In prim’s algorithm, if a graph G(V,E) is represented by its adjacency list and the priority queue is implemented using min-heap data structure, find the time complexity of the algorithm using big-oh asymptotic notation. Justify your answer in detail how you get the time complexity
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In prim’s algorithm, if a graph G(V,E) is represented by its adjacency list and the priority...
please justify. A Fibonacci heap is a fancy priority queue data structure. For a heap of size n, it takes O(log n) time to do an extractMin() operation but only O(1) time to do an insert or decrease operation. Suppose we replace the binary heap used in Dijkstra's algorithm by a Fibonacci heap. 6. If the graph is dense, what is the asymptotic complexity of Dijkstra's algorithm using a Fibonacci heap, in terms of V|? 7. If the graph is...
Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an algorithm that returns a list containing the neighbourhood degree for each node v V,...
This question needs to be done using pseudocode (not any particular programming language). Thanks Consider an unweighted, undirected graph G = 〈V, E). The neighbourhood of a node u E V in the graph is the set of all nodes that are adjacent (or directly connected) to v. Subsequently, we can define the neighbourhood degree of the node v as the sum of the degrees of all its neighbours (those nodes that are directly connects to v) (a) Design an...
Suppose is a directed graph represented by a adjacency lists. Divise a linear time algorithm that, given such a , returns a list of all the source vertices of . (Note, this list may be empty.) Prove your algorithm runs in -time. Hint: There is a simple solution that does not involve any DFS’s or BFS’s. G (V. E) We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
In class, we discussed the priority queue (PQ) ADT implemented using min-heap. In a min-heap, the element of the heap with the smallest key is the root of the binary tree. On the other hand, a max-heap has as root the element with the biggest key, and the relationship between the keys of a node and its parent is reversed of that of a min-heap. We also discussed an array-based implementation of heaps. In this assignment, your task is to...
Exercise (15 points) Consider an adjacency-list representation of a directed graph G=(V.E). a) Propose in pseudocode an algorithm A to compute the in-degree of each vertex in V. b) What is the time complexity of A? c) Propose in pseudocode an algorithm B to compute the out-degree of each vertex in V. d) What is the time complexity of B?
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...
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...
code Dijkstra's Algorithm for a directed graph example graph.txt: 0 (1,3) (3,5) 1 (2,6) 2 (4,2) 3 (1,1) (2,4) (4,6) 4 (0,3) (2,7) example dist.txt: 0 1 2 3 4 0 8 9 5 7 using a priority queue implemented as a heap. Input is from a file "graph.txt" which contains adjacency lists. Format of the file will be discussed in class. Source vertex is the first vertex in the list. Output is to the file "dist.txt" which contains the...
Analyze the worst-case complexity of the algorithm below when using an optimized adjacency list to store G. ComponentCount: Input: G = (V, E): an undirected graph with n vertices and m edges Input: n, m: the order and size of G, respectively Output: the number of connected components in G Pseudocode: comp = n uf = UnionFind(n) For v in V: For u in N(v): If (uf.Find(v) != uf.Find(u)) uf.Union(u, v) comp = comp - 1 End if End for...