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d4b54b8294
* feat: Define graph structure in breadth_first_search * using instead of typedef
198 lines
6.1 KiB
C++
198 lines
6.1 KiB
C++
/**
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*
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* \file
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* \brief [Breadth First Search Algorithm
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* (Breadth First Search)](https://en.wikipedia.org/wiki/Breadth-first_search)
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*
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* \author [Ayaan Khan](http://github.com/ayaankhan98)
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*
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* \details
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* Breadth First Search also quoted as BFS is a Graph Traversal Algorithm.
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* Time Complexity O(|V| + |E|) where V are the number of vertices and E
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* are the number of edges in the graph.
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*
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* Applications of Breadth First Search are
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*
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* 1. Finding shortest path between two vertices say u and v, with path
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* length measured by number of edges (an advantage over depth first
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* search algorithm)
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* 2. Ford-Fulkerson Method for computing the maximum flow in a flow network.
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* 3. Testing bipartiteness of a graph.
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* 4. Cheney's Algorithm, Copying garbage collection.
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*
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* And there are many more...
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*
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* <h4>working</h4>
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* In the implementation below we first created a graph using the adjacency
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* list representation of graph.
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* Breadth First Search Works as follows
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* it requires a vertex as a start vertex, Start vertex is that vertex
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* from where you want to start traversing the graph.
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* We maintain a bool array or a vector to keep track of the vertices
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* which we have visited so that we do not traverse the visited vertices
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* again and again and eventually fall into an infinite loop. Along with this
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* boolen array we use a Queue.
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*
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* 1. First we mark the start vertex as visited.
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* 2. Push this visited vertex in the Queue.
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* 3. while the queue is not empty we repeat the following steps
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*
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* 1. Take out an element from the front of queue
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* 2. Explore the adjacency list of this vertex
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* if element in the adjacency list is not visited then we
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* push that element into the queue and mark this as visited
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*
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*/
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#include <algorithm>
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#include <cassert>
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#include <iostream>
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#include <queue>
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#include <vector>
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/**
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* \namespace graph
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* \brief Graph algorithms
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*/
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namespace graph {
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/**
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* \brief Representation of the graph as an adjacency list.
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*
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* For every vertex, there is a list of its neighbors in the order in which
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* they were added to the graph. By default, the edges are directed, but
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* an undirected graph can be represented simply by storing each each as
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* two directed edges in both directions.
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*/
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using adjacency_list = std::vector<std::vector<int>>;
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/**
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* \brief
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* Adds a directed edge from vertex u to vertex v.
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*
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* @param graph Adjacency list representation of graph
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* @param u first vertex
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* @param v second vertex
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*
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*/
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void add_directed_edge(adjacency_list *graph, int u, int v) {
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(*graph)[u].push_back(v);
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}
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/**
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* \brief
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* Adds an undirected edge from vertex u to vertex v.
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* Essentially adds too directed edges to the adjacency list reprsentation
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* of the graph.
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*
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* @param graph Adjacency list representation of graph
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* @param u first vertex
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* @param v second vertex
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*
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*/
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void add_undirected_edge(adjacency_list *graph, int u, int v) {
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add_directed_edge(graph, u, v);
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add_directed_edge(graph, v, u);
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}
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/**
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* \brief
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* Function performs the breadth first search algorithm over the graph
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*
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* @param graph Adjacency list representation of graph
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* @param start vertex from where traversing starts
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* @returns a binary vector indicating which vertices were visited during the
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* search.
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*
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*/
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std::vector<bool> breadth_first_search(const adjacency_list &graph, int start) {
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/// vector to keep track of visited vertices
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std::vector<bool> visited(graph.size(), false);
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/// queue that stores vertices that need to be further explored
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std::queue<int> tracker;
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/// mark the starting vertex as visited
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visited[start] = true;
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tracker.push(start);
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while (!tracker.empty()) {
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size_t vertex = tracker.front();
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tracker.pop();
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for (auto x : graph[vertex]) {
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/// if the vertex is not visited then mark it as visited
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/// and push it to the queue
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if (!visited[x]) {
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visited[x] = true;
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tracker.push(x);
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}
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}
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}
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return visited;
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}
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} // namespace graph
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/** Test function */
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static void tests() {
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/// Test 1 Begin
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graph::adjacency_list graph(4, std::vector<int>());
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graph::add_undirected_edge(&graph, 0, 1);
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graph::add_undirected_edge(&graph, 1, 2);
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graph::add_undirected_edge(&graph, 2, 3);
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std::vector<bool> returned_result = graph::breadth_first_search(graph, 2);
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std::vector<bool> correct_result = {true, true, true, true};
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assert(std::equal(correct_result.begin(), correct_result.end(),
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returned_result.begin()));
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std::cout << "Test 1 Passed..." << std::endl;
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/// Test 2 Begin
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returned_result = graph::breadth_first_search(graph, 0);
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assert(std::equal(correct_result.begin(), correct_result.end(),
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returned_result.begin()));
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std::cout << "Test 2 Passed..." << std::endl;
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/// Test 3 Begins
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graph.clear();
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graph.resize(6);
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graph::add_directed_edge(&graph, 0, 1);
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graph::add_directed_edge(&graph, 0, 2);
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graph::add_directed_edge(&graph, 1, 3);
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graph::add_directed_edge(&graph, 2, 3);
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graph::add_directed_edge(&graph, 1, 4);
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graph::add_directed_edge(&graph, 3, 5);
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returned_result = graph::breadth_first_search(graph, 2);
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correct_result = {false, false, true, true, false, true};
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assert(std::equal(correct_result.begin(), correct_result.end(),
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returned_result.begin()));
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std::cout << "Test 3 Passed..." << std::endl;
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}
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/** Main function */
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int main() {
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tests();
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size_t vertices = 0, edges = 0;
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std::cout << "Enter the number of vertices: ";
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std::cin >> vertices;
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std::cout << "Enter the number of edges: ";
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std::cin >> edges;
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graph::adjacency_list graph(vertices);
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std::cout << "Enter space-separated pairs of vertices that form edges: "
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<< std::endl;
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while (edges--) {
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int u = 0, v = 0;
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std::cin >> u >> v;
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// Decrement the vertex index so that we can read more convenint
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// 1-based indexing from the user input.
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graph::add_directed_edge(&graph, u - 1, v - 1);
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}
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graph::breadth_first_search(graph, 0);
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return 0;
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}
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