://research.dial.uclouvain.be/handle/2078.5/235135

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)

https://research.dial.uclouvain.be/handle/2078.5/251934

2018

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/235140

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)

https://research.dial.uclouvain.be/handle/2078.5/254553

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)

https://research.dial.uclouvain.be/handle/2078.5/170928

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)

https://research.dial.uclouvain.be/handle/2078.5/251927

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252051

2017

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/254533

Martin, B., De Jaeger, E., & Glineur, F. (2017). A comparison of convex formulations for the joint planning of microgrids. CIRED, Open Access Proc. J, 2017, 2174-2178. https://doi.org/10.1049/oap-cired.2017.0841 (Original work published 2017)

https://research.dial.uclouvain.be/handle/2078.5/173827

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252387

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)

https://research.dial.uclouvain.be/handle/2078.5/252218

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)

https://research.dial.uclouvain.be/handle/2078.5/252298

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)

https://research.dial.uclouvain.be/handle/2078.5/252372

2016

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252208

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252192

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)

https://research.dial.uclouvain.be/handle/2078.5/252206

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)

https://research.dial.uclouvain.be/handle/2078.5/254568

Book chapter

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

https://research.dial.uclouvain.be/handle/2078.5/252360

2015

Conference paper

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.

https://research.dial.uclouvain.be/handle/2078.5/252188

2014

Conference paper

Latiers, A., Glineur, F., & De Jaeger, E. (2014). Toward semi-autonomous decentralized primary control from demand response. CIGRE Belgium Conference, Brussels, Belgium.

https://research.dial.uclouvain.be/handle/2078.5/252314

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

https://research.dial.uclouvain.be/handle/2078.5/252359

Latiers, A., Glineur, F., & De Jaeger, E. (2014). Energy Limits in Primary Frequency Control with Short-Term Frequency-Band Allocation. ISGT 2014, Istanbul.

https://research.dial.uclouvain.be/handle/2078.5/252261

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/203201

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)

https://research.dial.uclouvain.be/handle/2078.5/252348

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)

https://research.dial.uclouvain.be/handle/2078.5/252161

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)

https://research.dial.uclouvain.be/handle/2078.5/252175

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)

https://research.dial.uclouvain.be/handle/2078.5/252375

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)

https://research.dial.uclouvain.be/handle/2078.5/252362

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)

https://research.dial.uclouvain.be/handle/2078.5/252274

2013

Book chapter

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.

https://research.dial.uclouvain.be/handle/2078.5/252351

Conference paper

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.

https://research.dial.uclouvain.be/handle/2078.5/252181

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.

https://research.dial.uclouvain.be/handle/2078.5/252234

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.

https://research.dial.uclouvain.be/handle/2078.5/252189

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/255241

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)

https://research.dial.uclouvain.be/handle/2078.5/252087

2012

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252057

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)

https://research.dial.uclouvain.be/handle/2078.5/251920

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)

https://research.dial.uclouvain.be/handle/2078.5/252084

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)

https://research.dial.uclouvain.be/handle/2078.5/251961

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252364

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.

https://research.dial.uclouvain.be/handle/2078.5/252381

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

https://research.dial.uclouvain.be/handle/2078.5/252210

2011

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252011

2010

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/251953

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)

https://research.dial.uclouvain.be/handle/2078.5/252141

Conference paper

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

https://research.dial.uclouvain.be/handle/2078.5/252267

Book chapter

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

https://research.dial.uclouvain.be/handle/2078.5/251915

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

https://research.dial.uclouvain.be/handle/2078.5/252014

Monography

Diehl, M., Glineur, F., Jarlebring, E., & Michiels, W. (2010). Recent Advances in Optimization and its Applications in Engineering. Springer.

https://research.dial.uclouvain.be/handle/2078.5/252117

2009

Conference paper

Labbe, T., Dehez, B., & Glineur, F. (2009). Two complementary methods to face with convexity issues in topology optimization problems. Compumag 2009, Florianopolis (Brésil).

https://research.dial.uclouvain.be/handle/2078.5/252059

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).

https://research.dial.uclouvain.be/handle/2078.5/252354

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).

https://research.dial.uclouvain.be/handle/2078.5/252284

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.

https://research.dial.uclouvain.be/handle/2078.5/252296

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

https://research.dial.uclouvain.be/handle/2078.5/252190

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).

https://research.dial.uclouvain.be/handle/2078.5/226243

Monography

De Schutter, J., Diehl, M., & Glineur, F. (2009). Book of Abstracts of the 14th Belgian-French-German Conference on Optimization. Katholieke Universiteit Leuven.

https://research.dial.uclouvain.be/handle/2078.5/74854

2008

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252214

2006

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/252316

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)

https://research.dial.uclouvain.be/handle/2078.5/138595

2004

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/250200

2003

Book chapter

Glineur, F. (2003). Les méthodes de point intérieur. In Jacques Teghem (ed.), Programmation linéaire (p. p. 263-285). Editions Ellipses.

https://research.dial.uclouvain.be/handle/2078.5/158269

2002

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/250648

2001

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/269333

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)

https://research.dial.uclouvain.be/handle/2078.5/69078

2000

Journal article

Glineur, F. (2000). An extended conic formulation for geometric optimization. Foundations of Computing and Decision Sciences, 25(3), 161-174. (Original work published 2000)

https://research.dial.uclouvain.be/handle/2078.5/158266

1998

Journal article

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)

https://research.dial.uclouvain.be/handle/2078.5/158268

Menu

François Glineur

Postal address

INMA -- Euler, a124 (premier étage)

Social networks

Learning units for 2026