Mathematical Optimization
core |
Journal Articles
1. Stevens, Nicolas; Smeers, Yves; Papavasiliou, Anthony. Indivisibilities in investment and the role of a capacity market. In: Journal of Regulatory Economics, (2024). doi:10.1007/s11149-024-09473-6 (Accepté/Sous presse). http://hdl.handle.net/2078.1/285814
2. Avila Girardot, Daniel; Papavasiliou, Anthony; Junca, Mauricio; Exizidis, Lazaros. Applying High-Performance Computing to the European Resource Adequacy Assessment. In: IEEE Transactions on Power Systems, Vol. 39, no. 2, p. 3785-3797 (2024). doi:10.1109/TPWRS.2023.3304717. http://hdl.handle.net/2078.1/277340
3. Avila Girardot, Daniel; Papavasiliou, Anthony; Nils Lohndorf. Batch Learning SDDP for Long-Term Hydrothermal Planning. In: IEEE Transactions on Power Systems, Vol. 39, no. 1, p. 614-627 (2024). doi:10.1109/TPWRS.2023.3246724. http://hdl.handle.net/2078.1/273050
4. Nesterov, Yurii. Primal Subgradient Methods with Predefined Step Sizes. In: Journal of Optimization Theory and Applications, (2024). doi:10.1007/s10957-024-02456-9 (Accepté/Sous presse). http://hdl.handle.net/2078.1/292848
5. Stevens, Nicolas; Papavasiliou, Anthony; Smeers, Yves. On some advantages of convex hull pricing for the European electricity auction. In: Energy Economics, (2024). doi:10.1016/j.eneco.2024.107542 (Accepté/Sous presse). http://hdl.handle.net/2078.1/286967
6. Rodomanov, Anton; Nesterov, Yurii. Subgradient ellipsoid method for nonsmooth convex problems. In: Mathematical Programming, Vol. 199, p. 305-341 (2023). doi:10.1007/s10107-022-01833-4. http://hdl.handle.net/2078.1/272860
7. Nesterov, Yurii. Inexact accelerated high-order proximal-point methods. In: Mathematical programming, Vol. 197, no.1, p. 1-26 (2023). doi:10.1007/s10107-021-01727-x. http://hdl.handle.net/2078.1/277134
8. Doikov, Nikita; Nesterov, Yurii. Affine-invariant contracting-point methods for Convex Optimization. In: Mathematical Programming, Vol. 198, no. 1, p. 115-137 (2023). doi:10.1007/s10107-021-01761-9. http://hdl.handle.net/2078.1/272861
9. Aardal, Karen; Scavuzzo, Lara; Wolsey, Laurence. A study of lattice reformulations for integer programming. In: Operations Research Letters, Vol. 51, no.4, p. 401-407 (2023). doi:10.1016/j.orl.2023.05.001. http://hdl.handle.net/2078.1/286729
10. Leplat, Valentin; Nesterov, Yurii; Gillis, Nicolas; Glineur, François. Conic optimization-based algorithms for nonnegative matrix factorization. In: Optimization Methods and Software, Vol. 38, no.4, p. 837-859 (2023). doi:10.1080/10556788.2023.2189714. http://hdl.handle.net/2078.1/277136
11. Catanzaro, Daniele; Pesenti, Raffaele; Ronco, Roberto. Job scheduling under Time-of-Use energy tariffs for sustainable manufacturing: a survey. In: European Journal of Operational Research, Vol. 308, no.3, p. 1091-1109 (2023). doi:10.1016/j.ejor.2023.01.029. http://hdl.handle.net/2078.1/278688
12. Nesterov, Yurii. Set-Limited Functions and Polynomial-Time Interior-Point Methods. In: Journal of Optimization Theory and Applications, (2023). doi:10.1007/s10957-023-02163-x (Accepté/Sous presse). http://hdl.handle.net/2078.1/277062
13. Catanzaro, Daniele; Frohn, Martin; Gascuel, Olivier; Pesenti, Raffaele. A Massively Parallel Branch-&-Bound Algorithm for the Balanced Minimum Evolution Problem. In: Computers & Operations Research, Vol. 158, p. 106308 (2023). doi:10.1016/j.cor.2023.106308. http://hdl.handle.net/2078.1/278715
14. Mezghani, Ilyès; Stevens, Nicolas; Papavasiliou, Anthony; Chatzigiannis, Dimitris I. Hierarchical Coordination of Transmission and Distribution System Operations in European Balancing Markets. In: IEEE Transactions on Power Systems, Vol. 38, no. 5, p. 3990-4002 (2023). doi:10.1109/TPWRS.2022.3208968. http://hdl.handle.net/2078.1/266127
15. Cartuyvels, Jacques; Papavasiliou, Anthony. Calibration of Operating Reserve Demand Curves Using a System Operation Simulator. In: IEEE Transactions on Power Systems, Vol. 38, no. 4, p. 3043-3055 (2023). doi:10.1109/TPWRS.2022.3200125. http://hdl.handle.net/2078.1/264605
16. Gasparin, Andrea; Camerota Verdù, Federico Julian; Catanzaro, Daniele; Castelli, Lorenzo. An evolution strategy approach for the balanced minimum evolution problem. In: Bioinformatics, Vol. 39, no. 11 (2023), p. btad660 (2023). doi:10.1093/bioinformatics/btad660. http://hdl.handle.net/2078.1/280077
