A primal-dual trust-region algorithm for non-convex nonlinear programming. - Andrew R. Conn; Nicholas I. M. Gould; Dominique Orban; Philippe L. Toint (Math. Program., 2000)

Superlinear Convergence of Primal-Dual Interior Point Algorithms for Nonlinear Programming. - Nicholas I. M. Gould; Dominique Orban; Annick Sartenaer; Philippe L. Toint (SIAM J. Optim., 2001)

Properties of the Log-Barrier Function on Degenerate Nonlinear Programs. - Stephen J. Wright 001; Dominique Orban (Math. Oper. Res., 2002)

Componentwise fast convergence in the solution of full-rank systems of nonlinear equations. - Nicholas I. M. Gould; Dominique Orban; Annick Sartenaer; Philippe L. Toint (Math. Program., 2002)

GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization. - Nicholas I. M. Gould; Dominique Orban; Philippe L. Toint (ACM Trans. Math. Softw., 2003)

CUTEr and SifDec: A constrained and unconstrained testing environment, revisited. - Nicholas I. M. Gould; Dominique Orban; Philippe L. Toint (ACM Trans. Math. Softw., 2003)

Sensitivity of trust-region algorithms to their parameters. - Nicholas I. M. Gould; Dominique Orban; Annick Sartenaer; Philippe L. Toint (4OR, 2005)

An interior algorithm for nonlinear optimization that combines line search and trust region steps. - Richard A. Waltz; José Luis Morales; Jorge Nocedal; Dominique Orban (Math. Program., 2006)

Finding Optimal Algorithmic Parameters Using Derivative-Free Optimization. - Charles Audet; Dominique Orban (SIAM J. Optim., 2006)

Dynamic updates of the barrier parameter in primal-dual methods for nonlinear programming. - Paul Armand; Joël Benoist; Dominique Orban (Comput. Optim. Appl., 2008)

Algorithmic Parameter Optimization of the DFO Method with the OPAL Framework. - Charles Audet; Cong-Kien Dang; Dominique Orban (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

DrAmpl: a meta solver for optimization problem analysis. - Robert Fourer; Dominique Orban (Comput. Manag. Sci., 2010)

A new version of the Improved Primal Simplex for degenerate linear programs. - Vincent Raymond; François Soumis; Dominique Orban (Comput. Oper. Res., 2010)

Convexity and Concavity Detection in Computational Graphs: Tree Walks for Convexity Assessment. - Robert Fourer; Chandrakant Maheshwari; Arnold Neumaier; Dominique Orban; Hermann Schichl (INFORMS J. Comput., 2010)

A primal-dual regularized interior-point method for convex quadratic programs. - Michael P. Friedlander; Dominique Orban (Math. Program. Comput., 2012)

An 1 Elastic Interior-Point Method for Mathematical Programs with Complementarity Constraints. - Zoumana Coulibaly; Dominique Orban (SIAM J. Optim., 2012)

Trajectory-following methods for large-scale degenerate convex quadratic programming. - Nicholas I. M. Gould; Dominique Orban; Daniel P. Robinson (Math. Program. Comput., 2013)

Efficient use of parallelism in algorithmic parameter optimization applications. - Charles Audet; Cong-Kien Dang; Dominique Orban (Optim. Lett., 2013)

From global to local convergence of interior methods for nonlinear optimization. - Paul Armand; Joël Benoist; Dominique Orban (Optim. Methods Softw., 2013)

Optimization of algorithms with OPAL. - Charles Audet; Kien-Cong Dang; Dominique Orban (Math. Program. Comput., 2014)

Bounds on Eigenvalues of Matrices Arising from Interior-Point Methods. - Chen Greif; Erin Moulding; Dominique Orban (SIAM J. Optim., 2014)

Projected Krylov Methods for Saddle-Point Systems. - Nicholas I. M. Gould; Dominique Orban; Tyrone Rees (SIAM J. Matrix Anal. Appl., 2014)

CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization. - Nicholas I. M. Gould; Dominique Orban; Philippe L. Toint (Comput. Optim. Appl., 2015)

Limited-memory LDL⊤ factorization of symmetric quasi-definite matrices with application to constrained optimization. - Dominique Orban (Numer. Algorithms, 2015)

Customizing the solution process of COIN-OR's linear solvers with Python. - Mehdi Towhidi; Dominique Orban (Math. Program. Comput., 2016)

A primal-dual regularized interior-point method for semidefinite programming. - A. Dehghani; Jean-Louis Goffin; Dominique Orban (Optim. Methods Softw., 2017)

A Regularized Factorization-Free Method for Equality-Constrained Optimization. - Sylvain Arreckx; Dominique Orban (SIAM J. Optim., 2018)

The Conjugate Residual Method in Linesearch and Trust-Region Methods. - Marie-Ange Dahito; Dominique Orban (SIAM J. Optim., 2019)

Euclidean-Norm Error Bounds for SYMMLQ and CG. - Ron Estrin; Dominique Orban; Michael A. Saunders (SIAM J. Matrix Anal. Appl., 2019)

LSLQ: An Iterative Method for Linear Least-Squares with an Error Minimization Property. - Ron Estrin; Dominique Orban; Michael A. Saunders (SIAM J. Matrix Anal. Appl., 2019)

LNLQ: An Iterative Method for Least-Norm Problems with an Error Minimization Property. - Ron Estrin; Dominique Orban; Michael A. Saunders (SIAM J. Matrix Anal. Appl., 2019)

