This question is based on the graph given on the right side. A Simulate traversal of all vertices starting at E node 'A' using Breadth First Search (BFS) and Depth First Search (DFS). Use D F alphabetical order to break ties. Show the state of your auxiliary data structures (e.g., stack/queue) at each step.

30. In the implementation for a breadth-first search we studied, a queue was used. The code below replaces the queue with a stack. List the pre-order enumeration that the vertices in the graph below are visited using this modified method, starting from vertex 0. } 3 /** stack-based search */ static void modSearch (Graph G, int start) { Stack S new AStack (G.n()); S.push(start); } 6 G.setMark (start, VISITED); while (S.length) > 0) { } modSearch: intv S.pop(); PreVisit (G, v); for (int w = G.first (v); w < G.n(); w = G.next(v, w)) if (G.getMark (w) == UNVISITED) { G.setMark (w, VISITED); S.push(w);

Given that we discovered a circular array implementation for queues to be favorable, does this suggest we would find a circularly-linked list to be similarly advantageous? Why should I/shouldn't l?