简介：The3-stageClosnetworkC(n,m,r)isconsideredasthemostbasicandpopularmultistageinterconnectionnetworkwhichhasbeenwidelyemployedfordatacommunicationsandparallelcomputingsystems.Quitealotofeortshasbeenputontheresearchofthe3-stageClosnetwork.Unfortunately,verylittleisknownforthemultiratemulticastClosnetworkwhichisthemostcomplicatedcase.Firstlyasucientconditionfor1-ratemulticastnetworkstobeSNBisgiven,fromwhicharesultfor2-ratemulticastnetworkstobeWSNBcaneasilybegotten.Furthermore,byusingareservation-schemerouting,morespecificresultfor2-ratemulticastnetworkstobeWSNBcanbeobtainedforthecaseofoneofthemexceeding1/2.

简介：Domaindecompositionmethodandmultigridmethodcanbeunifiedintheframeworkofthespacedecompositionmethod.Thispaperhasobtainedanewresultontheconvergencerateofthespacedecompositionmethod,whichcanbeappliedtosomenonuniformlyellipticproblems.

简介：Inthispaperweprovethattheasymptoticrateofconvergenceofthemod-ifiedGauss-Seidelmethodofanon-singularM-matrixisamonotonicfunctionforpreconditionparameters0≤αi≤1-2,(i=1,2,…,n-1).

简介：ThestressrateintegralequationsofelastoplasticityarededucedbasedonRef.[1]byconsistentmethods.Thepointatwhichthestressesand/ordisplacementsarecalculatedcanbeinthebodyorontheboundary,andintheplasticregionorelasticone.Theexistenceoftheprincipalvalueintegralintheplasticregionisdemonstratedstrictly,andthetheoreticalbasisispresentedforthepaticularsolutionmethodbyunitinitialstressfields.Inthepresentmethod,programmingiseasyandgeneral,andthenumericalresultsareexcellent.

简介：InthispaperweprovethattheconvergencerateofthemodifiedGauss-Seidelmethodisamonotonicfunctionforsomepreconditionparameters.

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简介：Thisarticleinvestigatesthefractionalderivativeorderidentification,thecoefficientidentification,andthesourceidentificationinthefractionaldiffusionproblems.If1<α<2,weprovetheuniquedeterminationofthefractionalderivativeorderandthediffusioncoefficientp(x)by∫t0u(0,s)ds,0

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简介：为解决椭圆形的部分微分方程的边界价值问题的一个概括添加剂Schwarz算法的集中率被学习。集中率的定量分析为模型Dirichlet问题被给。算法的更大的加速能被合适选择参数获得，这将被显示出。Somenumerical测试也在这篇论文被介绍。

简介：Thequasi-conformingelementofthecurvedbeamandshallowcurvedbeamisgiveninthispaper.Numericalexamplesillustratethatthequasi-conformingelementsofthecurvedbeamandshallowcurvedbeamWhichisusedtoaooroximatethecurvedbeamhavebetteraccuracythanthestraightbeamelement.Thecurvedbeamelementconstructedbydisplacementmethodcannotsatislyrigidbodymotionconditionandthevervfinegridshavetobeusedinordertosatisfyrigidbodymotionconditionapproximately.Inthispaperitisprovedthatthestraightbeamelementandthequasi-conformingelementofthecurvedbeamandshallowcurvedbeam.whenelementsizeisreducedinfinitely,haveconvergenceratewiththesameorderO(l~2)andwhenregulurelementsareused,Iistheelementlength.

简介：InthispaperweconsideraclassofpolynomialsP(z)=a0+∑nv=tavzv,t≥1notvanishingin|z|

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简介：纸探讨率方程的明确的表达，经由客观时间衍生物，在连续统物理以内。客观性的概念被考察，区别与其意思相对Galilee的框架被限制为平衡方程的不变性的材料框架不在乎被做。客观时间衍生物被定义离开在欧几里德几何学的框架的集合以内不变的适当的地的张肌特性。率方程被要求包含客观时间衍生物并且与热力学的第二条法律一致。这里，客观时间衍生物的一般结构被建立，物理文学的已知的衍生物被显示是特别盒子。到改正想法，下次，一个率方程与高顺序的坡度经由Maxwell-Cattaneo方程的归纳为热传导的模型被考虑作为在Guyer-Krumhansl方程。热力学的限制被调查，热流动的选择衍生物，期望的效果在压力张肌上被导出。

