Content deleted Content added
→Decomposition methods for arbitrary problems: why binary methods can be used here |
→Query decomposition: linear time -> log space |
||
Line 129:
Associating constraints with nodes possibly reduces the width of decompositions and of instances. On the other hand, this definition of width still allows problems of fixed width to be solved in polynomial time if the decomposition is given. In this case, the ___domain of a new variable is obtained by solving a subproblem which can be polynomially large but has a fixed number of constraints. As a result, this ___domain is guaranteed to be of polynomial size; the constraints of the new problem, being equalities of two domains, are polynomial in size as well.
A ''pure query decomposition'' is a query decomposion in which
A drawback of this decomposition method is that checking whether an instance has a fixed width is in general [[NP-complete]]; this has been proved to be the case with width 4.
|