Theoretical Computer Science
Complexity of finding embeddings in a k-tree
SIAM Journal on Algebraic and Discrete Methods
The complexity of searching a graph
Journal of the ACM (JACM)
Min cut is NP-complete for edge weighted trees
Theoretical Computer Science - Thirteenth International Colloquim on Automata, Languages and Programming, Renne
Monotonicity in graph searching
Journal of Algorithms
Narrowness, pathwidth, and their application in natural language processing
Discrete Applied Mathematics
The vertex separation number of a graph equals its path-width
Information Processing Letters
The pathwidth and treewidth of cographs
SIAM Journal on Discrete Mathematics
On the pathwidth of chordal graphs
Discrete Applied Mathematics - ARIDAM IV and V
The vertex separation and search number of a graph
Information and Computation
Treewidth and Pathwidth of Permutation Graphs
SIAM Journal on Discrete Mathematics
Efficient and constructive algorithms for the pathwidth and treewidth of graphs
Journal of Algorithms
Optimal path cover problem on block graphs
Theoretical Computer Science
Computing Treewidth and Minimum Fill-In: All You Need are the Minimal Separators
ESA '93 Proceedings of the First Annual European Symposium on Algorithms
Mixed Search Number of Permutation Graphs
FAW '08 Proceedings of the 2nd annual international workshop on Frontiers in Algorithmics
Edge Search Number of Cographs in Linear Time
FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
Pathwidth is NP-Hard for Weighted Trees
FAW '09 Proceedings of the 3d International Workshop on Frontiers in Algorithmics
Edge search number of cographs
Discrete Applied Mathematics
Approximate search strategies for weighted trees
Theoretical Computer Science
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The node-searching problem, introduced by Kirousis and Papadimitriou, is equivalent to several important problems, such as the interval thickness problem, the path-width problem, the vertex separation problem, and so on. In this paper, we generalize the avenue concept, originally proposed for trees, to block graphs whereby we design an efficient algorithm for computing both the search numbers and optimal search strategies for block graphs. It answers the question proposed by Peng et al. of whether the node-searching problem on block graphs can be solved in polynomial time.