TABLEoFCONTENTS
1Introduction.......................................................................................】【1.1BackgroundResearch.….…….…….…..….….………..….….….……….………….……….11.1.1TheOriginofStochasticVariationalInequality…………………………………2
1.1.2StochasticApproximationMethod...........................................................2
1.1.3SampleAverageApproximationMethod………………………………………….3
1.1.4PracticalApplications.….….……….….….…..….…..…….….…..……..…….…….41.2Preliminaries..….…..…….…..….…….…..….….….…….….….….….….….….…….………61.2.1EuclideanJordanAlgebraandSymmetricCone………………………………..6
1.2.2SecondOrderCone…..…….….….….….….…….…..…….….…..…….……..….….8
1.:!.3VariationalProblem.….….……..….….….…..….….….….….….………..….………91.3MainResearchContentofTlliSPaper…………………………………………………….102Stochasticvariationalinequalitywithpolyhedralconstraints………………………..132.1Introduction………………………………………………………………………….132.2ModelTranslation…………………………………………………………………132.2.1StochasticApproximationBasedonNewtonMethod……………………..15
2.2.2InexactStochasticApproximationBasedonNewtonMethod………….172.3SAAMethodforStochasticVariationalInequality…………………………..182.4NumericalExperiments…………………………………………………………192.5SummaryofThisChapter…………………………………………………………….213Stochasticvariationalinequalitywithsecondorderconeconstraints……………….233.1Introduction………………………………………………….……………………233.2ConvergenceAnalysis…………………………………………………………….243.2.1ModelTranslation………………………………………………………….24
3.2.2ProofofConvergence…………………………………………………………253.3ApplicationtOComplementarityandOptimization………………………….313.4NumericalExperiments…………………………………………………………..343.5SummaryofThisChapter…………………………………………………………………….404InexactSAmethodforstochasticconvexSDP..........................................................414.1Introduction....................................................................................................424.2Algorithmandconvergenceanalysis…………………………………………………….434.3Complexityandrobusttreatment………………………………………………………….47
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