21.2-4 Suppose that all edge weights in a graph are integers in the range from 1 to [V]. How fast can you make Kruskal's algorithm run? What if the edge weights are integers in the range from 1 to W for some constant W? Kruskal's algorithm Kruskal's algorithm finds a safe edge to add to the growing forest by finding, of all the edges that connect any two trees in the forest, an edge (u, v) with the lowest weight. Let C₁ and C₂ denote the two trees that are connected by (u, v). Since (u, v) must be a light edge connecting C₁ to some other tree, Corollary 21.2 implies that (u, v) is a safe edge for C₁. Kruskal's algorithm qualifies as a greedy algorithm because at each step it adds to the forest an edge with the lowest possible weight. 9 (1) 11 14 11 14 7 8 10 10 (K) a 11 14 (1) 11 7. 7. 6 10 (0 4 (m) a 11 7. 6 8 Figure 21.4, continued Further steps in the execution of Kruskal's algorithm. b 14 11 1 141 7 6 10 10 2 1
21.2-4 Suppose that all edge weights in a graph are integers in the range from 1 to [V]. How fast can you make Kruskal's algorithm run? What if the edge weights are integers in the range from 1 to W for some constant W? Kruskal's algorithm Kruskal's algorithm finds a safe edge to add to the growing forest by finding, of all the edges that connect any two trees in the forest, an edge (u, v) with the lowest weight. Let C₁ and C₂ denote the two trees that are connected by (u, v). Since (u, v) must be a light edge connecting C₁ to some other tree, Corollary 21.2 implies that (u, v) is a safe edge for C₁. Kruskal's algorithm qualifies as a greedy algorithm because at each step it adds to the forest an edge with the lowest possible weight. 9 (1) 11 14 11 14 7 8 10 10 (K) a 11 14 (1) 11 7. 7. 6 10 (0 4 (m) a 11 7. 6 8 Figure 21.4, continued Further steps in the execution of Kruskal's algorithm. b 14 11 1 141 7 6 10 10 2 1
C++ Programming: From Problem Analysis to Program Design
8th Edition
ISBN:9781337102087
Author:D. S. Malik
Publisher:D. S. Malik
Chapter8: Arrays And Strings
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