AbstractThis research provides sufficient conditions for Lipschitz continuity and directional differentiability of the solutions and the Lagrange multipliers of constraint nonlinear programming problems in Hilbert spaces. The abstract results are applied to problems in optimal control and parameter estimation
This paper considers a parametric global optimization constrained and unconstrained problem in a rea...
The authors analyze the sensitivity of optimal values and optimal sets of finite dimensional optimiz...
Using a directional form of constraint qualification weaker than Robinson's, we derive an implicit f...
A sensitivity result for cone-constrained optimization problem in abstract Hilbert spaces is obtaine...
In a series of the recent papers of the author, it was shown that the solutions and Lagrange multipl...
Many nonlinear optimal control and estimation problems can be formulated as Tikhonov variational pro...
This talk deals with stability and sensitiv-ity analysis for optimal control problems of an ordinary...
AbstractWe study properties of the solutions to a parametrized constrained optimization problem in H...
We present a perturbation theory for finite dimensional optimization problems subject to abstract co...
International audienceIn this paper we investigate the sensitivity analysis of parameterized nonline...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
We consider a nonlinear optimal control problem governed by a nonlinear evolution inclusion and depe...
We study properties of the solutions to a parametrized constrained optimization problem in Hilbert s...
Dafermos [1] studied the sensitivity properties of solutions of a variational inequality with respec...
The constraint programming community has recently begun to address certain types of optimization pro...
This paper considers a parametric global optimization constrained and unconstrained problem in a rea...
The authors analyze the sensitivity of optimal values and optimal sets of finite dimensional optimiz...
Using a directional form of constraint qualification weaker than Robinson's, we derive an implicit f...
A sensitivity result for cone-constrained optimization problem in abstract Hilbert spaces is obtaine...
In a series of the recent papers of the author, it was shown that the solutions and Lagrange multipl...
Many nonlinear optimal control and estimation problems can be formulated as Tikhonov variational pro...
This talk deals with stability and sensitiv-ity analysis for optimal control problems of an ordinary...
AbstractWe study properties of the solutions to a parametrized constrained optimization problem in H...
We present a perturbation theory for finite dimensional optimization problems subject to abstract co...
International audienceIn this paper we investigate the sensitivity analysis of parameterized nonline...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
We consider a nonlinear optimal control problem governed by a nonlinear evolution inclusion and depe...
We study properties of the solutions to a parametrized constrained optimization problem in Hilbert s...
Dafermos [1] studied the sensitivity properties of solutions of a variational inequality with respec...
The constraint programming community has recently begun to address certain types of optimization pro...
This paper considers a parametric global optimization constrained and unconstrained problem in a rea...
The authors analyze the sensitivity of optimal values and optimal sets of finite dimensional optimiz...
Using a directional form of constraint qualification weaker than Robinson's, we derive an implicit f...
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