简介：Thispaperpresentsaconcurrentobject-orientedmodelinglanguagebasedonPetrinets:OMNets,whichhelpsgreatlytoavoidtheinheritanceanomalyproblemappearedinconcurrentOOlanguages.OMNetsseparatesthefunctionalpartandthesynchronizationpartofobjectsandusesPetrinetstodescribethesynchronizationpart.Bothpartsarereusablethroughinheritance.

简介：In1971,thefamousmathematicianGeorgePolya,introducedfourbasicstepsorphasesforsolvingproblems:Step1UnderstandtheProblemStep2DecideonaPlanStep3CarryoutthePlanStep4LookBack

简介：WeconsideraclassofABStypealgorithmsforsolvingsystemoflinearinequalities,wherethenumberofinequalitiesdoesnotexceedthenumberofvariables.

简介：Anewalgorithmispresentedforsolvingasystemoflinearinequalities.Startingatanypointbysolvingaleastsquaresproblemwecaneitherobtainafeasiblepointordeterminethatnosolutionexists.

简介：IntheprocessofsolvingEulervectorsbasedonGNSShorizontalmovementfield,thenumberofestimatedparameterscanaffectEulervectorresults.Thisissueisanalyzedthroughtheoreticaldeductionandpracticalexampleinthispaper.Firstly,thedifferencebetweentheresultsofEulervectorsindifferentsolvingmodelsisdeduced.Meanwhile,basedonGNSShorizontalmovementfieldintheChinesemainlandfrom2004to2007,twocommonmodels(RRMandREHSM)areusedtodiscusstheimpactofsolvingmodelsonEulervectorsandthefollow-upstudy.Theresultshowsthatthemaximumvalueofthedifferenceinablock’sentirerotationcanreach2.6mm/a,andshouldnotbeignored.Therefore,theresultsofhorizontalmovementaredifferentusingdifferentkinematicblockmodels,andthisshouldbepaidmoreattentionintheanalysisofcrustalhorizontalmovement.

简介：Inthispaper,wepresentanalgorithmforsolvingaclassoftransportationproblemsandshowthatitisgloballyconvergent.Thepropsedalgorithmissimpletoimplementandeasytoparallelize.Thenumericalresultsindicatethattheproposedalgorithmiseffectiveforthisclassofproblems.

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简介：Weintroducemultilevelaugmentationmethodsforsolvingoperatorequationsbasedondirectsumdecompositionsoftherangespaceoftheoperatorandthesolutionspaceoftheoperatorequationandamatrixsplittingscheme.Weestablishageneralsettingfortheanalysisofthesemethods,showingthatthemethodsyieldapproximatesolutionsofthesameconvergenceorderasthebestapproximationfromthesubspace.Theseaugmentationmethodsallowustodevelopfast,accurateandstablenonconventionalnumericalalgorithmsforsolvingoperatorequations.Inparticular,forsecondkindequations,specialsplittingtechniquesareproposedtodevelopsuchalgorithms.Thesealgorithmsarethenappliedtosolvethelinearsystemsresultingfrommatrixcompressionschemesusingwavelet-likefunctionsforsolvingFredholmintegralequationsofthesecondkind.Forthisspecialcase,acompleteanalysisforcomputationalcomplexityandconvergenceorderispresented.Numericalexamplesareincludedtodemonstratetheefficiencyandaccuracyofthemethods.IntheseexamplesweusetheproposedaugmentationmethodtosolvelargescalelinearsystemsresultingfromtherecentlydevelopedwaveletGalerkinmethodsandfastcollocationmethodsappliedtointegralequationsofthesecondkind.Ournumericalresultsconfirmthatthisaugmentationmethodisparticularlyefficientforsolvinglargescalelinearsystemsinducedfromwaveletcompressionschemes.

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简介：Assetallocationisanimportantissueinfinance,andbothriskandreturnareitsfundamentalingredients.Ratherthanthereturn,themeasureoftheriskiscomplicatedandofcontroversy.Inthispaper,weproposeanappropriateriskmeasurewhichispreciselyaconvexcombinationofmeansemi-deviationandconditionalvalue-at-risk.Basedonthisriskmeasure,investorscantrade-offflexiblybetweenthevolatilityandthelosstotackletheincurringriskbychoosingdifferentconvexcoefficients.Asthepresentedriskmeasurecontainsnonsmoothterm,theassetallocationmodelbasedonitisnonsmooth.Toemploytraditionalgradientalgorithms,wedevelopauniformsmoothapproximationoftheplusfunctionandconvertthemodelintoasmoothone.Finally,anillustrativeempiricalstudyisgiven.Theresultsindicatethatinvestorscancontrolriskefficientlybyadjustingtheconvexcoefficientandtheconfidencelevelsimultaneouslyaccordingtotheirperceptions.Moreover,theeffectivenessofthesmoothingfunctionproposedinthepaperisverified.

简介：ＡＳＵＣＣＥＳＳＩＶＥＡＰＰＲＯＸＩＭＡＴＩＯＮＭＥＴＨＯＤＦＯＲＳＯＬＶＩＮＧＰＲＯＢＡＢＩＬＩＳＴＩＣＣＯＮＳＴＲＡＩＮＥＤＰＲＯＧＲＡＭＳＷＡＮＧＪＩＮＤＥ（王金德）（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｈｅｍａｔｉｃｓ，ＮａｎｊｉｎｇＵｎｉｖｅｒｓ...

