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- Run the Dijkstra's algorithm on the following graph and find all shortest paths between vertex A and all others. B 2 A 6 8 5 C 4 3 6 D 9 E F 10 1 5The Floyd-Warshall algorithm is a dynamic algorithm for searching the shortest path in a graph. Each vertex pair has its assigned weight. You are asked to draw the initial directed graph and show the tables for each vertex from Mo to Ms by finding all the shortest paths. Below is the algorithm as a guide. Algorithm 1: Pseudocode of Floyd-Warshall Algorithm Data: A directed weighted graph G(V, E) Result: Shortest path between each pair of vertices in G for each de V do | distance|d][d] «= 0; end for each edge (s, p) € E do | distance[s][p] + weight(s, p); end n = cardinality(V); for k = 1 to n do for i = 1 to n do for j = 1 to n do if distancefi][j] > distance/i][k] + distance/k][j] then | distance i]lj] + distancefi|[k] + distance/k|[j]; end end end end Consider the relation R = {(1,4) =4, (2,1)=3, (2,5)=-3, (3,4)=2, (4,2)=1, (4,3)=1, (5,4)=2 } on A = (1,2,3,4,5) solve the Floyd-Warshall Algorithm.5. Given an undirected graph with n vertices and m edges, find an O(n+m) time algorithm that determines whether it is possible to color all the vertices red and blue such that every edge is between a red vertex and blue vertex. If such a coloring exists, your algorithm should produce one.
- In the following graph, find all the shortest paths from vertex "a" to all the other vertices.Dijkstra's shortest path algorithm is run on the graph, starting at vertex B. When a vertex is dequeued, 0 or more adjacent vertices' distances are updated. For each iteration of the while loop in Dijkstra's algorithm, find the vertex dequeued and the adjacent vertices updated. Enter updated vertices as A, B, C or "none" if no adjacent vertices are updated. 9 B 3 A 8 5 10 E C 2 D Iteration Vertex dequeued Adjacent vertices updated 1 Ex: C Ex: A, B, C or none 2 3 + LO 5By using Dijkstra's algorithm, determine paths of minimum weight joining vertex A to all other vertices in the graph given below. G 2 12 7 B F 1 A 2 E 3 3 D 10
- Dijkstra's algorithm is an algorithm for finding the shortest paths between nodes in a weighted graph. Given a graph and a source vertex in the graph, find shortest paths from source vertex (E) to all vertices in the graph below. 1. 50 F 10 10 40 В 20 10 20 A 80 50 90 20 E 30 20 G Mention and explain the choice of data structure to track the previous node in this algorithm?Dijkstra's shortest path algorithm is run on the graph, starting at vertex C. When a vertex is dequeued, 0 or more adjacent vertices' distances are updated. For each iteration of the while loop in Dijkstra's algorithm, find the vertex dequeued and the adjacent vertices updated. Enter updated vertices as A, B, C or "none" if no adjacent vertices are updated. 3 A E 2 10 4 D 8 B 6 C Iteration Vertex dequeued Adjacent vertices updated 1 Ex: C Ex: A, B, C or none 2 3 A 5Dijkstra's shortest path algorithm is run on the graph, starting at vertex D. When a vertex is dequeued, 0 or more adjacent vertices' distances are updated. For each iteration of the while loop in Dijkstra's algorithm, find the vertex dequeued and the adjacent vertices updated. Enter updated vertices as A, B, C or "none" if no adjacent vertices are updated. 10 B 4 C 8 6 9 A LO 5 D E Iteration Vertex dequeued Adjacent vertices updated Ex: A, B, C or none 1 2 3 4 5 SHIRA Ex: C
- Dijkstra's shortest path algorithm is run on the graph, starting at vertex A. When a vertex is dequeued, 0 or more adjacent vertices' distances are updated. For each iteration of the while loop in Dijkstra's algorithm, find the vertex dequeued and the adjacent vertices updated. Enter updated vertices as A, B, C or "none" if no adjacent vertices are updated. 9 D E 8 5 6 3 C 2 B 1 A Iteration Vertex dequeued Adjacent vertices updated 1 Ex: C Ex: A, B, C or none 2 3 4 55. Fleury's algorithm is an optimisation solution for finding a Euler Circuit of Euler Path in a graph, if they exist. Describe how this algorithm will always find a path or circuit if it exists. Describe how you calculate if the graph is connected at each edge removal. Fleury's Algorithm: The algorithm starts at a vertex of v odd degree, or, if the graph has none, it starts with an arbitrarily chosen vertex. At each step it chooses the next edge in the path to be one whose deletion would not disconnect the graph, unless there is no such edge, in which case it picks the remaining edge (a bridge) left at the current vertex. It then moves to the other endpoint of that edge and adds the edge to the path or circuit. At the end of the algorithm there are no edges left ( or all your bridges are burnt). (NOTE: Please elaborate on the answer and explain. Please do not copy-paste the answer from the internet or from Chegg.)Draw a simple, connected, weighted graph with 8 vertices and 16 edges, each with unique edge weights. Identify one vertex as a “start” vertex and illustrate a running of Dijkstra’s algorithm on this graph. Problem R-14.23 in the photo