简介:TheEnglishconstruction'XandY'referstothecoordinationoftwowordswithandasconjunction,XandYbeingofthesamepartofspeechandparallelmeanings.ThispaperisacognitivestudyofthelinearorderoftheEnglishconstruction'XandY'fromtheperspectivesofcognitivesalience,cognitiveiconicity,andcognitionofformalrules.Thelinearcharacteristicsof'XandY'arerevealedasfollows:1)salience-downgradingorder;2)chronologicaliconicity;3)cognitionofalphabeticorderandprosodicorder.
简介:InthispapertheSchwarzalternatingmethodforafourth-orderellipticvariationalinequalityproblemisconsideredbywayoftheequivalentform,andthegeometricconvergenceisobtainedontwosubdomains.
简介:Split-stepPadémethodandsplit-stepfouriermethodareappliedtothehigher-ordernonlinearSchrdingerequation.ItisprovedthatacombinationofPadéschemeandspectralmethodisthemosteffectivemethod,whichhasaspectral-likeresolutionandgoodstabilitynature.Inparticular,weproposeanunconditionalstableimplicitPadéschemetosolveoddordernonlinearequations.NumericalresultsdemonstratetheexcellentperformanceofPadéschemesforhighordernonlinearequations.
简介:Throughtheanalysisoftheprinciple,errorsourcesandprecisionoftrigonometricleveling,thispaperpointsoutthekeyproblemsaboutfirstorderlevelingreplacedbytrigonometricleveling;andforthefirsttimeputsforwardthat,insomegivenconditions,itisnotonlyfeasiblebutalsovaluabletoreplacefirstorderlevelingbyprecisetrigonometricleveling,andprovesitbyexperimentationaswell.Thecontentandconclusionofthispaperhaveconsultingsignificanceandpracticablevalueforoursettingdownrelationalcriterionandproductionpractice.
简介:Alargeclassoflinearstructuralfunctions(LSF)satisfyingtheconditionofcorrelationalimmunityoforderoneareconstructedbystudyingthelinearstructuralBooleanfunctions.Withthesenewfoundedfunctions,theknownenumerationboundsofcorrelation-immunefunctionsoforderonearegreatlyimproved.Infact,thebest,uptonow,lowerboundisfound.
简介:Asthetheoryofthefractionalorderdifferentialequationbecomesmaturegradually,thefractionalorderneuralnetworksbecomeanewhotspot.TherobuststabilityofaclassoffractionalorderHopfieldneuralnetworkwiththeCaputoderivativeisinvestigatedinthispaper.ThesufficientconditionstoguaranteetherobuststabilityofthefractionalorderHopfieldneuralnetworksarederivedbymakinguseofthepropertyoftheMittag-Lefflerfunction,comparisontheoremforthefractionalordersystem,andmethodoftheLaplaceintegraltransform.Furthermore,anumericalsimulationexampleisgiventoillustratethecorrectnessandeffectivenessofourresults.
简介:MULTIPLICITYRESULTSFORAFOURTH-ORDERBOUNDARYVALUEPROBLEMMaRuyun(马如云)MaQinsheng(马勤生)(ReceivedOct.5.1994:CommunicatedbyLinZongch...
简介:ThispaperisconcernedwithapplicationsofintegratedsemigroupstothefollowingCauchyproblem:(ACPn)xn(t)=sumfromi=0ton-1Bixi(t),xi(0)=xi,0(?)i(?)n-1whereBi(0(?)i(?)n-1)areclosedlinearoperatorsonaBanachspaceX.Auniquenesstheorem,aconditionofthesolvability,aconditionoftheexponentialwell-posedness,andsomeresultsforthespecialcasethatBn-1isboundedandD(Bn-2)(?)D(Bi)(0(?)i(?)n-3)areobtained.
简介:Theobjectiveofthisstudyistoidentifysystemparametersfromtherecordedresponseofbaseisolatedbuildings,suchasUSChospitalbuilding,duringthe1994Northridgeearthquake.Fullstatemeasurementsarenotavailableforidentification.Additionally,theresponseisnonlinearduetotheyieldingofthelead-rubberbearings.Twonewapproachesarepresentedinthispapertosolvetheaforementionedproblems.First,areducedorderobserverisusedtoestimatetheunmeasuredstates.Second,aleastsquarestechniquewithtimesegmentsisdevelopedtoidentifythepiece-wiselinearsystemproperties.Theobserverisusedtoestimatetheinitialconditionsneededforthetimesegmentedidentification.Aseriesofequivalentlinearsystemparametersareidentifiedindifferenttimesegments.Itisshownthatthechangeinsystemparameters,suchasfrequenciesanddampingratios,duetononlinearbehaviorofthelead-rubberbearings,arereliablyestimatedusingthepresentedtechnique.Itisshownthattheresponsewasreducedduetoyieldingofthelead-rubberbearingsandperiodlengthening.
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简介:Thispaperpresentsanewmethodbasedonasecond-orderstochasticmodelforcomputerintrusiondetection.Theresultsshowthattheperformanceofthesecond-orderstochasticmodelisbetterthanthatofafirst-orderstochasticmodel.Inthisstudy,differentwindowsizesarealsousedtotesttheperformanceofthemodel.Thedetectionresultsshowthatthesecond-orderstochasticmodelisnotsosensitivetothewindowsize,comparingwiththefirst-orderstochasticmodelandotherpreviousresearches.Thedetectionresultofwindowsizes6and10isthesame.
简介:InthispaperweprovideaprobabilisticapproachtothefollowingDirichletProblem{(∑x4(αijxj)+∑bixi+ξ)u=0,iDu=g,onD,withoutassumingthattheeigenvaluesoftheoperator∑xi(αijxj)+∑bixi+ξwithDirichletboundaryconditionsareallstrictlynegative.TheresultsofthispapergeneralizedthoseofMa.