Consider the following undirected weighted graph: 6 A. 24 B. 23 C. 15 D. 19 a b 2 f 7 4 10 d 7 (1) What is the weight of the MST using Kruskal's Algorithm? (2) Please draw the graph of the MST generated by using Kruskal's Algorithm.
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- Using Dijkstra algorithm, visualize the steps to get shortest path from node A to all other nodes.a. How many links would such a circuit have? b. How many different paths would this algorithm examine? c. If this algorithm is run on a computer where it takes 0.0001 seconds to examine a single path, what is the total time required to examine all paths? d. On the same computer, what is the approximate total time required to examine all paths in a graph withe 12 nodes, each of which has four choices for the next node?max edge distance Simplification key Figure 4-1: A sample process for the Douglas-Peucker algorithm The Douglas-Peucker algorithm is for the selection of representative points to simplify a curve composed of line segments. It uses a point-to-edge distance tolerance. The algorithm starts with a crude simplification that is the single edge joining the first and last vertices of the original polyline. It then computes the perpendicular distance of all intermediate vertices to that edge. The vertex that is furthest away from that edge, and that has a computed distance that is larger than a specified tolerance, will be marked as a key and added to the simplification. This process will recurse for each edge in the current simplification until all vertices of the original polyline are within tolerance of the simplification results. This process is illustrated in Figure 4-1. (1) Given three points (xp, Yp), (Xa, Ya), (Xp,Yb), show a detailed process to compute the perpendicular distance from p…
- In the following graph, find all the shortest paths from vertex "a" to all the other vertices.Given the below graph, show the minimum spanning tree using an adjacency matrix. You may use scratch paper to draw the graph if you wish. 12 A В 2 3 E F 8 G H 10 A В D E F G A В C D E F G H |||20. Use Prim's algorithms AND the Kruskal's algorithm to find the minimum spanning tree for the given weighted graph. Draw and show each step. 5 b 4 a 3 5 3 7 e d f 8 4 h 2 3. 2.
- Note: Solve the following question and please don't repost previous answers and don't give a computer generated answer. Problem: Draw a simple, connected, directed, weighted graph with 9 vertices and 17 edges, each with unique edge weights. Identify one vertex as a “start” vertex and illustrate a running of Dijkstra’s algorithm on this graph.c) Given the following Graph and after applying Dijkstra algorithm, the final table looks as given below. 16 10 11 12 XXX H 4 18 Fr Vertex known d. T A 7 B T 0 15 H 19 C 41 M J B C D E F G I J JJ K L M T T T T T T T T T T T 6 2 20 5 7 14 31 P G 10 K 30 D G J K T 10 560 From this information, find out the shortest path from the source vertex B to vertex I, trace the path and also find out the shortest distance.7. Consider the following graph: A 14 CO D 9 E C 12 10 17 b) What is the weight of the minimum spanning tree? B Apply Kruskal's algorithm to find the minimum spanning tree. Edges are sorted first by length, and in the event of a tie, by name, where the two letters are in alphabetical order. Use makeset (x), find (x), and union (x, y) to determine if there are cycles. a) Circle the edges that are part of the minimum spanning tree. AC, AD, AE, BC, BD, BE, DE c) Draw the tree that results from applying the union-find algorithm for cycle detection. When drawing the tree, put vertices with lower letters in the left subtrees so that all the vertices in a level are sorted alphabetically from left to right
- Suppose you have a graph with 100 nodes and 500 edges and you want to find the shortest path between two nodes using Dijkstra's algorithm. What is the time complexity of this operation?Computer science question helpMark Zuckerberg, the CEO of Facebook, has hired you to lead the Facebook Algorithms Group. He has asked you to use various graph algorithms to analyze the world's largest social network. The Facebook Graph has 2.8 billion vertices, with each vertex being a Facebook user. Two vertices are connected provided those two users are "friends". The first decision you need to make is how you want to model the Facebook graph. Determine whether you should use an adjacency-list representation or an adjacency-matrix representation.