27 research outputs found

    Finding a Maximum 2-Matching Excluding Prescribed Cycles in Bipartite Graphs

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    We introduce a new framework of restricted 2-matchings close to Hamilton cycles. For an undirected graph (V,E) and a family U of vertex subsets, a 2-matching F is called U-feasible if, for each setU in U, F contains at most |setU|-1 edges in the subgraph induced by U. Our framework includes C_{= 5. For instance, in bipartite graphs in which every cycle of length six has at least two chords, our algorithm solves the maximum C_{<=6}-free 2-matching problem in O(n^2 m) time, where n and m are the numbers of vertices and edges, respectively

    Finding a Maximum Restricted tt-Matching via Boolean Edge-CSP

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    The problem of finding a maximum 22-matching without short cycles has received significant attention due to its relevance to the Hamilton cycle problem. This problem is generalized to finding a maximum tt-matching which excludes specified complete tt-partite subgraphs, where tt is a fixed positive integer. The polynomial solvability of this generalized problem remains an open question. In this paper, we present polynomial-time algorithms for the following two cases of this problem: in the first case the forbidden complete tt-partite subgraphs are edge-disjoint; and in the second case the maximum degree of the input graph is at most 2t12t-1. Our result for the first case extends the previous work of Nam (1994) showing the polynomial solvability of the problem of finding a maximum 22-matching without cycles of length four, where the cycles of length four are vertex-disjoint. The second result expands upon the works of B\'{e}rczi and V\'{e}gh (2010) and Kobayashi and Yin (2012), which focused on graphs with maximum degree at most t+1t+1. Our algorithms are obtained from exploiting the discrete structure of restricted tt-matchings and employing an algorithm for the Boolean edge-CSP.Comment: 20 pages, 2 figure
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