Répertoire des expertises

Orban, Dominique

Répertoire des expertises

Orban, Dominique

Répertoire des expertises

Publications par type

Article de revue (59) Communication de conférence (10) Livre (1) Chapitre de livre (1) Brevet Rapport (61) Thèse Ensemble de données (2) Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Dominique Orban (134)

Articles de revue (59)
- 2025
  - Monnet, D., & Orban, D. (2025). A multi-precision quadratic regularization method for unconstrained optimization with rounding error analysis. Computational Optimization and Applications, 35 pages.
  - Montoison, A., Orban, D., & Saunders, M. A. (2025). MinAres: An Iterative Solver for Symmetric Linear Systems. SIAM Journal on Matrix Analysis and Applications, 46(1), 509-529.
- 2024
  - Aravkin, A. Y., Baraldi, R., & Orban, D. (2024). A Levenberg-Marquardt method for nonsmooth regularized least squarres. SIAM Journal on Scientific Computing, 46(4), A2557-A2581.
  - Migot, T., Orban, D., & Siqueira, A. S. (2024). JSOSuite.jl: Solving continuous optimization problems with JuliaSmoothOptimizers. JuliaCon Proceedings, 6(63), 161-161.
  - Leconte, G., & Orban, D. (2024). The indefinite proximal gradient method. Computational Optimization and Applications, 43 pages.
- 2023
  - Montoison, A., & Orban, D. (2023). GPMR : an iterative method for unsymmetric partitioned lliear systems. SIAM Journal on Matrix Analysis and Applications, 44(1), 293-311.
  - Montoison, A., & Orban, D. (2023). Krylov.jl: A Julia basket of hand-picked Krylov methods. The Journal of Open Source Software, 8(89), 5187-5187.
  - Huang, N., Dai, Y.-H., Orban, D., & Saunders, M. A. (2023). On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. SIAM Journal on Scientific Computing, 45(5), A2185-A2206.
  - Huang, N., Dai, Y.-H., Orban, D., & Saunders, M. A. (2023). Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems. Optimization Methods & Software, 38(5), 887-913.
  - Dussault, J.-P., Migot, T., & Orban, D. (2023). Scalable adaptive cubic regularization methods. Mathematical Programming, 35 pages.
- 2022
  - Aravkin, A. Y., Baraldi, R., & Orban, D. (2022). A proximal quasi-Newton trust-region method for nonsmooth regularized optimization. SIAM Journal on Optimization, 32(2), 900-929.
  - Migot, T., Orban, D., & Siqueira, A. S. (2022). DCISolver.jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility. Journal of Open Source Software, 7(70), 4 pages.
  - Migot, T., Orban, D., & Soares Siqueira, A. (2022). PDENLP models.jl : an NLP model API for optimization problems with PDE-constraints. Journal of Open Source Software, 5 pages.
- 2021
  - di Serafino, D., & Orban, D. (2021). Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. SIAM Journal on Scientific Computing, 43(2), 1001-1026.
  - Ghannad, A., Orban, D., & Saunders, M. A. (2021). Linear systems arising in interior methods for convex optimization: a symmetric formulation with bounded condition number. Optimization Methods and Software, 37(4), 1344-1369.
  - Montoison, A., & Orban, D. (2021). TRICG and TRIMR: Two iterative methods for symmetric quasi-definite systems. SIAM Journal on Scientific Computing, 43(4), A2502-A2525.
- 2020
  - Orban, D., & Siqueira, A. S. (2020). A regularization method for constrained nonlinear least squares. Computational Optimization and Applications, 76(3), 961-989.
  - Dehghani, M., Lambe, A., & Orban, D. (2020). A regularized interior-point method for constrained linear least squares. INFOR: Information Systems and Operational Research, 58(2), 202-224.
  - Montoison, A., & Orban, D. (2020). BILQ: An iterative method for nonsymmetric linear systems with a quasi-minimum error property. SIAM Journal on Matrix Analysis and Applications, 41(3), 1145-1166.
  - Estrin, R., Friedlander, M. P., Orban, D., & Saunders, M. A. (2020). Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. SIAM Journal on Scientific Computing, 42(3), A1809-A1835.
  - Estrin, R., Friedlander, M. P., Orban, D., & Saunders, M. A. (2020). Implementing a smooth exact penalty function for general constrained nonlinear optimization. SIAM Journal on Scientific Computing, 42(3), A1836-A1859.
