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Generalized Stationary Points and an Interior Point Method for MPEC

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dc.creator Liu, Xinwei
dc.creator Sun, Jie
dc.date 2003-11-17T17:27:36Z
dc.date 2003-11-17T17:27:36Z
dc.date 2003-01
dc.date.accessioned 2013-10-09T02:32:04Z
dc.date.available 2013-10-09T02:32:04Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/3701
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Mathematical program with equilibrium constraints (MPEC)has extensive applications in practical areas such as traffic control, engineering design, and economic modeling. Some generalized stationary points of MPEC are studied to better describe the limiting points produced by interior point methods for MPEC.A primal-dual interior point method is then proposed, which solves a sequence of relaxed barrier problems derived from MPEC. Global convergence results are deduced without assuming strict complementarity or linear independence constraint qualification. Under very general assumptions, the algorithm can always find some point with strong or weak stationarity. In particular, it is shown that every limiting point of the generated sequence is a piece-wise stationary point of MPEC if the penalty parameter of the merit function is bounded. Otherwise, a certain point with weak stationarity can be obtained. Preliminary numerical results are satisfactory, which include a case analyzed by Leyffer for which the penalty interior point algorithm failed to find a stationary solution.
dc.description Singapore-MIT Alliance (SMA)
dc.format 183424 bytes
dc.format application/pdf
dc.language en_US
dc.relation High Performance Computation for Engineered Systems (HPCES);
dc.subject equilibrium constraints
dc.subject global convergence
dc.subject interior point methods
dc.subject strict complementarity
dc.subject variational inequality problems
dc.title Generalized Stationary Points and an Interior Point Method for MPEC
dc.type Article


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