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François Glineur : Citation Profile


Are you François Glineur?

Université Catholique de Louvain

4

H index

1

i10 index

46

Citations

RESEARCH PRODUCTION:

6

Articles

30

Papers

RESEARCH ACTIVITY:

   15 years (2001 - 2016). See details.
   Cites by year: 3
   Journals where François Glineur has often published
   Relations with other researchers
   Recent citing documents: 15.    Total self citations: 13 (22.03 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pgl27
   Updated: 2018-01-13    RAS profile: 2017-04-27    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with François Glineur.

Is cited by:

Greco, Salvatore (2)

Dias, Luis (1)

Cites to:

Bauwens, Luc (4)

Pohlmeier, Winfried (4)

Veredas, David (4)

AMIR, Rabah (3)

Main data


Where François Glineur has published?


Journals with more than one article published# docs
Journal of Global Optimization2
European Journal of Operational Research2

Recent works citing François Glineur (2017 and 2016)


YearTitle of citing document
2017Deriving rankings from incomplete preference information: A comparison of different approaches. (2017). Vetschera, Rudolf . In: European Journal of Operational Research. RePEc:eee:ejores:v:258:y:2017:i:1:p:244-253.

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2017How well does the OWA operator represent real preferences?. (2017). Reimann, Olivier ; Vetschera, Rudolf ; Schumacher, Christian . In: European Journal of Operational Research. RePEc:eee:ejores:v:258:y:2017:i:3:p:993-1003.

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2017A linear programming approach for learning non-monotonic additive value functions in multiple criteria decision aiding. (2017). Ghaderi, Mohammad ; Agell, Nuria ; Ruiz, Francisco . In: European Journal of Operational Research. RePEc:eee:ejores:v:259:y:2017:i:3:p:1073-1084.

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2017Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem. (2017). Karapetyan, Daniel ; Parkes, Andrew J ; Punnen, Abraham P. In: European Journal of Operational Research. RePEc:eee:ejores:v:260:y:2017:i:2:p:494-506.

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2018UTA-poly and UTA-splines: Additive value functions with polynomial marginals. (2018). Gillis, Nicolas ; Pirlot, Marc ; Sobrie, Olivier ; Mousseau, Vincent . In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:2:p:405-418.

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2016Clustering of heterogeneous networks with directional flows based on “Snake” similarities. (2016). Geroliminis, Nikolas ; Saeedmanesh, Mohammadreza . In: Transportation Research Part B: Methodological. RePEc:eee:transb:v:91:y:2016:i:c:p:250-269.

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2016An adaptive accelerated first-order method for convex optimization. (2016). Svaiter, Benar F ; Ortiz, Camilo . In: Computational Optimization and Applications. RePEc:spr:coopap:v:64:y:2016:i:1:d:10.1007_s10589-015-9802-0.

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2016A fast dual proximal-gradient method for separable convex optimization with linear coupled constraints. (2016). Li, Jueyou ; Dong, Zhao Yang ; WU, ZHIYOU ; Chen, Guo . In: Computational Optimization and Applications. RePEc:spr:coopap:v:64:y:2016:i:3:d:10.1007_s10589-016-9826-0.

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2016New results on subgradient methods for strongly convex optimization problems with a unified analysis. (2016). Ito, Masaru. In: Computational Optimization and Applications. RePEc:spr:coopap:v:65:y:2016:i:1:d:10.1007_s10589-016-9841-1.

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2017Adaptive smoothing algorithms for nonsmooth composite convex minimization. (2017). Tran-Dinh, Quoc . In: Computational Optimization and Applications. RePEc:spr:coopap:v:66:y:2017:i:3:d:10.1007_s10589-016-9873-6.

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2017A primal majorized semismooth Newton-CG augmented Lagrangian method for large-scale linearly constrained convex programming. (2017). Wang, Chengjing ; Tang, Peipei. In: Computational Optimization and Applications. RePEc:spr:coopap:v:68:y:2017:i:3:d:10.1007_s10589-017-9930-9.

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2016The MARS Approach in the Verbal and Holistic Evaluation of the Negotiation Template. (2016). Gorecka, Dorota ; Wachowicz, Tomasz ; Roszkowska, Ewa . In: Group Decision and Negotiation. RePEc:spr:grdene:v:25:y:2016:i:6:d:10.1007_s10726-016-9475-9.

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2017Matrix product constraints by projection methods. (2017). Elser, Veit . In: Journal of Global Optimization. RePEc:spr:jglopt:v:68:y:2017:i:2:d:10.1007_s10898-016-0466-9.

