Nonsmooth Newton’s Method and Semidefinite Optimization

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3704

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DC Field	Value	Language
dc.creator	Sun, Jie	-
dc.date	2003-11-19T20:45:13Z	-
dc.date	2003-11-19T20:45:13Z	-
dc.date	2003-01	-
dc.date.accessioned	2013-10-09T02:32:05Z	-
dc.date.available	2013-10-09T02:32:05Z	-
dc.date.issued	2013-10-09	-
dc.identifier	http://hdl.handle.net/1721.1/3704	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	We introduce basic ideas of a nonsmooth Newton’s method and its application in solving semidefinite optimization (SDO) problems. In particular, the method can be used to solve both linear and nonlinear semidefinite complementarity problems. We also survey recent theoretical results in matrix functions and stability of SDO that are stemed from the research on the matrix form of the nonsmooth Newton’s method.	-
dc.description	Singapore-MIT Alliance (SMA)	-
dc.format	102412 bytes	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	High Performance Computation for Engineered Systems (HPCES);	-
dc.subject	semismooth functions	-
dc.subject	semidefinite optimization	-
dc.subject	Newton’s method	-
dc.subject	complementarity problems	-
dc.subject	stability	-
dc.subject	variational inequality	-
dc.title	Nonsmooth Newton’s Method and Semidefinite Optimization	-
dc.type	Article	-
Appears in Collections:	MIT Items

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