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A minimum spanning tree algorithm with inverse-Ackermann type complexity
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Volume 47 ,  Issue 6  (November 2000) table of contents
Pages: 1028 - 1047  
Year of Publication: 2000
ISSN:0004-5411
Author
Bernard Chazelle  Princeton Univ., Princeton, NJ
Publisher
ACM  New York, NY, USA
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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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CHAZELLE, B., AND ROSENBERG, B. 1991. The complexity of computing partial sums off-line. Int. J. Comput. Geom. Appl. 1, 33-45.
 
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CHERITON, D., AND TARJAN, R. E. 1976. Finding minimum spanning trees, SIAM J. Comput. 5, 724-742.
 
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GRAHAM, R. L., AND HELL, P. 1985. On the history of the minimum spanning tree problem. Ann. Hist. Comput. 7, 43-57.
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KING, V. 1997. A simpler minimum spanning tree verification algorithm. Algorithmica 18, 263-270.
 
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KOMLOS, J. 1983. Linear verification for spanning trees. Combinatorica 5, 57-65.
 
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NESETRIL, J. 1997. A few remarks on the history of MST-problem. Arch. Math. Brno 33, 15-22.
 
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TARJAN, R. E. 1978. Complexity of monotone networks for computing conjunctions. Ann. Disc. Math. 2, 121-133.
 
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YAO, A. 1975. An O(u Eu log logu Vu ) algorithm for finding minimum spanning trees. Inf. Process. Lett. 4, 21-23.

CITED BY  23
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


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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