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Shortest paths are not always unique: sometimes there are two or more different paths with the minimum possible length. Show how to solve the following problem in O((|V|+|E|)log|V|)time.

Input:An undirected graph G=(V,E);edge lengths le>0; starting vertex sV.

Output:A Boolean array for each node u , the entry usp[u]should be true if and only if there is a unique shortest path s to u (Note:usp[s]=true)

Short Answer

Expert verified

The given problem can be solved by modifying the Dijkstra’s algorithm as follows:

for all edges (u,v)E

if dist(v)>dist(u)+l(u,v)

dist(v)=dist(u)+l(u,v)

usp(v)=usp(u)

else if dist(v)=dist(u)+l(u,v)

usp(v)=false

Step by step solution

01

Explain the given information

Consider the undirected graph G(V,E), edge length is denoted by Ieand the starting vertex is sV . The shortest paths are not always unique, sometimes there are two or more different paths with the minimum possible length.

02

Solve the given problem.

Consider the undirected graph GV,E, edge length is denoted by Ieand the starting vertex is sV.

To get the Boolean array that has the usp[u]entry if and only if there is unique shortest path s to u .

The problem can be solved by modifying the Dijkstra’s algorithm as follows:

Input:AnundirectedgraphG=(V,E);edgelengthsle>0;startingvertexsV.Output:ABooleanarrayusp[.]:foreachnodeu,theentryusp[u]shouldbeifandonlyifthereisauniqueshortestpathstou(Note:usp[s]=true)foralledges(u,v)E:ifdist(v)>dist(u)+l(u,v)dist(v)=dist(u)+l(u,v)usp(v)=usp(u)elseifdist(v)=dist(u)+l(u,v)usp(v)=false

Therefore, the give problem has been solved by the modified Dijkstra’s algorithm.

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Most popular questions from this chapter

Consider a directed graph in which the only negative edges are those that leaves; all other edges are positive. Can Dijkstra's algorithm, started at s, fail on such a graph? Prove your answer.

You are given a directed graph G(V,E)with (possibly negative) weighted edges, along with a specific node sVand a tree T=(V,E'),E'E. Give an algorithm that checks whether T is a shortest-path tree for G with starting point s . Your algorithm should run in linear time.

You are given a directed graph with (possibly negative) weighted edges, in which the shortest path between any two vertices is guaranteed to have at most edges. Give an algorithm that finds the shortest path between two vertices u and v in O(KE)time.

Generalized shortest-paths problem.In Internet routing, there are delays on lines but also, more significantly, delays at routers. This motivates a generalized shortest-paths problem.

Suppose that in addition to having edge lengths {Ie:eE} ,a graph also has vertex costs {cV:vV} . Now define the cost of a path to be the sum of its edge lengths, plusthe costs ofall vertices on the path (including the endpoints). Give an efficient algorithm for the followingproblem.

Input:A directed graph G={V,E} positive edge lengths Ie and positive vertex costs cv; a starting vertex sv.

Output:An array cost[.] such that for every vertex u,costu, is the least cost of any path from s to u (i.e., the cost of the cheapest path), under the defnition above.

Notice that cost[s]=c.

Question: Prove that for the array prev computed by Dijkstra's algorithm, the edges {u,prepu}(forallv)form a tree.

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