/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 31 Write a depth-first search algor... [FREE SOLUTION] | 91影视

91影视

Log out

Learning Materials

Features

Discover

Chapter 9: Problem 31

Write a depth-first search algorithm to test whether a graph is connected.

Short Answer

Expert verified
Initially, all vertices are marked as unvisited. Then, depth-first search (DFS) is performed from any vertex of the graph. Once DFS is complete, if all vertices are visited, this means that the graph is connected. If there exist vertices which are not visited after DFS, then that means those vertices are not reachable from some other vertices and hence the graph is not connected. Described procedure can be implemented by a function named 'isConnected' that returns 'true' if the graph is connected, 'false' otherwise.

Step by step solution

01

Initialize visited list

First, initialize an array, 'visited', filled with 'false', to keep track of the visited nodes. The length of this array would be equal to the number of vertices.
02

DFS Implementation

Next, perform the DFS from any vertex. Implement a recursive function for DFS that marks the current node as visited and calls the recursive function for all adjacent unvisited vertices.
03

All vertices check

After performing the DFS, check if all vertices are visited by checking the 'visited' array. If there exists any 'false' value in the 'visited' array, it means that this corresponding vertex was not visited, hence the graph is not connected. Otherwise, if all values are 'true', it means that all vertices are reachable from some vertex, hence the graph is connected.
04

Putting it all together

Taking all this, create a function 'isConnected' that initially calls the DFS function from the 0th vertex and later checks if all vertices are visited. This function will return 'true' if the graph is connected and 'false' otherwise.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Graph Connectivity
Graph connectivity is a fundamental concept in graph theory. It refers to the idea of how well connected the vertices in a graph are. Connectivity determines whether there is a path between any two vertices in the graph. If such a path exists for every pair of vertices, the graph is considered connected.

In simpler terms, a connected graph means you can travel from any vertex to any other vertex without lifting your pen from the paper. If at least one vertex pair lacks a path, the graph is called disconnected. To assess graph connectivity, algorithms like Depth-First Search (DFS) can be employed.
DFS Algorithm
The DFS Algorithm, or Depth-First Search, is a core method used to explore graph structures. It systematically traverses the graph, visiting nodes as deep as possible before backtracking. Imagine exploring a maze, continually moving forward until reaching a dead end and then retracing your steps to find alternative paths.
  • Start from any initial vertex.
  • Mark it as visited and move to an adjacent unvisited vertex.
  • Repeat this process until all vertices that can be reached are visited.
  • Backtrack, if necessary, to ensure all vertices in the connected component are covered.
This search process helps in understanding the graph's structure and can be implemented using recursion or a stack structure to keep track of the traversal path.
Graph Traversal
Graph traversal is the process of visiting, checking, and/or updating each vertex in a graph. The traversal process allows observation and manipulation of graph elements in an orderly fashion. There are mainly two types of graph traversal methods: Depth-First Search (DFS) and Breadth-First Search (BFS).

While DFS focuses on exploring paths deeply, leading to potentially more complex ways of solving problems, BFS explores wide-ranging levels one by one. Each method has its use case based on the problem at hand. For determining connectivity, DFS can efficiently explore if all vertices are part of a single connected component.
Connected Graph
A connected graph is one in which there is a path between every pair of vertices. In practical terms, if you can traverse from any node to every other node in the graph, it's connected. This concept is crucial in networks, ensuring communication or signal can travel between all nodes.

For a graph with multiple vertices, checking if it is connected involves running a reachability test like DFS. If the DFS traversal from any vertex visits all other vertices, the graph is connected. If at least one vertex remains unvisited, the graph is disconnected. This connectivity property is vital in various fields, including computer networking, transportation, and social networks.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Show that the vertices of a tree can be colored with two colors so that each edge is incident on vertices of different colors.

Represent the expression as a binary tree and write the prefix and postfix forms of the expression. $$ ((A-C) * D) /(A+(B+D)) $$

Thirteen coins are identical in appearance, but one coin is either heavier or lighter than the others, which all weigh the same. How many weighings in the worst case are required to find the bad coin and determine whether it is heavier or lighter than the others using only a pan balance? Prove your answer.

Show that a tree is a bipartite graph.

For which values of \(m\) and \(n\) is the complete bipartite graph on \(m\) and \(n\) vertices a tree?
See all solutions

Recommended explanations on Math Textbooks

Discrete Mathematics

Read Explanation

Decision Maths

Read Explanation

Calculus

Read Explanation

Applied Mathematics

Read Explanation

Mechanics Maths

Read Explanation

Theoretical and Mathematical Physics

Read Explanation
View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.