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learning. The authors also describe the basic functional modules of modern distance learning management

Some statements related to the distribution of small subgraphs in a sequence of random distance

term. Using the Bessel functions we prove one dimensional inequality and their multidimensional analogs

the gradient of the distance function from a point to the boundary of the domain. For test functions we

inequalities described by convex functions is estimated. As consequences, estimates for the distance from a

of the corresponding sequences of distance functions from boundary as well as convergence almost everywhere

distance function

. meromorphic function f: Ω → Π at a point z0 εΩ. The bounds depend on the densities λΩ and λΠ of the Poincaré

term. Using the Bessel functions we prove one dimensional inequality and their multidimensional analogs

powersof the distance to the boundary of the domain.We also prove that some function depending onthe Bessel

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