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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. Lien externe
Aravkin, A., Baraldi, R., & Orban, D. (2022). A Levenberg-Marquardt method for nonsmooth regularized least squares. (Rapport technique n° G-2022-58). Lien externe
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). Lien externe
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). Lien externe
Lakhmiri, D., Orban, D., & Lodi, A. (2022). A stochastic proximal method for nonsmooth regularized finite sum optimization. (Rapport technique n° G-2022-27). Lien externe
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), 3991 (4 pages). Disponible
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. Disponible
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). Lien externe
Orban, D. (2022). Computing a sparse projection into a box. (Rapport technique n° G-2022-12). Lien externe
Raynaud, P., & Orban, D. (septembre 2023). Limited-memory stochastic partitioned quasi-newton training [Affiche]. Edge Intelligence Workshop, Montreal, Qc, Canada (1 page). Lien externe
