Introduction to algorithms
Beyond the flow decomposition barrier
Journal of the ACM (JACM)
Graph classes: a survey
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Dynamic Representation of Sparse Graphs
WADS '99 Proceedings of the 6th International Workshop on Algorithms and Data Structures
Approximating Maximum Clique by Removing Subgraphs
SIAM Journal on Discrete Mathematics
Proceedings of the thirty-eighth annual ACM symposium on Theory of computing
A better approximation ratio for the vertex cover problem
ACM Transactions on Algorithms (TALG)
Approximation algorithms for the graph orientation minimizing the maximum weighted outdegree
Journal of Combinatorial Optimization
Hi-index | 0.00 |
This paper introduces four graph orientation problems named MaximizeW-Light, MinimizeW-Light, MaximizeW-Heavy, and MinimizeW-Heavy, where W can be any fixed non-negative integer. In each of these problems, the input is an undirected graph G and the objective is to assign a direction to each edge in G so that the number of vertices with outdegree at most W or at least W in the resulting directed graph is maximized or minimized. We derive a number of results on the computational complexity and polynomial-time approximability of these problems for different values of W and various special classes of graphs. In particular, we show that Maximize 0-Light and Minimize 1-Heavy are equivalent to Maximum Independent Set and Minimum Vertex Cover, respectively, so by allowing the value of W to vary, we obtain a new, natural generalization of the two latter problems.