  - Mestdagh, G., Goussard, Y., & Orban, D. (2020). Scaled projected-directions methods with application to transmission tomography. Optimization and Engineering, 21(4), 1537-1561.
- 2019
  - Buttari, A., Orban, D., Ruiz, D., & Titley-Peloquin, D. (2019). A tridiagonalization method for symmetric saddle-point systems. SIAM Journal on Scientific Computing, 41(5), S409-S432.
  - Estrin, R., Orban, D., & Saunders, M. A. (2019). Euclidean-norm error bounds for SYMMLQ and CG. SIAM Journal on Matrix Analysis and Applications, 40(1), 235-253.
  - Estrin, R., Orban, D., & Saunders, M. A. (2019). LNLQ: An iterative method for least-norm problems with an error minimization property. SIAM Journal on Matrix Analysis and Applications, 40(3), 1102-1124.
  - Estrin, R., Orban, D., & Saunders, M. A. (2019). LSLQ: An iterative method for linear least-squares with an error minimization property. SIAM Journal on Matrix Analysis and Applications, 40(1), 254-275.
  - Dahito, M.-A., & Orban, D. (2019). The conjugate residual method in linesearch and trust-region methods. SIAM Journal on Optimization, 29(3), 1988-2025.
- 2018
  - Arreckx, S., & Orban, D. (2018). A regularized factorization-free method for equality-constrained optimization. SIAM Journal on Optimization, 28(2), 1613-1639.
  - Orban, D. (2018). Introduction to computation and programming using Python, Second edition, with application to understanding data (review). SIAM Review, 60(2), 483-485.
- 2017
  - Dehghani, A., Goffin, J. L., & Orban, D. (2017). A primal-dual regularized interior-point method for semidefinite programming. Optimization Methods & Software, 32(1), 193-219.
- 2016
  - Arreckx, S., Lambe, A., Martins, J., & Orban, D. (2016). A matrix-free augmented lagrangian algorithm with application to large-scale structural design optimization. Optimization and Engineering, 17(2), 359-384.
  - Towhidi, M., & Orban, D. (2016). Customizing the solution process of COIN-ORs linear solvers with Python. Mathematical Programming Computation, 8(4), 377-391.
- 2015
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2015). CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization. Computational Optimization and Applications, 60(3), 545-557.
  - Orban, D. (2015). Limited-memory LDL⊤ factorization of symmetric quasi-definite matrices with application to constrained optimization. Numerical Algorithms, 70(1), 9-41.
- 2014
  - Greif, C., Moulding, E., & Orban, D. (2014). Bounds on Eigenvalues of matrices arising from interior-point methods. SIAM Journal on Optimization, 24(1), 49-83.
  - Audet, C., Dang, C.-K., & Orban, D. (2014). Optimization of algorithms with OPAL. Mathematical Programming Computation, 6(3), 233-254.
  - Gould, N., Orban, D., & Rees, T. (2014). Projected Krylov methods for saddle-point systems. SIAM Journal on Matrix Analysis and Applications, 35(4), 1329-1343.
- 2013
  - Audet, C., Dang, C.-K., & Orban, D. (2013). Efficient use of parallelism in algorithmic parameter optimization applications. Optimization Letters, 7(3), 421-433.
  - Armand, P., Benoist, J., & Orban, D. (2013). From Global to Local Convergence of Interior Methods for Nonlinear Optimization. Optimization Methods & Software, 28(5), 1051-1080.
  - Harvey, J.-P., Eriksson, G., Orban, D., & Chartrand, P. (2013). Global Minimization of the Gibbs Energy of Multicomponent Systems Involving the Presence of Order/Disorder Phase Transitions. American Journal of Science, 313(3), 199-241.
  - Gould, N. I. M., Orban, D., & Robinson, D. P. (2013). Trajectory-following methods for large-scale degenerate convex quadratic programming. Mathematical Programming Computation, 5(2), 113-142.
- 2012
  - Coulibaly, Z., & Orban, D. (2012). An ℓ₁ Elastic Interior-Point Method for Mathematical Programs With Complementarity Constraints. SIAM Journal on Optimization, 22(1), 187-211.
  - Friedlander, M. P., & Orban, D. (2012). A Primal-Dual Regularized Interior-Point Method for Convex Quadratic Programs. Mathematical Programming Computation, 4(1), 71-107.
