Results 31 to 40 of about 434,585 (264)
Complex Representations of Matrix Semigroups [PDF]
Transactions of the American Mathematical Society, 1991 Let M M be a finite monoid of Lie type (these are the finite analogues of linear algebraic monoids) with group of units
Okniński, Jan, Putcha, Mohan S.
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New Identities and Equation Solutions Involving k-Oresme and k-Oresme–Lucas Sequences
MathematicsNumber sequences are among the research areas of interest in both number theory and linear algebra. In particular, the study of matrix representations of recursive sequences is important in revealing the structural properties of these sequences.
Bahar Demirtürk
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Matrix representation for combinatorics
Journal of Combinatorial Theory, Series A, 1984 Many combinatorial quantities have natural representations in terms of denumerably infinite matrices. For example, the matrix \(B=(B_{ij})\), \(i,j=0,1,2,..\). where \(B_{ij}=\left( \begin{matrix} i\\ j\end{matrix} \right)\) represents the binomial coefficients, and if \(b_ k\) is the k-th Bernoulli number the infinite column vector \(b=(b_ k)\), \(k=0,
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MathematicsThis paper presents a comprehensive survey of the generalization of hybrid numbers and hybrid polynomials, particularly in the fields of mathematics and physics.
Can Kızılateş +2 more
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COMPACT REPRESENTATION OF THE PRIORITY MATRIX WITH HIGH DIMENSIONALITY [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 We propose methods for compact representation of priority matrix with high dimensionality, which is used to describe priority queueing disciplines of demands in systems with nonhomogeneous load.
T. I. Aliev
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Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
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Deep Subspace Clustering with Block Diagonal Constraint
Applied Sciences, 2020 The deep subspace clustering method, which adopts deep neural networks to learn a representation matrix for subspace clustering, has shown good performance.
Jing Liu, Yanfeng Sun, Yongli Hu
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Face Recognition Based on Robust Principal Component Analysis and Kernel Sparse Representation [PDF]
Jisuanji gongcheng, 2016 Aiming at the problems that the existing face recognition methods are hard to efficiently overcome the effect of noise and error disturbance (such as illumination,occlusion,and face expression).Kernel sparse representation classification based on Robust ...
LIAO Ruihua,LI Yongfan,LIU Hong
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Matrix representation of octonions and generalizations [PDF]
Journal of Mathematical Physics, 1999 We define a special matrix multiplication among a special subset of 2N×2N matrices, and study the resulting (nonassociative) algebras and their subalgebras. We derive the conditions under which these algebras become alternative nonassociative, and when they become associative.
Daboul, Jamil, Delbourgo, Robert
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas +7 more
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