Results 31 to 40 of about 3,261 (128)
Some properties of analytic in a ball functions of bounded $\mathbf{L}$-index in joint variables
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Bandura, Andriy, Skaskiv, Oleh
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Hayman’s theorem for analytic functions in a complete Reinhardt domain
For functions analytic in a complete multiple circular domain $\mathbb{G}\subset\mathbb{C}^n$ there are established a counterpart of Haymans' Theorem.
T. M. Salo
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Entire Functions of Bounded L-Index: Its Zeros and Behavior of Partial Logarithmic Derivatives
In this paper, we obtain new sufficient conditions of boundedness of L-index in joint variables for entire function in Cn functions. They give an estimate of maximum modulus of an entire function by its minimum modulus on a skeleton in a polydisc and ...
Oleh Skaskiv, Andriy Bandura
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Analytic in an unit ball functions of bounded L-index in joint variables
A concept of boundedness of the L-index in joint variables (see in Bandura A. I., Bordulyak M. T., Skaskiv O. B. Sufficient conditions of boundedness of L-index in joint variables, Mat. Stud.
Bandura, A.I., Skaskiv, O.B.
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We generalized some criteria of boundedness of $\mathbf{L}$-index in joint variables for analytic functions in a complete multiple circular domain, where $\mathbf{L}(z)=(l_1(z_1,z_2,\ldots,z_n),$ $l_{2}(z_1,z_2,\ldots,z_n),$ $\ldots,$ $l_{n}(z_1,z_2 ...
A. I. Bandura, T.M. Salo
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We generalize some criteria of boundedness of L-index in joint variables for analytic in an unit ball functions. Our propositions give an estimate maximum modulus of the analytic function on a skeleton in polydisc with the larger radii by maximum modulus
BANDURA, Andriy, SKASKIV, Oleh
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Entropy Region and Network Information Theory [PDF]
This dissertation takes a step toward a general framework for solving network information theory problems by studying the capacity region of networks through the entropy region.
Sormeh Shadbakht, Shadbakht, Sormeh
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Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances [PDF]
This paper develops a unified framework for fixed and random effects estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroskedasticity of unknown form in the idiosyncratic error component.
Badinger, Harald, Egger, Peter
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Decision Making in Uncertain and Changing Environments [PDF]
We consider an agent who has to repeatedly make choices in an uncertain and changing environment, who has full information of the past, who discounts future payoffs, but who has no prior.
Karl Schlag, Andriy Zapechelnyuk
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Bounded Approximate Decentralised Coordination via the Max-Sum Algorithm
In this paper we propose a novel approach to decentralised coordination, that is able to efficiently compute solutions with a guaranteed approximation ratio. Our approach is based on a factor graph representation of the constraint network.
Farinelli, A. +14 more
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