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di Serafino, D., & Orban, D. (2021). Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. SIAM Journal on Scientific Computing, 43(2), 1001-1026. Lien externe
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. Lien externe
Lotfi, S., Orban, D., & Lodi, A. (2021). Stochastic adaptive regularization with dynamic sampling for machine learning. (Rapport technique n° G-2020-51). Lien externe
Ma, D., Orban, D., & Saunders, M. A. (2021). A Julia implementation of Algorithm NCL for constrained optimization. (Rapport technique n° 2021-02). Lien externe
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. Lien externe
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). Lien externe
Montoison, A., & Orban, D. (2021). GPMR: An iterative method for unsymmetric partitioned linear systems. (Rapport technique n° G-2021-62). Lien externe
Montoison, A., & Orban, D. (2021). TriCG and TriMR: Two iterative methods for symmetric and quasi-definite systems. (Rapport technique n° G-2020-41). Lien externe
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. Lien externe