  - Armand, P., & Orban, D. (2012). The squared slacks transformation in nonlinear programming. SQU Journal for Science, 17(1), 22-29.
- 2010
  - Raymond, V., Soumis, F., & Orban, D. (2010). A new version of the improved primal simplex for degenerate linear programs. Computers & Operations Research, 37(1), 91-98.
  - Fourer, R., Maheshwari, C., Neumaier, A., Orban, D., & Schichl, H. (2010). Convexity and Concavity Detection in Computational Graphs: Tree Walks for Convexity Assessment. INFORMS Journal on Computing, 22(1), 26-43.
  - Fourer, R., & Orban, D. (2010). The DrAMPL Meta Solver for Optimization Problem Analysis. Computational Management Science, 7(4), 437-463.
- 2009
  - Armand, P., Kiselev, A., Marcotte, O., & Orban, D. (2009). Self calibration of a pinhole camera. Mathematics-in-Industry Case Studies, 1, 81-98.
- 2008
  - Armand, P., Benoist, J., & Orban, D. (2008). Dynamic Updates of the Barrier Parameter in Primal-Dual Methods for Nonlinear Programming. Computational Optimization and Applications, 41(1), 1-25.
- 2006
  - Waltz, R. A., Morales, J. L., Nocedal, J., & Orban, D. (2006). An interior algorithm for nonlinear optimization that combines line search and trust region steps. Mathematical Programming, 107(3), 391-408.
  - Audet, C., & Orban, D. (2006). Finding Optimal Algorithmic Parameters Using Derivative-Free Optimization. SIAM Journal on Optimization, 17(3), 642-664.
- 2005
  - Gould, N., Orban, D., & Toint, P. (2005). Numerical methods for large-scale nonlinear optimization. Acta Numerica, 14, 299-361.
  - Gould, N. I. M., Orban, D., Sartenaer, A., & Toint, P. L. (2005). Sensitivity of trust-region algorithms to their parameters. 4OR, 3(3), 227-241.
- 2003
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2003). CUTEr and SifDec: A Constrained and Unconstrained Testing Environment, Revisited. ACM Transactions on Mathematical Software, 29(4), 373-394.
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2003). GALAHAD, a Library of Thread-safe Fortran 90 Packages for Large-scale Nonlinear Optimization. ACM Transactions on Mathematical Software, 29(4), 353-372.
- 2002
  - Gould, N. I. M., Orban, D., Sartenaer, A., & Toint, P. L. (2002). Componentwise fast convergence in the solution of full-rank systems of nonlinear equations. Mathematical Programming, 92(3), 481-508.
  - Wright, S. J., & Orban, D. (2002). Properties of the Log-Barrier Function on Degenerate Nonlinear Programs. Mathematics of Operations Research, 27(3), 585-613.
- 2001
  - Gould, N. I. M., Orban, D., Sartenaer, A., & Toint, P. L. (2001). Superlinear Convergence of Primal-Dual Interior Point Algorithms for Nonlinear Programming. SIAM Journal on Optimization, 11(4), 974-1002.
- 2000
  - Conn, A. R., Gould, N. I. M., Orban, D., & Toint, P. L. (2000). A primal-dual trust-region algorithm for non-convex nonlinear programming. Mathematical Programming, 87(2), 215-249.
Communications de conférence (10)
- 2023
  - Raynaud, P., & Orban, D. (septembre 2023). Limited-memory stochastic partitioned quasi-newton training [Affiche]. Edge Intelligence Workshop, Montreal, Qc, Canada (1 page).
- 2020
  - Ma, D., Orban, D., & Saunders, M. A. (janvier 2020). A Julia Implementation of Algorithm NCL for Constrained Optimization [Communication écrite]. 5th International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer (NAOV 2020), Muscat, Oman.
- 2018
  - Sinqueira, A. S., & Orban, D. (juillet 2018). A regularized interior-point method for constrained nonlinear least squares [Communication écrite]. 12th Brazilian Workshop on Continuous Optimization, Foz do Iguaçu, Brazil.
  - Siqueira, A. S., & Orban, D. (juin 2018). Developing new optimization methods with packages from the JuliaSmoothOptimizers organisation [Communication écrite]. 2nd annual JuMP-Dev Workshop, Bordeaux, France (30 pages).
- 2017
  - Ma, D., Judd, K. L., Orban, D., & Saunders, M. A. (janvier 2017). Stabilized optimization via an NCL algorithm [Communication écrite]. 4th International Conference on Numerical Analysis and Optimization (NAO-IV 2017), Muscat, Oman.