简介：TheBjorckandPereyraalgorithmsusedforsolvingVandermondesystemofequationaremodifiedforthecasewherethepointsaresymmetriclysituatedaroundzero.Theworkingoperationissavedabouthalf.Aforwarderroranalysisispresentedforthemodifiedalgorithms,andit'sshownthatifthepointsaresituatedinsomeorder,theerrorboundareasgoodasHigham'sresultin1987.

简介：Basedonelementarygrouptheory,theblockpivotmethodsforsolv-ingtwo-dimensionalelasticfrictionalcontactproblemsarepresentedinthispaper.Itisprovedthatthealgorithmsconvergewithinafinitenumberofstepswhenthefrictioncoefficientis'relativesmall'.Unlikemostmathematicalprogrammingmeth-odsforcontactproblems,theblockpivotmethodspermitmultipleexchangesofbasicandnonbasicvariables.

简介：在源于监视的统计模型和错误不安处理的水坝指向multicollinearity问题，我们用截断的单个价值分解(TSVD)造了一个调整回归模型。在中国的一个地球岩石水坝作为一个例子被介绍并且讨论。分析由三步组成：当模特儿并且预报的multicollinearity察觉，规则化参数选择，和裂缝洞。概括交叉验证(GCV)功能和L曲线标准两个都在规则化参数选择被采用。部分最少平方的回归(PLSR)和逐步的回归也为比较被包括。结果显示TSVD能有希望地解决水坝回归模型的multicollinearity问题。然而，当TSVD由于规则化参数选择问题比逐步的回归和PLSR优异时，没有一般规则是可得到的作决定。当评估模型可靠性时，恰当的精确性和系数reasonability应该被考虑。

简介：Thearticleisaboutsolvingthelastmiledeliveryprobleminruraltownorvillage.Wewanttotestthedrone’spotentialinparceldelivery.Theobjectivesare1)tointroducetheclusterandtruck-droneintandemdeliverymethod,2)tocomparethenewmethodwiththetraditionalTSPmethodinaspectoftruckrunningdistance,energyusingandtimeoccupation.Theparceldeliverydemandissparse,soitisnotdenseenoughforatrucktocarryondelivery.Wetrytoidentifythebestrouteforthedronetodeliverthegoods.Weusek-meanmethodtocarryonclustering,thenweuseenumerationmethodtofulfillthecentroidsdelivery,whichcomesfromthedepot.Wedesignamodelandcalculatetheenergy,timeanddistancesavingbetweendroneusingmethod(DTSP)andtraditionalTSPmethod.Thedroneattendeddeliverysavestruckdeliverydistance,energyconsumptionandtime.ThetruckrunningdistanceofDTSPmethodsaves91.87%,thetruckrunningdistanceisshortenedfrom189.69kmto15.4252km.TheDTSPmethodsaves90.45%ofenergy.TheDTSPmethodbringsa29.75%cutoffintimeaspectwhentherearetwodroneinrunning.TheresearchintroducestheclusterandTSPcombinationmethod,whichisagoodwaytocarryonlastmiledelivery.Theresultshowsabrightfuturefordronetoattendparceldelivery.Thee-commercecorporationcanapplythismethodinpractice.

简介：Membranealgorithms(MAs),whichinheritfromPsystems,constituteanewparallelanddistributeframeworkforapproximatecomputation.Inthepaper,amembranealgorithmisproposedwiththeimprovementthattheinvolvedparameterscanbeadaptivelychosen.Inthealgorithm,somemembranescanevolvedynamicallyduringthecomputingprocesstospecifythevaluesoftherequestedparameters.Thenewalgorithmistestedonawell-knowncombinatorialoptimizationproblem,thetravellingsalesmanproblem.Theempiricalevidencesuggeststhattheproposedapproachisefficientandreliablewhendealingwith11benchmarkinstances,particularlyobtainingthebestoftheknownsolutionsineightinstances.Comparedwiththegeneticalgorithm,simulatedannealingalgorithm,neuralnetworkandafine-tunednon-adaptivemembranealgorithm,ouralgorithmperformsbetterthanthem.Inpractice,todesigntheairlinenetworkthatminimizethetotalroutingcostontheCABdatawithtwenty-fiveUScities,wecanquicklyobtainhighqualitysolutionsusingouralgorithm.

简介：InthispaperweconsidersomesynchronousandasynchronousmultisplittingandSchwarzmethodsforsolvingthelinearcomplementarityproblems.WeestablishsomeconvergencetheoremsofthemethodsbyusingtheconceptofM-splitting.

简介：ThispaperintroducesamethodforsolvingDOAestimationambiguityinESPRITalgorithmwiththeconventionalbeamformer.Withthehelpofit,foranyspaceoftwosubarrays,thesignalDOAin[-π/2,π/2]canbeestimatedeffectivelybyusingESPRITalgorithm.Finally,somesimulationresultstoverifythetheoreticalanalysesarepresented.

简介：这份报纸处理包含批处理机器的安排问题，它是在文学的也已知的同样平行的batching。介绍混合整数编程明确的表达首先在学习下面为这个问题提供一个高雅的模型。而且，它在到目前为止开发的准确方法的能力以外启用答案到问题例子。以便减轻计算负担，作者建议平衡答案质量和计算时间的基于MIP的启发式的途径。