5.03-3. Dijkstra's Algorithm (3, part 3). Consider the network shown below, and Dijkstra's link-state algorithm. Here, we are interested in computing the least cost path from node E to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 2" row in the table below showing the link state algorithm's execution by matching the table entries (i), (ii), (iii), (iv) and (v) with their values. Write down your final [correct] answer, as you'll need it for the next question. Step 0 (i) E (iii) (iv) (v) - 2 1 A 2 3 2 B 8 N' E € 10 E 2 (ii) F A D(A),p(A) D(B) [Choose ] 6,F 1,E 8,F 4,E EFB 8,D 6,D EFD 9,D [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] < F D(F),p(F) 2,E

5.03-3. Dijkstra's Algorithm (3, part 3). Consider the network shown below, and Dijkstra's link-state algorithm. Here, we are interested in computing the least cost path from node E to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 2" row in the table below showing the link state algorithm's execution by matching the table entries (i), (ii), (iii), (iv) and (v) with their values. Write down your final [correct] answer, as you'll need it for the next question. Step 0 (i) E (iii) (iv) (v) - 2 1 A 2 3 2 B 8 N' E € 10 E 2 (ii) F A D(A),p(A) D(B) [Choose ] 6,F 1,E 8,F 4,E EFB 8,D 6,D EFD 9,D [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] < F D(F),p(F) 2,E

C++ for Engineers and Scientists

4th Edition

ISBN:9781133187844

Author:Bronson, Gary J.

Publisher:Bronson, Gary J.

Chapter13: Structures

Section: Chapter Questions

Problem 4PP

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THIS IS MY CODE HELP ME ACHIEVE POINTS OUTLINED BELOW : #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)); int *R = malloc(n…
I use this code but I cant get the first graph from the picture, I get second graph. Why?? Code: t=(0:0.5:20); % t is a vector which contains time values from 0 to 20s with a step size of 0.5a=sin(t); % a is a sin(t) functionx=pi/6:15:pi/2; % phase difference φ for 30,45,60,90b=sin(t+x); % b is a sin(t+x) funcion plot(t,a) % plot the sin(t) function with respect to ttitle('sin(t) versus Time') % add title to graphxlabel('time') % add x-label to the graphylabel('sin(t)') % add y-label to the graphlegend('sin(t)') % add legend to the graph figure % to plot multiple linesplot(t,a,t,b,'--') % plot the sint(t) & sin(t+x) function with respect to ttitle('Function versus Time') % add title to the graphxlabel('time') % add x-label to the graphylabel('Function') % add y-label to the graphlegend('sin(t)','sin(t+x)') % add legend to the graph % Create a figure divided into four subplotssubplot(2,2,1) % divides the current figure into an 2-by-2 grid and creates axes in the position…
Consider eight points on the Cartesian two-dimensional xx-yy plane. For each pair of vertices uu and vv, the weight of edge uvuv is the Euclidean (Pythagorean) distance between those two points. For example, dist(a,h) = \sqrt{4^2 + 1^2} = \sqrt{17}dist(a,h)=42+12=17 and dist(a,b) = \sqrt{2^2 + 0^2} = 2dist(a,b)=22+02=2. Using the algorithm of your choice, determine one possible minimum-weight spanning tree and compute its total distance, rounding your answer to one decimal place. Clearly show your steps.
Consider the (directed) network in the attached document We could represent this network with the following Prolog statements: link(a,b). link(a,c). link(b,c). link(b,d). link(c,d). link(d,e). link(d,f). link(e,f). link(f,g). Now, given this network, we say that there is a "connection" from a node "X" to a node "y" if we can get from "X" to "Y" via a series of links, for example, in this network, there is a connection from "a" to "d", and a connection from "c" to "f", etc.
Q1. Given a 2d grid map of '1's (land) and '0's (water),count the number of islands.An island is surrounded by water and is formed byconnecting adjacent lands horizontally or vertically.You may assume all four edges of the grid are all surrounded by water. Example 1: 11110110101100000000Answer: 1 Example 2: 11000110000010000011Answer: 3""" def num_islands(grid): count = 0 for i in range(len(grid)): for j, col in enumerate(grid[i]): if col == 1: dfs(grid, i, j) count += 1 Please code it.
Instead of a single link list, if a circular and double link list is used, namely, the list is a circle and can move both ways, what is the optimal number of skip nodes (express stations) for N original nodes (local stations)? Justify your conclusion with mathematical details
link(a,b). link(a,c). link(b,c). link(b,d). link(c,d). link(d,e). link(d,f). link(e,f). link(f,g). Using The above Formulate the appropriate Prolog predicate "path(X,Y,N)" which is true if (and only if) there is a path of length "N" from node "X" to node "Y". For example, there is a path of length 2 from "a" to "d": "a->b->d", but also "a->c->d", and so "path(a,d,2)" gives "true" (two times). There is also a path of length 3 from "a" to "d": "a->b->c->d". Test this predicate out on the above network to verify whether or not it is working correctly. Once this is working correctly, note now, that e.g., "path(a,e,N)." will give multiple answers:
make me a graph representation of this code make it in canva/or draw.io only need a screenshot of the graph graph = { 'S': {'U': 1, 'B': 3, 'T':1}, 'U': {'S': 2}, 'B': {'U': 4, 'T':8, 'S':5, 'A':7}, 'T': {'S':2, 'B':6, 'D':2}, 'D': {'B':7, 'A':2, 'C':4}, 'A': {'U':9, 'B':3, 'D':6}, 'C': {'A':8, 'D':5},
Let G be an undirected graph whose vertices are the integers 1 through 8, and let the adjacent vertices of each vertex be given by the table below: look at the picture sent Assume that, in a traversal of G, the adjacent vertices of a given vertex are returned in the same order as they are listed in the table above. Which statement of the following is correct? group of answer choices a) The sequence of vertices visited using a DFS traversal starting at vertex 1: 1, 2, 3, 4, 6, 5, 7, 8. b) The sequence of vertices visited using a BFS traversal starting at vertex 1: 1, 2, 3, 4, 6, 5, 7, 8. c) Both sequences are wrong. d) Both sequences are correct.
Please help... Adding one more vertices... highlighted with with bold... Let A, B, C, D be the vertices of a square with side length 100. If we want to create a minimum-weight spanning tree to connect these four vertices, clearly this spanning tree would have total weight 300 (e.g. we can connect AB, BC, and CD). But what if we are able to add extra vertices inside the square, and use these additional vertices in constructing our spanning tree? Would the minimum-weight spanning tree have total weight less than 300? And if so, where should these additional vertices be placed to minimize the total weight? Let G be a graph with the vertices A, B, C, D, and possibly one or more additional vertices that can be placed anywhere you want on the (two-dimensional) plane containing the four vertices of the square. Determine the smallest total weight for the minimum-weight
Computer Science Create a circular link list with at least 7 nodes, and explain in words that how insertion, deletion of a node, and traverse will work. No need for codes and algorithm, just explain in words and design the circular link of 7 nodes.
give an example of a network with no more than 6 nodes and define all the data structure used by a distence vector and a link state algorithm. perform one iteration for both the algorithm families and show the aforementioned structires are uptaded