1. Consider the following weighted graph. F B 10 5 G 15 E 30 D 5 10 5 15 20 A (a) Apply Dijkstra's Algorithm to the graph with A as the source/root and draw the graph for EACH step of the algorithm (include the initial state!). (b) Draw the minimum distance spanning tree associated with the algorithm with A as the root. Label the vertices! (c) Suppose a new graph is formed by deleting the edge between D and E. Run Dijkstra's Algorithm on this new graph with A as the source/root. You only need to provide the final graph produced by the algorithm.
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- Give answer step by step diagram Find The Minimum Spanning Tree For the below undirected graph using prim's algorithmConsider the undirected graph in Figure 1.a) Write down the adjacency matrix and adjacency lists specifying this graph. Assume that therows, columns and vertices in the adjacency list follow the alphabetical order of the vertex labels.b) Starting at vertex "S' and resolving ties by the vertex alphabetical order, traverse the graphby breadth first search and construct the corresponding breadth first search tree.2. For each graph representation, select the appropriate worst-case complexity for checking if two distinct vertices are connected: a. Adjacency Matrix: ________ b. Edge List: ________ c. Adjacency List: _________ Choices: O(V+E), O(E^2), O(V^2), O(E) Explain why.
- 2. Consider the graph G2(V2, E2) below. 2a. Find the MST of this graph with Kruskal’s algorithm. Draw the MST, and show the table [edge] [w(u, v)] [mark]. 2b. Find the MST of this graph with Prim’s algorithm starting at vertex 'a'. Draw the MST and list the vertices in order you added them to the MST. 2c. Would you get a different MST if you repeat 2b starting at vertex 'e'? Why or why not?For each graph representation, select the appropriate worst-case time complexity for printing the vertex label of all the neighbors of a given vertex. Assume that vertex label retrieval from a typical integer vertex representation is O(1). Adjacency Matrix: ________ Edge List: ________ Adjacency List: _________ Choices: O(V+E), O(E^2), O(V^2), O(E)Consider a weighted graph in which all the weights on the edges are distinct. Suppose that e is the edge with the largest weight. What is the property that the graph must have in order for e to be in the minimum spanning tree? Question options: 1) The graph must be a tree. 2) The edge e must be incident to a vertex of degree 1. 3) The weight of e must be close to the next largest weight. 4) The graph is no longer connected if e is removed.
- Answer True or False to the following claims: a. If G is graph on at most 5 vertices and every vertex has degree 2, then G is a cycle. b. Let G be a forest. If we add an edge to G, then G is no longer a forest. c. Let G be a graph, and let u, v, and w be vertices in G. Suppose that a shortest path from u to v in G is of length 3, andsuppose that a shortest path from v to w in G is of length 4. Then a shortest path from u to w in G is of length 7.For the following graph, answer the questions. (a) Report the order of the vertices encountered on a breadth-first search starting from vertex A. Break all ties by picking the vertices in alphabetical order (i.e., A before Z). (b) Report the order of the vertices encountered on a depth-first search starting from vertex A. Break all ties by picking the vertices in alphabetical order (i.e., A before Z).a) Write the adjacency matrix representing the graph above. b)Would you prefer to represent this graph (specifically the one above) as an adjacency list or as an adjacency matrix? Justify your answer. c) Topological sorting is an algorithm on graphs used to produce a schedule. Assuming each node in this graph represents an item, what is ONE schedule associated with the above graph? If the topological sorting algorithm cannot be run on the above graph, justify your answer.
- Prove that a minimum spanning tree of a graph component must include a shortest edge. It is possible, in Dijkstra’s algorithm, that an edge removed from the priority queue is not useful: it takes us to a previously visited node. Some of these extraneous edges can be avoided by not placing an edge in the priority queue if the destination has already been visited. Is it still possible to encounter an edge to a previously visited node?Consider the graph attached Find a minimum-cost spanning tree by Prim's algorithm. Find a minimum-cost spanning tree by Kruskal's algorithm. Find a depth-first spanning tree starting at a and at d. Find a breadth-first spanning tree starting at a and at d. Describe an algorithm to insert and delete edges in the adjacency list representation for an undirected graph. Remember that an edge (i, j) appears on the adjacency list for both vertex i and vertex j. Implement both Prim's algorithm and Kruskal's algorithm. Compare the running times of your programs on a set of "random" graphs. Write a program to find all the connected components of a graph. Consider the following list of integers: [1,2,3,4,5,6,7,8,9,10]. Show how this list is sorted by the following algorithms: bubble sort selection sort insertion sort shell sort (you decide on the increments) merge sort quick sort (you decide on the pivot valueCreate a 10 weighted connected graph with the following characteristics: • 10 vertices are alphabetically labeled starting with A. • Vertex A is not adjacent to vertex G. • At least two vertices have a degree greater than 2. • All weights are greater than 0. • No weights are the same. 1. Identify the degree of each vertex in your graph. 2. Explain whether the graph has an Euler path, using definitions, properties, or theorems. 3. Describe a path from vertex A to G. 4. Find the total weight of the path from part F3. Show all work.