Results 11 to 20 of about 100,624 (168)
Stochastic determination of matrix determinants [PDF]
8 pages, 5 ...
Dorn, S., Enßlin, T.
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Best approximation of κ-random operator inequalities in matrix MB-algebras
We introduce a class of stochastic matrix control functions and apply them to stabilize pseudo stochastic κ-random operator inequalities in matrix MB-algebras.
Masoumeh Madadi +3 more
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The article considers second-order system of linear stochastic partial differential equations of hyperbolic type with Goursat boundary conditions. Earlier, in a number of papers, representations of the solution Goursat problem for linear stochastic ...
K.B. Mansimov, R.O. Mastaliyev
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The spectrum of two interesting stochastic matrices
The spectrum of two interesting stochastic matrices appearing in an engineering paper is completely determined. As a result, an inequality conjectured in that paper, involving two second largest eigenvalues, is easily proved.
Anghel N.
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Markov model of representation of sensual images for the formation of the model of the outside world
The aim of the study is a probabilistic description of the functioning of the cognitive system, taking into account its internal logic and interaction with the external environment.Such concepts of cognitive theory as sensory imaginative representations,
A. A. Solodov
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Stochastic Matrix Factorization [PDF]
24 pages, 4 figures, 5 ...
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Inclusion regions and bounds for the eigenvalues of matrices with a known eigenpair
Let (λ, v) be a known real eigenpair of an n×n real matrix A. In this paper it is shown how to locate the other eigenvalues of A in terms of the components of v. The obtained region is a union of Gershgorin discs of the second type recently introduced by
Marsli Rachid, Hall Frank J.
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The observable representation (OR) is an embedding of the space on which a stochastic dynamics is taking place into a low dimensional Euclidean space. The most significant feature of the OR is that it respects the dynamics.
L. S. Schulman
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A Geršgorin-type eigenvalue localization set with n parameters for stochastic matrices
A set in the complex plane which involves n parameters in [0, 1] is given to localize all eigenvalues different from 1 for stochastic matrices. As an application of this set, an upper bound for the moduli of the subdominant eigenvalues of a stochastic ...
Wang Xiaoxiao, Li Chaoqian, Li Yaotang
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The problem of synthesis of stochastic sensitivity for equilibrium modes in nonlinear randomly forced dynamical systems with incomplete information is considered.
Irina Bashkirtseva
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