Let G = (V, E, w) be a connected weighted undirected graph. Given a vertex s ∈ V and a shortest path tree Ts with respect to the source s, design a linear time algorithm for checking whether the shortest path tree Ts is correct or not.(C pseudo)
Let G = (V, E, w) be a connected weighted undirected graph. Given a vertex s...
Let G= (V, E) be a connected undirected graph and let v be a vertex in G. Let T be the depth-first search tree of G starting from v, and let U be the breadth-first search tree of G starting from v. Prove that the height of T is at least as great as the height of U
Reachability. You are given a connected undirected graph G = (V, E ) as an adjacency list. The graph G might not be connected. You want to fill-in a two-dimensional array R[,] so that R[u,v] is 1 if there is a path from vertex u to vertex v. If no such path exists, then R[u,v] is 0. From this two-dimensional array, you can determine whether vertex u is reachable from vertex v in O(1) time for any pair of vertices...
Problem 5. (15 marks) Given a connected, undirected, weighted graph G- (V, E), define the cost of a spanning tree to be the maximum weight among the weights associated with the edges of the spanning tree. Design an efficient algorithm to find the spanning tree of G which maximize above defined cost What is the complexity of your algorithm.
Problem 3's picture are given below. 5. (a) Let G = (V, E) be a weighted connected undirected simple graph. For n 1, let cycles in G. Modify {e1, e2,.. . ,en} be a subset of edges (from E) that includes no Kruskal's algorithm in order to obtain a spanning tree of G that is minimal among all the spanning trees of G that include the edges e1, e2, . . . , Cn. (b) Apply your algorithm in (a)...
Let G = (V, E) be a weighted undirected connected graph that contains a cycle. Let k ∈ E be the edge with maximum weight among all edges in the cycle. Prove that G has a minimum spanning tree NOT including k.
2. Let G = (V, E) be an undirected connected graph with n vertices and with an edge-weight function w : E → Z. An edge (u, v) ∈ E is sparkling if it is contained in some minimum spanning tree (MST) of G. The computational problem is to return the set of all sparkling edges in E. Describe an efficient algorithm for this computational problem. You do not need to use pseudocode. What is the asymptotic time complexity of...
Problem 4 Let G = (V. E) be an undirected, connected graph with weight function w : E → R. Furthermore, suppose that E 2 |V and that all edge weights are distinct. Prove that the MST of G is unique (that is, that there is only one minimum spanning tree of G).
Input a simple undirected weighted graph G with non-negative edge weights (represented by w), and a source node v of G. Output: TDB. D: a vector indexed by the vertices of G. Q: priority queue containing the vertices of G using D[] as key D[v]=0; for (all vertex ut-v) [D[u]-infinity:) while not Q. empty() 11 Q is not empty fu - Q.removein(); // retrieve a vertex of Q with min D value for (all vertex : adjacent to u such...
Problem #1 Let a "path" on a weighted graph G = (V,E,W) be defined as a sequence of distinct vertices V-(vi,v2, ,%)-V connected by a sequence of edges {(vi, t), (Ug, ta), , (4-1,Un)) : We say that (V, E) is a path from tovn. Sketch a graph with 10 vertices and a path consisting of 5 vertices and four edges. Formulate a binary integer program that could be used to find the path of least total weight from one...
Say that we have an undirected graph G(V, E) and a pair of vertices s, t and a vertex v that we call a a desired middle vertex . We wish to find out if there exists a simple path (every vertex appears at most once) from s to t that goes via v. Create a flow network by making v a source. Add a new vertex Z as a sink. Join s, t with two directed edges of capacity...