Abstract
In the literature, there are quite a few sequential and parallel algorithms to solve problems in a distance-hereditary graph G utilizing techniques discovered from the properties of the problems. Based on structural properties of G, we first sketch characteristics of problems which can be systematic solved on G and then define a general problem-solving paradigm. Given a decomposition tree representation of G, we propose a unified approach to construct sequential dynamic programming algorithms for several fundamental graph-theoretical problems that fit into our paradigm. We also show that our sequential solutions can be efficiently parallelized using the tree contraction technique.
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© 1998 Springer-Verlag Berlin Heidelberg
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Hsieh, SY., Ho, CW., Hsu, TS., Ko, MT., Chen, GH. (1998). Characterization of Efficiently Solvable Problems on Distance-Hereditary Graphs. In: Chwa, KY., Ibarra, O.H. (eds) Algorithms and Computation. ISAAC 1998. Lecture Notes in Computer Science, vol 1533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49381-6_28
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DOI: https://doi.org/10.1007/3-540-49381-6_28
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