Directory of Experts

Orban, Dominique

Directory of Experts

Orban, Dominique

Directory of Experts

Publications by type

Journal article (59) Conference paper (10) Book (1) Book chapter (1) Patent Report (87) Thesis Dataset (2) Teaching resource Image Audio recording Video recording Other

Dominique Orban (160)

Journal articles (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. R. R. A., & 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-OR's linear solvers with Python. Mathematical Programming Computation, 8(4), 377-391.
- 2015
  - Gould, N., Orban, D., & Toint, P. (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, K.-C., & 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. I. M., Orban, D., & Toint, P. L. (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.
Conference papers (10)
- 2023
  - Raynaud, P., & Orban, D. (2023, September). Limited-memory stochastic partitioned quasi-newton training [Poster]. Edge Intelligence Workshop, Montreal, Qc, Canada (1 page).
- 2020
  - Ma, D., Orban, D., & Saunders, M. A. (2020, January). A Julia Implementation of Algorithm NCL for Constrained Optimization [Paper]. 5th International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer (NAOV 2020), Muscat, Oman.
- 2018
  - Sinqueira, A. S., & Orban, D. (2018, July). A regularized interior-point method for constrained nonlinear least squares [Paper]. 12th Brazilian Workshop on Continuous Optimization, Foz do Iguaçu, Brazil.
  - Siqueira, A. S., & Orban, D. (2018, June). Developing new optimization methods with packages from the JuliaSmoothOptimizers organisation [Paper]. 2nd annual JuMP-Dev Workshop, Bordeaux, France (30 pages).
- 2017
  - Ma, D., Judd, K. L., Orban, D., & Saunders, M. A. (2017, January). Stabilized optimization via an NCL algorithm [Paper]. 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. (2016, January). Surrogate Management in Mixed-Variable Derivative-Free Optimization [Paper]. 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. (2014, January). An interior-point 1-penalty method for nonlinear optimization [Paper]. 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. (2011, August). On Equidistant Points on a Curve [Paper]. 4e Atelier de résolution de problèmes industriels de Montréal, Montréal, QC, Canada.
- 2010
  - Harvey, J.-P., Chartrand, P., Eriksson, G., & Orban, D. (2010, September). Gibbs energy minimization challenges using implicit variables solution models [Paper]. Discussion meeting on thermodynamics of alloys (TOFA 2010), Porto, Portugal.
- 2005
  - Menvielle, N., Goussard, Y., Orban, D., & Soulez, G. (2005, August). Reduction of beam-hardening artifacts in X-ray CT [Paper]. 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Books (1)
- 2017
  - Orban, D., & Arioli, M. (2017). Iterative solution of symmetric quasi-definite linear systems.
Book chapters (1)
- 2010
  - Audet, C., Dang, C.-K., & Orban, D. (2010). Algorithmic parameter optimization of the DFO method with the OPAL framework. In Naono, K., Teranishi, K., Cavazos, J., & Suda, R. (eds.), Software Automatic Tuning: From Concepts to State-of-the-Art Results (pp. 255-274).
Reports (87)
- 2024
  - Diouane, Y., Gürol, S., Mouhtal, O., & Orban, D. (2024). An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems. (Technical Report 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. (Technical Report n° G-2024-30).
  - Leconte, G., & Orban, D. (2024). An interior-point trust-region method for nonsmooth regularized bound-constrained optimization. (Technical Report n° G-2024-17).
  - Diouane, Y., Golier, M., & Orban, D. (2024). A nonsmooth exact penalty method for equality-constrained optimization : complexity and implementation. (Technical Report n° G-2024-55).
  - Diouane, Y., Laghdaf Habiboullah, M., & Orban, D. (2024). A proximal modified quasi-Newton method for nonsmooth regularized optimization. (Technical Report n° G-2024-64).
