Introduction to Algorithms
3rd Edition
ISBN: 9780262033848
Author: Thomas H. Cormen, Ronald L. Rivest, Charles E. Leiserson, Clifford Stein
Publisher: MIT Press
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Chapter 27.2, Problem 6E
Program Plan Intro
To write a pseudocode and provide an analysisfor an efficient multithreaded implementation of the Floyd-Warshall
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When we want to calculate the shortest paths from a vertex using the Bellman-Ford algorithm, it is possible to stop early and not do all |V| - 1 iterations on graphs without a negative cycle. How can we modify the Bellman-Ford Algorithm so that it stops early when all distances are correct?
The reverse of a directed graph G = (V,E) is another directed graph G^R = (V,E^R) on the same
vertex set, but with all edges reversed; that is, E^R = {(v, u) : (u, v) ∈ E}.Give a linear-time algorithm for computing the reverse of a graph in adjacency list format.
Consider a graph G that is comprised only of non-negative weight edges such that (u, v) € E, w(u, w) > 0. Is it possible for Bellman-Ford and Dijkstra's algorithm to produce different shortest path trees despite always producing the same shortest-path weights? Justify your answer.
Chapter 27 Solutions
Introduction to Algorithms
Ch. 27.1 - Prob. 1ECh. 27.1 - Prob. 2ECh. 27.1 - Prob. 3ECh. 27.1 - Prob. 4ECh. 27.1 - Prob. 5ECh. 27.1 - Prob. 6ECh. 27.1 - Prob. 7ECh. 27.1 - Prob. 8ECh. 27.1 - Prob. 9ECh. 27.2 - Prob. 1E
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- Give an example of an input graph that demonstrates that your solution above may find different cycles on the same graph, depending on the order of the edges in the implementation. Next, provide an algorithm that prints the length of the shortest cycle in the graph. Provide the pseudo-code and justify the runtime of O(V E + V 2 ).arrow_forwardConsider a graph G that has k vertices and k −2 connected components,for k ≥ 4. What is the maximum possible number of edges in G? Proveyour answer.arrow_forwardGive a simple graph with an edge with a negative weight, and showthat Dijkstra’s algorithm gives the wrong answerarrow_forward
- True or False?Given an undirect and connected graph in which all edges have the same weight, we can design an algorithm to compute an MST in worst running time O(|V|)?arrow_forwardConnecting a Graph, Let G be an undirected graph. Give a linear time algorithm to compute the smallest number of edges that one would need to add to G in order to make it a connected graph??arrow_forwardRecall the Floyd-Warshall algorithm. For this problem, we are interested in the number of paths between each pair of vertices i and j in a directed acyclic graph. Suppose we know the number of paths between each pair of vertices where we restrict the intermediate vertices to be chosen from 1, 2, . . . , k − 1, show how we can extend the result to allow vertex k as an intermediate vertex as well. To conclude what would its complexity be?arrow_forward
- Provide an eficient algorithm that given a directed graph G with n vertices and m edges as input, finds the outdegree of each vertex in G. Note that outdegree of a vertex u is the number of edges directed from u to some other vertex v. Discuss the running-time of your algorithm and Provide an algorithm that given a directed graph G with n vertices and m edges as input, nds the indegree of each vertex in G. Note that indegree of a vertex u is the number of edges directed into u from some other vertex v. Discuss the running-time of your algorithm.arrow_forwardSuppose are you given an undirected graph G = (V, E) along with three distinct designated vertices u, v, and w. Describe and analyze a polynomial time algorithm that determines whether or not there is a simple path from u to w that passes through v. [Hint: By definition, each vertex of G must appear in the path at most once.]arrow_forwardWrite a program RandomSparseGraph to generate random sparse graphs for a well-chosen set of values of V and E such that you can use it torun meaningful empirical tests on graphs drawn from the Erdös-Renyi modelarrow_forward
- For any nontrivial graphs G and H, [G + H](bar) = G(bar) + H(bar).t/f?arrow_forwardLet G be a graph with n vertices. If the maximum size of an independent set in G is k, clearly explain why the minimum size of a vertex cover in G is n - k.arrow_forwardExplain the Kruskal’s shortest spanning tree algorithm with a suitable example by taking a graph with 7 vertices, 15 edges and with suitable weights for each edge.arrow_forward
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