简介：纸建议帮助在量的术语调查真实网络的竞争方面的一个模型。通过理论分析和数字模拟，它证明竞争模型为一个加权的网络有普遍性。在在加权的网络的参数和在竞争网络的竞争力之间的关系被理论分析获得。基于竞争网络，力量和度的度分发的表达式加权的网络的分布能被计算。分析解决方案表明加权的网络的度分发与增长和边重量的起始的价值被相关，它被数字模拟验证。而且，与象一个网络，一个更新的系数，起始的重量和竞争力的尺寸那样的网络参数一起的一个聚类的系数的演变模式被进一步的模拟获得。

简介：用没有改变度分发的一个悦耳的聚类系数模型，我们调查与未加权、加权的政变石楠在网络的同步上聚类系数的效果。为复杂网络的几个典型范畴，更多的三角形在网络，更坏网络的synchronizability。

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简介：ThispapershowsanumberofproblemsinpureandappliedmathematicsthataresolvedbyconstructingtransportationnetworksMoreover,italsoshowsthatallthesolutionsarecharacterizedbyforbiddenconfiguratlozzwhicharenotminors.However,allthecharacterisationsaremuchrelatedtothegraphicmethodwhichwasfoundbyChineseforsolvingakindofthetransportationprobleminthefifties.

简介：为一家企业建模匹配它的顾客察觉了(并且需要的顾客)结果，仍然是一项进行中的任务。这篇论文考虑表演网络(SVN)接近的服务价值可能怎么样，答应当模特儿，；交付，前端企业理解；它与的直接约会它的立即(或前端)顾客。这些前端顾客可以是任何一个：(1)它的离线，在里面店顾客—与企业出售职员一起直接从事(或代表)，或(2)它的联机、虚拟顾客—经由因特网或遥远的存取与企业从事。处于这种状况，两企业，；顾客利用他们的各自的观点，；双方影响相互作用。对这些企业外部；顾客影响是捕获的另外的因素立即；更宽广的全球效果—称为的环境效果。影响的这三个生意顾客约会区域被一条SVNSEM途径捕获。没有一个生意顾客，某类型遇到一家服务企业的可能性，；一个勘探顾客，成功地从事一个交换过程被减少。这交换可以是一物理，；/or服务交换，；/or一个信息；/or想法交换。到企业，实际上，这相遇是一项贸易，；作为结果，企业指向获得将最终交付一张网的经济交换积极经济结果。到顾客，外部；内部信息喂，满足，察觉的价值，；满足，是关键相遇司机。SVN提供一个新方法理解生意顾客相遇，；为了然后利用，这获得了知识到也：(1)造一个战略管理模型，或(2)reengineer它的企业网络，；然后创造重新定位的、更排列顾客的企业操作—能够交付胜利的—赢，竞争生意顾客答案。

简介：Inanactivenetwork,userscaninsertcustomizedactivecodesintoactivenodestoexecute.Thusitneedsmoreresourcesthanthoserequiredbyconventionalnetworks,andtheseresourcesmustbeeffectivelymonitoredandmanaged.ManagementpoliciesinexistingOSsaretoocomplicatedtoapplytosimpleactivepackets.Inthispaper,wepresentnewresourcesmanagementpoliciesthataremainlyadopedtomanageCPU,storageandtransmissionbandwidth.Namely,weuseSPFalgorithmtoscheduleandprocessactivepackets,andimportanintervalqueuemethodtoallocatetransmissionbandwidth,andusefeedbackmechanismtocontrolcongestion.Atthesametime,wedesignsomeexperimentsonprototypesystemswithandwithoutresourcesmanagementpoliciesrespectively.Theexperimentsresultsshowthatmanagementpoliciespresentedbyuscaneffectivelymanageresourcesinactivenodesandcanimprovetheperformanceofactivenetworks.

