A new method for solving constraint satisfaction problems

  • Authors:
  • Ra Seidel

  • Affiliations:
  • Department of Computer Science, University of British Columbia

  • Venue:
  • IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
  • Year:
  • 1981

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Abstract

This paper deals with the combinatorial search problem of finding values for a set of variables subject to a set of constraints. This problem is referred to as a constraint satisfaction problem. We present an algorithm for finding all the solutions of a constraint satisfaction problem with worst case time bound 0(m*kf+1) and space bound 0(n*kf+1), where n is the number of variables in the problem, m the number of constraints, k the cardinality of the domain of the variables, and f