Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
On Asymptotically Optimal Approach for the Problem of Finding Several Edge-Disjoint Spanning Trees of Given Diameter in an Undirected Graph with Random Edge Weights. / Gimadi, Edward Kh; Shevyakov, Aleksandr S.; Shtepa, Alexandr A.
Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings. ed. / Panos Pardalos; Michael Khachay; Alexander Kazakov. Springer Science and Business Media Deutschland GmbH, 2021. p. 67-78 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12755 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - On Asymptotically Optimal Approach for the Problem of Finding Several Edge-Disjoint Spanning Trees of Given Diameter in an Undirected Graph with Random Edge Weights
AU - Gimadi, Edward Kh
AU - Shevyakov, Aleksandr S.
AU - Shtepa, Alexandr A.
N1 - Funding Information: Supported by the program of fundamental scientific researches of the SB RAS (project 0314-2019-0014), and by the Ministry of Science and Higher Education Publisher Copyright: © 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - We consider the intractable problem of finding several edge-disjoint spanning trees of a given diameter in an graph with random edge weights. Earlier, we have implemented an asymptotically optimal approach for this problem in the case of directed graphs. The direct use of this result for the case of undirected graphs turned out to be impossible due to the issues associated with the summation of dependent random variables. In this work we give an O(n2) -time algorithm with conditions of asymptotic optimality for the case of undirected graphs.
AB - We consider the intractable problem of finding several edge-disjoint spanning trees of a given diameter in an graph with random edge weights. Earlier, we have implemented an asymptotically optimal approach for this problem in the case of directed graphs. The direct use of this result for the case of undirected graphs turned out to be impossible due to the issues associated with the summation of dependent random variables. In this work we give an O(n2) -time algorithm with conditions of asymptotic optimality for the case of undirected graphs.
KW - Approximation algorithm
KW - Asymptotic optimality
KW - Given-diameter Minimum Spanning Tree
KW - Probabilistic analysis
UR - http://www.scopus.com/inward/record.url?scp=85111403890&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77876-7_5
DO - 10.1007/978-3-030-77876-7_5
M3 - Conference contribution
AN - SCOPUS:85111403890
SN - 9783030778750
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 67
EP - 78
BT - Mathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings
A2 - Pardalos, Panos
A2 - Khachay, Michael
A2 - Kazakov, Alexander
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021
Y2 - 5 July 2021 through 10 July 2021
ER -
ID: 34128399