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2017Accelerated parallel and distributed algorithm using limited internal memory for nonnegative matrix factorization. (2017). Nguyen, Duy Khuong ; Bao, TU. In: Journal of Global Optimization. RePEc:spr:jglopt:v:68:y:2017:i:2:d:10.1007_s10898-016-0471-z.

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2017DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling. (2017). Du, Rundong ; Park, Haesun ; Drake, Barry ; Kuang, Da. In: Journal of Global Optimization. RePEc:spr:jglopt:v:68:y:2017:i:4:d:10.1007_s10898-017-0515-z.

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Works by François Glineur:


YearTitleTypeCited
2007An interior-point method for the single-facility location problem with mixed norms using a conic formulation In: CORE Discussion Papers.
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paper1
2008An interior-point method for the single-facility location problem with mixed norms using a conic formulation.(2008) In: Mathematical Methods of Operations Research.
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This paper has another version. Agregated cites: 1
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2008Nonnegative factorization and the maximum edge biclique problem In: CORE Discussion Papers.
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2010Nonnegative factorization and the maximum edge biclique problem.(2010) In: CORE Discussion Papers.
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2009Using underapproximations for sparse nonnegative matrix factorization In: CORE Discussion Papers.
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Using underapproximations for sparse nonnegative matrix factorization.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 1
paper
2010Solving infinite-dimensional optimization problems by polynomial approximation In: CORE Discussion Papers.
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paper1
Solving infinite-dimensional optimizaiton problems by polynomial approximation.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 1
paper
2010Double smoothing technique for infinite-dimensional optimization problems with applications to optimal control In: CORE Discussion Papers.
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2010A multilevel approach for nonnegative matrix factorization In: CORE Discussion Papers.
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A multilevel approach for nonnegative matrix factorization.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 2
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2010On the geometric interpretation of the nonnegative rank In: CORE Discussion Papers.
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On the geometric interpretation of the nonnegative rank.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 1
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2010Low-rank matrix approximation with weights or missing data is NP-hard In: CORE Discussion Papers.
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paper2
Low-rank matrix approximation with weights or missing data is NP-hard.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 2
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2011First-order methods of smooth convex optimization with inexact oracle In: CORE Discussion Papers.
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2011Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization In: CORE Discussion Papers.
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paper4
Accelerated multiplicative updates and hierarchical ALS algorithms for nonnegative matrix factorization.() In: CORE Discussion Papers RP.
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This paper has another version. Agregated cites: 4
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2013First-order methods with inexact oracle: the strongly convex case In: CORE Discussion Papers.
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paper1
2013Intermediate gradient methods for smooth convex problems with inexact oracle In: CORE Discussion Papers.
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2015Heuristics for exact nonnegative matrix factorization In: CORE Discussion Papers.
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paper1
2016Heuristics for exact nonnegative matrix factorization.(2016) In: Journal of Global Optimization.
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This paper has another version. Agregated cites: 1
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2015Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods In: CORE Discussion Papers.
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2016On the Worst-case Complexity of the Gradient Method with Exact Line Search for Smooth Strongly Convex Functions In: CORE Discussion Papers.
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2016Exact worst-case performance of first-order methods for composite convex optimization In: CORE Discussion Papers.
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Improving complexity of structured convex optimization problems usiion ng self-concordant barriers In: CORE Discussion Papers RP.
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Les méthodes de point intérieur In: CORE Discussion Papers RP.
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Conic formulation for lp-norm optimization In: CORE Discussion Papers RP.
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paper2
Impact of the material distribution formalism on the efficiency of evolutionary methods for topology optimization In: CORE Discussion Papers RP.
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paper1
ACUTA: a novel method for eliciting additive value functions on the basis of holistic preference statements In: CORE Discussion Papers RP.
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2010ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements.(2010) In: European Journal of Operational Research.
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This paper has another version. Agregated cites: 15
article
Double smoothing technique for large-scale linearly constrained convex optimization In: CORE Discussion Papers RP.
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paper5
An efficient sampling method for regression-based polynomial chaos expansion In: CORE Discussion Papers RP.
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paper0
2002Improving complexity of structured convex optimization problems using self-concordant barriers In: European Journal of Operational Research.
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2001Proving Strong Duality for Geometric Optimization Using a Conic Formulation In: Annals of Operations Research.
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2014A continuous characterization of the maximum-edge biclique problem In: Journal of Global Optimization.
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