MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Singapore-MIT Alliance (SMA)
  • High Performance Computation for Engineered Systems (HPCES)
  • View Item
  • DSpace@MIT Home
  • Singapore-MIT Alliance (SMA)
  • High Performance Computation for Engineered Systems (HPCES)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Nonsmooth Newton’s Method and Semidefinite Optimization

Author(s)
Sun, Jie
Thumbnail
DownloadHPCES016.pdf (100.0Kb)
Metadata
Show full item record
Abstract
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.
Date issued
2003-01
URI
http://hdl.handle.net/1721.1/3704
Series/Report no.
High Performance Computation for Engineered Systems (HPCES);
Keywords
semismooth functions, semidefinite optimization, Newton’s method, complementarity problems, stability, variational inequality

Collections
  • High Performance Computation for Engineered Systems (HPCES)

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.