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Solving partial constraint satisfaction problems with tree decomposition. (English) Zbl 1027.90072
Summary: We describe a computational study to solve hard Partial Constraint Satisfaction Problems (PCSPs) to optimality. The PCSP is a general class of problems that contains a diversity of problems, such as generalized subgraph problems, MAX-SAT, Boolean quadratic programs, and assignment problems like coloring and frequency planning. We present a dynamic programming algorithm that solves PCSPs based on the structure (tree decomposition) of the underlying constraint graph. With the use of dominance and bounding techniques, we are able to solve small and medium-size instances of the problem to optimality and to obtain good lower bounds for large-size instances within reasonable time and memory limits.

90C27 Combinatorial optimization
90C35 Programming involving graphs or networks
90C39 Dynamic programming
90B80 Discrete location and assignment
Full Text: DOI
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