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ABSTRACT
A deterministic algorithm for computing a minimum spanning tree of a connected graph is presented. Its running time is 0(m &agr;(m, n)), where &agr; is the classical functional inverse of Ackermann's function and n (respectively, m) is the number of vertices (respectively, edges). The algorithm is comparison-based : it uses pointers, not arrays, and it makes no numeric assumptions on the edge costs.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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BORUVKA, O. 1926. O jistem problemu minimalnim. Prace Moravske Prirodovedecke Spolecnosti 3, 37-58 (in Czech).
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CITED BY 23
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Seth Pettie , Vijaya Ramachandran, Minimizing randomness in minimum spanning tree, parallel connectivity, and set maxima algorithms, Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms, p.713-722, January 06-08, 2002, San Francisco, California
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REVIEW
"Paul Cull : Reviewer"
An old chestnut has almost been shelled. Finding the
minimum spanning tree is a basic problem which figures as an
example in most graph and algorithm texts. The traditional
algorithms have 0(E by E) run time. Usually a student will ask
wheth
more...
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