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ZERO DUALITY GAP FOR CONVEX PROGRAMS: A GENERAL RESULT
This article addresses a general criterion providing a zero duality gap for convex programs in the setting of the real locally convex spaces. The main theorem of our... -
CONTINUOUS CONVEX SETS AND ZERO DUALITY GAP FOR CONVEX PROGRAMS
This article uses classical notions of convex analysis over euclidean spaces, like Gale & Klee's boundary rays and asymptotes of a convex set, or the inner... -
A constrained optimization approach for form-finding of tensegrity structures...
International audience -
Une conception néo-poppérienne de l'explication en sciences sociales et ses d...
Cahier de Recherche du Groupe HEC n° 960/2012 -
The Automatic Dynamic Penalisation (ADP) Constraint-Handling Technique for En...
In this paper we present a new penalty-based approach, developed within the framework of Genetic Algorithms (GAs) for constrained optimisation problems. The proposed... -
Incremental Model-Based Estimation Using Geometric Consistency Constraints
W e present a physics-based deformable model framework for the incremental object shape estimation and tracking in image sequences. The model is estimated by an... -
A Robust Multiple Hypothesis Approach to Monocular Human Motion Tracking
We study the problem of articulated 3D human motion tracking in monocular video sequences. Addressing problems related to unconstrained scene structure, uncertainty,... -
A BFGS-IP algorithm for solving strongly convex optimization problems with fe...
This paper introduces and analyses a new algorithm for minimizing a convex function subject to a finite number of convex inequality constraints. It is assumed that the... -
A feasible BFGS interior point algorithm for solving strongly convex minimiza...
We propose a BFGS primal-dual interior point method for minimizing a convex function on a convex set defined by equality and inequality constraints. The algorithm... -
Optimization Problems with perturbations : A Guided Tour
Projet PROMATH -
Optimization of Positive Generalized Polynomials under $l^p$ Constraints
The problem of maximizing a non-negative generalized polynomial of degree at most $p$ on the $l_p$-sphere is shown to be equivalent to a concave one. Arguments where... -
Constraints Derivative-Free Optimization : two industrial applications in res...
Optimization takes place in many IFPEN applications: for instance estimation of parameters of numerical models from experimental data in geosciences or for engine... -
Local path-following property of inexact interior methods in nonlinear progra...
International audience -
First-order rules for nonsmooth constrained optimization
International audience -
Asymptotic behavior of second-order dissipative evolution equations combining...
International audience