- 2016
  - Beauthier, C., Crélot, A. S., Orban, D., Sainvitu, C., & Sartenaer, A. (janvier 2016). Surrogate Management in Mixed-Variable Derivative-Free Optimization [Communication écrite]. 30th Annual Conference of the Belgian Operational Research Society (ORBEL 30), Louvain-la-Neuve, Belgique.
- 2014
  - Gould, N. I. M., Orban, D., & Toint, P. L. (janvier 2014). An interior-point 1-penalty method for nonlinear optimization [Communication écrite]. 3rd International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer (NAOIII-2014), Muscat, Oman.
- 2011
  - Ayotte-Sauvé, É., Chugunova, M., Cortes, B., Lina, A., Majumdar, A., Orban, D., Prior, C., & Zalzal, V. (août 2011). On Equidistant Points on a Curve [Communication écrite]. 4e Atelier de résolution de problèmes industriels de Montréal, Montréal, QC, Canada.
- 2010
  - Harvey, J.-P., Chartrand, P., Eriksson, G., & Orban, D. (septembre 2010). Gibbs energy minimization challenges using implicit variables solution models [Communication écrite]. Discussion meeting on thermodynamics of alloys (TOFA 2010), Porto, Portugal.
- 2005
  - Menvielle, N., Goussard, Y., Orban, D., & Soulez, G. (août 2005). Reduction of beam-hardening artifacts in X-ray CT [Communication écrite]. 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Livres (1)
- 2017
  - Orban, D., & Arioli, M. (2017). Iterative solution of symmetric quasi-definite linear systems.
Chapitres de livre (1)
- 2010
  - Audet, C., Dang, C.-K., & Orban, D. (2010). Algorithmic parameter optimization of the DFO method with the OPAL framework. Dans Naono, K., Teranishi, K., Cavazos, J., & Suda, R. (édit.), Software Automatic Tuning: From Concepts to State-of-the-Art Results (p. 255-274).
Rapports (61)
- 2024
  - Diouane, Y., Gürol, S., Mouhtal, O., & Orban, D. (2024). An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems. (Rapport technique n° G-2024-66).
  - Huang, N., Dai, Y.-H., Orban, D., & Saunders, M. A. (2024). An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems. (Rapport technique n° G-2024-30).
  - Leconte, G., & Orban, D. (2024). An interior-point trust-region method for nonsmooth regularized bound-constrained optimization. (Rapport technique n° G-2024-17).
  - Diouane, Y., Golier, M., & Orban, D. (2024). A nonsmooth exact penalty method for equality-constrained optimization : complexity and implementation. (Rapport technique n° G-2024-55).
  - Diouane, Y., Laghdaf Habiboullah, M., & Orban, D. (2024). A proximal modified quasi-Newton method for nonsmooth regularized optimization. (Rapport technique n° G-2024-64).
  - Aravkin, A., Baraldi, R., & Orban, D. (2024). A proximal quasi-Newton trust-region method for nonsmooth regularized optimization. (Rapport technique n° G-2021-12).
  - Diouane, Y., Laghdaf Habiboullah, M., & Orban, D. (2024). Complexity of trust-region methods in the presence of unbounded Hessian approximations. (Rapport technique n° G-2024-43).
  - Aravkin, A., Baraldi, R., Leconte, G., & Orban, D. (2024). Corrigendum: A proximal quasi-Newton trust-region method for nonsmooth regularized optimization. (Rapport technique n° G-2021-12-SM).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2024). JSOSuite.jl: Solving continuous optimization problems with JuliaSmoothOptimizers. (Rapport technique n° G-2024-52).
  - Fowkes, J., Lister, A., Montoison, A., & Orban, D. (2024). LibHSL : the ultimate collection for large-scale scientific computation. (Rapport technique n° G-2024-06).
  - Leconte, G., & Orban, D. (2024). RipQP: A multi-precision regularized predictor-corrector method for convex quadratic optimization. (Rapport technique n° G-2021-03).
- 2023
  - Bigeon, J., Orban, D., & Raynaud, P. (2023). A framework around limited-memory partitioned quasi-Newton methods. (Rapport technique n° G-2023-17).
  - Monnet, D., & Orban, D. (2023). A multi-precision quadratic regularization method for unconstrained optimization with rouding error analysis. (Rapport technique n° G-2023-18).
