AbstractAni-j xcut of a setV={1, ...,n} is defined to be a partition ofV into two disjoint nonempty subsets such that bothi andj are contained in the same subset. When partitions are associated with costs, we define thei-j xcut problem to be the problem of computing ani-j xcut of minimum cost. This paper contains a proof that the
$$(\begin{array}{*{20}c} n \\ 2 \\ \end{array} )$$
minimum xcut problems have at mostn distinct optimal solution values. These solutions can be compactly represented by a set ofn partitions in such a way that the optimal solution to any of the problems can be found inO(n) time. For a special additive cost function that naturally arises in connection to graphs, some interesting properties of the set of optimal solutions that lead to a very simple algorithm are presented.
[1]
Toshihide Ibaraki,et al.
Computing Edge-Connectivity in Multigraphs and Capacitated Graphs
,
1992,
SIAM J. Discret. Math..
[2]
Refael Hassin.
Solution Bases of Multiterminal Cut Problems
,
1988,
Math. Oper. Res..
[3]
Refael Hassin,et al.
Multi-terminal maximum flows in node-capacitated networks
,
1986
.
[4]
T. C. Hu,et al.
Multi-Terminal Network Flows
,
1961
.
[5]
Rafael Hassin.
An algorithm for computing maximum solution bases
,
1990
.
[6]
Michele Conforti,et al.
Some New Matroids on Graphs: Cut Sets and the Max Cut Problem
,
1987,
Math. Oper. Res..
[7]
Toshihide Ibaraki,et al.
Computing Edge-Connectivity in Multiple and Capacitated Graphs
,
1990,
SIGAL International Symposium on Algorithms.