Results 21 to 30 of about 1,040,227 (270)
An S-type singular value inclusion set for rectangular tensors
Journal of Inequalities and Applications, 2017 An S-type singular value inclusion set for rectangular tensors is given. Based on the set, new upper and lower bounds for the largest singular value of nonnegative rectangular tensors are obtained and proved to be sharper than some existing results ...
Caili Sang
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Singular value demodulation of phase-shifted holograms [PDF]
, 2015 We report on phase-shifted holographic interferogram demodulation by singular value decomposition. Numerical processing of optically-acquired interferograms over several modulation periods was performed in two steps : 1- rendering of off-axis complex ...
Atlan, Michael, Lopes, Fernando
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AIMS Mathematics, 2023 The singular value decomposition (SVD) is an important tool in matrix theory and numerical linear algebra. Research on the efficient numerical algorithms for computing the SVD of a matrix is extensive in the past decades.
Yonghong Duan, Ruiping Wen
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Schur Complement-Based Infinity Norm Bounds for the Inverse of GDSDD Matrices
Mathematics, 2022 Based on the Schur complement, some upper bounds for the infinity norm of the inverse of generalized doubly strictly diagonally dominant matrices are obtained. In addition, it is shown that the new bound improves the previous bounds.
Yating Li, Yaqiang Wang
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A basis of common approach to the development of universal steganalysis methods for digital images
Trudy Odesskogo Politehničeskogo Universiteta, 2014 In this paper a new common approach to the organization of steganalysis in digital images is developed. New features of formal parameters defining the image are identified, theoretically grounded and practically tested. For the first time characteristics
Alla А. Kobozeva
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General Relativity and Gravitation, 1995 5 pages, no figures; a few clarifying comments ...
Horowitz, Gary T., Myers, Robert
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New inclusion sets for singular values
Journal of Inequalities and Applications, 2017 In this paper, for a given matrix A = ( a i j ) ∈ C n × n $A=(a_{ij}) \in\mathbb{C}^{n\times n}$ , in terms of r i $r_{i}$ and c i $c_{i}$ , where r i = ∑ j = 1 , j ≠ i n | a i j | $r_{i} = \sum _{j = 1,j \ne i}^{n} {\vert {a_{ij} } \vert }$ , c i = ∑ j =
Jun He +3 more
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Generalisation of Levine's prediction for the distribution of freezing temperatures of droplets: A general singular model for ice nucleation [PDF]
, 2013 Models without an explicit time dependence, called singular models, are widely used for fitting the distribution of temperatures at which water droplets freeze. In 1950 Levine developed the original singular model.
Sear, Richard P.
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On a Matrix Inequality Related to the Distillability Problem
Entropy, 2018 We investigate the distillability problem in quantum information in ℂ d ⊗ ℂ d . One case of the problem has been reduced to proving a matrix inequality when d = 4 .
Yi Shen, Lin Chen
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Singular Vectors From Singular Values
, 2020 8 ...
Xu, Weiwei, Ng, Michael K.
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