  - Aravkin, A., Baraldi, R., & Orban, D. (2024). A proximal quasi-Newton trust-region method for nonsmooth regularized optimization. (Technical Report n° G-2021-12).
  - Diouane, Y., Laghdaf Habiboullah, M., & Orban, D. (2024). Complexity of trust-region methods in the presence of unbounded Hessian approximations. (Technical Report 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. (Technical Report n° G-2021-12-SM).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2024). JSOSuite.jl: Solving continuous optimization problems with JuliaSmoothOptimizers. (Technical Report n° G-2024-52).
  - Fowkes, J., Lister, A., Montoison, A., & Orban, D. (2024). LibHSL : the ultimate collection for large-scale scientific computation. (Technical Report n° G-2024-06).
  - Leconte, G., & Orban, D. (2024). RipQP: A multi-precision regularized predictor-corrector method for convex quadratic optimization. (Technical Report n° G-2021-03).
- 2023
  - Bigeon, J., Orban, D., & Raynaud, P. (2023). A framework around limited-memory partitioned quasi-Newton methods. (Technical Report n° G-2023-17).
  - Monnet, D., & Orban, D. (2023). A multi-precision quadratic regularization method for unconstrained optimization with rouding error analysis. (Technical Report n° G-2023-18).
  - Leconte, G., & Orban, D. (2023). Complexity of trust-region with unbounded Hessian approximations for smooth and nonsmooth optimization. (Technical Report n° G-2023-65).
  - Montoison, A., & Orban, D. (2023). Krylov.jl: A Julia basket of hand-picked Krylov methods. (Technical Report n° G-2022-50).
  - Montoison, A., Orban, D., & Saunders, M. A. (2023). MinAres : an iterative solver for symmetric linear systems. (Technical Report n° G-2023-40).
  - Raynaud, P., Orban, D., & Bigeon, J. (2023). Partially-separable loss to parallellize partitioned neural network training. (Technical Report n° G-2023-36).
  - Raynaud, P., Orban, D., & Bigeon, J. (2023). PLSR1 : a limited-memory partioned quasi-Newton optimizer for partially-separable loss functions. (Technical Report n° G-2023-41).
  - Leconte, G., & Orban, D. (2023). The indefinite proximal gradient method. (Technical Report n° G-2023-37).
- 2022
  - Aravkin, A., Baraldi, R., & Orban, D. (2022). A Levenberg-Marquardt method for nonsmooth regularized least squares. (Technical Report 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. (Technical Report n° G-2022-25).
  - Lakhmiri, D., Orban, D., & Lodi, A. (2022). A stochastic proximal method for nonsmooth regularized finite sum optimization. (Technical Report n° G-2022-27).
  - Orban, D. (2022). Computing a sparse projection into a box. (Technical Report 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. (Technical Report n° G-2022-35).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2022). PDENLPModels.jl: An NLPModel API for optimization problems with PDE-constraints. (Technical Report n° G-2022-42).
- 2021
  - Ma, D., Orban, D., & Saunders, M. A. (2021). A Julia implementation of Algorithm NCL for constrained optimization. (Technical Report n° 2021-02).
  - Migot, T., Orban, D., & Soares Siquiera, A. (2021). DCISolver.jl: A Julia solver for nonlinear optimization using dynamic control of infeasibility. (Technical Report n° G-2021-67).
  - Montoison, A., & Orban, D. (2021). GPMR: An iterative method for unsymmetric partitioned linear systems. (Technical Report n° G-2021-62).
  - Lotfi, S., Orban, D., & Lodi, A. (2021). Stochastic adaptive regularization with dynamic sampling for machine learning. (Technical Report n° G-2020-51).
  - Montoison, A., & Orban, D. (2021). TriCG and TriMR: Two iterative methods for symmetric and quasi-definite systems. (Technical Report 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. (Technical Report n° G-2020-37).
  - Angla, C., Bigeon, J., & Orban, D. (2020). Modeling and solving bundle adjustment problems. (Technical Report 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. (Technical Report n° 2020-52).
- 2019
  - Orban, D., & Siqueira, A. S. (2019). A regularization method for constrained nonlinear least squares. (Technical Report n° G-2019-17).
