简介:Let0
1andwintheMuckenhouptclassA1.Recently,byusingtheweightedatomicdecompositionandmolecularcharacterization,Lee,LinandYang[11]es-tablishedthattheRiesztransformsRj,j=1,2,···,n,areboundedonHwp(Rn).InthisnoteweextendthistothegeneralcaseofweightwintheMuckenhouptclassA∞throughmolec-ularcharacterization.Onedifficulty,whichhasnotbeentakencarein[11],consistsinpassingfromatomstoallfunctionsinHwp(Rn).Furthermore,theHwp-boundednessofθ-Calderón-Zygmundoperatorsarealsogiventhroughmolecularcharacterizationandatomicdecomposition.
简介:带柔性时间窗的开放式车辆路径问题(OpeningVehicleRoutingProblemwithFlexibleTimewin—dows,OVRPFTW)对物流配送中的延迟或者提早具有一定程度的容忍.本文首先建立了OVRPFTW的数学模型,然后分别将Sine映射,Chebyshev映射和Logistic映射引入基本蚁群算法,构建了三种混沌蚁群算法,并将其用于求解OVRPFTW.算倒测试表明:Sine映射和Chebyshev映射能够明显地改进基本蚁群算法的优化性能,基于Sine映射和Chebyshev映射的混沌蚁群算法的求解性能优于基本蚁群算法和基于Logistic映射的混沌蚁群算法.
简介:考虑动态输出反馈控制下Euler-Bernoulli梁的振动抑制问题,证明了系统算子生成的C0-半群,不指数稳定但渐近稳定.且当初值充分光滑时,利用Riesz基方法估计出系统能量多项式衰减.
简介:在认定甲状腺滤泡性腺瘤与滤泡性腺癌的细胞核形态指标存在显著差异的条件下,对两类样本通过逐步判别分析筛选出鏊别能力较强的少数几个指标,并运用距离判别分析建立了甲状腺滤泡性腺瘤与滤泡性腺癌的判别函数,为临床病理诊断提供辅助诊断方法.
简介:1IntroductionLetA∈Cn×n,B∈Cn×n.WesayBisasquarerootofAifA=B×Bi.e.A=B2.Itiswell-knownthatanysymmetricpositivedefinitematrixexistsoneandonlyonesquarerootwhichisasymmetricpositivedefinitematrix,too(e.g.see[5]).Higham[4]studiedcarefullytherelationofarealnonsingularmatrixbetweenitsrealsquarerootsanditseigenvalues.AlefeldandSchneider[1]pointedoutthatforanynonsingularM-ma-trixthereisoneandonlyoneM-matrixasitssquareroot.Inthispaper,westudyona
简介:Usingrecursivemethod,thispaperstudiesthequeuesizepropertiesatanyepochn+inGeom/G/1(E,SV)queueingmodelwithfeedbackunderLASDA(latearrivalsystemwithdelayedaccess)setup.Somenewresultsabouttherecursiveexpressionsofqueuesizedistributionatdifferentepoch(n+,n,n-)areobtained.Furthermoretheimportantrelationsbetweenstationaryqueuesizedistributionatdifferentepochsarediscovered.TheresultsaredifferentfromtherelationsgiveninM/G/1queueingsystem.Themodeldiscussedinthispapercanbewidelyappliedinmanykindsofcommunicationsandcomputernetwork.
简介:Basedontherangespaceproperty(RSP),theequivalentconditionsbetweennonnegativesolutionstothepartialsparseandthecorrespondingweightedl_1-normminimizationproblemarestudiedinthispaper.Differentfromotherconditionsbasedonthesparkproperty,themutualcoherence,thenullspaceproperty(NSP)andtherestrictedisometryproperty(RIP),theRSPbasedconditionsareeasiertobeverified.Moreover,theproposedconditionsguaranteenotonlythestrongequivalence,butalsotheequivalencebetweenthetwoproblems.First,accordingtothefoundationofthestrictcomplementaritytheoremoflinearprogramming,asufficientandnecessarycondition,satisfyingtheRSPofthesensingmatrixandthefullcolumnrankpropertyofthecorrespondingsub-matrix,ispresentedfortheuniquenonnegativesolutiontotheweightedl_1-normminimizationproblem.Then,basedonthiscondition,theequivalenceconditionsbetweenthetwoproblemsareproposed.Finally,thispapershowsthatthematrixwiththeRSPoforderkcanguaranteethestrongequivalenceofthetwoproblems.
简介:Thepurposeofthepresentpaperistoevaluatetheerroroftheapproximationofthefunc-tionfL1[0,1]byKantorovich-BernsteinpolynomialsinLp-metric(0
1).
简介:混乱理论教了我们很可能有非线性和随机的输入愿望的一个系统生产不规则的数据。如果随机的错误是不规则的数据,那么随机的错误过程将提起非线性(Kantz和Schreiber(1997))。Tsai(1986)与AR(1)错误在线性模型为自相关和heteroscedasticity介绍了合成测试。刘(2003)与DBL在非线性的模型为关联和heteroscedasticity介绍了合成测试(p,0,1)错误。因此,在回归模型的重要问题是bilinearity,关联和heteroscedasticity的察觉。在这篇文章,作者与DBL讨论非线性的模型的更一般的大小写(p,q,1)由20测试的随机的错误。为bilinearity,关联,和heteroscedasticity的测试的几统计在简单矩阵公式被获得,并且表示。有线性错误的回归模型的结果与双线性的错误被扩大到那些。模拟学习被执行调查测试统计的力量。这篇文章的所有结果扩大并且发展结果Tsai(1986),魏,等(1995),和刘,等(2003)。