
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Use proof by induction for the Shortest Path Distance algorithm of graph G where u and in S(u,v) cannot = infinity on graph G
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- Please help me solve this problemarrow_forwardI need an example of a graph where using Floyd's algorithm to find the shortest path doesn't give the right answer because of negative edge weightsarrow_forward1. Consider the weighted, directed graph containing the following vertices and edges.(Weights are in the parentheses.)Vertices: {A, B, C, D} Edges: {AB(5), BC(3), CA(4), AD(2), DA(4), CB(3)}a. Starting at vertex C, determine the shortest path tree using Dijkstrab. If you were to apply Floyd-Warshall’s algorithm to this tree, would it include the shortest path tree you found using Dijkstra? Why or why not?c. Starting at vertex C, determine the minimum spanning tree using Prim.d. Would Kruskal’s algorithm always result in the same MST as Prim’s? Why or why not? Please provide graphs if possible.arrow_forward
- Consider a graph G that is comprised only of non-negative weight edges such that (u, v) € E, w(u, w) > 0. Is it possible for Bellman-Ford and Dijkstra's algorithm to produce different shortest path trees despite always producing the same shortest-path weights? Justify your answer.arrow_forwardConsider a directed graph G=(V,E) with n vertices, m edges, a starting vertex s∈V, real-valued edge lengths, and no negative cycles. Suppose you know that every shortest path in G from s to another vertex has at most k edges. How quickly can you solve the single-source shortest path problem? (Choose the strongest statement that is guaranteed to be true.) a) O(m+n) b) O(kn) c) O( km) d) O(mn)arrow_forwardWe know that if the heuristic function in A* is good enough, then A* can always find a shortest weighted path between two vertices, and is generally much faster than Dijkstra. Assume we are using a graph where a good heuristic function is well defined for A*, such that A* can always find the same shortest paths as Dijkstra. Briefly explain when you should choose Dijkstra over A* in this case.arrow_forward
- 3. Given a Directed Acyclic Graph (DAG) G = (V,E), design an algorithm to determine whether there exists a path that can visit every node. The algorithm should have time complexity of O(|E|+ |V]). Prove why your algorithm is correct.arrow_forwardPlease help with algorithm no coding neededarrow_forwardExplain the Bellman-Ford Algorithm using the Single Source Shortest Path Algorithm (given a graph with a negative cycle).arrow_forward
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