Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties
The elastic-mode formulation of the problem of minimizing a nonlinear function subject to equilibrium constraints has appealing local properties in that, for a finite value of the penalty parameter, local solutions satisfying first- and second-order necessary optimality conditions for the original p...
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Published in | Mathematical programming Vol. 110; no. 2; pp. 337 - 371 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Springer
01.07.2007
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | The elastic-mode formulation of the problem of minimizing a nonlinear function subject to equilibrium constraints has appealing local properties in that, for a finite value of the penalty parameter, local solutions satisfying first- and second-order necessary optimality conditions for the original problem are also first- and second-order points of the elastic-mode formulation. Here we study global convergence properties of methods based on this formulation, which involve generating an (exact or inexact) first- or second-order point of the formulation, for nondecreasing values of the penalty parameter. Under certain regularity conditions on the active constraints, we establish finite or asymptotic convergence to points having a certain stationarity property (such as strong stationarity, M-stationarity, or C-stationarity). Numerical experience with these approaches is discussed. In particular, our analysis and the numerical evidence show that exact complementarity can be achieved finitely even when the elastic-mode formulation is solved inexactly. [PUBLICATION ABSTRACT] |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 USDOE Office of Science (SC) National Science Foundation (NSF) ANL/MCS/JA-53134 DE-AC02-06CH11357 |
ISSN: | 0025-5610 1436-4646 |
DOI: | 10.1007/s10107-006-0005-4 |