Incidence Table 1 E6 E7 A 0 0 B 0 1 0 с 0 0 0 0 D 0 0 1 0 1 E 0 0 0 0 0 -1 -1 For Items 18-22, refer to the incidence table on the previous page 20. The vertex with the highest degree is A. Vertex A C. Vertex C B. Vertex B D. Vertex D 21. What is the diameter of the graph? A. 1 C. 3 B. 2 D. 4 22. Which of the following statements is/are true? A. Edge E1 is incident from A B. Edge E1 is incident from B C. Edge E1 is incident from both A and B D. None of the above E1 E2 1 -1 1 0 -1 E3 E4 -1 0 1 0 -1 E5 0 0 1 -1 E8 0 0 0 1 0

Incidence Table 1 E6 E7 A 0 0 B 0 1 0 с 0 0 0 0 D 0 0 1 0 1 E 0 0 0 0 0 -1 -1 For Items 18-22, refer to the incidence table on the previous page 20. The vertex with the highest degree is A. Vertex A C. Vertex C B. Vertex B D. Vertex D 21. What is the diameter of the graph? A. 1 C. 3 B. 2 D. 4 22. Which of the following statements is/are true? A. Edge E1 is incident from A B. Edge E1 is incident from B C. Edge E1 is incident from both A and B D. None of the above E1 E2 1 -1 1 0 -1 E3 E4 -1 0 1 0 -1 E5 0 0 1 -1 E8 0 0 0 1 0

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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(c90)In my code below , can you help me achieve all the points in the image : #include <stdio.h>#include <stdlib.h>#include <string.h>#include <float.h>#include "graph.h"#include "dijkstra.h" #define INFINITY DBL_MAX /* find shortest paths between source node id and all other nodes in graph. *//* upon success, returns an array containing a table of shortest paths. *//* return NULL if *graph is uninitialised or an error occurs. *//* each entry of the table array should be a Path *//* structure containing the path information for the shortest path between *//* the source node and every node in the graph. If no path exists to a *//* particular desination node, then next should be set to -1 and weight *//* to DBL_MAX in the Path structure for this node */Path *dijkstra(Graph *graph, int id, int *pnEntries){ int n; int i, j; int* nv = get_vertices(graph, &n); int *S = malloc(n * sizeof(int)); double *D = malloc(n * sizeof(double));…
Using the list of random numbers, in the order they were generated [5, 7, 7, 2, 5, 8, 6, 2, 3, 4], complete the following tasks and questions. Draw an undirected graph using the list of random numbers, in the order they are generated. How many vertices does your undirected graph have? How many edges does undirected graph have? Give the degree of each vertex. You may find this by hand or use the application's "Degree" command. Draw a directed graph using the list of random numbers, in the order they were generated. (You may find the "Trail" command to be helpful for this task). How many vertices does your directed graph have? How many edges does your directed graph have? Give the indegree of each vertex. You may find this by hand or use the application's "InDegree" command. Give the outdegree of each vertex. You may find this by hand or use the application's "OutDegree" command. Is your directed graph a circuit? Why or why not?
As new links are created and old ones are removed among an existing set of Web pages, the pagesmove between different parts of the bow-tie structure of the Web.1. Describe an example of a graph where removing a single edge can reduce the size of thelargest strongly connected component by at least 1000 nodes. (Clearly you shouldn’t attemptto draw the full graph; rather, you can describe it in words, and also draw a schematicpicture.)2. Describe an example of a graph where adding a single edge can reduce the size of the setOUT by at least 1000 nodes. (Again, you should describe the graph rather than actuallydrawing it.)1
1. Which of the following is NOT a circuit in the graph? A) CBEC B) ABEA C) BCDCB D) None of the Above 2. Which of the following is NOT a path in the graph? A) FEBA B) FBCCD C) FEABCD D) All of the Above
Let’s consider there are 6 nodes. The nodes are denoted as A,B,C,D,E,F.The edges are(Remember all the edges are undirected)A->BA->CA->DB->EB->DC->DD->ED->FE->FQ- Draw the graph. Now assign weights.The value of the weights will be my id. my id is 201002259edge values from the starting.For example edge A->B value is 1A->C=2 similarly others and E->F=9From the above graph which you have drawn find the MST using Prim’s algorithm, alsowrite the algorithm and find the complexity using your graph.
