简介:Wewilldefineandcharacterizeε-pseudoChebyshevandε-quasiChebyshevsubspacesofBanachspaces.WewillprovethataclosedsubspaceWisε-pseudoChebyshevifandonlyifWisε-quasiChebyshev.
简介:针对风场对临近空间伪卫星导航精度影响的问题,提出伪卫星抗风场干扰自主导航算法,以提高伪卫星的导航精度。首先,将风场模型加入伪卫星SINS/CNS/SAR组合导航的量测模型中,建立风场干扰下的SINS/CNS/SAR组合导航系统模型;然后,设计自适应UPF非线性滤波算法,将该算法用于SINS/CNS/SAR组合导航解算中,分别在考虑风场干扰和不考虑风场干扰的情况下,利用UKF、UPF和自适应UPF算法对临近空间伪卫星组合导航系统误差进行估计。仿真结果表明,在考虑风场干扰的条件下,提出的自适应UPF算法在东向、北向和天向的速度误差均控制在±0.21m/s以内,误差大小分别是现有的UKF和UPF的1/5和1/3。该算法能有效抑制风场对导航解算精度的影响,提高伪卫星的定位精度。
简介:StabilizedorChebyshevexplicitmethodshavebeenwidelyusedinthepasttosolvestiffordinarydifferentialequations.MakinguseofspecialpropertiesofChebyshev-likepolynomials,thesemethodshavefavorablestabilitypropertiescomparedtostandardexplicitmethodswhileremainingexplicit.Anewclassofsuchmethods,calledROCK,introducedin[Numer.Math.,90,1-18,2001]hasrecentlybeenextendedtostiffstochasticdifferentialequationsunderthenameS-ROCK[C.R.Acad.Sci.Paris,345(10),2007andCommun.Math.Sci,6(4),2008].InthispaperwediscusstheextensionoftheS-ROCKmethodstosystemswithdiscretenoiseandproposeanewclassofmethodsforsuchproblems,theT-ROCKmethods.Onemotivationforsuchmethodsisthesimulationofmulti-scaleorstiffchemicalkineticsystemsandsuchsystemsarethefocusofthispaper,butournewmethodscouldpotentiallybeinterestingforotherstiffsystemswithdiscretenoise.TwoversionsoftheT-ROCKmethodsarediscussedandtheirstabilitybehaviorisanalyzedonatestproblem.ComparedtotheT-leapingmethod,asignificantspeed-upcanbeachievedforsomestiffkineticsystems.Thebehavioroftheproposedmethodsaretestedonseveralnumericalexperiments.
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简介:Weraiseandpartlyanswerthequestion:whetherthereexistsaMarkovsystemwithrespecttowhichthezerosoftheChebyshevpolynomialsaredense,butthemaximumlengthofazerofreeintervalofthenthChebyshevpolynomialdoesnottendstozero.Wealsodrawtheconclu-tionthataMarkovsystem,underanadditionalassumption,isdenseifandonlyifthemaxi-mumlengthofazerofreeintervalofthenthassociatedChebyshevpolynomialtendstozero.
简介:Inthispaper,weestablishanewtypeofalternationtheoryformoregeneralrestrictedrangesChebyshevapproximationwithequalities.Theuniquenessandstronguniquenesstheoremsaregiven.Applyingtheresults,weobtainthealternationtheoremanduniquenesstheoremforbestcoposiliveapproximation.
简介:在一致凸的Banach空间中,采用新的证明方法研究了严格渐近伪压缩映象和渐近非膨胀映象带误差的修正的Mann和Ishikawa迭代程序的收敛性问题,不要求定义域、值域有界,且迭代系数更简单.
简介:设X是一致光滑的Banach空间,T:D(T)属于X→2^x是局部严格伪压缩映射且有不动点.设Q是从X到D(T)上的非扩张保核映射.任取x0∈D(T)归纳定义:xn+1=Qpл,pn∈(1-cn)xn+cnTQyn,yn∈(1-dn)xn+dnTxn.如果存在有界序列{wn}和{zn},wn∈TQyn,zn∈Txn.则{xn}强收敛于T的唯一不动点.其中数列{cn}和{dn}满足适当条件.
简介:ONEXCHANGEALGORITHMFORNONLINEARBESTCHEBYSHEVAPPROXIMATIONWITH LGHCONDITIONXiongGuijing(熊规景);WeiDan(韦旦)(Inst.ofMath.Sci.,Chin....
简介:性质awc1被许多作者使用由弱Chebyshevsubspaces的元素有关近似获得结果。在这份报纸,作者在细节学习这个性质,由收集有关它并且由发现新的散布结果。
简介:Thepaperproposesanovelalgorithmtogettheencryptionmatrix.Firstly,achaoticsequencegeneratedbyChebyshevchaoticneuralnetworksisconvertedintoaseriesoflow-orderintegermatricesfromwhichavailableencryptionmatricesareselected.Then,ahigherorderencryptionmatrixrelatingrealworldapplicationisconstructedbymeansoftensorproductionmethodbasedonselectedencryptionmatrices.Theresultsshowthattheproposedalgorithmcanproducea'one-timepadcipher'encryptionmatrixwithhighsecurity;andtheencryptionresultshavegoodchaosandauto-correlationwiththenaturalfrequencyoftheplaintextbeinghiddenandhomogenized.
简介:Itwillbedeterminedunderwhatconditionstypesofproximinalityaretransmittedtoandfromquotientspaces.Inthefinalsection,bymanyexamplesweshowthattypesofproximinalityofsubspacesinBanachspacescannotbepreservedbyequivalentnorms.