A function f : V( G) ->{0, 1, 2} is called a Roman dominating function on G = ( V(G), E(G)) if for every vertex v with f (v) = 0, there exists a vertex u epsilon N-G(v) such that f (u) = 2. A function f : V(G). {0,...
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A function f : V( G) ->{0, 1, 2} is called a Roman dominating function on G = ( V(G), E(G)) if for every vertex v with f (v) = 0, there exists a vertex u epsilon N-G(v) such that f (u) = 2. A function f : V(G). {0, 1, 2} induces an ordered partition ( V-0, V-1, V-2) of V( G), where V-i = {v epsilon V( G) : f (v) = i} for i epsilon{0, 1, 2}. A function f : V(G)->{0, 1, 2} with ordered partition ( V-0, V-1, V-2) is called a unique response Roman function if for every vertex v with f (v) = 0, | N-G(v) boolean AND V-2| <= 1, and for every vertex v with f (v) = 1 or 2, | N-G(v) boolean AND V-2| = 0. A function f : V(G)->{0, 1, 2} is called a unique response Roman dominating function (URRDF) on G if it is a unique response Roman function as well as a Roman dominating function on G. The weight of a unique response Roman dominating function f is the sum f ( V(G)) = Sigma (v epsilon V(G)) f (v), and the minimum weight of a unique response Roman dominating function on G is called the unique response Roman domination number of G and is denoted by u(R)(G). Given a graph G, the Min- URRDF problem asks to find a unique response Roman dominating function of minimum weight on G. In this paper, we study the algorithmic aspects of Min- URRDF. We show that the decision version of Min- URRDF remains NP-complete for chordal graphs and bipartite graphs. We show that for a given graph with n vertices, Min- URRDF cannot be approximated within a ratio of n(1-epsilon) for any epsilon > 0 unless P = NP. We also show that Min- URRDF can be approximated within a factor of Delta + 1 for graphs having maximum degree Delta. On the positive side, we design a linear-timealgorithm to solve Min- URRDF for distance-hereditary graphs. Also, we show that Min- URRDF is polynomial-time solvable for interval graphs, and strengthen the result by showing that Min- URRDF can be solved in linear-time for proper interval graphs, a proper subfamily of interval graphs.
We define row path norm and column path norm of a matrix and relate path norms with other standard matrix norms. A row (resp. column) path norm gives a path that maximizes relative row (resp. column) distances startin...
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We define row path norm and column path norm of a matrix and relate path norms with other standard matrix norms. A row (resp. column) path norm gives a path that maximizes relative row (resp. column) distances starting from the first row (resp. column). The comparison takes place from the last row (resp. column) to the first row (resp. column), tracing the path. We categorize different versions of path norms and provide algorithms to compute them. We show that brute-force methods to compute path norms have exponential running time. We give dynamic programming algorithms, which, in contrast, take quadratic running time for computing the path norms. We define path norms on Church numerals and Church pairs. Finally, we present applications of path norms in computing condition number, and ordering the solutions of magic squares and Latin squares
Best match graphs (BMG) are a key intermediate in graph-based orthology detection and contain a large amount of information on the gene tree. We provide a near-cubic algorithm to determine whether a BMG is binary-expl...
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Best match graphs (BMG) are a key intermediate in graph-based orthology detection and contain a large amount of information on the gene tree. We provide a near-cubic algorithm to determine whether a BMG is binary-explainable, i.e., whether it can be explained by a fully resolved gene tree and, if so, to construct such a tree. Moreover, we show that all such binary trees are refinements of the unique binary-refinable tree (BRT), which in general is a substantial refinement of the also unique least resolved tree of a BMG. Finally, we show that the problem of editing an arbitrary vertex-colored graph to a binary-explainable BMG is NP-complete and provide an integer linear program formulation for this task.
Sparse PCA is the optimization problem obtained from PCA by adding a sparsity constraint on the principal components. Sparse PCA is NP-hard and hard to approximate even in the single-component case. In this paper we s...
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Sparse PCA is the optimization problem obtained from PCA by adding a sparsity constraint on the principal components. Sparse PCA is NP-hard and hard to approximate even in the single-component case. In this paper we settle the computational complexity of sparse PCA with respect to the rank of the covariance matrix. We show that, if the rank of the covariance matrix is a fixed value, then there is an algorithm that solves sparse PCA to global optimality, whose running time is polynomial in the number of features. We also prove a similar result for the version of sparse PCA which requires the principal components to have disjoint supports.
It is a fundamental result in combinatorial optimization that submodular functions can be minimized in polynomial-time. This paper considers the minimization problem for a more general class of set functions that cont...
