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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.

Short Answer

Expert verified

(a)The table showing the intermediate distance values is as follows.


(b)The final shortest-path tree is as follows:

Step by step solution

01

Explain Dijkstra’s algorithm

Dijkstra’s shortest-path algorithm marks all the distance of all the vertices as infinity. As the algorithm runs, when each vertex is visited, the distance between the vertices is calculated and the lowest distance values are updated at each iteration.

02

Show a table showing the intermediate distance values of all the nodes.

(a)

Consider the given graph ,

Set A as the starting node.

In the first iteration, set all the vertices values as . At the second iteration, the path from A to B is set to 1. At the third iteration, path from A to C is updated to 3 since it is the shortest path.

At the fourth iteration, path from A to D is set to 4 , that is the total of (1+2+1) . At the fifth iteration A to E is set to 4 , that is the direct path.

At the sixth iteration, A to F is set to 8 , that is the direct path. At the seventh iteration, A to F is set to 7 , since it is comparatively lowest cost path.

At the nineth iteration, A to G is set to 7 at first, then it will be updated to 5 on the next iteration. At the last iteration, A to H is set to 8, and later it will be updated to 6 .

The table that shows the intermediate values is as follows,

Therefore, The table showing the intermediate distance values is obtained.

03

Step 3:Show the final shortest-path tree.

(b)

The final shortest-path tree have the shortest path with lowest distance cost is as follows,

Therefore, the above figure represents the final shortest-path tree.

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Most popular questions from this chapter

You are given a strongly connected directed graph G=(V,E) with positive edge weights along with a particularv0V . Give an efficient algorithm for finding shortest paths between all pairs of nodes, with the one restriction that these paths must all pass throughv0 .

Section 4.5.2 describes a way of storing a complete binary tree of n nodes in an array indexed by 1, 2, K, n .

(a) Consider the node at position j of the array. Show that its parent is at position [j2]and its children are at 2 jand 2 j + 1 (if these numbers are n).

(b) What the corresponding indices when a complete d-ary tree is stored in an array?

Figure 4.16 shows pseudocode for a binary heap, modeled on an exposition by R.E. Tarjan. The heap is stored as an array , which is assumed to support two constant-time operations:

  • |h|, which returns the number of elements currently in the array;
  • h-1, which returns the position of an element within the array.

The latter can always be achieved by maintaining the values of h-1as an auxiliary array.

(c) Show that themakeheapprocedure takesO(n) time when called on a set of elements. What is the worst-case input? (Hint:Start by showing that the running time is at most 1=1nlog(ni)).

(d) What needs to be changed to adapt this pseudocode to d-ary heaps?

Give an O|V|2algorithm for the following task.

Input:An undirected graph G=(V,E); edge lengths Ie>0;an edge eE.

Output:The length of the shortest cycle containing edge e

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|.

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.

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