Search results for "Separable space"

showing 7 items of 67 documents

Gaussian surface measures and the radon transform on separable banach spaces

1980

Pure mathematicssymbols.namesakeRadon transformBanach spaceGaussian surfacesymbolsBanach manifoldConditional expectationMathematicsSeparable space
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Set valued integrability in non separable Fréchet spaces and applications

2016

AbstractWe focus on measurability and integrability for set valued functions in non-necessarily separable Fréchet spaces. We prove some properties concerning the equivalence between different classes of measurable multifunctions. We also provide useful characterizations of Pettis set-valued integrability in the announced framework. Finally, we indicate applications to Volterra integral inclusions.

Set (abstract data type)Pure mathematicsSettore MAT/05 - Analisi MatematicaGeneral Mathematics010102 general mathematics010103 numerical & computational mathematics0101 mathematicsmeasurable multifunction integrable multifunction non-separable Fr'{e}chet space Volterra inclusion.01 natural sciencesSeparable spaceMathematicsMathematica Slovaca
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Homogeneous Suslinian Continua

2011

AbstractA continuumis said to be Suslinian if it does not contain uncountably many mutually exclusive non-degenerate subcontinua. Fitzpatrick and Lelek have shown that a metric Suslinian continuum X has the property that the set of points at which X is connected im kleinen is dense in X. We extend their result to Hausdorff Suslinian continua and obtain a number of corollaries. In particular, we prove that a homogeneous, non-degenerate, Suslinian continuum is a simple closed curve and that each separable, non-degenerate, homogenous, Suslinian continuum is metrizable.

Set (abstract data type)symbols.namesakePure mathematicsProperty (philosophy)Continuum (topology)General MathematicsMetrization theoremMetric (mathematics)symbolsHausdorff spaceJordan curve theoremSeparable spaceMathematicsCanadian Mathematical Bulletin
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Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: Lp and almost sure rates of convergence

2016

The geometric median, also called L 1 -median, is often used in robust statistics. Moreover, it is more and more usual to deal with large samples taking values in high dimensional spaces. In this context, a fast recursive estimator has been introduced by Cardot et?al. (2013). This work aims at studying more precisely the asymptotic behavior of the estimators of the geometric median based on such non linear stochastic gradient algorithms. The L p rates of convergence as well as almost sure rates of convergence of these estimators are derived in general separable Hilbert spaces. Moreover, the optimal rates of convergence in quadratic mean of the averaged algorithm are also given.

Statistics and ProbabilityNumerical AnalysisRobust statisticsHilbert spaceEstimatorContext (language use)010103 numerical & computational mathematicsGeometric median01 natural sciencesSeparable space010104 statistics & probabilitysymbols.namesakeLaw of large numbersConvergence (routing)symbols0101 mathematicsStatistics Probability and UncertaintyAlgorithmMathematicsJournal of Multivariate Analysis
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On solving separable block tridiagonal linear systems using a GPU implementation of radix-4 PSCR method

2018

Partial solution variant of the cyclic reduction (PSCR) method is a direct solver that can be applied to certain types of separable block tridiagonal linear systems. Such linear systems arise, e.g., from the Poisson and the Helmholtz equations discretized with bilinear finite-elements. Furthermore, the separability of the linear system entails that the discretization domain has to be rectangular and the discretization mesh orthogonal. A generalized graphics processing unit (GPU) implementation of the PSCR method is presented. The numerical results indicate up to 24-fold speedups when compared to an equivalent CPU implementation that utilizes a single CPU core. Attained floating point perfor…

Tridiagonal linear systemsProgramvaruteknikComputer Networks and CommunicationsComputer sciencePartial solution techniquereduction010103 numerical & computational mathematicsParallel computingtietotekniikka01 natural scienceslineaariset mallitTheoretical Computer ScienceSeparable spaceinformation technologyArtificial IntelligenceSeparable block tridiagonal linear systemBlock (telecommunications)Fast direct solverRadix0101 mathematicsta113Computer Sciencesta111Linear systemSoftware EngineeringGPU computingSolverComputer Science::Numerical Analysis010101 applied mathematicsPSCR methodDatavetenskap (datalogi)partial solution techniqueHardware and ArchitectureComputer Science::Mathematical Softwarepienennyslinear modelsSoftwareRoofline modelCyclic reductionJournal of Parallel and Distributed Computing
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Almost square Banach spaces

2014

We single out and study a natural class of Banach spaces -- almost square Banach spaces. In an almost square space we can find, given a finite set $x_1,x_2,\ldots,x_N$ in the unit sphere, a unit vector $y$ such that $\|x_i-y\|$ is almost one. These spaces have duals that are octahedral and finite convex combinations of slices of the unit ball of an almost square space have diameter 2. We provide several examples and characterizations of almost square spaces. We prove that non-reflexive spaces which are M-ideals in their biduals are almost square. We show that every separable space containing a copy of $c_0$ can be renormed to be almost square. A local and a weak version of almost square spa…

Unit sphereMathematics::Functional AnalysisApplied Mathematics010102 general mathematicsBanach spaceSpace (mathematics)01 natural sciencesSquare (algebra)Functional Analysis (math.FA)Separable spaceMathematics - Functional Analysis010101 applied mathematicsCombinatoricsUnit vectorFOS: MathematicsDual polyhedron0101 mathematics46B20 46B04 46B07Finite setAnalysisMathematicsJournal of Mathematical Analysis and Applications
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Gaussian plane and spherical means in separable Hilbert spaces

1982

symbols.namesakeHilbert manifoldCovariance operatorHilbert R-treePlane (geometry)GaussianRadon measureMathematical analysisHilbert spacesymbolsMathematicsSeparable space
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