17. Doikov, Nikita; Nesterov, Yurii. Gradient regularization of Newton method with Bregman distances. In: Mathematical programming, (2023). doi:10.1007/s10107-023-01943-7 (Accepté/Sous presse). http://hdl.handle.net/2078.1/277135
18. Nunes Grapiglia, Geovani; Nesterov, Yurii. Adaptive Third-Order Methods for Composite Convex Optimization. In: SIAM Journal on Optimization, Vol. 33, no.3, p. 1855-1883 (2023). doi:10.1137/22M1480872. http://hdl.handle.net/2078.1/292838
19. Papavasiliou, Anthony; Bouso, Alberte; Apelfröjd, Senad; Wik, Ellika; Gueuning, Thomas; Langer, Yves. Multi-Area Reserve Dimensioning using Chance-Constrained Optimization. In: IEEE Transactions on Power Systems, Vol. 37, no. 5, p. 3982-3994 (2022). doi:10.1109/TPWRS.2021.3133102. http://hdl.handle.net/2078.1/255446
20. Rodomanov, Anton; Nesterov, Yurii. Rates of superlinear convergence for classical quasi-Newton methods. In: Mathematical Programming, Vol. 194, no. 1-2, p. 159-190 (2022). doi:10.1007/s10107-021-01622-5. http://hdl.handle.net/2078.1/269668
21. Müller, David; Nesterov, Yurii; Shikhman, Vladimir. Discrete Choice Prox-Functions on the Simplex. In: Mathematics of Operations Research, Vol. 47, no.1, p. 485-507 (2022). doi:10.1287/moor.2021.1136. http://hdl.handle.net/2078.1/269698
22. Guzman, Cristobal; Riffo, Javiera; Telha, Claudio; Van Vyve, Mathieu. A Sequential Stackelberg Game for Dynamic Inspection Problems. In: European Journal of Operational Research, (2022). doi:10.1016/j.ejor.2021.12.015 (Accepté/Sous presse). http://hdl.handle.net/2078.1/256282
23. Nesterov, Yurii; Florea, Mihai. Gradient methods with memory. In: Optimization Methods and Software, Vol. 37, no. 3, p. 936-953 (2022). doi:10.1080/10556788.2020.1858831. http://hdl.handle.net/2078.1/272859
24. Nesterov, Yurii. Inexact basic tensor methods for some classes of convex optimization problems. In: Optimization Methods and Software, Vol. 37, no. 3, p. 878-906 (2022). doi:10.1080/10556788.2020.1854252. http://hdl.handle.net/2078.1/250753
25. Doikov, Nikita; Nesterov, Yurii. High-Order Optimization Methods for Fully Composite Problems. In: SIAM Journal on Optimization, Vol. 32, no.3, p. 2402-2427 (2022). doi:10.1137/21m1410063. http://hdl.handle.net/2078.1/269707
26. Anikin, Anton; Gasnikov, Alexander; Gornov, Alexander; Kamzolov, Dmitry; Maximov, Yury; Nesterov, Yurii. Efficient numerical methods to solve sparse linear equations with application to PageRank. In: Optimization Methods and Software, Vol. 37, no. 3, p. 907-935 (2022). doi:10.1080/10556788.2020.1858297. http://hdl.handle.net/2078.1/254346
27. Stevens, Nicolas; Papavasiliou, Anthony. Application of the Level Method for Computing Locational Convex Hull Prices. In: IEEE Transactions on Power Systems, Vol. 37, no. 5, p. 3958-3968 (2022). doi:10.1109/TPWRS.2022.3142567. http://hdl.handle.net/2078.1/256786
28. Doikov, Nikita; Nesterov, Yurii. Local convergence of tensor methods. In: Mathematical Programming, Vol. 193, no. 1, p. 315-336 (2022). doi:10.1007/s10107-020-01606-x. http://hdl.handle.net/2078.1/269675
29. Nunes Grapiglia, Geovani; Nesterov, Yurii. Tensor methods for finding approximate stationary points of convex functions. In: Optimization Methods and Software, Vol. 37, no.2, p. 605-638 (2022). doi:10.1080/10556788.2020.1818082. http://hdl.handle.net/2078.1/271591
30. Nesterov, Yurii. Superfast Second-Order Methods for Unconstrained Convex Optimization. In: Journal of Optimization Theory and Applications, Vol. 191, no.1, p. 1-30 (2021). doi:10.1007/s10957-021-01930-y. http://hdl.handle.net/2078.1/277058
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108 |
=> 109 resp = eval( urllib.urlopen(q).read() ) |
110 if ( resp['response']['numFound'] > 0 ): |
111 #print '<h/>%s (%d)</h2>' % (pubType[t].encode("utf-8"), \ |
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'https://dial.uclouvain.be/solr/repository/select...%22%20AND%20sm_type%3A%22Brevet%20%28Patent%29%22', ).read undefined |
<type 'exceptions.SyntaxError'>: invalid syntax (<string>, line 1)
args =
('invalid syntax', ('<string>', 1, 1, '<html>\n'))
filename =
'<string>'
lineno =
1
message =
''
msg =
'invalid syntax'
offset =
1
print_file_and_line =
None
text =
'<html>\n'