Consider a directed graph G = (N, E). Breadth-first search and depth-first search both have a...
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Consider a directed graph G = (N, E). Breadth-first search and depth-first search both have a runtime complexity of ~|N| + |E| if we represent the graph with an adjacency list. P1.1. What is the runtime complexity of breadth-first search and depth-first search when we use the matrix representation? Explain your answer. P1.2. Consider the ordered edge list representation that represents a graph by an ordered array A that holds |E| edges. The order of edges is as follows: edge (n₁, m₁) € A comes before (n₂, m₂) € A if id(ny) < id(n₂) or if id(n)= id(n) Aid(m₁) ≤ id(m₂). What is the runtime complexity of breadth-first search and depth-first search when we use the ordered edge list representation? Explain your answer. Consider a directed graph G = (N, E). Breadth-first search and depth-first search both have a runtime complexity of ~|N| + |E| if we represent the graph with an adjacency list. P1.1. What is the runtime complexity of breadth-first search and depth-first search when we use the matrix representation? Explain your answer. P1.2. Consider the ordered edge list representation that represents a graph by an ordered array A that holds |E| edges. The order of edges is as follows: edge (n₁, m₁) € A comes before (n₂, m₂) € A if id(ny) < id(n₂) or if id(n)= id(n) Aid(m₁) ≤ id(m₂). What is the runtime complexity of breadth-first search and depth-first search when we use the ordered edge list representation? Explain your answer.
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In a directed graph G N E lets analyze the runtime complexity of breadthfirst search BFS and depthfirst search DFS when using different representations 1 Adjacency Matrix Representation ... View the full answer
Related Book For
Discrete and Combinatorial Mathematics An Applied Introduction
ISBN: 978-0201726343
5th edition
Authors: Ralph P. Grimaldi
Posted Date:
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