  - Montoison, A., & Orban, D. (2019). BiLQ: An iterative method for nonsymmetric linear systems with a quasi-minimum property. (Technical Report n° G-2019-71).
  - di Serafino, D., & Orban, D. (2019). Constraint-preconditioned Krylov solvers for regularized saddle-point systems. (Technical Report).
  - 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. (Technical Report 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. (Technical Report 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. (Technical Report n° G-2019-04).
  - Mestdagh, G., Goussard, Y., & Orban, D. (2019). Scaled projected-directions methods with application to transmission tomography. (Technical Report n° G-2019-60).
- 2018
  - Dehghani, M., Lambe, A., & Orban, D. (2018). A regularized interior-point method for constrained linear least squares. (Technical Report n° G-2018-07).
  - Buttari, A., Orban, D., Ruiz, D., & Titley-Peloquin, D. (2018). A tridiagonalization method for symmetric saddle-point and quasi-definitive system. (Technical Report 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. (Technical Report n° G-2018-40).
  - Dahito, M.-A., & Orban, D. (2018). The conjugate residual method in linesearch and trust-region methods. (Technical Report 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. (Technical Report n° G-2017-70).
  - Goussard, Y., McLaughlin, M., & Orban, D. (2017). Factorization-free methods for computed tomography. (Technical Report 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. (Technical Report n° G-2017-05).
  - Côté, P., Demeester, K., Orban, D., & Towhidi, M. (2017). Numerical methods for stochastic dynamic programming with application to hydropower optimization. (Technical Report n° G-2017-64).
  - Ma, D., Judd, K., Orban, D., & Saunders, M. A. (2017). Stabilized optimization via an NCL algorithm. (Technical Report n° G-2017-108).
- 2016
  - Arreckx, S., & Orban, D. (2016). A Regularized Factorization-Free Method for Equality-Constrained Optimization. (Technical Report n° G-2016-65).
  - Estrin, R., Orban, D., & Saunders, M. A. (2016). Estimates of the 2-Norm Forward Error for SYMMLQ and CG. (Technical Report n° G-2016-70).
  - Arreckx, S., Orban, D., & Van Omme, N. (2016). NLP.py: An object-oriented environment for large-scale optimization. (Technical Report n° G-2016-42).
- 2015
  - Orban, D. (2015). A Collection of Linear Systems Arising from Interior-Point Methods for Quadratic Optimization. (Technical Report n° G-2015-117).
  - Dussault, J.-P., & Orban, D. (2015). A Scalable Implementation of Adaptive Cubic Regularization Methods Using Shifted Linear Systems. (Technical Report n° G-2015-109).
- 2014
  - Arreckx, S., Lambe, A., Martins, J. R. R. A., & Orban, D. (2014). A matrix-free augmented Lagrangian algorithm with application to large-scale structural design optimization. (Technical Report n° G-2014-71).
  - Orban, D. (2014). The Projected Golub-Kahan Process for Constrained Linear Least-Squares Problems. (Technical Report n° G-2014-15).
- 2013
  - Gould, N., Orban, D., & Toint, P. (2013). CUTEst: A Constrained and Unconstrained Testing Environment with Safe Threads. (Technical Report n° G-2013-27).
  - Arioli, M., & Orban, D. (2013). Iterative Methods for Symmetric Quasi-Definite Linear Systems--Part I: Theory. (Technical Report n° G-2013-32).
  - Orban, D. (2013). Limited-Memory LDL⊤ Factorization of Symmetric Quasi-Definite Matrices. (Technical Report n° G-2013-87).
  - Gould, N., Orban, D., & Rees, T. (2013). Projected Krylov Methods for Saddle-Point Systems. (Technical Report n° G-2013-23).
- 2012
  - Dehghani, A., Goffin, J.-L., & Orban, D. (2012). A Primal-Dual Regularized Interior-Point Method for Semidefinite Programming. (Technical Report n° G-2012-12).
  - Greif, C., Moulding, E., & Orban, D. (2012). Bounds on Eigenvalues of Matrices Arising from Interior-Point Methods. (Technical Report n° G-2012-42).
