On the identification of active constraints
SIAM Journal on Numerical Analysis
Finite convergence of algorithms for nonlinear programs and variational inequalities
Journal of Optimization Theory and Applications
Identifiable surfaces in constrained optimization
SIAM Journal on Control and Optimization
First-order conditions for isolated locally optimal solutions
Journal of Optimization Theory and Applications
Generalized Hessian Properties of Regularized Nonsmooth Functions
SIAM Journal on Optimization
Active Sets, Nonsmoothness, and Sensitivity
SIAM Journal on Optimization
Functions and Sets of Smooth Substructure: Relationships and Examples
Computational Optimization and Applications
Accelerated Block-coordinate Relaxation for Regularized Optimization
SIAM Journal on Optimization
Hi-index | 0.00 |
The minimization of an objective function over a constraint set can often be simplified if the "active manifold" of the constraints set can be correctly identified. In this work we present a simple subproblem, which can be used inside of any (convergent) optimization algorithm, that will identify the active manifold of a "prox-regular partly smooth" constraint set in a finite number of iterations.