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- Given 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/verticesLet G = (V, E) be an undirected graph and each edge e ∈ E is associated with a positive weight ℓ(e).For simplicity we assume weights are distinct. Is the following statement true or false? Let P be the shortest path between two nodes s, t. Now, suppose we replace each edge weight ℓ(e) withℓ(e)^2, then P is still a shortest path between s and t.Given 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.c
- Given a directed graph with non-negative edge weights, suppose we have computed the shortest paths from a given source to all the other vertices. If we modify the graph in such a way that the weights of all the edges are doubled, then, the shortest paths remain the same and only the total weights of the paths change. O True O FalseWe are given a directed graph G = (V, E) with edge weights w(e) for e E E. The edge weights are allowed to be negative. Let -C be the minimum value of the edge weights. Create a new set of edge weights w' (e) = w(e) + C. Thus these new weights are non-negative: w' (e) > 0 for all e € E. Run Dijkstra's algorithm from a specified start vertex s E V on G with these new weights w'. For every graph G, every weights w, and every s € V, the above algorithm is guaranteed to find the shortest paths in G (not the actual lengths but the paths) from s with respect to the original weights w: True False If you entered true, provide a short explanation. If you entered false provide a counterexample (show the graph and what the algorithm produces vs. the correct solution).We are given a directed graph G = (V, E) with edge weights w(e) for e E E. The edge weights are allowed to be negative. Let -C be the minimum value of the edge weights. Create a new set of edge weights w'(e) = w(e) + C. Thus these new weights are non-negative: w'(e) ≥ 0 for all e € E. Run Dijkstra's algorithm from a specified start vertex s € V on G with these new weights w'. For every graph G, every weights w, and every s E V, the above algorithm is guaranteed to find the shortest paths in G (not the actual lengths but the paths) from s with respect to the original weights w: True O False If you entered true, provide a short explanation. If you entered false provide a counterexample (show the graph and what the algorithm produces vs. the correct solution).
- Consider the following graph G. Which vertices of G have degree equal to 2. 0 0 A A B C D E F G t u B V с W D E X TI F y N GLet G be a directed graph where each edge is colored either red, white, or blue. A walk in G is called a patriotic walk if its sequence of edge colors is red, white, blue, red, white, blue, and soon. Formally ,a walk v0 →v1 →...vk is a patriotic walk if for all 0≤i<k, the edge vi →vi+1 is red if i mod3=0, white if i mod3=1,and blue if i mod3=2. Given a graph G, you wish to find all vertices in G that can be reached from a given vertex v by a patriotic walk. Show that this can be accomplished by efficiently constructing a new graph G′ from G, such that the answer is determined by a single call to DFS in G′. Do not forget to analyze your algorithm.Consider a graph with five nodes labeled A, B, C, D, and E. Let's say we have the following edges with their weights: A to B with weight 3 A to C with weight 1 B to C with weight 3 B to D with weight 1 C to E with weight 4 D to E with weight 2 a. Find the shortest path from A to E using Dijkstra's algorithm (Would anything change if B to C weight was changed from 3 to 4? To 1? What about 5?)
- Create an algorithm that, given a directed graph g = (v e) and a distinguished vertex s v, finds the shortest path from s to v for each v v. If g contains n vertices and e edges, your method must execute in o(n + e) time.Write a function that returns true (1) if there is an edge between given two vertices u and v, otherwise false (0), in an directed graph which is represented by adjacency lists.Given N cities represented as vertices V₁, V2, un on an undirected graph (i.e., each edge can be traversed in both directions). The graph is fully-connected where the edge eij connecting any two vertices vį and vj is the straight-line distance between these two cities. We want to search for the shortest path from v₁ (the source) to VN (the destination). ... Assume that all edges have different values, and €₁,7 has the largest value among the edges. That is, the source and destination have the largest straight-line distance. Compare the lists of explored vertices when we run the uniform-cost search and the A* search for this problem. Hint: The straight-line distance is the shortest path between any two cities. If you do not know how to start, try to run the algorithms by hand on some small cases first; but remember to make sure your graphs satisfy the conditions in the question.