A Tridiagonalization Method for Symmetric Saddle-Point Systems. - Alfredo Buttari; Dominique Orban; Daniel Ruiz; David Titley-Péloquin (SIAM J. Sci. Comput., 2019)

A regularization method for constrained nonlinear least squares. - Dominique Orban; Abel Soares Siqueira (Comput. Optim. Appl., 2020)

Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation. - Sanae Lotfi; Tiphaine Bonniot de Ruisselet; Dominique Orban; Andrea Lodi 001 (CoRR, 2020)

A regularized interior-point method for constrained linear least squares. - Mohsen Dehghani; Andrew Lambe; Dominique Orban (INFOR Inf. Syst. Oper. Res., 2020)

BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property. - Alexis Montoison; Dominique Orban (SIAM J. Matrix Anal. Appl., 2020)

Implementing a Smooth Exact Penalty Function for Equality-Constrained Nonlinear Optimization. - Ron Estrin; Michael P. Friedlander; Dominique Orban; Michael A. Saunders (SIAM J. Sci. Comput., 2020)

Implementing a Smooth Exact Penalty Function for General Constrained Nonlinear Optimization. - Ron Estrin; Michael P. Friedlander; Dominique Orban; Michael A. Saunders (SIAM J. Sci. Comput., 2020)

A Julia implementation of Algorithm NCL for constrained optimization. - Ding Ma 003; Dominique Orban; Michael A. Saunders (CoRR, 2021)

Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning. - Sanae Lotfi; Tiphaine Bonniot de Ruisselet; Dominique Orban; Andrea Lodi 001 (CoRR, 2021)

TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-definite Systems. - Alexis Montoison; Dominique Orban (SIAM J. Sci. Comput., 2021)

Constraint-Preconditioned Krylov Solvers for Regularized Saddle-Point Systems. - Daniela di Serafino; Dominique Orban (SIAM J. Sci. Comput., 2021)

Computing a Sparse Projection into a Box. - Dominique Orban (CoRR, 2022)

A semi-conjugate gradient method for solving unsymmetric positive definite linear systems. - Na Huang; Yu-Hong Dai; Dominique Orban; Michael A. Saunders (CoRR, 2022)

A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization. - Dounia Lakhmiri; Dominique Orban; Andrea Lodi 001 (CoRR, 2022)

DCISolver.jl: A Julia Solver for Nonlinear Optimization using Dynamic Control of Infeasibility. - Tangi Migot; Dominique Orban; Abel Soares Siqueira (J. Open Source Softw., 2022)

Linear systems arising in interior methods for convex optimization: a symmetric formulation with bounded condition number. - Alexandre Ghannad; Dominique Orban; Michael A. Saunders (Optim. Methods Softw., 2022)

A Proximal Quasi-Newton Trust-Region Method for Nonsmooth Regularized Optimization. - Aleksandr Y. Aravkin; Robert J. Baraldi; Dominique Orban (SIAM J. Optim., 2022)

PDENLPModels.jl: An NLPModel API for Optimization Problems with PDE-Constraints. - Tangi Migot; Dominique Orban; Abel Soares Siqueira (J. Open Source Softw., 2022)

GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems. - Alexis Montoison; Dominique Orban (SIAM J. Matrix Anal. Appl., 2023)

Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems. - Na Huang; Yu-Hong Dai; Dominique Orban; Michael A. Saunders (Optim. Methods Softw., 2023)

Krylov.jl: A Julia basket of hand-picked Krylov methods. - Alexis Montoison; Dominique Orban (J. Open Source Softw., 2023)

On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. - Na Huang; Yu-Hong Dai; Dominique Orban; Michael A. Saunders (SIAM J. Sci. Comput., 2023)

Primal-Dual iLQR. - João Sousa Pinto; Dominique Orban (CoRR, 2024)

An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems. - Na Huang; Yu-Hong Dai; Dominique Orban; Michael A. Saunders (CoRR, 2024)

An efficient algorithm for solving linear equality-constrained LQR problems. - João Sousa Pinto; Dominique Orban (CoRR, 2024)

A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization. - Youssef Diouane; Mohamed Laghdaf Habiboullah; Dominique Orban (CoRR, 2024)

An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. - Youssef Diouane; Selime Gürol; Oussama Mouhtal; Dominique Orban (CoRR, 2024)

A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares. - Aleksandr Y. Aravkin; Robert J. Baraldi; Dominique Orban (SIAM J. Sci. Comput., 2024)

Scalable adaptive cubic regularization methods. - Jean-Pierre Dussault; Tangi Migot; Dominique Orban (Math. Program., 2024)

MinAres: An Iterative Solver for Symmetric Linear Systems. - Alexis Montoison; Dominique Orban; Michael A. Saunders (SIAM J. Matrix Anal. Appl., 2025)

The indefinite proximal gradient method. - Geoffroy Leconte; Dominique Orban (Comput. Optim. Appl., 2025)

Primal-Dual iLQR for GPU-Accelerated Learning and Control in Legged Robots. - Lorenzo Amatucci; João Sousa Pinto; Giulio Turrisi; Dominique Orban; Victor Barasuol; Claudio Semini (CoRR, 2025)

A multi-precision quadratic regularization method for unconstrained optimization with rounding error analysis. - Dominique Monnet; Dominique Orban (Comput. Optim. Appl., 2025)