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Merge pull request #986 from fhlasek/fixgraph
fhlasek/fixgraph: refactor of graph/ to follow the linter style
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commit
dfe5bd7638
@ -40,7 +40,8 @@ add_subdirectory(backtracking)
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add_subdirectory(data_structures)
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add_subdirectory(machine_learning)
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add_subdirectory(numerical_methods)
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add_subdirectory(graph)
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cmake_policy(SET CMP0054 NEW)
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cmake_policy(SET CMP0057 NEW)
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find_package(Doxygen OPTIONAL_COMPONENTS dot dia)
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@ -71,6 +71,7 @@
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* [Tree Height](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/dynamic_programming/tree_height.cpp)
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## Geometry
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* [Jarvis Algorithm](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/geometry/jarvis_algorithm.cpp)
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* [Line Segment Intersection](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/geometry/line_segment_intersection.cpp)
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## Graph
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@ -79,10 +80,11 @@
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* [Connected Components](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/connected_components.cpp)
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* [Connected Components With Dsu](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/connected_components_with_dsu.cpp)
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* [Cycle Check Directed Graph](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/cycle_check_directed_graph.cpp)
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* [Dfs](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dfs.cpp)
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* [Dfs With Stack](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dfs_with_stack.cpp)
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* [Depth First Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/depth_first_search.cpp)
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* [Depth First Search With Stack](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/depth_first_search_with_stack.cpp)
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* [Dijkstra](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dijkstra.cpp)
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* [Hamiltons Cycle](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/hamiltons_cycle.cpp)
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* [Is Graph Bipartite](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/is_graph_bipartite.cpp)
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* [Kosaraju](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/kosaraju.cpp)
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* [Kruskal](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/kruskal.cpp)
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* [Lowest Common Ancestor](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/lowest_common_ancestor.cpp)
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20
graph/CMakeLists.txt
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20
graph/CMakeLists.txt
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@ -0,0 +1,20 @@
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# If necessary, use the RELATIVE flag, otherwise each source file may be listed
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# with full pathname. RELATIVE may makes it easier to extract an executable name
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# automatically.
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file( GLOB APP_SOURCES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp )
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# file( GLOB APP_SOURCES ${CMAKE_SOURCE_DIR}/*.c )
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# AUX_SOURCE_DIRECTORY(${CMAKE_CURRENT_SOURCE_DIR} APP_SOURCES)
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foreach( testsourcefile ${APP_SOURCES} )
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# I used a simple string replace, to cut off .cpp.
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string( REPLACE ".cpp" "" testname ${testsourcefile} )
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add_executable( ${testname} ${testsourcefile} )
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set_target_properties(${testname} PROPERTIES
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LINKER_LANGUAGE CXX
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)
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if(OpenMP_CXX_FOUND)
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target_link_libraries(${testname} OpenMP::OpenMP_CXX)
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endif()
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install(TARGETS ${testname} DESTINATION "bin/graph")
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endforeach( testsourcefile ${APP_SOURCES} )
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@ -53,7 +53,7 @@ using AdjList = std::map<unsigned int, std::vector<unsigned int>>;
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*/
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class Graph {
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public:
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Graph() : m_vertices(0), m_adjList({}) {}
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Graph() : m_adjList({}) {}
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~Graph() = default;
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Graph(Graph&&) = default;
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Graph& operator=(Graph&&) = default;
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@ -65,8 +65,8 @@ class Graph {
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* @param vertices specify the number of vertices the graph would contain.
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* @param adjList is the adjacency list representation of graph.
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*/
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Graph(unsigned int vertices, AdjList const& adjList)
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: m_vertices(vertices), m_adjList(adjList) {}
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Graph(unsigned int vertices, AdjList adjList)
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: m_vertices(vertices), m_adjList(std::move(adjList)) {}
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/** Create a graph from vertices and adjacency list.
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*
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@ -142,7 +142,7 @@ class Graph {
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}
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private:
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unsigned int m_vertices;
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unsigned int m_vertices = 0;
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AdjList m_adjList;
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};
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133
graph/depth_first_search.cpp
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133
graph/depth_first_search.cpp
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/**
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*
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* \file
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* \brief [Depth First Search Algorithm
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* (Depth First Search)](https://en.wikipedia.org/wiki/Depth-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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* Depth First Search also quoted as DFS is a Graph Traversal Algorithm.
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* Time Complexity O(|V| + |E|) where V is number of vertices and E
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* is number of edges in graph.
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*
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* Application of Depth First Search are
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*
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* 1. Finding connected components
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* 2. Finding 2-(edge or vertex)-connected components.
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* 3. Finding 3-(edge or vertex)-connected components.
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* 4. Finding the bridges of a graph.
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* 5. Generating words in order to plot the limit set of a group.
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* 6. Finding strongly connected components.
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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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* 1. Mark all vertices as unvisited first
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* 2. start exploring from some starting vertex.
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*
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* While exploring vertex we mark the vertex as visited
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* and start exploring the vertices connected to this
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* vertex in recursive way.
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*
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*/
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#include <algorithm>
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#include <iostream>
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#include <vector>
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/**
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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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*/
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namespace graph {
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/**
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* \brief
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* Adds and edge between two vertices of graph say u and v in this
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* case.
