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Prove Theorem 1
Using Theorem 1, describe an
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- Hi I need help writing a java program that implements Prim's algorithm. The imput of the program is given by the scanner with an undirected graph. First input line is the number of vertices, second input is the number of undirected edges. After that the input is a matrix of 3 by the number of undirected edges. The matrix firt 2 column contain the end points and the third column contains the weight . The output of the program is an integer representing the sum of all the edges that make up the minimum spanning tre. I have attach a picture for farther details. THANKSIn graph theory, graph coloring is a special case of graph labeling; it is an assignment of labels traditionally called "colors" to elements of a graph subject to certain constraints. In its simplest form, it is a way of coloring the vertices of a graph such that no two adjacent vertices share the same color; this is called a vertex coloring. The chromatic number of a graph is the least mumber of colors required to do a coloring of a graph. Example Here in this graph the chromatic number is 3 since we used 3 colors The degree of a vertex v in a graph (without loops) is the number of edges at v. If there are loops at v each loop contributes 2 to the valence of v. A graph is connected if for any pair of vertices u and v one can get from u to v by moving along the edges of the graph. Such routes that move along edges are known by different names: edge progressions, paths, simple paths, walks, trails, circuits, cycles, etc. a. Write down the degree of the 16 vertices in the graph below: 14…Please Answer this in C++ language: You're given a simple undirected graph G with N vertices and M edges. You have to assign, to each vertex i, a number C; such that 1 ≤ C; < N and Vi‡j, Ci ‡ Cj. For any such assignment, we define D; to be the number of neighbours jof i such that C;This task is solved in Python. 3. Write a function build_my_graph2 () that: a) creates the following Graph. b) runs Depth First Search (DFS) algorithm starting from node 'a' and prints all the visited nodes. What is printed in the output when you run the function? Note: you can use the implementation of Graph class and the DFS algorithm (provided in Lecture notes). class Graph: graph = dict() searched = [] def add_edge(self, node, neighbour): if node not in self.graph: self.graphinode] = [neighbour] else: self.graph[node].append(neighbour) def print_graph(self): print[self.graph) def depth first search(self, node): if node not in self.searched: print[[, node, end="1) self.searched.append(node)Undirected graph is given with the list of edges. Build an adjacency matrix. Print the number of ones in adjacency matrix. Graph can contain multiple edges and loops. Input First line contains number of vertices n. Each of the next line contains one edge. Read the edges till the end of file. Output Build an adjacency matrix. Print the number of ones in adjacency matrix. Sample input 3 1 2 23 22 32 Sample output 5The Graph Data Structure is made up of nodes and edges. (A Tree Data Structure is a special kind of a Graph Data Structure). A Graph may be represented by an Adjacency Matrix or an Adjacency List. Through this exercise, you should be able to have a better grasp the Adjacency Matrix concept. You are expected to read about the Adjacency Matrix concept as well as the Adjacency List concept. Suppose the vertices A, B, C, D, E, F, G and H of a Graph are mapped to row and column indices(0,1,2,3,4,5,6,and 7) of a matrix (i.e. 2-dimensional array) as shown in the following table. Vertex of Graph Index in the 2-D Array Adjacency Matrix Representation of Graph A B 2 F 6. H 7 Suppose further, that the following is an Adjacency Matrix representing the Graph. 3 4 5. 6. 7 0. 1 1 1 1 01 1 01 1. 3 14 1 1 1 6. 1 Exercise: Show/Draw the Graph that is represented by the above Adjacency matrix. Upload the document that contains your result. (Filename: AdjacencyMatrixExercise.pdf) Notes: -The nodes of the…Transcribed Image Text Elon Musk is running the graph construction business. A client has asked for a special graph. A graph is called special if it satisfies the following properties: • It has <105 vertices. It is a simple, undirected, connected 3-regular graph. It has exactly k bridge edges, (k given as input). For a graph G, define f(G) to be the minimum number of edges to be removed from it to make it bipartite. The client doesn't like graphs with a high value of f, so you have to minimize it. If there doesn't exist any special graph, print –1. Otherwise, find a special graph G with the minimum possible value of f(G) and also find a subset of its edges of size f(G) whose removal makes it bipartite. In case there are multiple such graphs, you can output any of those. Elon has assigned this task to you, now vou have to develon a C++ code that takes bridge edges as innut and print all the possible granhsThis task is solved in Python. 3. Write a function build_my_graph2 () that: a) creates the following Graph. b) runs Depth First Search (DFS) algorithm starting from node 'a' and prints all the visited nodes. What is printed in the output when you run the function? Note: you can use the implementation of Graph class and the DFS algorithm (provided in Lecture notes). 5.0 g h eUsing Matplotlib (based on python), write a code that takes the input of two different functions. The first function should be displayed first on a graph. Program such that the graph gradually transforms into the second function.2. Use the following description of an undirected graph and draw the graph: v(Graph1) = { A, B, C, D} E(Graph1) = { (A,B), (A,D), (B,C), (B,D) }Write a program (WAP) in c to create an undirected graph using adjacency matrix representation.Number of nodes and edges should be taken from the user. After creating the graph, performfollowing operations: (i) Search a node. Take the node number from the user. If the node is found then print its associatededges.(ii) Insert a node in the graph.(iii) Insert an edge in the graph. Take the node numbers from the user between which the edge is tobe inserted.(iv) Delete a node from the graph. Take the node number to be deleted from the user.(v) Apply DFS on the graph and print the graph traversal.(vi) Apply BFS on the graph and print the graph traversal.2. Solve the above problem using adjacency list representation.Programming with Python: v Implement Depth First Search (Traversal) v Implement Breadth First Traversal For the implementation: 1. Create a directed graph with 10 Vertices 2. Add arbitrary edges among vertices to satisfy the directed graph 3. Run your program and show appropriate output (Traversal order) 4. Your implementation should be fully commented Please, submit your source code and output (Screen Capture) too.SEE MORE QUESTIONS