3)
take graph in adjacency matrix: A and compute A3...then we get all distinct paths of length 3 between every pair of nodes in the graph...
explanation: if we compute A3 then each value in A3[i][j] represents the number of disting walks between the nodes i to j in the graph
the time complexity: is O(n^3),, where n ithe number of nodes///
Triangle is a complete graph on 3 vertices (see below) You are given a graph G, and you need to calculate the number of triangles contained in G. Develop an efficient (better than cubic) algorithm to...
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.
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...
Suppose you are given a connected graph G, with edge costs that you may assume are all distinct. G has n vertices and m edges. A particular edge e of G is specified. Give an algorithm with running time O(m + n) to decide whether e is contained in a minimum spanning tree of G.
Problem 3 (15 points). Let G (V,E) be the following directed graph. a. 1. Draw the reverse graph G of G. 2. Run DFS on G to obtain a post number for each vertex. Assume that in the adjacency list representation of G, vertices are stored alphabetically, and in the list for each vertex, its adjacent vertices are also sorted alphabetically. In other words, the DFS algorithm needs to examine all vertices alphabetically, and when it traverses the adjacent vertices...
(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)...
Subject: Algorithm need this urgent please thank you. 4. Give pseudocode for an algorithm that will solve the following problem. Given an array A[1..n) that contains every number between 1 and n +1 in order, except that one of the numbers is missing. Find the miss sorted ing mber. Your algorithm should run in time (log n). (Hint: Modify Binary search). A pseudocode means an algorithm with if statements and loops, etc. Don't just write a paragraph. Also, if your...
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...
Definition: Given a Graph \(\mathrm{G}=(\mathrm{V}, \mathrm{E})\), define the complement graph of \(\mathrm{G}, \overline{\boldsymbol{G}}\), to be \(\bar{G}=(\mathrm{V}, E)\) where \(E\) is the complement set of edges. That is \((\mathrm{v}, \mathrm{w})\) is in \(E\) if and only if \((\mathrm{v}, \mathrm{w}) \notin \mathrm{E}\) Theorem: Given \(\mathrm{G}\), the complement graph of \(\mathrm{G}, \bar{G}\) can be constructed in polynomial time. Proof: To construct \(G\), construct a copy of \(\mathrm{V}\) (linear time) and then construct \(E\) by a) constructing all possible edges of between vertices in...
10) Shortest Paths (10 marks) Some pseudocode for the shortest path problem is given below. When DIJKSTRA (G, w,s) is called, G is a given graph, w contains the weights for edges in G, and s is a starting vertex DIJKSTRA (G, w, s) INITIALIZE-SINGLE-SOURCE(G, s) 1: RELAX (u, v, w) 1: if dlv] > dlu (u, v) then 2d[v] <- d[u] +w(u, v) 3 4: end if 4: while Q φ do 5: uExTRACT-MIN Q) for each vertex v...
In this question, we will think about how to answer shortest path problems where we have more than just a single source and destination. Answer each of the following in English (not code or pseudocode). Each subpart requires at most a few sentences to answer. Answers significantly longer than required will not receive full credit You are in charge of routing ambulances to emergency calls. You have k ambulances in your fleet that are parked at different locations, and you...