简介：Inthispaper,weproposetwoweightedlearningmethodsfortheconstructionofsinglehiddenlayerfeedforwardneuralnetworks.Bothmethodsincorporateweightedleastsquares.Ourideaistoallowthetraininginstancesnearertothequerytoofferbiggercontributionstotheestimatedoutput.Byminimizingtheweightedmeansquareerrorfunction,optimalnetworkscanbeobtained.Theresultsofanumberofexperimentsdemonstratetheeffectivenessofourproposedmethods.

简介：Thispaperstudiesrestrictedfaultdiameterofthen-dimensionalhypercubenetworksQn(n≥2).ItisshownthatforarbitrarytwoverticesxandywiththedistancedinQnandanysetFwithatmost2n-3verticesinQn-{x,y},ifFcontainsneitherofneighbor-setsofxandyinQn,thenthedistancebetweenxandyinQn-FisgivenbyD(Qn-F；x,y){=1,for=1；≤d+4,for2≤d≤n-2,n≥4；≤n+1,ford=n-1,n≥3；=n,ford=n.Furthermore,theupperboundsaretight.Asanimmediatelyconsequence,Qncantolerateupto2n-3verticesfailuresandremaindiameter4ifn=3andn+2ifn≥4providedthatforeachvertexxinQn,alltheneighborsofxdonotfailatthesametime.ThisimprovesEsfahanian'sresult.

简介：Inthispaper,weintroduceatypeofapproximationoperatorsofneuralnetworkswithsigmodalfunctionsoncompactintervals,andobtainthepointwiseanduniformestimatesoftheapproximation.Toimprovetheapproximationrate,wefurtherintroduceatypeofcombinationsofneuralnetworks.Moreover,weshowthatthederivativesoffunctionscanalsobesimultaneouslyapproximatedbythederivativesofthecombinations.Wealsoapplyourmethodtoconstructapproximationoperatorsofneuralnetworkswithsigmodalfunctionsoninfiniteintervals.

简介：在这份报纸，模仿大聚类系数和在许多真实建筑群存在的模块化的结构的一个随机的派系网络模型联网，例如社会网络，人工的网络，和蛋白质相互作用网络，吗被联合Erd的随机的选择规则介绍?s和R.愠辀?辀吗？？

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简介：Theweightedreliabilityofnetworkisdefinedasthesumofthemultiplicationoftheprobabilityofeachnetworkstatebyitsnormalizedweightingfactor.Underacertainstate,whenthecapacityformsourcestosinktislargerthanthegivenrequiredcapacityCr,thenthenormalizedweightingfactoris1,otherwise,itistheratioofthecapacitytotherequiredcapacityCr.Thispaperproposesanewalgorithmfortheweightedreliabilityofnet-works,putsforwardtheconceptofsaturatedstateofcapacity,andsuggestsarecursiveformulaforexpandingtheminimalpathstobethesumofqualifyingsubsets.Inthenewalgorithm,theexpansionsoftheminimalpathsdon'tcreatetheirrelevantqualifyingsubsets,thusdecreasingtheunnecessaryexpandingcalculation.Comparedwiththecurrentalgorithms,thisalgorithmhastheadvantageofasmallamountofcomputationsforcomputerimplementa-tion.

简介：ThispaperdescribestheimplementationofasizablesubsetofOpenMPonnetworksofworkstations(NOWs)andthesource-to-sourceOpenMPcompiler(AutoPar)isusedfortheJIAJIAhome-basedsharedvirtualmemorysystem(SVM).ThepapersuggestssomesimplemodificationsandextensionstotheOpenMPstandardforthedifferencebetweenSVMandSMP(symmetricmultiprocessor),atwhichtheOpenMPspecificationisaimed.TheOpenMPtranslatorisbasedonanautomaticparallelizationcompiler,soitispossibletocheckthecorrectnessofthesemanticsofOpenMPprogramswhichisnotrequiredinanOpenMP-compliantimplementation.AutoParismeasuredforfiveapplicationsincludingbothprogramsfromNASParallelBenchmarksandrealapplicationsonaclusterofeightPentiumIIPCsconnectedbya100MbpsswitchedEthernet.TheevaluationshowsthattheparallelizationbyannotatingOpenMPdirectivesissimpleandtheperformanceofgeneratedJIAJIAcodeisstillacceptableonNOWs.

