Results 11 to 20 of about 203,139 (278)
Several Matrix Euclidean Norm Inequalities Involving Kantorovich Inequality
Journal of Inequalities and Applications, 2009 Kantorovich inequality is a very useful tool to study the inefficiency of the ordinary least-squares estimate with one regressor. When regressors are more than one statisticians have to extend it.
Litong Wang, Hu Yang
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Flag curvatures of the unit sphere in a Minkowski-Randers space [PDF]
AUT Journal of Mathematics and Computing, 2021 On a real vector space $V$, a Randers norm $\hat{F}$ is defined by $\hat{F}=\hat{\alpha}+\hat{\beta}$, where $\hat{\alpha}$ is a Euclidean norm and $\hat{\beta}$ is a covector.
Libing Huang, Haibin Su
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Jurnal Matematika UNAND, 2020 Tulisan ini membahas tentang bilangan bulat Gaussian Z[i]. Bilangan bulat Gaussian didefinisikan sebagai himpunan dari bilangan a+bi dengan a, b adalah bilangan bulat dan i 2 = −1.
ELIZA SURYA NINGSIH +2 more
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Topologies of Bihyperbolic Numbers
Mathematics, 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
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Nihon Kikai Gakkai ronbunshu, 2014 In this paper, we propose to calculate a likelihood based on a quasi-euclidean norm for a fast and robust particle-filter-based self-localization of mobile robots.
Takayuki NAKAMURA, Yuuichi TASHITA
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JMIR mHealth and uHealth, 2022 BackgroundGiven the evolution of processing and analysis methods for accelerometry data over the past decade, it is important to understand how newer summary measures of physical activity compare with established measures.
Marta Karas +7 more
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A generalisation of the fractional Brownian field based on non-Euclidean norms [PDF]
, 2015 We explore a generalisation of the L\'evy fractional Brownian field on the Euclidean space based on replacing the Euclidean norm with another norm. A characterisation result for admissible norms yields a complete description of all self-similar Gaussian ...
Molchanov, Ilya, Ralchenko, Kostiantyn
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Planar separators and the Euclidean norm [PDF]
, 1990 In this paper we show that every 2-connected embedded planar graph with faces of sizes d1.....d f has a simple cycle separator of size 1.58 \(\sqrt {d_1^2 + \cdots + d_f^2 }\)and we give an almost linear time algorithm for finding these separators, O(no(n,n)). We show that the new upper bound expressed as a function of ‖G‖=\(\sqrt {d_1^2 + \cdots + d_f^
Hillel Gazit, Gary L. Miller
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Minimizing the Euclidean Condition Number [PDF]
, 1994 This paper considers the problem of determining the row and/or column scaling of a matrix A that minimizes the condition number of the scaled matrix. This problem has been studied by many authors.
Braatz, Richard D., Morari, Manfred
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Fractional Vector Cross Product in Euclidean 3-Space
International Journal of Analysis and Applications, 2023 In this research a new definition of fractional vector cross product of two vectors in Euclidean 3-space is presented. Using this new definition the formulae for Euclidean norm, fractional triple vector cross product, curl and divergence of fractional ...
Manisha M. Kankarej, Jai P. Singh
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