695,985 research outputs found

    Top-Down Skiplists

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    We describe todolists (top-down skiplists), a variant of skiplists (Pugh 1990) that can execute searches using at most log2εn+O(1)\log_{2-\varepsilon} n + O(1) binary comparisons per search and that have amortized update time O(ε1logn)O(\varepsilon^{-1}\log n). A variant of todolists, called working-todolists, can execute a search for any element xx using log2εw(x)+o(logw(x))\log_{2-\varepsilon} w(x) + o(\log w(x)) binary comparisons and have amortized search time O(ε1logw(w))O(\varepsilon^{-1}\log w(w)). Here, w(x)w(x) is the "working-set number" of xx. No previous data structure is known to achieve a bound better than 4log2w(x)4\log_2 w(x) comparisons. We show through experiments that, if implemented carefully, todolists are comparable to other common dictionary implementations in terms of insertion times and outperform them in terms of search times.Comment: 18 pages, 5 figure

    Top-down Transformation Choice

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    Simple models are preferred over complex models, but over-simplistic models could lead to erroneous interpretations. The classical approach is to start with a simple model, whose shortcomings are assessed in residual-based model diagnostics. Eventually, one increases the complexity of this initial overly simple model and obtains a better-fitting model. I illustrate how transformation analysis can be used as an alternative approach to model choice. Instead of adding complexity to simple models, step-wise complexity reduction is used to help identify simpler and better-interpretable models. As an example, body mass index distributions in Switzerland are modelled by means of transformation models to understand the impact of sex, age, smoking and other lifestyle factors on a person's body mass index. In this process, I searched for a compromise between model fit and model interpretability. Special emphasis is given to the understanding of the connections between transformation models of increasing complexity. The models used in this analysis ranged from evergreens, such as the normal linear regression model with constant variance, to novel models with extremely flexible conditional distribution functions, such as transformation trees and transformation forests

    Entanglement entropy in top-down models

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    We explore holographic entanglement entropy in ten-dimensional supergravity solutions. It has been proposed that entanglement entropy can be computed in such top-down models using minimal surfaces which asymptotically wrap the compact part of the geometry. We show explicitly in a wide range of examples that the holographic entanglement entropy thus computed agrees with the entanglement entropy computed using the Ryu-Takayanagi formula from the lower-dimensional Einstein metric obtained from reduction over the compact space. Our examples include not only consistent truncations but also cases in which no consistent truncation exists and Kaluza-Klein holography is used to identify the lower-dimensional Einstein metric. We then give a general proof, based on the Lewkowycz-Maldacena approach, of the top-down entanglement entropy formula.Comment: 40 page

    Top-down Holographic Glueball Decay Rates

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    We present new results on the decay patterns of scalar and tensor glueballs in the top-down holographic Witten-Sakai-Sugimoto model. This model, which has only one free dimensionless parameter, gives semi-quantitative predictions for the vector meson spectrum, their decay widths, and also a gluon condensate in agreement with SVZ sum rules. The holographic predictions for scalar glueball decay rates are compared with experimental data for the widely discussed gluon candidates f0(1500) and f0(1710).Comment: 9 pages, 2 figures, 2 tables; to appear in the Proceedings of the XIth Conference Quark Confinement and the Hadron Spectrum, St. Petersburg, September 8-12, 201

    Top-Down Approach to Unified Supergravity Models

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    We introduce a new approach for studying unified supergravity models. In this approach all the parameters of the grand unified theory (GUT) are fixed by imposing the corresponding number of low energy observables. This determines the remaining particle spectrum whose dependence on the low energy observables can now be investigated. We also include some SUSY threshold corrections that have previously been neglected. In particular the SUSY threshold corrections to the fermion masses can have a significant impact on the Yukawa coupling unification.Comment: 19 pages, uuencoded compressed ps file, DESY 94-057 (paper format corrected
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