Results 11 to 20 of about 132,852 (261)
A Union of Euclidean Metric Spaces is Euclidean [PDF]
Discrete Analysis, 2016 A Union of Euclidean Metric Spaces is Euclidean, Discrete Analysis 2016:14, 15pp. A major theme in metric geometry concerns conditions under which it is possible to embed one metric space into another with small distortion. More precisely, if $M_1$ and $
Konstantin Makarychev, Yury Makarychev
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Journal of High Energy Physics, 2017 Supergravity with eight supercharges in a four-dimensional Euclidean space is constructed at the full non-linear level by performing an off-shell time-like reduction of five-dimensional supergravity.
Bernard de Wit, Valentin Reys
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LMS Journal of Computation and Mathematics, 2000 AbstractIn this paper we study number fields which are Euclidean with respect to functions that are different from the absolute value of the norm, namely weighted norms that depend on a real parameter c. We introduce the Euclidean minimum of weighted norms as the set of values of c for which the function is Euclidean, and we show that the Euclidean ...
S.H. Cavallar (Stefania), F. Lemmermeyer
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Euclidean integers, Euclidean ultrafilters, and Euclidean numerosities
, 2022 We introduce axiomatically the ring $\bf{Z}_κ$ of the Euclidean integers, that can be viewed as the ``integral part" of the field $\mathbb{E}$ of Euclidean numbers of [4], where the transfinite sum of ordinal indexed $κ$-sequences of integers is well defined.
Di Nasso, Mauro, Forti, Marco
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Jurnal Teknologi dan Sistem Komputer, 2020 Keberadaan outlier pada dataset dapat menyebabkan rendahnya hasil akurasi pada proses klasifikasi. Outlier pada dataset dapat dihilangkan pada tahapan prapemrosesan algoritme klasifikasi.
Sugriyono Sugriyono, Maria Ulfah Siregar
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Euclidean and Non-Euclidean [PDF]
Nature, 1968 Foundation of Euclidean and Non-Euclidian Geometries According to F. Klein By L. Redei. (International Series of Monographs in Pure and Applied Mathematics, Vol. 97.) Pp. x + 400. (Pergamon: Oxford, London and New York, 1968.) 150s.
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ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization
Journal of Statistical Software, 2020 Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction and regression envelopes, estimation relies on the optimization of likelihood ...
Sean Martin +3 more
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Physical Review X, 2021 Geometrical frustration in thin sheets is ubiquitous across scales in biology and becomes increasingly relevant in technology. Previous research identified the origin of the frustration as the violation of Gauss’s Theorema Egregium.
Emmanuel Siéfert +2 more
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Comparison of distance measurement on k-nearest neighbour in textual data classification
Jurnal Teknologi dan Sistem Komputer, 2020 One algorithm to classify textual data in automatic organizing of documents application is KNN, by changing word representations into vectors. The distance calculation in the KNN algorithm becomes essential in measuring the closeness between data ...
Wahyono Wahyono +4 more
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Metric information in cognitive maps: Euclidean embedding of non-Euclidean environments.
PLoS Computational Biology, 2023 The structure of the internal representation of surrounding space, the so-called cognitive map, has long been debated. A Euclidean metric map is the most straight-forward hypothesis, but human navigation has been shown to systematically deviate from the ...
Tristan Baumann, Hanspeter A Mallot
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