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 .

Short Answer

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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:

forall(i,j)Edist(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:

fori=1ton:forj=1ton: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

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

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

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.

Shortest path algorithms can be applied in currency trading. Let c1,c2,cn be various currencies; for instance, c1might be dollars, c2pounds, and c3 lire.

For any two currencies ci and cj , there is an exchange rate τi,j; this means that you can purchase τi,j units of currency cj in exchange for one unit of cj. These exchange rates satisfy the condition that rij.rji<1 so that if you start with a unit of currency cj, change it into currency and then convert back to currency localid="1658917254028" ci, you end up with less than one unit of currency ci (the difference is the cost of the transaction).

a. Give an efficient algorithm for the following problem: Given a set of exchange rates rij , and two currencies s and t , find the most advantageous sequence of currency exchanges for converting currency into currency . Toward this goal, you should represent the currencies and rates by a graph whose edge lengths are real numbers.

The exchange rates are updated frequently, rejecting the demand and supply of the various currencies. Occasionally the exchange rates satisfy the following property: there is a sequence of currencies ci1,ci2,.......ciksuch that ri1,ri2.i3,.........ri(k-1),ik,rik+1>1. This means that by starting with a unit of currency ci1and then successively converting it to currencies ci1,ci2.......cik, and finally back to ci1, you would end up with more than one unit of currency ci1 . Such anomalies Last only a fraction of a minute on the currency exchange, but they provide an opportunity for risk-free profits.

b. Give an efficientalgorithm for detecting the presence of such an anomaly. Use the graph representation you found above.

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