Zobrazeno 1 - 10
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pro vyhledávání: '"Ulyanov, A. V."'
Autor:
Ulyanov, Vladimir V.
De Moivre (1733), investigating the limit distribution of the binomial distribution, was the first to discover the existence of the normal distribution and the central limit theorem. In this review article, we briefly recall the history of classical
Externí odkaz:
http://arxiv.org/abs/2405.19828
Strategy of intelligent cognitive control systems based on quantum and soft computing presented. Quantum self-organization knowledge base synergetic effect extracted from intelligent fuzzy controllers imperfect knowledge bases described. That technol
Externí odkaz:
http://arxiv.org/abs/2307.06858
There are important algorithms built upon a mixture of basic techniques described; for example, the Fast Fourier Transform (FFT) employs both Divide-and-Conquer and Transform-and-Conquer techniques. In this article, the evolution of a quantum algorit
Externí odkaz:
http://arxiv.org/abs/2306.03233
A generalized strategy for the design of intelligent robust control systems based on quantum / soft computing technologies is described. The reliability of hybrid intelligent controllers increase by providing the ability to self-organize of imperfect
Externí odkaz:
http://arxiv.org/abs/2305.11254
Autor:
Ulyanov, Sergey V., Ulyanov, Viktor S.
The difference between classical and quantum algorithms (QA) is following: problem solved by QA is coded in the structure of the quantum operators. Input to QA in this case is always the same. Output of QA says which problem coded. In some sense, giv
Externí odkaz:
http://arxiv.org/abs/2304.13703
Autor:
Ulyanov, Sergey V., Ulyanov, Viktor S.
The simplest technique for simulating a quantum algorithm - QA described based on the direct matrix representation of the quantum operators. Using this approach, it is relatively simple to simulate the operation of a QA and to perform fidelity analys
Externí odkaz:
http://arxiv.org/abs/2304.09745
Let $(X_{i}, i\in J)$ be a family of locally dependent nonnegative integer-valued random variables, and consider the sum $W=\sum\nolimits_{i\in J}X_i$. We first establish a general error upper bound for $d_{TV}(W, M)$ using Stein's method, where the
Externí odkaz:
http://arxiv.org/abs/2209.09770
There has been a renewed interest in exponential concentration inequalities for stochastic processes in probability and statistics over the last three decades. De la Pe\~{n}a \cite{d} establishes a nice exponential inequality for discrete time locall
Externí odkaz:
http://arxiv.org/abs/2204.08602
The "typical" asymptotic behavior of the weighted sums of independent random vectors in $k$-dimensional space is considered. It is shown that in this case the rate of convergence in the multivariate central limit theorem is of order $O(1/n)$. This ex
Externí odkaz:
http://arxiv.org/abs/2112.05815
Autor:
Ulyanov, Vladimir V.1,2 (AUTHOR) vulyanov@hse.ru
Publikováno v:
Mathematics (2227-7390). Jul2024, Vol. 12 Issue 14, p2276. 17p.