The subchromatic number of a graph
Discrete Mathematics - Graph colouring and variations
Scheduling with incompatible jobs
Discrete Applied Mathematics
Zero knowledge and the chromatic number
Journal of Computer and System Sciences - Eleventh annual conference on structure and complexity 1996
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Graph Subcolorings: Complexity and Algorithms
WG '01 Proceedings of the 27th International Workshop on Graph-Theoretic Concepts in Computer Science
Weighted Node Coloring: When Stable Sets Are Expensive
WG '02 Revised Papers from the 28th International Workshop on Graph-Theoretic Concepts in Computer Science
WG '02 Revised Papers from the 28th International Workshop on Graph-Theoretic Concepts in Computer Science
The complexity of satisfiability problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Graphs and Hypergraphs
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We consider a weighted version of the subcoloring problem that we call the hypocoloring problem: given a weighted graph G=(V,E;w) where w(v)≥ 0, the goal consists in finding a partition ${\cal S}=(S_1,\ldots,S_k)$ of the node set of G into hypostable sets and minimizing ∑$_{i=1}^{k}$w(Si) where an hypostable S is a subset of nodes which generates a collection of node disjoint cliques K. The weight of S is defined as max {∑v∈Kw(v)| K∈S}. Properties of hypocolorings are stated; complexity and approximability results are presented in some graph classes. The associated decision problem is shown to be NP-complete for bipartite graphs and triangle-free planar graphs with maximum degree 3. Polynomial algorithms are given for graphs with maximum degree 2 and for trees with maximum degree Δ.