Title     Co-authors     Destination
 
25 On the solution uniqueness characterization in the L1 norm and polyhedral gauge recovery [doi] Journal of Optimization Theory and Applications, 172:1 (2017) 70-101.
24 How the augmented Lagrangian algorithm can deal with an infeasible convex quadratic optimization problem A. Chiche Journal of Convex Analysis, 23:2 (2016) 425-459
23 Application of the moment-SOS approach to global optimization of the OPF problem C. Josz, J. Maeght, P. Panciatici IEEE Transactions on Power Systems, 30-1 (2015) 463-470
22 An algorithmic characterization of P-matricity I. Ben Gharbia SIAM Journal on Matrix Analysis and Applications, 34 (2013) 904-916
21 Nonconvergence of the plain Newton-min algorithm for linear complementarity problems with a P-matrix I. Ben Gharbia Mathematical Programming, 134 (2012) 349-364
20 LIBOPT - An environment for testing solvers on heterogeneous collections of problems X. Jonsson ACM Transactions on Mathematical Software (soumis)
19 Optimisation Différentiable [doi] Techniques de l'Ingénieur, document AF-1-252 (2008)
18 Higher order time stepping for second order hyperbolic problems and optimal CFL conditions P. Joly Partial Differential Equations, Springer, Computational Methods in Applied Sciences 16, 67-93, 2008
17 Constrained optimization in seismic reflection tomography: a Gauss-Newton augmented Lagrangian approach [doi] F. Delbos, R. Glowinski, D. Sinoquet Geophysical Journal International, 164 (2006) 670-684
16 Global linear convergence of an augmented Lagrangian algorithm for solving convex quadratic optimization problems F. Delbos Journal of Convex Analysis, 12 (2005) 45-69
15 Examples of ill-behaved central paths in convex optimization C.C. Gonzaga, E. Karas Mathematical Programming, 103 (2005) 63-94
14 A BFGS-IP algorithm for solving strongly convex optimization problems with feasibility enforced by an exact penalty approach P. Armand, S. Jan-Jégou Mathematical Programming, 92 (2002) 393-424
13 A feasible BFGS interior point algorithm for solving strongly convex minimization problems P. Armand, S. Jan-Jégou SIAM Journal on Optimization, 11 (2000) 199-222
12 A trust region method based on interior point techniques for nonlinear programming R.H. Byrd, J. Nocedal Mathematical Programming, 89 (2000) 149-185
11 A piecewise line-search technique for maintaining the positive definiteness of the matrices in the SQP method [doi] P. Armand Computational Optimization and Applications, 16 (2000) 121-158
10 On the realization of the Wolfe conditions in reduced quasi-Newton methods for equality constrained optimization SIAM Journal on Optimization, 7 (1997) 780-813
9 A family of variable metric proximal methods F. Bonnans, C. Lemaréchal, C. Sagastizábal Mathematical Programming, 68 (1995) 15-47
8 Automatic differentiation and the step computation in the limited memory BFGS method J. Nocedal Applied Mathematics Letters, 6 (1993) 47-50
7 Automatic differentiation and iterative processes Optimization Methods and Software, 1 (1992) 13-21
6 Global convergence properties of conjugate gradient methods for optimization J. Nocedal SIAM Journal on Optimization, 2 (1992) 21-42
5 Maintaining the positive definiteness of the matrices in reduced secant methods for equality constrained optimization Mathematical Programming, 50 (1991) 1-28
4 Morcad, an object-oriented molecular modelling package running on IBM RS/6000 and SGI 4Dxxx workstations [doi] M. Le Bret, J. Gabarro-Arpa, C. Lemaréchal Journal de Chimie Physique, 88 (1991) 2489-2496
3 Some numerical experiments with variable-storage quasi-Newton algorithms C. Lemaréchal Mathematical Programming, 45 (1989) 407-435
2 On the local and global convergence of a reduced quasi-Newton method Optimization, 20 (1989) 421-450
1 Mise à jour de la métrique dans les méthodes de quasi-Newton réduites en optimisation avec contraintes d'égalité Modélisation Mathématique et Analyse Numérique, 22 (1988) 251-288