Dominique Orban

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Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Philippe TointProfessor (Emeritus) of Numerical OptimizationVerified email at unamur.be
Michael SaundersProfessor of Operations Research, Stanford UniversityVerified email at stanford.edu
Charles AudetPolytechnique Montreal and GERADVerified email at gerad.ca
Andrew ConnIBM ResearchVerified email at us.ibm.com
Jorge NocedalProfessor, Industrial Engineering, Northwestern UniversityVerified email at NORTHWESTERN.EDU
Jose Luis MoralesUniversidad Nacional Autónoma de MéxicoVerified email at comunidad.unam.mx
Ron EstrinStanford UniversityVerified email at stanford.edu
Michael P. FriedlanderProfessor of Computer Science and Mathematics, University of British ColumbiaVerified email at friedlander.io
Robert FourerAMPL Optimization & Northwestern UniversityVerified email at ampl.com
Mario ArioliUniversità LUM Jean MonnetVerified email at lum.it
Ding MaStanford UniversityVerified email at stanford.edu
Arnold NeumaierProfessor for Computational Mathematics, University of Vienna, AustriaVerified email at univie.ac.at
Tyrone ReesComputational Mathematics Group, Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Jean-Philippe HarveyAssistant professorVerified email at polymtl.ca
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Joaquim R. R. A. MartinsPauline M. Sherman Collegiate Professor of Aerospace Engineering, University of MichiganVerified email at umich.edu
Kenneth L Juddhoover institutionVerified email at stanford.edu

Dominique Orban

Professor of Computational Mathematics, GERAD and Ecole Polytechnique de Montreal

Verified email at gerad.ca - Homepage

Computational Mathematics Optimization Linear Algebra


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An interior algorithm for nonlinear optimization that combines line search and trust region steps RA Waltz, JL Morales, J Nocedal, D Orban Mathematical Programming 107 (3), 391-408, 2006	1368	2006
CUTEr and SifDec: a constrained and unconstrained testing environment, revisited NI Gould, D Orban, PL Toint ACM Transactions on Mathematical Software (TOMS) 29 (4), 373-394, 2004	806	2004
CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization NIM Gould, D Orban, PL Toint Computational Optimization and Applications, 1-13, 2014	479	2014
GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization NIM Gould, D Orban, PL Toint ACM Transactions on Mathematical Software (TOMS) 29 (4), 353-372, 2003	278	2003
Numerical methods for large-scale nonlinear optimization N Gould, D Orban, P Toint Acta Numerica 14 (1), 299-361, 2005	229	2005
Finding optimal algorithmic parameters using derivative-free optimization C Audet, D Orban SIAM Journal on Optimization 17 (3), 642-664, 2006	213*	2006
A primal-dual trust-region algorithm for non-convex nonlinear programming AR Conn, NIM Gould, D Orban, PL Toint Mathematical Programming 87 (2), 215-249, 2000	176*	2000
A primal–dual regularized interior-point method for convex quadratic programs MP Friedlander, D Orban Mathematical Programming Computation 4 (1), 71-107, 2012	109	2012
Superlinear convergence of primal-dual interior point algorithms for nonlinear programming NIM Gould, D Orban, A Sartenaer, PL Toint SIAM Journal on Optimization 11 (4), 974-1002, 2001	109	2001
Sensitivity of trust-region algorithms to their parameters NIM Gould, D Orban, A Sartenaer, PL Toint 4OR 3 (3), 227-241, 2005	67	2005
An Interior-Point ℓ 1-Penalty Method for Nonlinear Optimization NIM Gould, D Orban, PL Toint Numerical Analysis and Optimization, 117-150, 2015	66	2015
Bounds on eigenvalues of matrices arising from interior-point methods C Greif, E Moulding, D Orban SIAM Journal on Optimization 24 (1), 49-83, 2014	65	2014
Reduction of beam-hardening artifacts in X-ray CT N Menvielle, Y Goussard, D Orban, G Soulez 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 1865-1868, 2006	64	2006
Projected Krylov methods for saddle-point systems N Gould, D Orban, T Rees Cahier du GERAD G-2013-23, GERAD, Montréal, Québec, Canada, 2013	48	2013
Iterative Solution of Symmetric Quasi-Definite Linear Systems D Orban, M Arioli Society for Industrial and Applied Mathematics, 2017	43	2017
Algorithmic parameter optimization of the DFO method with the OPAL framework C Audet, CK Dang, D Orban Software Automatic Tuning: From Concepts to State-of-the-Art Results, 255-274, 2010	41	2010
Dynamic updates of the barrier parameter in primal-dual methods for nonlinear programming P Armand, J Benoist, D Orban Computational Optimization and Applications 41 (1), 1-25, 2008	36	2008
A proximal quasi-Newton trust-region method for nonsmooth regularized optimization AY Aravkin, R Baraldi, D Orban SIAM Journal on Optimization 32 (2), 900-929, 2022	34	2022
Optimization of algorithms with OPAL C Audet, KC Dang, D Orban Mathematical Programming Computation 6 (3), 233-254, 2014	34	2014
A new version of the Improved Primal Simplex for degenerate linear programs V Raymond, F Soumis, D Orban Computers & Operations Research 37 (1), 91-98, 2010	34	2010

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