a connected graph with 20 vertices contains 31 edges. without knowing which particular graph this is, what is the smallest and largest possible number of edges you can remove to get a spanning tree? smallest number of edges to romove: largest number of edges to remove:
please i need the answers of it. please somebody help meLet’s consider there are 6 nodes. The nodes are denoted as A,B,C,D,E,F.The edges are(Remember all the edges are undirected)A->BA->CA->DB->EB->DC->DD->ED->FE->FQ- Draw the graph. Now assign weights.The value of the weights will be my id. my id is 201002259edge values from the starting.For example edge A->B value is 1A->C=2 similarly others and E->F=9From the above graph which you have drawn find the MST using Prim’s algorithm, alsowrite the algorithm and find the complexity using your graph.
Which of the following is the size of an adjacency list graph representation? V refers to the number of vertices, E the number of edges. 1.O(V + E) 2.O(V * 2E) 3.O(V - E) 4.O(V * E)
function [ ] = square_spectrum( L,N )%Activity 1 for CEN415 Summer 2022 x=linspace(0,2*L,200);f1=(-1).^floor(x/L);plot(x,f1)f2=0;for n=1:2:N, f2=f2+4*sin(n*pi.*x/L)/n/pi;endhold onplot(x,f2)hold offend Q1= Which one is true? a. When the N increases, the approximated graph tends to be closer to the original square wave b. When the L increases, the approximated graph tends to be closer to the original square wave c. When the L decreases, the approximated graph tends to be closer to the original square wave d. When the N decreases, the approximated graph tends to be closer to the original square wave e. None
Correct answer will be upvoted else downvoted. The young lady will play out the accompanying activity with her tree, as long as she really wants: Eliminate any current edge. Add an edge between any pair of vertices. What is the base number of activities Nastia needs to get a bamboo from a tree? A bamboo is a tree where no hub has a degree more noteworthy than 2. Input The main line contains a solitary integer t (1≤t≤10000) — the number of experiments. The main line of each experiment contains a solitary integer n (2≤n≤105) — the number of vertices in the tree. Next n−1 lines of each experiments portray the edges of the tree in structure simulated intelligence, bi (1≤ai,bi≤n, ai≠bi). It's dependable the given diagram is a tree and the amount of n in one test doesn't surpass 2⋅105. Output For each experiment in the main line print a solitary integer k — the base number of activities needed to get a bamboo from the underlying tree. In the following k…
Pick the correct statements for the attached directed graph for a toy world wide web. 1. There are exactly six columns having a 1 as an entry. 2. If a new edge from node I to F is added, the resulting graph is strongly connected. 3. The smallest non-zero element in the link matrix is 1/4. 4. The link matrix Q has a column of all zeros. 5. The link matrix is a reducible matrix.
modify this code to find the required output; graph={ 1: [2,3], 2: [1,3], 3: [1,2,5, 4], 4: [6,11,3,5], 5: [7,4,3], 6: [8,4], 7: [5,9], 8: [6], 9: [7,10], 10: [9,12], 11: [12,4], 12: [10,11] } #perform depth-first search def dfs(graph, start, visited, charge): #current node as visited visited.add(start) #Check the Roomba needs to enter the charging station if charge <= 6: print(f" {start} (Charging, {charge} Wh) -> ") charge =12 else: print(f"{start} (Cleaning, {charge} Wh) ->") charge -= 1 #Take he list of adjacent nodes adj_nodes = graph[start] #Visit the unvisited adjacent nodes for node in adj_nodes: if node not in visited: dfs(graph, node, visited, charge) #user to enter the starting node start_node = int(input ("Enter starting node: ")) # Perform depth-first search starting from the starting node visited = set() dfs(graph, start_node, visited, 12) # Sample outputEnter starting node: 11 (Cleaning, 12 Wh) ->2…