Results 21 to 30 of about 1,045,743 (273)
Bound for the largest singular value of nonnegative rectangular tensors
In this paper, we give a new bound for the largest singular value of nonnegative rectangular tensors when m = n, which is tighter than the bound provided by Yang and Yang in “Singular values of nonnegative rectangular tensors”, Front. Math.
He Jun +4 more
doaj +1 more source
An S-type singular value inclusion set for rectangular tensors
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
doaj +1 more source
Schur Complement-Based Infinity Norm Bounds for the Inverse of GDSDD Matrices
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
doaj +1 more source
A basis of common approach to the development of universal steganalysis methods for digital images
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
doaj +1 more source
Generalisation of Levine's prediction for the distribution of freezing temperatures of droplets: A general singular model for ice nucleation [PDF]
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.
core +3 more sources
5 pages, no figures; a few clarifying comments ...
Horowitz, Gary T., Myers, Robert
openaire +2 more sources
New inclusion sets for singular values
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
doaj +1 more source
A Singular Value Thresholding Algorithm for Matrix Completion [PDF]
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood as the convex relaxation of a rank minimization problem and arises in ...
Argyriou A. +3 more
core +2 more sources
On a Matrix Inequality Related to the Distillability Problem
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
doaj +1 more source
An inequality for the matrix pressure function and applications [PDF]
We prove an a priori lower bound for the pressure, or $p$-norm joint spectral radius, of a measure on the set of $d \times d$ real matrices which parallels a result of J. Bochi for the joint spectral radius.
Morris, Ian D.
core +2 more sources

