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Titlebook: Information Technologies and Mathematical Modelling; 13th International S Alexander Dudin,Anatoly Nazarov,Alexander Gortsev Conference proc

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樓主: Menthol
21#
發(fā)表于 2025-3-25 08:17:54 | 只看該作者
Joint Probability Density of the Intervals Length of the Modulated Semi-synchronous Integrated Flowe class of doubly stochastic Poisson processes (DSPPs) with a a piecewise constant intensity process, that are typical for telecommunication networks. To solve this problem, first of all, the probabilistic characteristics of the flow should be found. In this paper we propose a technique for obtainin
22#
發(fā)表于 2025-3-25 14:15:01 | 只看該作者
23#
發(fā)表于 2025-3-25 18:46:10 | 只看該作者
24#
發(fā)表于 2025-3-25 20:52:55 | 只看該作者
Parallelization of the Genetic Algorithm in Training of the Neural Network Architecture with Automaand modification to this method. And contains A comparative analysis of the original algorithm without the use of parallelization with proposed parallelization algorithm by splitting into groups and exchange of individuals between groups.
25#
發(fā)表于 2025-3-26 02:51:44 | 只看該作者
Stationary Distribution Insensitivity of a Closed Queueing Network with Non-active Customers, nodes in queues, being not serviced. For a customer, the opportunity of passing from its ordinary state to the temporarily non-active state (and backwards) is provided. Quantity of work for customer service is a random distributed value. Stationary distribution insensitivity with respect to functio
26#
發(fā)表于 2025-3-26 05:11:48 | 只看該作者
On CLIQUE Problem for Sparse Graphs of Large Dimension,ut graph can have a huge number of vertices. A biphasic algorithm for finding the exact solution of the MCP is proposed in the paper. The first phase of the algorithm is the preprocessing of the input graph by decomposing it into atoms. The second phase of the algorithm reduces to an application for
27#
發(fā)表于 2025-3-26 09:04:49 | 只看該作者
28#
發(fā)表于 2025-3-26 15:52:54 | 只看該作者
29#
發(fā)表于 2025-3-26 20:50:58 | 只看該作者
30#
發(fā)表于 2025-3-26 22:35:43 | 只看該作者
Quasi-geometric and Gamma Approximation for Retrial Queueing Systems,al queueing systems. The description and analysis of the application area of each method for retrial queueing system .|.|1 are given. In addition, the results of both approximations are compared and a table of decision making on the choice of the approximation method are composed. Numerical examples
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