Results 31 to 40 of about 93,156 (306)

On geometry on a two-dimensional plane in a five-dimensional pseudo-Euclidean space of index two [PDF]

open access: yesE3S Web of Conferences
The study of the geometry of surfaces having a codimension greater than one in multidimensional spaces is one of the most difficult problems in geometry. When the multidimensional geometry under consideration has a pseudo-Euclidean metric, its complexity
Mamadaliev Botirjon   +2 more
doaj   +1 more source

Topologies of Bihyperbolic Numbers

open access: yesMathematics, 2022
In this paper, we establish a correlation between the bihyperbolic numbers set and the semi-Euclidean space. There are three different norms on the semi-Euclidean space that allow us to define three different hypersurfaces on semi-Euclidean space. Hence,
Ana Savić   +3 more
doaj   +1 more source

Equiangular Subspaces in Euclidean Spaces [PDF]

open access: yesDiscrete & Computational Geometry, 2018
A set of lines through the origin is called equiangular if every pair of lines defines the same angle, and the maximum size of an equiangular set of lines in $\mathbb{R}^n$ was studied extensively for the last 70 years. In this paper, we study analogous questions for $k$-dimensional subspaces.
Balla, Igor, Sudakov, Benny
openaire   +4 more sources

ETEA: A euclidean minimum spanning tree-Based evolutionary algorithm for multiobjective optimization [PDF]

open access: yes, 2013
© the Massachusetts Institute of TechnologyAbstract The Euclidean minimum spanning tree (EMST), widely used in a variety of domains, is a minimum spanning tree of a set of points in the space, where the edge weight between each pair of points is their ...
Yang, S   +8 more
core   +1 more source

Uniform Page Migration Problem in Euclidean Space

open access: yesAlgorithms, 2016
The page migration problem in Euclidean space is revisited. In this problem, online requests occur at any location to access a single page located at a server.
Amanj Khorramian, Akira Matsubayashi
doaj   +1 more source

Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism

open access: yesIEEE Access, 2022
Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space.
Hui He   +3 more
doaj   +1 more source

On a class of surfaces in the euclidean space

open access: yesCommunications, Faculty Of Science, University of Ankara Series A1Mathematics and Statistics, 2002
This work represents a brief report on a special class of 2-D submanifolds of Euclidean spaces. For a good understanding of this paper, the reader is expected to be familiar with semiparallel \(n\)-dimensional submanifolds in \((n+d)\)-dimensional Euclidean spaces. In this sense, the reviewer recommends Thm. 2.2. of [\textit{J.
Özgür, Cihan   +2 more
openaire   +6 more sources

On Euclidean corrections for non-Euclidean dissimilarities [PDF]

open access: yes, 2008
Non-Euclidean dissimilarity measures can be well suited for building representation spaces that are more beneficial for pattern classification systems than the related Euclidean ones [1,2].
Robert P. W. Duin   +11 more
core   +1 more source

Zero energy scattering calculation in Euclidean space

open access: yesPhysics Letters B, 2016
We show that the Bethe–Salpeter equation for the scattering amplitude in the limit of zero incident energy can be transformed into a purely Euclidean form, as it is the case for the bound states.
J. Carbonell, V.A. Karmanov
doaj   +1 more source

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