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The probability of successful allocation of particles in cells (the general case) contains m particles and has allocation as a general allocation scheme; (b) each cell contains at most r
Asymptotics of conditional probabilities of succesful allocation of random number of particles into cells particles into N cells, 1 ≤ i ≤ n, for fixed Z n = (ζ 1 , .., ζ n ) these allocation schemes are independent
On the probability of the event: In n generalized allocation schemes the volume of each cell does not exceed r of allocating particles in cells. We study the probability of the event: for each generalized allocation scheme
On maximal quantity of particles of one color in analogs of multicolor urn schemes© 2017, Allerton Press, Inc.We deal with analogs of multicolor urn schemes such that the number
On maximal quantity of particles of one color in analogs of multicolor urn schemes© 2017, Allerton Press, Inc.We deal with analogs of multicolor urn schemes such that the number
On the probability of the event: In n generalized allocation schemes the volume of each cell does not exceed r of allocating particles in cells. We study the probability of the event: for each generalized allocation scheme
The probability of a successful allocation of ball groups by boxesLet p = PNn be the probability of a successful allocation of n groups of distinguishable balls in N
The probability of a successful allocation of ball groups by boxesLet p = PNn be the probability of a successful allocation of n groups of distinguishable balls in N
Asymptotics of conditional probabilities of succesful allocation of random number of particles into cells particles into N cells, 1 ≤ i ≤ n, for fixed Z n = (ζ 1 , .., ζ n ) these allocation schemes are independent
Application of the conditional gradient method to resource allocation in wireless networks is solved with conditional gradient method for different information exchange schemes for participants
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