In this paper we continue the study of the edge intersection graphs of one (or zero) bend paths on a rectangular grid. That is, the edge intersection graphs where each vertex is represented by one of the following sha...
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In this paper we continue the study of the edge intersection graphs of one (or zero) bend paths on a rectangular grid. That is, the edge intersection graphs where each vertex is represented by one of the following shapes left perpendicular inverted right perpendicular, right perpendicular inverted left perpendicular, and we consider zero bend paths (i.e., vertical bar and -) to be degenerate left perpendicular 's. These graphs, called B-1-EPG graphs, were first introduced by Golumbic et al. (2009). We consider the natural subclasses of B-1-EPG formed by the subsets of the four single bend shapes (i.e., {left perpendicular }, {left perpendicular, inverted right perpendicular }, {left perpendicular , inverted left perpendicular}, and {left perpendicular , inverted right perpendicular, inverted left perpendicular}) and we denote the classes by [left perpendicular], [left perpendicular, inverted right perpendicular], [left perpendicular , inverted left perpendicular], and [left perpendicular , inverted right perpendicular, inverted left perpendicular] respectively. Note: all other subsets are isomorphic to these up to 90 degree rotation. We show that testing for membership in each of these classes is NP-complete and observe the expected strict inclusions and incomparability (i.e., [left perpendicular] not subset of [left perpendicular, inverted right perpendicular], [left perpendicular, inverted left perpendicular] not subset of [left perpendicular, inverted right perpendicular, inverted left perpendicular] not subset of B-1-EPG and [left perpendicular, inverted right perpendicular] is incomparable with [left perpendicular, inverted left perpendicular] ). Additionally, we give characterizations and polytime recognition algorithms for special subclasses of Split boolean AND[left perpendicular]. (C) 2015 Elsevier B.V. All rights reserved.
A graph is unipolar if it can be partitioned into a clique and a disjoint union of cliques, and a graph is a generalised split graph if it or its complement is unipolar. A unipolar partition of a graph can be used to ...
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A graph is unipolar if it can be partitioned into a clique and a disjoint union of cliques, and a graph is a generalised split graph if it or its complement is unipolar. A unipolar partition of a graph can be used to find efficiently the clique number, the stability number, the chromatic number, and to solve other problems that are hard for general graphs. We present an O(n(2))-time algorithm for recognition of n-vertex generalised split graphs, improving on previous O(n(3))-time algorithms.
We prove several characterizations of hereditary (p, q)-Helly hypergraphs, including one by minimal forbidden partial subhypergraphs, and show that the recognition of hereditary (p, q)-Helly hypergraphs can be solved ...
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We propose the use of SPQR-trees as a data structure to encode the 3-connected components of a graph and to obtain linear-time recognition algorithms for graph classes structurally characterized by 2-cutset decomposit...
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A graph is a probe interval graph if its vertices can be partitioned into probes and nonprobes with an interval associated to each vertex so that vertices are adjacent if and only if their corresponding intervals inte...
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A graph is a probe interval graph if its vertices can be partitioned into probes and nonprobes with an interval associated to each vertex so that vertices are adjacent if and only if their corresponding intervals intersect and at least one of them is a probe. A graph G = (V, E) is a tolerance graph if each vertex v is an element of V can be associated to an interval I-v of the real line and a positive real number t(v) such that uv is an element of E if and only if vertical bar I-u boolean AND I-v vertical bar >= min {t(u), t(v)}. In this paper we present O(vertical bar V vertical bar + vertical bar E vertical bar) recognition algorithms for both bipartite probe interval graphs and bipartite tolerance graphs. We also give a new structural characterization for each class which follows from the algorithms.
A graph is clique-perfect if the maximum size of a clique-independent set (a set of pairwise disjoint maximal cliques) and the minimum size of a clique-transversal set (a set of vertices meeting every maximal clique) ...
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A graph is clique-perfect if the maximum size of a clique-independent set (a set of pairwise disjoint maximal cliques) and the minimum size of a clique-transversal set (a set of vertices meeting every maximal clique) coincide for each induced subgraph. A graph is balanced if its clique-matrix contains no square submatrix of odd size with exactly two ones per row and column. In this work, we give linear-time recognition algorithms and minimal forbidden induced subgraph characterizations of clique-perfectness and balancedness of P-4-tidy graphs and a linear-time algorithm for computing a maximum clique-independent set and a minimum clique-transversal set for any P-4-tidy graph. We also give a minimal forbidden induced subgraph characterization and a linear-time recognition algorithm for balancedness of paw-free graphs. Finally, we show that clique-perfectness of diamond-free graphs can be decided in polynomial time by showing that a diamond-free graph is clique-perfect if and only if it is balanced.
In this paper we give a recognition algorithm in O(n(n + m)) time for bipartite chain graphs, and directly calculate the density of such graphs. For their stability number and domination number, we give algorithms com...
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In this paper we give a recognition algorithm in O(n(n + m)) time for bipartite chain graphs, and directly calculate the density of such graphs. For their stability number and domination number, we give algorithms comparable to the existing ones. We point out some applications of bipartite chain graphs in chemistry and approach the Minimum Chain Completion problem.
Different problems of robot learning and planning have received considerable attention, recently. In particular, we can mention robot task learning. Robot learning from demonstration is especially important for robots...
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Different problems of robot learning and planning have received considerable attention, recently. In particular, we can mention robot task learning. Robot learning from demonstration is especially important for robots that operate in unstructured environments. The effectiveness of such learning depends strongly on the quality of vision-based analysis of human hand and body gestures. In this paper, we consider a method of recognition of human hand and body gestures that based on a modified longest common subsequence algorithm with adaptive parameters.
Graph G is the square of graph H if two vertices x,y have an edge in G if and only if x,y are of distance at most two in H. Given H it is easy to compute its square H (2), however Motwani and Sudan proved that it is N...
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Graph G is the square of graph H if two vertices x,y have an edge in G if and only if x,y are of distance at most two in H. Given H it is easy to compute its square H (2), however Motwani and Sudan proved that it is NP-complete to determine if a given graph G is the square of some graph H (of girth 3). In this paper we consider the characterization and recognition problems of graphs that are squares of graphs of small girth, i.e. to determine if G=H (2) for some graph H of small girth. The main results are the following. There is a graph theoretical characterization for graphs that are squares of some graph of girth at least 7. A corollary is that if a graph G has a square root H of girth at least 7 then H is unique up to isomorphism. There is a polynomial time algorithm to recognize if G=H (2) for some graph H of girth at least 6. It is NP-complete to recognize if G=H (2) for some graph H of girth 4.
In this paper, we study the class of distance-hereditary comparability graphs, that is, those graphs which admit a transitive orientation and are completely decomposable with respect to the split decomposition. We pro...
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In this paper, we study the class of distance-hereditary comparability graphs, that is, those graphs which admit a transitive orientation and are completely decomposable with respect to the split decomposition. We provide a characterization based on a restricted number of forbidden subgraphs. We also provide further characterizations and one of them, based on the split decomposition, is used to devise a recognizing algorithm working in linear time. Finally, we show how to build distance-hereditary comparability graphs. (C) 2012 Elsevier B.V. All rights reserved.
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