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This research focuses on constraint satisfaction problems (CSPs) and their algorithmic solutions, particularly in relation to the propositional satisfiability problem. It aims to enhance understanding of algorithm efficiency and explore weighted extensions of CSPs.
Constraint satisfaction problems (CSP) form a general framework that captures a large variety of algorithmic problems.
Due to their generality, CSPs are ubiquitous in several areas such as, for example, artificial intelligence, database theory and statistical physics.
Therefore it is not surprising that their study is of prominent importance also in computational complexity theory.
The proposed research aims at studying algorithmic issues related to CSPs from the perspective of computational co…
Consorci Centre de Recerca Matematica
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