Matrix multiplication via arithmetic progressions
Journal of Symbolic Computation - Special issue on computational algebraic complexity
New methods for 3-SAT decision and worst-case analysis
Theoretical Computer Science
Improved algorithms for 3-coloring, 3-edge-coloring, and constraint satisfaction
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Worst-case time bounds for coloring and satisfiability problems
Journal of Algorithms
Counting models for 2SAT and 3SAT formulae
Theoretical Computer Science
Decomposition of domains based on the micro-structure of finite constraint-satisfaction problems
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Enumerating maximal independent sets with applications to graph colouring
Operations Research Letters
A comparison of problem decomposition techniques for the FAP
Journal of Heuristics
Exact algorithm for the maximum induced planar subgraph problem
ESA'11 Proceedings of the 19th European conference on Algorithms
Exact algorithms for exact satisfiability and number of perfect matchings
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part I
Finding a maximum induced degenerate subgraph faster than 2n
IPEC'12 Proceedings of the 7th international conference on Parameterized and Exact Computation
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We discuss four variants of the graph colouring problem, and empresent algorithms for solving them. The problems are k-Colourability, Max Ind k-COL, Max Val k-COL, and, finally, Max k-COL, which is the unweighted case of the Max k-Cut problem. The algorithms are based on the idea of partitioning the domain of the problems into disjoint subsets, and then considering all possible instances were the variables are restricted to values from these partitions. If a pair of variables have been restricted to different partitions, then the constraint between them is always satisfied since the only allowed constraint is disequality.