Results 171 to 180 of about 15,284 (214)
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Linear Predicates on a Cone of a Linear Space
2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT), 2019The restriction of the input set in the form of a positive cone of the space is not always correct. For instance, while studying the organ of vision, people are limited not only to positive, but also to radiation with not very high energies, because excessively intense can disturb the visual organ.
Grygoriy Chetverykov +2 more
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Covering and packing in linear space
Information Processing Letters, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Björklund, Andreas +4 more
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Linear Chaos on Fréchet Spaces
International Journal of Bifurcation and Chaos, 2003This is a survey on recent results about hypercyclicity and chaos of continuous linear operators between complete metrizable locally convex spaces. The emphasis is put on certain contributions from the authors, and related theorems.
Jose Bonet +2 more
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On the Functions on Linear Spaces
Acta Applicandae Mathematicae, 2005Let \({\mathbf V}\) be a linear space of dimension \(n\) over the field \(\text{GF}(q)\), consisting of \(q= p^m\) elements, where \(p\) is prime, and \({\mathbf F}\) be a set of functions from \({\mathbf V}\) to \({\mathbf V}\). The derivative of the function \(f\) and characteristic \(\mu{\mathbf I}(f)\) is considered as a measure of nonlinearity of ...
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Generalized Semiaffine linear spaces
Ricerche di Matematica, 2016In this paper, the authors introduce the notion of ``generalized $T$-semiaffine spaces''. More precisely, let $T$ be a set of natural numbers, and let $S$ be a linear space admitting a finite dimension $n$ (many linear spaces do not admit a dimension) in the sense of \textit{F. Buekenhout} [J. Comb. Theory, Ser.
FERRARA DENTICE, Eva, Iannotta, Giusy
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Designs, Codes and Cryptography, 2002
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Linearization of a Convexity Space
Journal of the London Mathematical Society, 1976Mah, P. +2 more
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Linear Spaces and Linear Operators
1986The present chapter is concerned with the basic setting for a great deal of modern mathematical analysis and applied mathematics: the linear or vector space. In a linear space, addition, subtraction, magnification and contraction of elements are all possible, and sometimes even multiplication between elements is possible.
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