简介：Anewmethodisputforwardforstructuraldamageidentificationbasedonthehomotopycontinuationalgorithm.Anumericalexampleispresentedtoverifythemethod.Thebeamswithdifferentdamagelocationsanddifferentdamageextentsareidentifiedbythismethod.Thenumericalexampleshaveprovedthatthisnewmethodiscapableofeasyconvergence,whichisnotsensitivetotheinitialiterativevalues.Itiseffectiveforaccuratelyidentifyingmultipledamages.Byincorporatingthefiniteelementmethodintothehomotopycontinuationalgorithm,thedamageidentifyingabilityofthenewmethodcanbegreatlyenhanced.

简介：Ghostimagingcouldbeusedtomakeaquickidentificationoforthogonalobjectsbymeansofphotocurrentcorrelationmeasurements.Inthispaper,weextendthemethodtoidentifynonorthogonalobjects.Inthemethod,anobjectisilluminatedbyonephotonfromanentangledpair,andtheotheroneisdiffractedintoaparticulardirectionbyapre-establishedmultiple-exposurehologramintheidlerarm.Bythecorrelationmeasurements,thenonorthogonalobjectinthesignalarmcouldbediscriminatedwithinaveryshorttime.Theconstraintsfortheidentificationofnonorthogonalobjectsarepresented,whichshowthatthenonorthogonalobjectscanbediscriminatedwhentheoverlappingportionbetweenanytwoobjectsislessthanhalfofalltheobjectsintheset.Thenumericalsimulationsfurtherverifytheresult.

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简介：Thedetectordescriptiondatabase,theeventdatastructure,theconditiondatabaseareallexamples(amongothers)ofcomplexcollectionsofobjectswhichneedtobeunambiguouslyidentified,notonlyinternallytotheirownmanagementstructure.butalsofromonecollectiontotheother.Therequirementsforsuchanidentificationschemeincludethemanagementofidentifiersindividuallyattachedtoeachcollectedobject,thepossibilitytoformallyspectifytheseidentifiers(egthroughdictionaries),togenerateoptimisedandcompactrepresentationsfortheseidentifiersandtobeabletousethemassortingandsearchingkeys.wepresentherethegenerictoolkitdevelopedinthecontextoftheAtlasexperimenttoprimarilyprovidetheidentificationofthereadoutelementsofthedetector.Thistoolkitoffersseveraleithergenericorspecializedcomponentsuchas:anXMLbaseddictionarywithwhichtheformalspecificationofaparticularobjectcollectionisexpressed,asetofvariousbinaryrepresentationsforidentifierobjects(offeringvariouslevelofcompaction),rangeoperatorsmeanttomanipulaterangesofidentifiers,andfinallyacollectionmanagersimilartotheSTLmapbutoptimisedforanorganizationkeyedbyIdentifiers.Allthesecomponentseasilyinteroperate.InParticulartheIdentifierdidctionaryoffersmeansofspecifyingpermittedcardinalitiesofobjectsateachlevelofthehierarchy,ThiscanthenbetranslatedintoIdentifierRangesorcanbeusedasthestrategydriverforhighcompactificationoftheidentifiers(e.g.tostoreverylargenumberofidentifiedobjects).Currentuseofthistoolkitwithinthedetectordescriptionwillbepresented,andexpectedorpossibleotherusageswillbediscussed.

简介：Parameteridentificationproblemisoneofessentialprobleminordertomodeleffectivelyexperimentaldatabyfractalinterpolationfunction.Inthispaper,wefirstpresentanexampletoexplainarelationshipbetweeniterationprocedureandfractalfunction.Thenwediscussconditionsthatverticalscalingfactorsmustobeyinonetypicalcase.

简介：Wediscussestimatesfortherateofconvergenceofthemethodofsuccessivesubspacecorrectionsintermsofconditionnumberestimateforthemethodofparallelsubspacecorrections.Weprovideupperboundsandinaspecialcase,alowerboundforpreconditionersdefinedviathemethodofsuccessivesubspacecorrections.