177,587 research outputs found

    Differentiation Theory over Infinite-Dimensional Banach Spaces

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    In this paper we study, for any positive integer kk and for any subset\ II\ of \QTR{bf}{N}^{\ast }, the Banach space EIE_{I} of the bounded real sequences {xn}nI\left\{ x_{n}\right\} _{n\in I}, and a measure over \left( \QTR{bf}{R}^{I},\QTR{cal}{B}^{(I)}\right) that generalizes the kk-dimensional Lebesgue one. Moreover, we expose a differentiation theory for the functions defined over this space. The main result of our paper is a change of variables' formula for the integration of the measurable real functions on \left( \QTR{bf}{R}^{I},\QTR{cal}{B}^{(I)}\right) . This change of variables is defined by some infinite-dimensional functions with properties that generalize the analogous ones of the standard finite-dimensional diffeomorphisms

    Change of variables' formula for the integration of the measurable real functions over infinite-dimensional Banach spaces

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    In this paper we study, for any subset II of mathbfNastmathbf{N}^{ast} and for any strictly positive integer kk, the Banach space EIE_{I} of the bounded real sequences leftxnightninIleft{ x_{n} ight} _{nin I}, and a measure over left(mathbfRI,mathcalB(I)ight)left( mathbf{R}^{I},mathcal{B}^{(I)} ight) that generalizes the kk-dimensional Lebesgue one. Moreover, we recall the main results about the differentiation theory over EIE_{I}. The main result of our paper is a change of variables' formula for the integration of the measurable real functions on left(mathbfRI,mathcalB(I)ight)left( mathbf{R}^{I},mathcal{B}^{(I)} ight) . This change of variables is defined by some functions over an open subset of EJE_{J}, with values on EIE_{I}, called left(m,sigmaight)left( m,sigma ight) -general, with properties that generalize the analogous ones of the finite-dimensional diffeomorphisms

    Infinite-dimensional Gaussian change of variables’ formula

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    In this paper, we study the Banach space ∞ of the bounded real sequences, and a measure N(a, ) over (R∞ , B∞ ) analogous to the finite-dimensional Gaussian law. The main result of our paper is a change of variables’ formula for the integration, with respect to N(a, ), of the measurable real functions on (E∞, B∞ (E∞)), where E∞ is the separable Banach space of the convergent real sequences. This change of variables is given by some (m, σ) functions, defined over a subset of E∞, with values on E∞, with properties that generalize the analogous ones of the finite-dimensional diffeomorphisms

    Asymptotic behaviour of a BIPF algorithm with an improper target

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    summary:The BIPF algorithm is a Markovian algorithm with the purpose of simulating certain probability distributions supported by contingency tables belonging to hierarchical log-linear models. The updating steps of the algorithm depend only on the required expected marginal tables over the maximal terms of the hierarchical model. Usually these tables are marginals of a positive joint table, in which case it is well known that the algorithm is a blocking Gibbs Sampler. But the algorithm makes sense even when these marginals do not come from a joint table. In this case the target distribution of the algorithm is necessarily improper. In this paper we investigate the simplest non trivial case, i. e. the 2×2×22\times2\times2 hierarchical interaction. Our result is that the algorithm is asymptotically attracted by a limit cycle in law

    A note on the IPF algorithm when the marginal problem is unsolvable

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    summary:In this paper we analyze the asymptotic behavior of the IPF algorithm for the problem of finding a 2x2x2 contingency table whose pair marginals are all equal to a specified 2x2 table, depending on a parameter. When this parameter lies below a certain threshold the marginal problem has no solution. We show that in this case the IPF has a “period three limit cycle” attracting all positive initial tables, and a bifurcation occur when the parameter crosses the threshold

    An alternate way of collecting, storing, and dissecting Neurospora asci.

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    Tetrad analysis may be accomplished either with ordered asci squeezed from perithecia, or with asci shot as an unordered group at a target slab of agar (Perkins 1966, Neurospora Newsl. 9:11)

    LLNL Site-Specific ASCI Software Quality Engineering Recommended Practices

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    The LLNL Site-Specific Advanced Simulation and Computing (ASCI) Software Quality Engineering Recommended Practices VI.I\u27\u27 document describes a set of recommended software quality engineering (SQE) practices for ASCI code projects at Lawrence Livermore National Laboratory (LLNL). In this context, SQE is defined as the process of building quality into software products by applying the appropriate guiding principles and management practices. Continual code improvement and ongoing process improvement are expected benefits. Certain practices are recommended, although projects may select the specific activities they wish to improve, and the appropriate time lines for such actions. Additionally, projects can rely on the guidance of this document when generating ASCI Verification and Validation (VSrV) deliverables. ASCI program managers will gather information about their software engineering practices and improvement. This information can be shared to leverage the best SQE practices among development organizations. It will further be used to ensure the currency and vitality of the recommended practices. This Overview is intended to provide basic information to the LLNL ASCI software management and development staff from the \u27\u27LLNL Site-Specific ASCI Software Quality Engineering Recommended Practices VI.I\u27\u27 document. Additionally the Overview provides steps to using the \u27\u27LLNL Site-Specific ASCI Software Quality Engineering Recommended Practices VI.I\u27\u27 document. For definitions of terminology and acronyms, refer to the Glossary and Acronyms sections in the \u27\u27LLNL Site-Specific ASCI Software Quality Engineering Recommended Practices VI.I\u2
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