简介：Apotentialreductionalgorithmisproposedforoptimizationofaconvexfunctionsubjecttolinearconstraints.Ateachstepofthealgorithm,asystemoflinearequationsissolvedtogetasearchdirectionandtheArmijo'sruleisusedtodetermineastepsize.Itisprovedthatthealgorithmisgloballyconvergent.Computationalresultsarereported.

简介：ItisprovedthatalinearlyrecursivesequenceofnindiceaoverfieldF(n≥1)isautorntaticallyaproductofnlioearlyrecurplvesequenceaof1-lndexoverFbythetheoryofHopfalgebras.Bytheway,thecorrespondencebetweenthesetoflinearlyrecursivesequenoesof1-indexandF[X]^0isgeneralisedtothecaseofn-index.

简介：Inthispaper,weprovideanewgeneralizedgradientprojectionalgorithmfornonlinearprogrammingproblemswithlinearconstraints.Thisalgorithmhassimplestructureandisverypracticalandstable.Undertheweakerassumptions,wehaveprovedtheglobalconvergenceofouralgorithm.

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