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243 个结果
  • 简介:Inthispapertheconceptofpositivedefinitebilinearmatrixmomentfunctional.actingonthespaceofallthematrixvaluedcontinuousfunctionsdefinedonaboundedinterval[a,b],isintroduced.ThebestapproximationmatrixproblemwithrespecttosuchafunctionalissolvedintermsofmatrixFourierseries.BasicpropertiesofmatrixFourierseriessuchastheKiemann-Lebesguematrixpropertyandthebessel-parsevalmatrixinequalityareproved.Theconceptoftotalsetvjithrespecttoapositivedefinitematrixfunctionalisintroduced,andthetotallityofanorthonormalsequenceofmatrixpolynomialswithrespecttothefunctional,isestablished.

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  • 简介:结果的一些归纳由S.P证明了。Singh[J。理论约25(1979),8990]在凸的公制的空格被介绍。证明的结果在这个题目上包含几已知的结果。

  • 标签: 函数 逼近 凸度量空间 可扩映射
  • 简介:InthisnoteweobtaingeneralizationofwellknownresultsofcarboneandConti,SehgalandSinghandTanimotoconcerningtheexistenceofbestapproximationandsimultaneousbestapproximationofcontinuousJunctionsfromthesetupofanormedspacetothecaseofaHausdorfflocallyconvexspace.

  • 标签: 头声 艺人 切口
  • 简介:Inanabstractsetup,wegetstrongtypeinequalitiesinL~(p+1)byassumingweakorextra-weakinequalitiesinOrliczspaces.Forsomeclassesoffunctions,thenumberpisrelatedtoSimonenkoindices.WeapplytheresultstogetstronginequalitiesformaximalfunctionsassociatedtobestΦ-approximationoperatorsinanOrliczspaceL~Φ.

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  • 简介:Inthispaper,weconsidertheapproximationproblemofstochasticintegralwithrespecttotwo-parameterWienerprocess.Wefirstintroduceakindofsymmetricintegralandproveitobeysthechainrule.Thenweapplyanintegralformulaofboundedvariationfunctionswithtwovariablestoshowtheapproximationtheoremofstochasticintegralintheplane.Inparticular,weprovethatthesymmetricstochasticintegralisstablewhenthelimitistakeninthesenseofL~2convergence.

  • 标签: stochastic SYMMETRIC WIENER apply BROWNIAN varia
  • 简介:Anewmethodologyforprecisegeoiddeterminationwithfinestlocaldetailsbasedonellipsoidalapproximationispresented.Thismethodologyisformulatedthroughthe'fixed-freetwo-boundaryvalueproblem'basedontheobservableofthetypemodulusofgravityintensity,gravityaccelerationandgravitypotentialattheGPSpositionedstations,withsupportoftheknowngeoid'spotentialvalue,W0.

  • 标签: ELLIPSOID APPROXIMATION GEOID DETERMINATION GPS
  • 简介:这篇论文涉及源于分子的成像的区域的一个提出病的问题并且作为BLT被知道问题。用Tikhonov规则化技术,一个二次的优化问题能被提出。我们为调整优化问题的有限元素近似提供改进错误估计。一些数字例子被举表明我们的理论结果。

  • 标签: 误差分析 有限元法 逼近值 X线断层摄影术
  • 简介:在这份报纸,我们讨论夸张正切功能的一些分析性质并且与夸张正切激活函数估计神经网络操作符的一些近似错误。第一,为夸张正切功能的统一的分区的一个方程被给。然后,二种伪插值类型神经网络操作符分别地被构造到近似univariate和bivariate函数。另外,近似的错误借助于功能的连续性的模量被估计。而且为有高顺序衍生物的接近的功能,构造操作员的近似错误被估计。

  • 标签: 双曲正切函数 前馈神经网络 逼近误差 网络运营商 误差估计 函数分析
  • 简介:InthispaperweproposetheqanaloguesofmodifiedBaskakov-Sz′aszoperators.Weestimatethemomentsandestablisheddirectresultsintermofmodulusofcontinuity.Anestimatefortherateofconvergenceandweightedapproximationpropertiesoftheqoperatorsarealsoobtained.

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  • 简介:Multidisciplinaryfeasiblemethod(MDF)isconventionalmethodtomultidisciplinaryoptimization(MDO)andwell-understoodbyusers.Itreducesthedimensionsofthemultidisciplinaryoptimizationproblembyusingthedesignvariablesasindependentoptimizationvariables.However,ateachiterationoftheconventionaloptimizationprocedure,multidisciplinaryanalysis(MDA)isnumerouslyperformedthatresultsinextremeexpenseandlowoptimizationefficiency.TheintrinsicweaknessofMDFisduetothetimesthatitloopfixed-pointiterationsinMDA,whichdriveustoimproveMDFbybuildinginexpensiveapproximationsassurrogatesforexpensiveMDA.AnsimpleexampleispresentedtodemonstratetheusefulnessoftheimprovedMDF.ResultsshowthatasignificantreductioninthenumberofmultidisciplinaryanalysisrequiredforoptimizationisobtainedascomparedwithoriginalMDFandtheefficiencyofoptimizationisincreased.

  • 标签: MDF MDO DACE 近似接近 多域最佳化
  • 简介:Thispaperanalysesthelocalbehaviorofthesimpleoff-diagonalbivariatequadraticfunctionapproximationtoabivariatefunctionwhichhasagivenpowerseriesexpansionabouttheorigin.Itisshownthatthesimpleoff-diagonalbivariatequadraticHermite-Padéformalwaysdefinesabivariatequadraticfunctionandthatthisfunctionisanalyticinaneighbourhoodoftheorigin.NumericalexamplescomparetheobtainedresultswiththeapproximationpowerofdiagonalChisholmapproximantandTaylorpolynomialapproximant.

  • 标签: 存在性 函数逼近 双变量二次函数 Taylor多项式逼近
  • 简介:ThispaperdevelopsanewlowerboundmethodforPOMDPsthatapproximatestheupdateofabeliefbytheupdateofitsnon-zerostates.ItusestheunderlyingMDPtoexploretheoptimalreachablestatespacefrominitialbeliefandselectactionsduringvalueiterations,whichsignificantlyacceleratestheconvergencespeed.Also,analgorithmwhichcollectsandprunesbeliefpointsbasedontheupperandlowerboundsispresented,andexperimentalresultsshowthatitoutperformssomeofthestate-of-artpoint-basedalgorithms.

  • 标签: LOWER BOUND point-based POMDP