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Problem 3 ( 2 0 points ) . The DFS algorithm that we discussed in class uses the adjacency list representation of a graph G

Problem 3(20 points). The DFS algorithm that we discussed in class uses the adjacency list representation of a graph G=(V,E) and its time cost is O(|V|+|E|). Suppose you are only given the matrix representation of G, describe your pseudocode for DFS of G using the matrix representation. Give the time complexity of your algorithm in the big-oh notation and make your bound as tight as possible. Did you learn why we used the adjacency list representation for DFS in class ? Note: you can assume matrix [i,j]=1 if (i,j)inE; matrix [i,j]=0, otherwise.
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