PDF-SIAMJ.DATH2005SocietyforIndustrialandAppliedMathematicsVol.19,No.1,pp.
Author : jane-oiler | Published Date : 2015-11-19
AJRADCLIFFEADSCOTTANDELWILMERofauthorshavegivenapproximationalgorithmsKececiogluandSanko23gavea2approximationalgorithmBafnaandPevzner2gavea175approximationalgorithmChristie8gavea1
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SIAMJ.DATH2005SocietyforIndustrialandAppliedMathematicsVol.19,No.1,pp.: Transcript
AJRADCLIFFEADSCOTTANDELWILMERofauthorshavegivenapproximationalgorithmsKececiogluandSanko23gavea2approximationalgorithmBafnaandPevzner2gavea175approximationalgorithmChristie8gavea1. Abstract. 1.Introductionandmotivations.Thelast12yearshavewitnessedmanycontributionstotheinpaintingproblemindigitalimages,i.e.,theproblemofrecoveringentireregions 1144F.CAO,Y.GOUSSEAU,S.MASNOU,ANDP.PER ReceivedbytheeditorsFebruary8,2010;acceptedforpublication(inrevisedform)July4,2011;publishedelectronicallyNovember15,2011.Apreliminaryversionofsomeoftheseresultsappearedinaconferencepaper[19].http://w ReceivedbytheeditorsAugust8,2002;acceptedforpublication(inrevisedform)January7, AUTHORITYRANKINGSFROMHITS,PAGERANK,ANDSALSAInsection3,wereviewthePerron Abstract. 1.Introduction.Wediscussprimal-dualsplittingmethodsforconvexoptimizationprob-lemsoftheform(1)minimizewhereand ReceivedbytheeditorsNovember26,2013;acceptedforpublication(inrevisedform)May30,2 SPHERICALSPLINEAPPROXIMATIONDuetothisspecialrepresentation,manypropertiesofSBBpolynomialsareanal-ogoustothoseofclassicalplanarBernstein 324DONALDE.KNUTH,J/t.IVIESH.MORRIS,JR.ANDVAUGHANR.PRATI'Weshallfirstconsiderthealgorithminaconceptuallysimplebutsomewhatinefficientform.Sections3and4ofthispaperdiscusssomewaystoimprovetheefficiencyand ReceivedbytheeditorsMarch17,2005;acceptedforpublication(inrevisedform)July6,2006;publishedelectronicallyJanuary12,2007.http://www.siam.org/journals/sinum/45-1/62708.html J.QIAN,Y.-T.ZHANG,ANDH.-K.ZHAO ACCELERATIONOFSTOCHASTICAPPROXIMATION839Toobtainthesequenceofestimates(t)tlofthesolutionx*of(1),thefollowingrecursivealgorithmwillbeused:XtXt-YtYtYtAxt-b+t,lt-1(2)2,7i=0EXi-Xoisanarbitrary(nonrandom)p OPTIMALINTERLEAVINGONTORIDefinition1.2.Atwo-dimensionaltorusisagraphcontainingverticesedges.Wedenoteitsverticesbyi,j (0,0) (0,1) 1002U.FEIGE,RRAGHAVAN,D.PELEG,ANDE.UPFAL"Xi"Xj,"andgivesthewronganswerwithsomeprobability.Eachleafislabeledwithapermutationrepresentingthesortedorderfortheinput(forsortingandmerging)oranindexin[1,N](f REPRESENTATIONSOFLANGUAGES115Indeedacloseinspectionoftheoriginalproof[6]revealsthatitdoesnotholdwhenwerepresentdeterministiccontext-freelanguagesbydeterministicpushdownautomataandpushdownautomatawitha MARKOVDECISIONPROBLEMS,STATE-ACTIONFREQUENCIES787visitstOstatex.Belowweshowthatthepathwiselimitsofthese"conditionalfrequen-cies"arethemorebasicquantity,inthattheydeterminetheexpectedstateactionfrequen ODEDGOLDREICH,SHAFIGOLDWASSER,ANDASAFNUSSBOIMcodesgeneratedassuggestedabovemayhavesmalldistance.So,canweecientlygeneraterandom-lookingcodesoflargedistance?Specif-ically,canweprovideaprobabilisticpo ProcNatlAcadSciUSA80198351570LetiAATqtheniEK0ThusaTAaigTAiXT-AAT2iTAizTAAT102HenceAispositivesemidefiniteandsoisAATBecauseAATisnonsingularAATisinfactpositivedefiniteandsoisAElAdirectconsequenceofTheor
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