  - Towhidi, M., & Orban, D. (2012). Customizing the Solution Process of COIN-OR's Linear Solvers with Python. (Technical Report n° G-2012-07).
  - Audet, C., Dang, K.-C., & Orban, D. (2012). Optimization of Algorithms with OPAL. (Technical Report n° G-2012-08).
  - Dehghani, A., Goffin, J.-L., & Orban, D. (2012). Solving Unconstrained Nonlinear Programs Using ACCPM. (Technical Report n° G-2012-02).
- 2011
  - Coulibaly, Z., & Orban, D. (2011). An ℓ₁ Elastic Interior-Point Method for Mathematical Programs with Complementarity Constraints. (Technical Report n° G-2009-74).
  - Friedlander, M. P., & Orban, D. (2011). A Primal-Dual Regularized Interior-Point Method for Convex Quadratic Programs. (Technical Report n° G-2010-47).
  - Audet, C., Dang, K.-C., & Orban, D. (2011). Efficient Use of Parallelism in Algorithmic Parameter Optimization Applications. (Technical Report n° G-2011-03).
  - Armand, P., Benoist, J., & Orban, D. (2011). From Global to Local Convergence of Interior Methods for Nonlinear Optimization. (Technical Report n° G-2008-59).
  - Orban, D. (2011). Templating and Automatic Code Generation for Performance with Python. (Technical Report n° G-2011-30).
  - Gould, N. I. M., Orban, D., & Robinson, D. P. (2011). Trajectory-Following Methods for Large-Scale Degenerate Convex Quadratic Programming. (Technical Report n° G-2011-50).
- 2010
  - Audet, C., Dang, K.-C., & Orban, D. (2010). Algorithmic Parameter Optimization of the DFO Method with the OPAL Framework. (Technical Report n° G-2010-02).
  - Gould, N., Orban, D., & Toint, P. (2010). An Interior-Point l1-Penalty Method for Nonlinear Optimization. (Technical Report n° G-2010-38).
- 2009
  - Orban, D. (2009). The Lightning AMPL Tutorial. A Guide for Nonlinear Optimization Users. (Technical Report n° G-2009-66).
- 2008
  - Raymond, V., Soumis, F., & Orban, D. (2008). A New Version of the Improved Primal Simplex for Degenerate Linear Programs. (Technical Report n° G-2008-66).
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2008). LANCELOT_SIMPLE: A Simple Interface for LANCELOT-B. (Technical Report n° G-2008-11).
  - Armand, P., Kiselev, A., Marcotte, O., Orban, D., & Zalzal, V. (2008). Nonlinear Continuous Deformation of an Image Based on a Set of Coplanar Straight Lines. (Technical Report n° G-2008-58).
  - Orban, D. (2008). Projected Krylov Methods for Unsymmetric Augmented Systems. (Technical Report n° G-2008-46).
- 2007
  - Fourer, R., Maheshwari, C., Neumaier, A., Orban, D., & Schichl, H. (2007). Convexity and Concavity Detection in Computational Graphs. Tree Walks for Convexity Proving. (Technical Report n° G-2007-90).
  - Fourer, R., & Orban, D. (2007). DrAmpl - A meta solver for optimization. (Technical Report n° G-2007-10).
  - Armand, P., & Orban, D. (2007). The Squared Slacks Transformation in Nonlinear Programming. (Technical Report n° G-2007-62).
- 2005
  - Armand, P., Benoist, J., & Orban, D. (2005). Interpretation of Nonlinear Interior Methods as Damped Newton Methods. (Technical Report n° G-2005-80).
- 2004
  - Audet, C., & Orban, D. (2004). Finding Optimal Algorithmic Parameters Using the Mesh Adaptive Direct Search Algorithm. (Technical Report n° G-2004-96).
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2004). Numerical Methods for Large-Scale Nonlinear Optimization. (Technical Report n° G-2004-85).
  - Gould, N. I. M., Orban, D., Sartenaer, A., & Toint, P. L. (2004). Sensitivity of Trust-Region Algorithms on their Parameters. (Technical Report n° G-2004-86).
- 2002
  - Gould, N. I. M., Orban, D., & Toint, P. L. (2002). Results from a Numerical Evaluation of LANCELOT B. (Technical Report n° NAGIR-2002-1).
Datasets (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' [Dataset].
- 2015
  - Orban, D. (2015). Sqd-Collection: Initial Release [Dataset].

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Orban, Dominique

Directory of Experts

Orban, Dominique

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Dominique Orban (160)