We consider two graph optimization problems called vector domination and total vector domination. In vector domination one seeks a small subset S of vertices of a graph such that any vertex outside S has a prescribed number of neighbors in S. In total vector domination, the requirement is extended to all vertices of the graph. We prove that these problems (and several variants thereof) cannot be approximated to within a factor of clnn, where c is a suitable constant and n is the number of the vertices, unless P=NP. We also show that two natural greedy strategies have approximation factors lnΔ+O(1), where Δ is the maximum degree of the input graph. We also provide exact polynomial time algorithms for several classes of graphs. Our results e...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domina- tion and total vector domination. ...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
Abstract. We consider two graph optimization problems called vector domina-tion and total vector dom...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2),..., d(...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domina- tion and total vector domination. ...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
We consider two graph optimization problems called vector domination and total vector domination. In...
Abstract. We consider two graph optimization problems called vector domina-tion and total vector dom...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2),..., d(...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...
Given a graph G = (V, E) of order n and an n-dimensional non-negative vector d = (d(1), d(2), ... , ...