1) Given a weighted (positive weights) undirected graph G and a vertex A find the cost of the cheapest path that visits all the vertices. It doesn't need to return to A. It can visit vertices multiple times. need the algorithm and pseudocode for this approach.
ALGORITHM
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1) Given a weighted (positive weights) undirected graph G and a vertex A find the cost...
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)
You are given an undirected graph G = (V, E) with positive weights on the edges. If the edge weights are distinct, then there is only one MST, so both Prim’s and Kruskal’s algorithms will find the same MST. If some of the edge weights are the same, then there can be several MSTs and the two algorithms could find different MSTs. Describe a method that forces Prim’s algorithm to find the same MST of G that Kruskal’s algorithm finds.
IN JAVA Given is a weighted undirected graph G = (V, E) with positive weights and a subset of its edges F E. ⊆ E. An F-containing spanning tree of G is a spanning tree that contains all edges from F (there might be other edges as well). Give an algorithm that finds the cost of the minimum-cost F-containing spanning tree of G and runs in time O(m log n) or O(n2). Input: The first line of the text file...
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...
Suppose you are given an undirected graph G. Find a pair of vertices (u, v) in G with the largest number of common adjacent vertices (neighbors). Give pseudocode for this algorithm and show the worst-case running time.
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.
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...
Given a directed graph with positive edge lengths and a
specified vertex v in the graph, the "all-pairs"
v-constrained shortest path problem" is the problem of computing
for each pair of vertices i and j the shortest
path from i to j that goes through the vertex
v. If no such path exists, the answer is
. Describe an algorithm that takes a graph G= (V; E) and vertex
v as input parameters and computes values L(i; j) that
represent...
(T/F) For a given weighted connected graph G=(V, E), we would like to find the longest simple path between any two vertices. We can solve this problem by negating the edge weights and running Johnson’s algorithm.
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...