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简介：让N=(G，c)一个随机的电的网络被在随机的图G\mathbbG\mathbb为每个边分配某个抵抗获得{G}(n，p)并且边界顶点上的潜力。在这份报纸，我们证明与高概率，G的所有顶点的潜在的分发离一个常数很靠近。

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简介：Biologicalelementsusuallyexerttheirfunctionsthroughinteractionswithotherstoformvarioustypesofbiologicalnetworks.Theabilityofcontrollingthedynamicsofbiologicalnetworksisofenormousbenefitstopharmaceuticalandmedicalindustryaswellasscientificresearch.Thoughtherearemanymathematicalmethodsforsteeringdynamicsystemstowardsdesiredstates,themethodsareusuallynotfeasibleforapplyingtocomplexbiologicalnetworks.Thedifficultiescomefromthelackofaccuratemodelthatcancapturethedynamicsofinteractionsbetweenbiologicalelementsandthefactthatmanymathematicalmethodsarecomputationallyintractableforlarge-scalenetworks.Recently,aconceptincontroltheory--controllability,hasbeenappliedtoinvestigatethedynamicsofcomplexnetworks.Inthisarticle,recentadvancesonthecontrollabilityofcomplexnetworksandapplicationstobiologicalnetworksarereviewed.Developingdynamicmodelsisthepriorconcernforanalyzingdynamicsofbiologicalnetworks.First,weintroduceawidelyuseddynamicmodelforinvestigatingcontrollabilityofcomplexnetworks.Thenrecentstudiesoftheoremsandalgorithmsforhavingcomplexbiologicalnetworkscontrollableingeneralorspecificapplicationscenariosarereviewed.Finally,applicationstorealbiologicalnetworksmanifestthatinvestigatingthecontrollabilityofbiologicalnetworkscanshedlightsonmanycriticalphysiologicalormedicalproblems,suchasrevealingbiologicalmechanismsandidentifyingdrugtargets,fromasystematicperspective.

简介：Thispaperstudiesasimpleasymmetricallyevolvedcommunitynetworkwithacombinationofpreferentialattachmentandrandomproperties.Animportantissueaboutcommunitynetworksistodiscoverthedifferentutilityincrementsoftwonodes,wheretheutilityisintroducedtoinvestigatetheasymmetricaleffectofconnectingtwonodes.Ontheotherhand,theconnectionoftwonodesincommunitynetworkscanbeclassifiedastwonodesbelongingtothesameortodifferentcommunities.Thesimulationresultsshowthatthemodelcanreproduceapower-lawutilitydistributionP(u)～uσ,σ=2+1p,whichcanbeobtainedbyusingmean-fieldapproximationmethods.Furthermore,themodelexhibitsexponentialbehaviourwithrespecttosmallvaluesofaparameterdenotingtherandomeffectinourmodelatthelow-utilityregionandapower-lawfeaturewithrespecttobigvaluesofthisparameteratthehigh-utilityregion,whichisingoodagreementwiththeoreticalanalysis.Thiskindofcommunitynetworkcanreproduceauniqueutilitydistributionbytheoreticalandnumericalanalysis.

简介：Averyinexpensiverecive-onlysatellitereceiverhighbandwidthtrafficfromafeeder.Thereforetheconnectionbetweenthefeederandthereceiverisuni-directional.Theexistingroutingprotocols,suchasLink-StateandDistance-Vector,aredesignedonthepremisethatanylinksarebidirectionalandtheycannothandletheuni-directionallinks.Inthispaper,adynamicmulticastroutingprotocolisproposed,whichcanhandleuni-directionalnetworks,Thisprotocolcanalsoadapttothedynamicchangeofthetopolgoyofthenetworkandhasgoodscalability.AformaldescriptionoftheprotocolbyPetrinetisgiven.Liveness,deadlockfreeandotherpropertiesoftheprotocolarepreoved.

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