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dc.contributor.authorSun, Jie
dc.date.accessioned2003-11-19T20:45:13Z
dc.date.available2003-11-19T20:45:13Z
dc.date.issued2003-01
dc.identifier.urihttp://hdl.handle.net/1721.1/3704
dc.description.abstractWe 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.en
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent102412 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesHigh Performance Computation for Engineered Systems (HPCES);
dc.subjectsemismooth functionsen
dc.subjectsemidefinite optimizationen
dc.subjectNewton’s methoden
dc.subjectcomplementarity problemsen
dc.subjectstabilityen
dc.subjectvariational inequalityen
dc.titleNonsmooth Newton’s Method and Semidefinite Optimizationen
dc.typeArticleen


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