Skip to main navigation Skip to search Skip to main content

On Inverse Problems of Optimum Perfect Matching

  • Z. Liu
  • , Jianzhong Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

As far as we know, for most polynomially solvable network optimization problems, their inverse problems under l 1 or l norm have been studied, except the inverse maximum-weight matching problem in non-bipartite networks. In this paper we discuss the inverse problem of maximum-weight perfect matching in a non-bipartite network under l 1 and l , norms. It has been proved that the inverse maximum-weight perfect matching under l norm can be formulated as a maximum-mean alternating cycle problem of an undirected network, and can be solved in polynomial time by a binary search algorithm and in strongly polynomial time by an ascending algorithm, and under l 1 norm it can be solved by the ellipsoid method. Therefore, inverse problems of maximum-weight perfect matching under l 1 and l norms are solvable in polynomial time.
© 2003 Kluwer Academic Publishers
Original languageEnglish
Pages (from-to)215-228
JournalJournal of Combinatorial Optimization
Volume7
Issue number3
DOIs
Publication statusPublished - Sept 2003
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

∗The research is partially supported by the National Natural Science Foundation of China. †The author gratefully acknowledges the support of Hong Kong University Grant Council under the CERG CityU 1081/99P.

Research Keywords

  • Ellipsoid method
  • Linear programming
  • Maximum-mean alternating cycle
  • Maximum-weight matching
  • Perfect matching
  • Strongly polynomial algorithm

Fingerprint

Dive into the research topics of 'On Inverse Problems of Optimum Perfect Matching'. Together they form a unique fingerprint.

Cite this