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Complexity of Finding Embeddings in a k-Tree

Arnborg, Stefan, Corneil, Derek G., Proskurowski, Andrzej·1987·SIAM Journal on Algebraic Discrete Methods

Abstract

A k-tree is a graph that can be reduced to the k-complete graph by a sequence of removals of a degree k vertex with completely connected neighbors. We address the problem of determining whether a graph is a partial graph of a k-tree. This problem is motivated by the existence of polynomial time algorithms for many combinatorial problems on graphs when the graph is constrained to be a partial k-tree for fixed k. These algorithms have practical applications in areas such as reliability, concurrent broadcasting and evaluation of queries in a relational database system. We determine the complexity status of two problems related to finding the smallest number k such that a given graph is a partial k-tree. First, the corresponding decision problem is NP-complete. Second, for a fixed (predetermined) value of k, we present an algorithm with polynomially bounded (but exponential in k) worst case time complexity. Previously, this problem had only been solved for $k = 1,2,3$.

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Metadata

Authors
Arnborg, S., Corneil, D. G., & Proskurowski, A.
Venue
SIAM Journal on Algebraic Discrete Methods
Published
1987-04
Volume
8
Issue
2
Pages
277-284
ISSN
  • 0196-5212 (ISSN-L)
  • 2168-345X
OpenAlex
W2085550081
Cited by
1,206
References
0
FWCI
18.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Complexity of Finding Embeddings in a k-Tree. https://app.cochat.ai/papers/10.1137/0608024
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Arnborg, S., Corneil, D. G., & Proskurowski, A. (1987). Complexity of Finding Embeddings in a k-Tree. SIAM Journal on Algebraic Discrete Methods. https://doi.org/10.1137/0608024

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