  - Leconte, G., & Orban, D. (2023). Complexity of trust-region with unbounded Hessian approximations for smooth and nonsmooth optimization. (Rapport technique n° G-2023-65).
  - Montoison, A., & Orban, D. (2023). Krylov.jl: A Julia basket of hand-picked Krylov methods. (Rapport technique n° G-2022-50).
  - Montoison, A., Orban, D., & Saunders, M. A. (2023). MinAres : an iterative solver for symmetric linear systems. (Rapport technique n° G-2023-40).
  - Raynaud, P., Orban, D., & Bigeon, J. (2023). Partially-separable loss to parallellize partitioned neural network training. (Rapport technique n° G-2023-36).
  - Raynaud, P., Orban, D., & Bigeon, J. (2023). PLSR1 : a limited-memory partioned quasi-Newton optimizer for partially-separable loss functions. (Rapport technique n° G-2023-41).
  - Leconte, G., & Orban, D. (2023). The indefinite proximal gradient method. (Rapport technique n° G-2023-37).
- 2022
  - Aravkin, A., Baraldi, R., & Orban, D. (2022). A Levenberg-Marquardt method for nonsmooth regularized least squares. (Rapport technique n° G-2022-58).
  - Huang, N., Dai, Y.-D., Orban, D., & Saunders, M. A. (2022). A semi-conjugate gradient method for solving unsymmetric positive definite linear systems. (Rapport technique n° G-2022-25).
  - Lakhmiri, D., Orban, D., & Lodi, A. (2022). A stochastic proximal method for nonsmooth regularized finite sum optimization. (Rapport technique n° G-2022-27).
  - Orban, D. (2022). Computing a sparse projection into a box. (Rapport technique n° G-2022-12).
  - Huang, N., Dai, Y.-D., Orban, D., & Saunders, M. A. (2022). On GSOR, the generalized successive overrelaxation method for double saddle-point problems. (Rapport technique n° G-2022-35).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2022). PDENLPModels.jl: An NLPModel API for optimization problems with PDE-constraints. (Rapport technique n° G-2022-42).
- 2021
  - Ma, D., Orban, D., & Saunders, M. A. (2021). A Julia implementation of Algorithm NCL for constrained optimization. (Rapport technique n° 2021-02).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2021). DCISolver.jl: A Julia solver for nonlinear optimization using dynamic control of infeasibility. (Rapport technique n° G-2021-67).
  - Montoison, A., & Orban, D. (2021). GPMR: An iterative method for unsymmetric partitioned linear systems. (Rapport technique n° G-2021-62).
  - Lotfi, S., Orban, D., & Lodi, A. (2021). Stochastic adaptive regularization with dynamic sampling for machine learning. (Rapport technique n° G-2020-51).
  - Montoison, A., & Orban, D. (2021). TriCG and TriMR: Two iterative methods for symmetric and quasi-definite systems. (Rapport technique n° G-2020-41).
- 2020
  - Ghannad, A., Orban, D., & Saunders, M. A. (2020). A symmetric formulation of the linear system arising in interior methods for convex optimization with bounded condition number. (Rapport technique n° G-2020-37).
  - Angla, C., Bigeon, J., & Orban, D. (2020). Modeling and solving bundle adjustment problems. (Rapport technique n° G-2020-42).
  - Lotfi, S., Bonniot de Ruisselet, T., Orban, D., & Lodi, A. (2020). Stochastic damped L-BFGS with controlled norm of the Hessian approximation. (Rapport technique n° 2020-52).
- 2019
  - Orban, D., & Siqueira, A. S. (2019). A regularization method for constrained nonlinear least squares. (Rapport technique n° G-2019-17).
  - Montoison, A., & Orban, D. (2019). BiLQ: An iterative method for nonsymmetric linear systems with a quasi-minimum property. (Rapport technique n° G-2019-71).
  - di Serafino, D., & Orban, D. (2019). Constraint-preconditioned Krylov solvers for regularized saddle-point systems. (Rapport technique).
  - Bourhis, J., Dussault, J.-P., & Orban, D. (2019). Étude du comportement des méthodes BFGS et L-BFGS pour résoudre un sous-problème de région de confiance. (Rapport technique n° G-2019-64).
  - Estrin, R., Friedlander, M. P., Orban, D., & Saunders, M. A. (2019). Implementing a smooth exact penalty function for constrained nonlinear optimization. (Rapport technique n° G-2019-27).