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*
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* @param adj 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 addEdge(std::vector<std::vector<size_t>> *adj, size_t u, size_t v) {
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/*
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*
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* Here we are considering undirected graph that's the
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* reason we are adding v to the adjacency list representation of u
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* and also adding u to the adjacency list representation of v
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*
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*/
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(*adj)[u - 1].push_back(v - 1);
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(*adj)[v - 1].push_back(u - 1);
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}
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/**
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*
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* \brief
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* Explores the given vertex, exploring a vertex means traversing
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* over all the vertices which are connected to the vertex that is
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* currently being explored.
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*
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* @param adj garph
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* @param v vertex to be explored
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* @param visited already visited vertices
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*
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*/
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void explore(const std::vector<std::vector<size_t>> &adj, size_t v,
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std::vector<bool> *visited) {
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std::cout << v + 1 << " ";
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(*visited)[v] = true;
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for (auto x : adj[v]) {
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if (!(*visited)[x]) {
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explore(adj, x, visited);
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}
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}
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}
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/**
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* \brief
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* initiates depth first search algorithm.
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*
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* @param adj adjacency list of graph
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* @param start vertex from where DFS starts traversing.
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*
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*/
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void depth_first_search(const std::vector<std::vector<size_t>> &adj,
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size_t start) {
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size_t vertices = adj.size();
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std::vector<bool> visited(vertices, false);
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explore(adj, start, &visited);
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}
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} // namespace graph
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/** Main function */
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int main() {
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size_t vertices = 0, edges = 0;
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std::cout << "Enter the Vertices : ";
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std::cin >> vertices;
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std::cout << "Enter the Edges : ";
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std::cin >> edges;
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/// creating graph
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std::vector<std::vector<size_t>> adj(vertices, std::vector<size_t>());
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/// taking input for edges
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std::cout << "Enter the vertices which have edges between them : "
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<< std::endl;
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while (edges--) {
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size_t u = 0, v = 0;
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std::cin >> u >> v;
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graph::addEdge(&adj, u, v);
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}
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/// running depth first search over graph
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graph::depth_first_search(adj, 2);
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std::cout << std::endl;
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return 0;
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}
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46
graph/depth_first_search_with_stack.cpp
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46
graph/depth_first_search_with_stack.cpp
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@ -0,0 +1,46 @@
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#include <iostream>
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#include <list>
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#include <vector>
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#include <stack>
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constexpr int WHITE = 0;
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constexpr int GREY = 1;
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constexpr int BLACK = 2;
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constexpr int INF = 99999;
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void dfs(const std::vector< std::list<int> > &graph, int start) {
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std::vector<int> checked(graph.size(), WHITE);
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checked[start] = GREY;
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std::stack<int> stack;
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stack.push(start);
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while (!stack.empty()) {
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int act = stack.top();
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stack.pop();
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if (checked[act] == GREY) {
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std::cout << act << ' ';
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for (auto it : graph[act]) {
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stack.push(it);
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if (checked[it] != BLACK) {
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checked[it] = GREY;
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}
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}
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checked[act] = BLACK; // nodo controllato
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}
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}
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}
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int main() {
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int n = 0;
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std::cin >> n;
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std::vector< std::list<int> > graph(INF);
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for (int i = 0; i < n; ++i) {
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int u = 0, w = 0;
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std::cin >> u >> w;
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graph[u].push_back(w);
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}
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dfs(graph, 0);
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return 0;
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}
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@ -1,26 +0,0 @@
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#include <iostream>
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using namespace std;
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int v = 4;
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void DFSUtil_(int graph[4][4], bool visited[], int s) {
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visited[s] = true;
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cout << s << " ";
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for (int i = 0; i < v; i++) {
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if (graph[s][i] == 1 && visited[i] == false) {
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DFSUtil_(graph, visited, i);
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}
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}
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}
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void DFS_(int graph[4][4], int s) {
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bool visited[v];
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memset(visited, 0, sizeof(visited));
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DFSUtil_(graph, visited, s);
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}
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int main() {
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int graph[4][4] = {{0, 1, 1, 0}, {0, 0, 1, 0}, {1, 0, 0, 1}, {0, 0, 0, 1}};
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cout << "DFS: ";
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DFS_(graph, 2);
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cout << endl;
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return 0;
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}
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@ -1,51 +0,0 @@
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#include <iostream>
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#include <list>
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#include <stack>
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#define WHITE 0
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#define GREY 1
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#define BLACK 2
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#define INF 99999
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using namespace std;
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int checked[999] = {WHITE};
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void dfs(const list<int> lista[], int start) {
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stack<int> stack;
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int checked[999] = {WHITE};
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stack.push(start);
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checked[start] = GREY;
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while (!stack.empty()) {
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int act = stack.top();
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stack.pop();
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if (checked[act] == GREY) {
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cout << act << ' ';
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for (auto it = lista[act].begin(); it != lista[act].end(); ++it) {
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stack.push(*it);
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if (checked[*it] != BLACK)
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checked[*it] = GREY;
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}
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checked[act] = BLACK; // nodo controllato
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}
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}
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}
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int main() {
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int u, w;
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int n;
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cin >> n;
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list<int> lista[INF];
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for (int i = 0; i < n; ++i) {
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cin >> u >> w;
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lista[u].push_back(w);
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}
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dfs(lista, 0);
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return 0;
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}
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