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Nonsmooth Newton’s Method and Semidefinite Optimization

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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

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