EBK DATA STRUCTURES AND ALGORITHMS IN C
4th Edition
ISBN: 9781285415017
Author: DROZDEK
Publisher: YUZU
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3) The graph k-coloring problem is stated as follows: Given an undirected graph G= (V,E)
with N vertices and M edges and an integer k. Assign to each vertex v in V a color c(v)
such that 1
Let V= {cities of Metro Manila} and E = {(x; y) | x
and y are adjacent cities in Metro Manila.}
(a) Draw the graph G defined by G = (V; E). You
may use initials to name a vertex representing
a city.
(b) Apply the Four-Color Theorem to
determine the chromatic number of the vertex
coloring for G.
The following table(picture) presents the implementation of the Dijkstra algorithm on the evaluated graph G with 8 vertices.
Reconstruct all edges of the graph G from the first 5 rows of the Dijkstra algorithm.
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- 3. From the graph above determine the vertex sequence of the shortest path connecting the following pairs of vertex and give each length: a. V & W b. U & Y c. U & X d. S & V e. S & Z 4. For each pair of vertex in no. 3 give the vertex sequence of the longest path connecting them that repeat no edges. Is there a longest path connecting them?arrow_forwardDijkstra'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 5arrow_forwardGiven a graph that is a tree (connected and acyclic). (1) Pick any vertex v. (II) Compute the shortest path from v to every other vertex. Let w be the vertex with the largest shortest path distance. (III) Compute the shortest path from w to every other vertex. Let x be the vertex with the largest shortest path distance. Consider the path p from w to x. Which of the following are true a. p is the longest path in the graph b. p is the shortest path in the graph c. p can be calculated in time linear in the number of edges/vertices a,c a,b a,b,c b.carrow_forward
- 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 5arrow_forwardDijkstra'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 5arrow_forwardGiven a graph that is a tree (connected and acyclic). (I) Pick any vertex v.(II) Compute the shortest path from v to every other vertex. Let w be the vertex with the largest shortest path distance.(III) Compute the shortest path from w to every other vertex. Let x be the vertex with the largest shortest path distance. Consider the path p from w to x. Which of the following are truea. p is the longest path in the graphb. p is the shortest path in the graphc. p can be calculated in time linear in the number of edges/verticesarrow_forward
- Dijkstra'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: Carrow_forwardThe following table presents the implementation of Dijkstra's algorithm on the evaluated graph G with 8 vertices. a) What do the marks (0, {a}) and (∞, {x}) in the 1st row of the table mean? b) What do the marks marked in blue in the table mean? c) Reconstruct all edges of the graph G resulting from the first 5 rows of the table of Dijkstra's algorithm. d) How many different shortest paths exist in the graph G between the vertices a and g?arrow_forwardFor the following graph, list the vertices in the order they might be encountered in a breadth first search (BFS) starting at vertex A. No need to use any spaces, e.g., ACFGHIDBE In cases when there are multiple possibilities for the next vertex, choose them in alphabetical order (for reference: A, B, C, D, E, F, G, H, I) A B E Harrow_forward
- 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.arrow_forwardSuppose you have a graph G with 6 vertices and 7 edges, and you are given the following information: The degree of vertex 1 is 3. The degree of vertex 2 is 4. The degree of vertex 3 is 2. The degree of vertex 4 is 3. The degree of vertex 5 is 2. The degree of vertex 6 is 2. What is the minimum possible number of cycles in the graph G?arrow_forwardRun Dijkstra's algorithm on the following graph, starting from vertex A. Whenever there are multiple choices of vertex at the same time, choose the one that is alphabetically first. You are expected to show how you initialize the graph, how you picked a vertex and update the d values at the each, and what is final shortest distance of each vertex from A. B 11 A F Earrow_forward
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