Results 61 to 70 of about 70,207 (165)
THA-surfaces in 3-dimensional Euclidean space
Bendehiba Senoussi +2 more
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Conditional Optimal Sets and the Quantization Coefficients for Some Uniform Distributions
Bucklew and Wise (1982) showed that the quantization dimension of an absolutely continuous probability measure on a given Euclidean space is constant and equals the Euclidean dimension of the space, and the quantization coefficient exists as a finite ...
Evans Nyanney +2 more
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Kinematic Mapping in Semi-Euclidean 4-Space
We study the some algebraic properties of matrix associated to Hamilton operators is defined for semi-quaternions. The kinematic mapping corresponding to these operators in semi-Euclidean 4-space is same as the kinematic mapping of Blaschke and Grünwald ...
Mehdi JAFARI
doaj
Sphere packings in Euclidean space with forbidden distances
In this paper, we study the sphere packing problem in Euclidean space where we impose additional constraints on the separations of the center points. We prove that any sphere packing in dimension $48$ , with spheres of radii r, such that no two ...
Felipe Gonçalves, Guilherme Vedana
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On generalized euclidean and non-euclidean spaces [PDF]
openaire +3 more sources
Searching in Euclidean Spaces with Predictions
We study the problem of searching for a target at some unknown location in $\mathbb{R}^d$ when additional information regarding the position of the target is available in the form of predictions. In our setting, predictions come as approximate distances to the target: for each point $p\in \mathbb{R}^d$ that the searcher visits, we obtain a value $λ(p)$
Cabello, S., Giannopoulos, P.
openaire +3 more sources
Kähler Magnetic Curves in Conformally Euclidean Schwarzschild Space
In this paper, we study the magnetic curves on a Kähler manifold which is conformally equivalent to Euclidean Schwarzschild space. We show that Euclidean Schwarzschild space is locally conformally Kähler and transform it into a Kähler space by applying a
Özgür Kelekçi
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The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space.
Mathilde Papillon +10 more
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Locally peripherally euclidean spaces are locally euclidean [PDF]
openaire +7 more sources

