โ Scribed by Nadia Creignou, Sanjeev Khanna, Madhu Sudan
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๐ SIMILAR VOLUMES
Many fundamental combinatorial problems, arising in such diverse fields as artificial intelligence, logic, graph theory, and linear algebra, can be formulated as Boolean constraint satisfaction problems (CSP). This book is devoted to the study of the complexity of such problems. The authors' goa
<p><p>The topic of this book is the following optimisation problem: given a set of discrete variables and a set of functions, each depending on a subset of the variables, minimise the sum of the functions over all variables. This fundamental research problem has been studied within several different
<p>A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied. CSPs continue to receive increased attention because of both their h
<p><p>This book provides a significant step towards bridging the areas of Boolean satisfiability and constraint satisfaction by answering the question why SAT-solvers are efficient on certain classes of CSP instances which are hard to solve for standard constraint solvers. The author also gives theo
This textbook examines the constraint satisfaction problem (CSP), which is a general problem in AI applications. It aims to provide a comprehensive introduction to the CSP, covering theoretical, practical and implementation issues. The book discusses formal definitions, CSP solving algorithms and im