Given A is adjacent matrix of directed graph of V
vertices.
(A)Algorithm to check if graph has a sink or not
We need to eliminate n – 1 non-sink vertices in O(V) time and check
the remaining vertex for the sink property.
step-1 To eliminate vertices, we check whether a particular
index (A[i][j]) in the adjacency matrix is a 1 or a 0.
(i)If it is a 0, it means that the vertex corresponding to index j
cannot be a sink.
(ii)If the index is a 1, it means the vertex corresponding to i
cannot be a sink. We keep increasing i and j in this fashion until
either i or j exceeds the number of vertices.
step-2 keep doing step-1 until one vertex left.
At last we are left with only vertex i.
We now check for whether row i has only 0s and whether row j as
only 1s except for A[i][i], which will be 0.
8, (10 pts) Show that given a directed graph G = (V,E) already stored in adjacency matrix form, determining if there is a vertex with in-degree n - 1 and out-degree 0 can be done in O(n) time whe...
For a directed graph the in-degree of a vertex is the number of edges it has coming in to it, and the out- degree is the number of edges it has coming out. (a) Let G[i,j] be the adjacency matrix representation of a directed graph, write pseudocode (in the same detail as the text book) to compute the in-degree and out-degree of every vertex in the Page 1 of 2 CSC 375 Homework 3 Spring 2020 directed graph. Store results...
114points Let G- (V,E) be a directed graph. The in-degree of a vertex v is the number of edges (a) Design an algorithm (give pseudocode) that, given a vertex v EV, computes the in-degree of v under (b) Design an algorithm (give pseudocode) that, given a vertex v E V, computes the in-degree of v incident into v. the assumption that G is represented by an adjacency list. Give an analysis of your algorithm. under the assumption that G is...
Assume that the adjacency list representing a directed graph G has already been constructed. Show how to determine whether G contains a universal sink, that is a vertex with in-degree |V | − 1 and out-degree 0, in time O(|V |). **Please explain in detail
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 1: Dynamic Programming in DAG Let G(V,E), |V| = n, be a directed acyclic graph presented in adjacency list representation, where the vertices are labelled with numbers in the set {1, . . . , n}, and where (i, j) is and edge inplies i < j. Suppose also that each vertex has a positive value vi, 1 ≤ i ≤ n. Define the value of a path as the sum of the values of the vertices belonging to...
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.
Consider the following directed graph, which is given in adjacency list form and where vertexes have numerical labels: 1: 2, 4, 6 2: 4, 5 3: 1, 2, 6, 9 4: 5 5: 4, 7 6: 1, 5, 7 7: 3, 5 8: 2, 6, 7 9: 1, 7 The first line indicates that the graph contains a directed edge from vertex 1 to vertex 2, from 1 to vertex 4, and 1 to 6, and likewise for subsequent lines....
Let G (V, E) be a directed graph with n vertices and m edges. It is known that in dfsTrace of G the function dfs is called n times, once for each vertex It is also seen that dfs contains a loop whose body gets executed while visiting v once for each vertex w adjacent to v; that is the body gets executed once for each edge (v, w). In the worst case there are n adjacent vertices. What do...
(a) Given a graph G = (V, E) and a number k (1 ≤ k ≤ n), the CLIQUE problem asks us whether there is a set of k vertices in G that are all connected to one another. That is, each vertex in the ”clique” is connected to the other k − 1 vertices in the clique; this set of vertices is referred to as a ”k-clique.” Show that this problem is in class NP (verifiable in polynomial time)...
Translate psuedo code for computing chromatic number of a grapgh to java code 1 //graph G, vertices n, vertices are numbered o,1-- //G i //colors are stored in arrayq //qlil has color of vertex i, initially all0 s stored in adjacency list or adjacency matrix p , returns chromatic number //colors G using mininum number of colors int color () for (i 1 to n) //if G can be colored using i colors starting at vertex 0 if (color (0,...