Push wr0 onto s where r0 is a reference to the first

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push (w,r0) onto S where r0 is a reference to the first element in the adjacency list of w (or it’s nil if that list is empty) mark w as visited 5. (30 pts) Recall that a simple is a path in which no vertex is repeated. Give the pseudocode of an algorithm that, given a digraph G and a node s returns the length of the longest [TYPO: insert “simple” here] path that starts at s . [MISTAKE: I should not have said longest simple path but rather the longest among all the shortest simple paths to other vertices. That’s why you can do it with BFS.] 3 Additional Problems 1. In any connected undirected graph without cycles and with at least two nodes it is possible to remove a node such that the remaining graph is still connected, true or false? Answer TRUE. Such a graph is a tree. After removing a leaf (there must be at least one leaf) the graph remains connected. 2. If we run DFS and BFS on the same undirected connected graph starting at the same node then the resulting spanning trees will have the same number of edges, true or false? Answer TRUE. Let the graph have n nodes. Any of its spanning trees has n - 1 edges, no matter how it was obtained, by DFS, BFS, or any other way. 3. There exist undirected graphs with 3 nodes one of which is labeled s such that DFS and BFS starting at s produce the same spanning tree, true or false? Answer TRUE. Example: a-----s-----b in both cases the spanning tree produced is the graph itself. 4. Every undirected simple graph (i.e., without self-loops and parallel edges) with 4 nodes has 2 or more distinct spanning trees, true or false? Answer FALSE. If the graph is actually a tree than it has only one spanning tree: itself (no matter how many nodes there are). 5. Consider the digraph on eight nodes, labelled 0 through 7, with the 13 directed edges 0->1 6->3 6->5 1->6 7->1 7->3 1->4 4->2 6->0 0->7 3->4 5->2 2->3 Suppose we run the directed DFS algorithm on this digraph starting at node 0. We assume that DFS explores the adjacency list of a node in the numerical order of the labels of the nodes. (a) Draw the rooted tree of discovery edges produced by this algorithm. Answer DFS will explore the nodes and edges in the following order: 4
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0 0->1 1 1->4 4 4->2 2 2->3 3 3->4 1->6 6 6->0 6->3 6->5 5 5->2 0->7 7 7->1 7->3 The nodes and the discovery edges form the following rooted tree 0 / \ / \ / \ 1 7 / \ / \ 4 6 / / 2 5 / 3 (b) The rooted tree that you obtained can be considered as a binary tree if the children of a node are ordered in the numerical order of their labels. List the nodes of this tree in inorder. Answer 3 2 4 1 5 6 0 7 (c) Give an example of a back-edge found by the DFS algorithm. Answer The first back-edge found by the algorithm is 3->4 . It is a back edge because it links the node 3 to a node that is an ancestor of 3 in the spanning tree, namely node 4. (FYI, We call the other edges cross-edges. The last cross-edge found by the algorithm is 7->3 . When the graph is directed, like here, we also have forward-edges. There is no forward-edge in this run of DFS. However, if we also had the edge 4->3 in this graph then it would end up labeled as a forward edge.) 6. We run the DFS algorithm on a connected simple undirected graph (recall that simple means no
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