We are given a graph G = (V,E) where V represents a set of locations and E represents a communications channel between two points. We are also given locations s, t ∈ V , and a reliability function r : V × V → [0, 1]. You need to give an efficient algorithm which will output the reliability of the most reliable path from s to t in G.
For any points u, v ∈ V , r(u, v) is the probability that the communication link (u, v) will not fail: 0 ≤ r(u, v) ≤ 1. Note that if there is a path with two edges, for example, from u to v tow, then the reliability of that path is r(u, v) · r(v, w).
We are given a graph G = (V,E) where V represents a set of locations and...
Viterbi algorithm We can use dynamic programming on a directed graph G = (V, E) for speech recognition. Each edge (u, v) in E is labeled with a sound s(u, v) from a finite set S of sounds. The labeled graph is a formal model of a person speaking a restricted language. Each path in the graph starting from a distinguished vertex v0 in V corresponds to a possible sequence of sounds produced by the model. The label of a...
Please show your work
3. Give an efficient algorithm that takes as input a directed graph G-(V,E) with edges labeled with either 0 or 1, and vertices s and t that ouputs TRUE if and only if there is a path (not necessarily simple) that goes from s to t such that the binary sequence of edges in the path avoids the substring "11" and outputs FALSE otherwise. (For example, the string 10100010 avoids 11 but the string 00101101110 does...
10. You are given a directed graph G(V, E) where every vertex vi E V is associated with a weight wi> 0. The length of a path is the sum of weights of all vertices along this path. Given s,t e V, suggest an O((n+ m) log n) time algorithm for finding the shortest path m s toO As usual, n = IVI and m = IEI.
Problem 1: Given a graph G (V,E) a subset U S V of nodes is called a node cover if each edge in E is adjacent to at least one node in U. Given a graph, we do not know how to find the minimum node cover in an efficient manner. But if we restriet G to be a tree, then it is possible. Give a greedy algorithm that finds the minimum node cover for a tree. Analyze its correctness...
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...
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...
Suppose we have a graph G = (V, E) with weights on the edges of E, and we are interested in computing a Minimum Spanning Tree (MST) of G. Suppose we modify the DFS algorithm so that when at a vertex v, we next visit the unvisited neighbor u such that the weight of (u, v) is minimized. Does this produce a MST of G? prove that it does or provide a counter example.
1. Given a graph G = (V, E). a) Design an algorithm to print all the shortest path from a starting node s to all other nodes b) Implement your proposed algorithm above in your preferred programming languages. You can choose to represent the edges in such graph by either adjacency matrix or adjacency list.
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...
MST For an undirected graph G = (V, E) with weights w(e) > 0 for each edge e ∈ E, you are given a MST T. Unfortunately one of the edges e* = (u, z) which is in the MST T is deleted from the graph G (no other edges change). Give an algorithm to build a MST for the new graph. Your algorithm should start from T. Note: G is connected, and G − e* is also connected. Explain...