  - Estrin, R., Friedlander, M. P., Orban, D., & Saunders, M. A. (2019). Implementing a smooth exact penalty function for equality-constrained nonlinear optimization. (Rapport technique n° G-2019-04).
  - Mestdagh, G., Goussard, Y., & Orban, D. (2019). Scaled projected-directions methods with application to transmission tomography. (Rapport technique n° G-2019-60).
- 2018
  - Buttari, A., Orban, D., Ruiz, D., & Titley-Peloquin, D. (2018). A tridiagonalization method for symmetric saddle-point and quasi-definitive system. (Rapport technique n° G-2018-42).
  - Estrin, R., Orban, D., & Saunders, M. A. (2018). LNLQ: An iterative method for least-norm problems with an error minimization property. (Rapport technique n° G-2018-40).
  - Dahito, M.-A., & Orban, D. (2018). The conjugate residual method in linesearch and trust-region methods. (Rapport technique n° G-2018-50).
- 2017
  - Crélot, A.-S., Beauthier, C., Orban, D., Sainvitu, C., & Sartenaer, A. (2017). Combining surrogate strategies with MADS for mixed-variable derivative-free optimization. (Rapport technique n° G-2017-70).
  - Goussard, Y., McLaughlin, M., & Orban, D. (2017). Factorization-free methods for computed tomography. (Rapport technique n° G-2017-65).
  - Estrin, R., Orban, D., & Saunders, M. A. (2017). LSLQ: An Iterative Method for Linear Least-Squares with an Error Minimization Property. (Rapport technique n° G-2017-05).
  - Côté, P., Demeester, K., Orban, D., & Towhidi, M. (2017). Numerical methods for stochastic dynamic programming with application to hydropower optimization. (Rapport technique n° G-2017-64).
- 2016
  - Arreckx, S., & Orban, D. (2016). A Regularized Factorization-Free Method for Equality-Constrained Optimization. (Rapport technique n° G-2016-65).
  - Estrin, R., Orban, D., & Saunders, M. A. (2016). Estimates of the 2-Norm Forward Error for SYMMLQ and CG. (Rapport technique n° G-2016-70).
  - Arreckx, S., Orban, D., & Van Omme, N. (2016). NLP.py: An object-oriented environment for large-scale optimization. (Rapport technique n° G-2016-42).
- 2015
  - Orban, D. (2015). A Collection of Linear Systems Arising from Interior-Point Methods for Quadratic Optimization. (Rapport technique n° G-2015-117).
  - Dussault, J.-P., & Orban, D. (2015). A Scalable Implementation of Adaptive Cubic Regularization Methods Using Shifted Linear Systems. (Rapport technique n° G-2015-109).
- 2014
  - Orban, D. (2014). The Projected Golub-Kahan Process for Constrained Linear Least-Squares Problems. (Rapport technique n° G-2014-15).
- 2013
  - Arioli, M., & Orban, D. (2013). Iterative Methods for Symmetric Quasi-Definite Linear Systems--Part I: Theory. (Rapport technique n° G-2013-32).
- 2012
  - Dehghani, A., Goffin, J.-L., & Orban, D. (2012). Solving Unconstrained Nonlinear Programs Using ACCPM. (Rapport technique n° G-2012-02).
- 2011
  - Orban, D. (2011). Templating and Automatic Code Generation for Performance with Python. (Rapport technique n° G-2011-30).
- 2009
  - Orban, D. (2009). The Lightning AMPL Tutorial. A Guide for Nonlinear Optimization Users. (Rapport technique n° G-2009-66).
- 2008
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2008). LANCELOT_SIMPLE: A Simple Interface for LANCELOT-B. (Rapport technique n° G-2008-11).
  - Orban, D. (2008). Projected Krylov Methods for Unsymmetric Augmented Systems. (Rapport technique n° G-2008-46).
- 2002
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2002). Results from a Numerical Evaluation of LANCELOT B. (Rapport technique n° NAGIR-2002-1).
Ensembles de données (2)
- 2023
  - Fowkes, J., Gould, N. I. M., Montoison, A., & Orban, D. (2023). GALAHAD 4 an open source library of Fortran packages with C and Matlab interfaces for continuous optimization' [Ensemble de données].
- 2015
  - Orban, D. (2015). Sqd-Collection: Initial Release [Ensemble de données].

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Dominique Orban (134)