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Cited by 354

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Dynamic Steiner Tree Problem

Open access
Imase, Makoto, Waxman, Bernard M.·1991·SIAM Journal on Discrete Mathematics

Abstract

This paper proposes a new problem called the dynamic Steiner tree problem. Interest in the dynamic Steiner tree problem is motivated by multipoint routing in communication networks, where the set of nodes in the connection changes over time. This problem, which has its basis in the Steiner tree problem on graphs, can be divided into two cases: one in which rearrangement of existing routes is not allowed, and a second in which rearrangement is allowed. For the nonrearrangeable version, it is shown that the worst-case performance for any algorithm is at least $\frac{1}{2}\lg n$ times the cost of an optimum solution with complete rearrangement. Here n is the maximum number of nodes to be connected. In addition, a simple, polynomial time algorithm is present that has worst-case performance within two times this bound. In the rearrangeable case, a polynomial time algorithm is presented with worst-case performance bounded by a constant times optimum.

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Crossref · 10.1137/0404033

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Metadata

Authors
Imase, M., & Waxman, B. M.
Venue
SIAM Journal on Discrete Mathematics
Published
1991-08
Volume
4
Issue
3
Pages
369-384
ISSN
  • 0895-4801 (ISSN-L)
  • 1095-7146
OpenAlex
W2029437526
Cited by
354
References
6
FWCI
6.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dynamic Steiner Tree Problem. https://app.cochat.ai/papers/10.1137/0404033
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Imase, M., & Waxman, B. M. (1991). Dynamic Steiner Tree Problem. SIAM Journal on Discrete Mathematics. https://doi.org/10.1137/0404033

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.