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ISBN:
(纸本)9783031598340;9783031598357
It is a fundamental result in combinatorial optimization that submodular functions can be minimized in polynomial-time. This paper considers the minimization problem for a more general class of set functions that contains all submodular functions. A set function is called 2/3-submodular if the submodular inequality holds for at least two pairs formed from every distinct three subsets. This paper provides two weakly polynomial-time algorithms to minimize 2/3-submodular functions, which yield an efficient algorithm to obtain color assignments of a variant of the supermodular coloring theorem.
In the path movement problem, we are given an undirected graph G = (V, E), a source vertex s, a destination vertex t, and a set of movable objects, called pebbles, which are placed on a subset of the vertices of a gra...
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In the path movement problem, we are given an undirected graph G = (V, E), a source vertex s, a destination vertex t, and a set of movable objects, called pebbles, which are placed on a subset of the vertices of a graph. We want to move a subset of the pebbles along the edges to a subset of the vertices of the graph such that there exists a path from s to t in graph G in such a way that all the vertices in that path are occupied by at least one pebble. The PathMax and the PathSum problems are the path movement problems in which we want to minimize the maximum movements and the total movements made by the pebbles, respectively. In [7], the researchers proved that both the problems are NP-hard in general graphs. In this paper, the PathMax and the PathSum problems are considered on special classes of graph G, that is, G is a tree and a unicyclic graph. More precisely, this paper shows that PathMax and PathSum problems can be easily solved in polynomialtime when the input graph is a tree or a unicyclic graph.
The bipartization problem for a graph G asks for finding a subset S of V(G) such that the induced subgraph G[S] is bipartite and vertical bar S vertical bar is maximized. This problem has significant applications in t...
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The bipartization problem for a graph G asks for finding a subset S of V(G) such that the induced subgraph G[S] is bipartite and vertical bar S vertical bar is maximized. This problem has significant applications in the via minimization of VLSI design. The problem has been proved NP-complete and the fixed parameter solvability has been known in the literature. This paper presents several polynomial-time algorithms for special graph families, such as split graphs, co-bipartite graphs, chordal graphs, and permutation graphs.
The minimax path location problem is to find a path P in a graph G such that the maximum distance d_(G)(v,P)from every vertex v∈V(G)to the path P is *** is a well-known NP-hard problem in network *** paper studies th...
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The minimax path location problem is to find a path P in a graph G such that the maximum distance d_(G)(v,P)from every vertex v∈V(G)to the path P is *** is a well-known NP-hard problem in network *** paper studies the fixed-parameter solvability,that is,for a given graph G and an integer k,to decide whether there exists a path P in G such that max v∈V(G)d_(G)(v,P)≤*** the answer is affirmative,then graph G is called *** show that this decision problem is NP-complete even for k=*** the other hand,we characterize the family of 1-path-eccentric graphs,including the traceable,interval,split,permutation graphs and ***,some polynomially solvable special graphs are discussed.
We consider probabilistic independence and unary variants of marginal identity and marginal distribution equivalence over finite probability distributions. Two variables x and y satisfy a unary marginal identity when ...
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ISBN:
(纸本)9783031569395;9783031569401
We consider probabilistic independence and unary variants of marginal identity and marginal distribution equivalence over finite probability distributions. Two variables x and y satisfy a unary marginal identity when they are identically distributed. If the multisets of the marginal probabilities of all possible values for variables x and y are equal, the variables satisfy a unary marginal distribution equivalence. This paper offers a sound and complete finite axiomatization and a polynomial-time algorithm for the implication problem for probabilistic independence, unary marginal identity, and unary marginal distribution equivalence.
Given a connected graph G = (V, E), a rainbow disconnection k-coloring of G is a k-edge coloring of G such that for each pair of vertices u, v is an element of V, there is a rainbow (edge) cut of u, v, which is a subs...
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Given a connected graph G = (V, E), a rainbow disconnection k-coloring of G is a k-edge coloring of G such that for each pair of vertices u, v is an element of V, there is a rainbow (edge) cut of u, v, which is a subset RC(u, v)subset of E such that u, v are disconnected in G\RC(u, v) and that all edges in RC(u, v) have different colors. Theminimum integer k such that G admits a rainbow disconnection k-coloring is the rainbow disconnection number of G, denoted by rd(G). It has been shown that rd( G) is closely related to the maximum number lambda(+) ( G) of edge disjoint paths among all pairs of vertices in G. In this paper, we propose a polynomial-time algorithm for finding a rainbow disconnection rd(G)-coloring of a 2-tree, a graph G formed by starting with a triangle and then repeatedly adding vertices in such a way that each added vertex is adjacent to two ends of an edge. Moreover, the algorithm shows that rd(G) = lambda(+) (G) if G is a 2-tree. This justifies a conjecture of Bai et al. [MR4385957] in 2-trees, which states that rd( G) is either lambda(+) (G) or lambda(+) (G) + 1 for each graph G.
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