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NAFASS in action: How to control randomness? in this paper gives a chance to manage with random functions that describe many complex systems, where
Mathematical Modeling of H-processes-output"
variables’s modeling is investigated. The fact that when the trained parametrical models of "tubular
Mathematical Modeling of H-processes-output"
variables’s modeling is investigated. The fact that when the trained parametrical models of "tubular
Spectra and Variability of a Sample of JVAS Sources time to have variations with typical time scales of 8 to 35 days. Spectra of the variable components
Every cubic Boolean function in 8 variables is the sum of not more than 4 bent functionsEvery cubic Boolean function in 8 variables is the sum of not more than 4 bent functions
Elliptic Functional Differential Equations with Contractions and Extensions of Independent Variables of the Unknown Function Variables of the Unknown Function
Complexity of quantum uniform and nonuniform automata enough. We show that when considering "almost all Boolean functions" on n variables our entropic lower
SKETCH OF THE THEORY OF GROWTH OF HOLOMORPHIC FUNCTIONS IN A MULTIDIMENSIONAL TORUS of growth of entire functions of several complex variables. This approach is illustrated in the case where
Well-posedness of the Cauchy problem for multidimensional difference equations in rational conesThe Cauchy problem is studied for a multidimensional difference equation in a class of
functions
Probability Distribution Functions of the Sum of Squares of Random Variables in the Non-zero Mathematical ExpectationsThe article concluded probability distribution functions sum of the squares of the random variables
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