welcome: please sign in

Revision 10 as of 2011-01-20 16:23:53

Clear message
location: FinalProblemDescriptions / Reachability

Reachability

Contents

  1. Reachability
    1. Problem Description
    2. Predicates
    3. Input format
    4. Output format
    5. Example(s)
    6. Author(s)

Problem Description

Reachability is one of the best studied problems in computer science. Instances of the reachability problem occurr, directly or indirectly, in a lot of relevant real world applications, ranging from databases to product configurations and networks.

Given a directed graph G=(V,E) and a couple <a,b> of nodes of V, the solution to the Reachability problem reachable(a,b) determines whether node b is reachable from node a through a sequence of edges in E. The input is provided by a relation edge(X,Y) where a fact edge(i,j) states that node j is directly reachable by an edge in E from node i, and by one tuple (fact) of the form query(a,b) .

In database terms, determining all pairs of reachable nodes in G amounts to computing the transitive closure of the relation storing the edges.

Predicates

Input format

The input graph is represented by the set of its edges. The predicate used to define edges is a binary predicate "edge" where edge(a,b) means that there is a directed edge going from a to b: 

edge(1,3).
edge(3,4).
edge(4,2).
edge(3,5).
edge(2,5).

The query is encoded in the facts for the binary predicate reaches, as reaches(a,b)? asking whether node 'b' is reachable from node 'a'. Only ground queries are provided.

Output format

If the answer to the input query, say, reaches(a,b), is positive (i.e., b is reachable from a), then the output should be a single fact representing the query itself; if the query is false, the output is nothing (thus resulting in an empty row).

Example(s)

Input: edge(1,3). edge(3,4). edge(3,5). edge(4,2). edge(2,5). reaches(1,2)?

Possible Output: reaches(1,2).

Author(s)