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You are given a strongly connected directed graph G=(V,E) with positive edge weights along with a particularv0∈V . Give an efficient algorithm for finding shortest paths between all pairs of nodes, with the one restriction that these paths must all pass throughv0 .

Short Answer

Expert verified

All Pairs Shortest Path Algorithm is used to find the shortest distance between all pairs of nodes in a graph.

Step by step solution

01

Floyd-Warshall Algorithm

The algorithm is used to compute the shortest distance between every pair of vertices in a weighted graph. A graph with all edges having a numerical weight is called a Weighted graph.

02

Shortest distance Algorithm

The algorithm to find the shortest path between i and j through a particular vertex between all pairs is:

for all (i,j)∈E     dist(i,j,v0)=s(i,j)

Here,dist(i,j,v0) is the distance between vertices i and j with intermediate vertex v0.

The shortest path between all pairs of vertices (i,j)with the intermediate nodev0 is calculated as:

for i=1 to n:      for j=1 to n:          dist(i,j,v0)=mindist(i,v0,v0-1)+dist(v0,j,v0-1)+dist(i,j,v0-1)

Here, n is the number of vertices

Hence, an algorithm to find the shortest path between every node pair of a graph with one common intermediate node is obtained.

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Most popular questions from this chapter

Here's a proposal for how to find the length of the shortest cycle in an undirected graph with unit edge lengths. When a back edge, say (v,w), is encountered during a depth-first search, it forms a cycle with the tree edges from wtov. The length of the cyclelevel[v]-level[w+1] is where the level of a vertex is its distance in the DFS tree from the root vertex. This suggests the following algorithm:

• Do a depth-first search, keeping track of the level of each vertex.

• Each time a back edge is encountered, compute the cycle length and save it if it is smaller than the shortest one previously seen. Show that this strategy does not always work by providing a counterexample as well as a brief (one or two sentence) explanation.

Question: Often there are multiple shortest paths between two nodes of a graph. Give a linear-time algorithm for the following task.

Input: Undirected graph G = (V , E )with unit edge lengths; nodesu,v∈V

Output: The number of distinct shortest paths from utov.

Just like the previous problem, but this time with the Bellman-Ford algorithm.

Suppose Dijkstra’s algorithm is run on the following graph, starting at node A.

a) Draw a table showing the intermediate distance values of all the nodes at each iteration of the algorithm.

b) Show the final shortest-path tree.

Give an algorithm that takes as input a directed graph with positive edge lengths, and returns the length of the shortest cycle in the graph (if the graph is acyclic, it should say so). Your algorithm should take time at most O|V3|.

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