Classical and Relaxed Optimization Methods for Nonlinear Parabolic Optimal Control Problems

Chryssoverghi, I; Coletsos, J; Kokkinis, B

dc.contributor.author	Chryssoverghi, I	en
dc.contributor.author	Coletsos, J	en
dc.contributor.author	Kokkinis, B	en
dc.date.accessioned	2014-03-01T02:51:52Z
dc.date.available	2014-03-01T02:51:52Z
dc.date.issued	2009	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35701
dc.subject	Control Problem	en
dc.subject	Distributed Optimization	en
dc.subject	Gradient Projection Method	en
dc.subject	Numerical Solution	en
dc.subject	Optimal Control Problem	en
dc.subject	Optimal Method	en
dc.subject	Parabolic Partial Differential Equation	en
dc.subject	State Constraints	en
dc.title	Classical and Relaxed Optimization Methods for Nonlinear Parabolic Optimal Control Problems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-12535-5_28	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-12535-5_28	en
heal.publicationDate	2009	en
heal.abstract	A distributed optimal control problem is considered, for systems defined by parabolic partial differential equations. The state equations are nonlinear w.r.t. the state and the control, and the state constraints and cost depend also on the state gradient. The problem is first formulated in the classical and in the relaxed form. Various necessary conditions for optimality are given for both	en
heal.journalName	Large-Scale Scientific Computing	en
dc.identifier.doi	10.1007/978-3-642-12535-5_28	en