Title
Newton-Type Methods for Optimization Problems without Constraint Qualifications
Abstract
We consider equality-constrained optimization problems, where a given solution may not satisfy any constraint qualification but satisfies the standard second-order sufficient condition for optimality. Based on local identification of the rank of the constraints degeneracy via the singular-value decomposition, we derive a modified primal-dual optimality system whose solution is locally unique, nondegenerate, and thus can be found by standard Newton-type techniques. Using identification of active constraints, we further extend our approach to mixed equality- and inequality-constrained problems, and to mathematical programs with complementarity constraints (MPCC). In particular, for MPCC we obtain a local algorithm with quadratic convergence under the second-order sufficient condition only, without any constraint qualifications, not even the special MPCC constraint qualifications.
Year
DOI
Venue
2004
10.1137/S1052623403427264
SIAM Journal on Optimization
Keywords
Field
DocType
constraint qualification,constraints degeneracy,special mpcc constraint qualification,local identification,second-order sufficient condition,newton-type methods,local algorithm,mathematical programs with complementarity constraints mpcc,newton method,modified primal-dual optimality system,constraint qualifications,standard newton-type technique,complementarity constraint,second-order sufficiency,optimization problems,active constraint,regularity,singular-value decom- position,optimization problem,singular value decomposition,satisfiability,quadratic convergence,singular value,second order
Complementarity (molecular biology),Singular value decomposition,Mathematical optimization,Constraint (mathematics),Degeneracy (mathematics),Local algorithm,Rate of convergence,Optimization problem,Mathematics,Newton's method
Journal
Volume
Issue
ISSN
15
1
1052-6234
Citations 
PageRank 
References 
13
0.97
26
Authors
2
Name
Order
Citations
PageRank
A. F. Izmailov123821.76
M. V. Solodov260072.47