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

Short Answer

Expert verified

The table that illustrates the Bellman-Ford algorithm’s values:

Step by step solution

01

Explain Bellman’s Ford Algorithm

Bellman-Ford algorithm marks the source vertex and 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. The graph may contain negative weights.

02

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

(a)

Consider the given graph ,

Set S as the starting node.

In the zeroth iteration, set all the vertices values as. At the first iteration, the path from S to A is calculated by checking all the possibilities from all the nodes. The table is updated with all the incoming vertices.

Likewise, for each iteration, the source to the particular vertex distance is updated.

The table that shows the intermediate values is as follows,

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

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Most popular questions from this chapter

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?

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)

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

Suppose we want to run Dijkstra’s algorithm on a graph whose edge weights are integers in the range 0,1,........,W, where Wis a relatively small number.
(a) Show how Dijkstra’s algorithm can be made to run in time

O(W|V|+|E|)

(b) Show an alternative implementation that takes time just .

O((|V|+|E|)logW)

Squares.Design and analyse an algorithm that takes as input an undirected graph G(V,E) and determines whether graph contains a simple cycle (that is, a cycle which doesn’t intersect itself) of length four. Its running time should be at mostO(V3) time.

You may assume that the input graph is represented either as an adjacency matrix or with adjacency lists, whichever makes your algorithm simpler.

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