
name
Kunizheva Larisa Adamovna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• North-Caucasian State Humanitarian Technological Academy
Research interests
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Current rating (overall rating of articles)
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TOP5 co-authors
Articles count: 4
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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DIAMETER AND RADIUS OF THE WEIGHTED PREFRACTAL GRAPH BY A COMPLETE BIPARTITE SEED
01.00.00 Physical-mathematical sciences
Description
Researches of metric characteristics on prefractal graphs are known tasks. Such tasks arise when determining estimates of length, of depth, of width of the graph. Also these questions arise when determining results of optimization of these tasks of the prefractal graphs. Properties of metric characteristics depend on a trajectory of generation of the prefractal graph and on the characteristic of primings. In this work, metric characteristics on prefractal weighed graphs are investigated, dependence of metric characteristics on a trajectory of a priming and prefractal graphs is revealed. Estimates are obtained for the diameter and radius of the weighted prefractal and fractal graphss
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MULTICRITERIA PROBLEM DEFINITION OF A SELECTION OF PROJECTS TARGETED PROGRAMS
01.00.00 Physical-mathematical sciences
Description
In the article, we have considered the economic-mathematical model of selection of projects targeted programs on the example of the Russian Federation. The article also defines criteria of their distribution. We have proposed the parallel algorithm with the guaranteed estimates of the allocation of graph
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ESTIMATION OF VIRUSES DISTRIBUTION AREA DIAMETER USING MODELS ON PREFRACTAL GRAPHS
01.00.00 Physical-mathematical sciences
Description
The article investigates the problem of estimation of diameters of prefractal graphs with priming stars and with full priming which contiguity of old edges in a trajectory isn't broken on spectra
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RECOGNITION OF PRE-FRACTAL COUNT, DESCENDANT COMPLETE DICOTYLEDONOUS PRIMER
01.00.00 Physical-mathematical sciences
Description
In the article the algorithms of recognition of structures of complex network systems and objects are offered. As a model of structures we have considered a pre-fractal graph. Necessary and sufficient signs of pre-fractal structures are stated. The theorems proving work of offered algorithms are proved