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A Given Diameter MST on a Random Graph. / Gimadi, Edward K.; Shevyakov, Aleksandr S.; Shtepa, Alexandr A.

Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. ред. / Nicholas Olenev; Yuri Evtushenko; Michael Khachay; Vlasta Malkova. Springer Science and Business Media Deutschland GmbH, 2020. стр. 110-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12422 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Gimadi, EK, Shevyakov, AS & Shtepa, AA 2020, A Given Diameter MST on a Random Graph. в N Olenev, Y Evtushenko, M Khachay & V Malkova (ред.), Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 12422 LNCS, Springer Science and Business Media Deutschland GmbH, стр. 110-121, 11th International Conference on Optimization and Applications, OPTIMA 2020, Moscow, Российская Федерация, 28.09.2020. https://doi.org/10.1007/978-3-030-62867-3_9

APA

Gimadi, E. K., Shevyakov, A. S., & Shtepa, A. A. (2020). A Given Diameter MST on a Random Graph. в N. Olenev, Y. Evtushenko, M. Khachay, & V. Malkova (Ред.), Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings (стр. 110-121). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12422 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62867-3_9

Vancouver

Gimadi EK, Shevyakov AS, Shtepa AA. A Given Diameter MST on a Random Graph. в Olenev N, Evtushenko Y, Khachay M, Malkova V, Редакторы, Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. стр. 110-121. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-62867-3_9

Author

Gimadi, Edward K. ; Shevyakov, Aleksandr S. ; Shtepa, Alexandr A. / A Given Diameter MST on a Random Graph. Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Редактор / Nicholas Olenev ; Yuri Evtushenko ; Michael Khachay ; Vlasta Malkova. Springer Science and Business Media Deutschland GmbH, 2020. стр. 110-121 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{ada220e41da548caa247dd800013ce5c,
title = "A Given Diameter MST on a Random Graph",
abstract = "We give a new approximation polynomial time algorithm for one of the intractable problem of finding given-diameter Minimum Spanning Tree (MST) on n-vertex complete graph with randomly weighted edges. A significant advantage of this algorithm is that it turned out to be well suited for finding several edge-disjoint MST of a given diameter. A probabilistic analysis was performed under conditions that edge weights of given graph are identically independent uniformly distributed random variables on an segment. Sufficient conditions of asymptotic optimality are presented. It is also noteworthy that the new algorithmic approach to solve the problem of finding a given-diameter MST both on directed and undirected graphs.",
keywords = "Approximation algorithm, Given-diameter minimum spanning tree, Probabilistic analysis",
author = "Gimadi, {Edward K.} and Shevyakov, {Aleksandr S.} and Shtepa, {Alexandr A.}",
note = "Funding Information: Supported by the program of fundamental scientific researches of the SB RAS No. I.5.1., project No. 0314-2019-0014, and by the Russian Foundation for Basic Research, project No. 20-31-90091. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th International Conference on Optimization and Applications, OPTIMA 2020 ; Conference date: 28-09-2020 Through 02-10-2020",
year = "2020",
doi = "10.1007/978-3-030-62867-3_9",
language = "English",
isbn = "9783030628666",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "110--121",
editor = "Nicholas Olenev and Yuri Evtushenko and Michael Khachay and Vlasta Malkova",
booktitle = "Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings",
address = "Germany",

}

RIS

TY - GEN

T1 - A Given Diameter MST on a Random Graph

AU - Gimadi, Edward K.

AU - Shevyakov, Aleksandr S.

AU - Shtepa, Alexandr A.

N1 - Funding Information: Supported by the program of fundamental scientific researches of the SB RAS No. I.5.1., project No. 0314-2019-0014, and by the Russian Foundation for Basic Research, project No. 20-31-90091. Publisher Copyright: © 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - We give a new approximation polynomial time algorithm for one of the intractable problem of finding given-diameter Minimum Spanning Tree (MST) on n-vertex complete graph with randomly weighted edges. A significant advantage of this algorithm is that it turned out to be well suited for finding several edge-disjoint MST of a given diameter. A probabilistic analysis was performed under conditions that edge weights of given graph are identically independent uniformly distributed random variables on an segment. Sufficient conditions of asymptotic optimality are presented. It is also noteworthy that the new algorithmic approach to solve the problem of finding a given-diameter MST both on directed and undirected graphs.

AB - We give a new approximation polynomial time algorithm for one of the intractable problem of finding given-diameter Minimum Spanning Tree (MST) on n-vertex complete graph with randomly weighted edges. A significant advantage of this algorithm is that it turned out to be well suited for finding several edge-disjoint MST of a given diameter. A probabilistic analysis was performed under conditions that edge weights of given graph are identically independent uniformly distributed random variables on an segment. Sufficient conditions of asymptotic optimality are presented. It is also noteworthy that the new algorithmic approach to solve the problem of finding a given-diameter MST both on directed and undirected graphs.

KW - Approximation algorithm

KW - Given-diameter minimum spanning tree

KW - Probabilistic analysis

UR - http://www.scopus.com/inward/record.url?scp=85097423231&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-62867-3_9

DO - 10.1007/978-3-030-62867-3_9

M3 - Conference contribution

AN - SCOPUS:85097423231

SN - 9783030628666

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 110

EP - 121

BT - Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings

A2 - Olenev, Nicholas

A2 - Evtushenko, Yuri

A2 - Khachay, Michael

A2 - Malkova, Vlasta

PB - Springer Science and Business Media Deutschland GmbH

T2 - 11th International Conference on Optimization and Applications, OPTIMA 2020

Y2 - 28 September 2020 through 2 October 2020

ER -

ID: 26703326