Introduction to Algorithms
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 24, Problem 5P

(a)

Program Plan Intro

To show that if μ *=0 then the graph should not contains any negative weight cycle and ξk(s, v), v ∈ V .

(b)

Program Plan Intro

To show that if µ*=0 then δn(s,v)δk(s,v)nk0 , k ∈ (0,…., n -1), for all v ∈ V .

(c)

Program Plan Intro

To prove that δ(s,v)=δ(s,u)+x , if x is the weight of path from vertex u to vertex v on 0-weight cycle.

(d)

Program Plan Intro

To show that μ *=0 then δn(s,v)δk(s,v)nk0 , k ∈ (0,...., n -1), for all v∈ Von every minimum mean weight cycle.

(e)

Program Plan Intro

To show that if μ *=0, minvVmax0kn1δn(s,v)δk(s,v)nk=0 .

(f)

Program Plan Intro

To show if a constant t is added to weight of each edge of G , then μ *increases by t . Also show µ*=minvVmax0kn1δn(s,v)δk(s,v)nk

(g)

Program Plan Intro

To provide an algorithm that takes O (VE) time to evaluate μ *.

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We recollect that Kruskal's Algorithm is used to find the minimum spanning tree in a weighted graph. Given a weighted undirected graph G = (V , E, W), with n vertices/nodes, the algorithm will first sort the edges in E according to their weights. It will then select (n-1) edges with smallest weights that do not form a cycle. (A cycle in a graph is a path along the edges of a graph that starts at a node and ends at the same node after visiting at least one other node and not traversing any of the edges more than once.) Use Kruskal's Algorithm to nd the weight of the minimum spanning tree for the following graph.
Consider a graph with five nodes labeled A, B, C, D, and E. Let's say we have the following edges with their weights: A to B with weight 3 A to C with weight 1 B to C with weight 2 B to D with weight 1 C to E with weight 4 D to E with weight 2 a. Find the shortest path from A to E using Dijkstra's algorithm b. Use Prim to find the MST c. Use Kruskal to find the MST d. What's the difference between Prim and Kruskal algorithms? Do they always have the same result? Why or why not.
Consider a graph with five nodes labeled A, B, C, D, and E. Let's say we have the following edges with their weights: A to B with weight 3 A to C with weight 1 B to C with weight 2 B to D with weight 1 C to E with weight 4 D to E with weight 2 a. Find the shortest path from A to E using Dijkstra's algorithm. (Draw the finished shortest path) b. Use Prim to find the MST (Draw the finished MST) c. Use Kruskal to find the MST (Draw the finished MST) d. What's the difference between Prim and Kruskal algorithms? Do they always have the same result? Why or why not.
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