Standard

Random hypernets in reliability analysis of multilayer networks. / Rodionov, Alexey; Rodionova, Olga.

в: Lecture Notes in Electrical Engineering, Том 343, 2015, стр. 307-315.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Rodionov, A & Rodionova, O 2015, 'Random hypernets in reliability analysis of multilayer networks', Lecture Notes in Electrical Engineering, Том. 343, стр. 307-315. https://doi.org/10.1007/978-3-319-15765-8_17

APA

Rodionov, A., & Rodionova, O. (2015). Random hypernets in reliability analysis of multilayer networks. Lecture Notes in Electrical Engineering, 343, 307-315. https://doi.org/10.1007/978-3-319-15765-8_17

Vancouver

Rodionov A, Rodionova O. Random hypernets in reliability analysis of multilayer networks. Lecture Notes in Electrical Engineering. 2015;343:307-315. doi: 10.1007/978-3-319-15765-8_17

Author

Rodionov, Alexey ; Rodionova, Olga. / Random hypernets in reliability analysis of multilayer networks. в: Lecture Notes in Electrical Engineering. 2015 ; Том 343. стр. 307-315.

BibTeX

@article{c9727779e6a64ec99e8fa161b56ea57c,
title = "Random hypernets in reliability analysis of multilayer networks",
abstract = "The general approach to constructing structural models of non-stable multi-level networks is proposed. This approach is based on hypernets—relatively new mathematical object, which is successively used for modeling different multilevel networks in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Russia, for last 30 years. Hypernets allow standard description of neighboring levels interconnection in a mathematically correct way. Using this mathematical object allows easy modifications of data with model changing and/or development and efficiently organize data search for different computational or optimization algorithms. Optimization of mapping of secondary (logical) network onto structure of unreliable primary (physical) network is considered as example.",
keywords = "Hypernets, Modeling, Multilevel networks, Reliability analysis",
author = "Alexey Rodionov and Olga Rodionova",
year = "2015",
doi = "10.1007/978-3-319-15765-8_17",
language = "English",
volume = "343",
pages = "307--315",
journal = "Lecture Notes in Electrical Engineering",
issn = "1876-1100",
publisher = "Springer-Verlag GmbH and Co. KG",

}

RIS

TY - JOUR

T1 - Random hypernets in reliability analysis of multilayer networks

AU - Rodionov, Alexey

AU - Rodionova, Olga

PY - 2015

Y1 - 2015

N2 - The general approach to constructing structural models of non-stable multi-level networks is proposed. This approach is based on hypernets—relatively new mathematical object, which is successively used for modeling different multilevel networks in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Russia, for last 30 years. Hypernets allow standard description of neighboring levels interconnection in a mathematically correct way. Using this mathematical object allows easy modifications of data with model changing and/or development and efficiently organize data search for different computational or optimization algorithms. Optimization of mapping of secondary (logical) network onto structure of unreliable primary (physical) network is considered as example.

AB - The general approach to constructing structural models of non-stable multi-level networks is proposed. This approach is based on hypernets—relatively new mathematical object, which is successively used for modeling different multilevel networks in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Russia, for last 30 years. Hypernets allow standard description of neighboring levels interconnection in a mathematically correct way. Using this mathematical object allows easy modifications of data with model changing and/or development and efficiently organize data search for different computational or optimization algorithms. Optimization of mapping of secondary (logical) network onto structure of unreliable primary (physical) network is considered as example.

KW - Hypernets

KW - Modeling

KW - Multilevel networks

KW - Reliability analysis

UR - http://www.scopus.com/inward/record.url?scp=84945920067&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-15765-8_17

DO - 10.1007/978-3-319-15765-8_17

M3 - Article

AN - SCOPUS:84945920067

VL - 343

SP - 307

EP - 315

JO - Lecture Notes in Electrical Engineering

JF - Lecture Notes in Electrical Engineering

SN - 1876-1100

ER -

ID: 25330633