Merge pull request #986 from fhlasek/fixgraph

fhlasek/fixgraph: refactor of graph/ to follow the linter style
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Ayaan Khan 2020-08-19 10:30:16 +05:30 committed by GitHub
commit dfe5bd7638
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8 changed files with 209 additions and 84 deletions

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@ -40,7 +40,8 @@ add_subdirectory(backtracking)
add_subdirectory(data_structures)
add_subdirectory(machine_learning)
add_subdirectory(numerical_methods)
add_subdirectory(graph)
cmake_policy(SET CMP0054 NEW)
cmake_policy(SET CMP0057 NEW)
find_package(Doxygen OPTIONAL_COMPONENTS dot dia)

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@ -71,6 +71,7 @@
* [Tree Height](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/dynamic_programming/tree_height.cpp)
## Geometry
* [Jarvis Algorithm](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/geometry/jarvis_algorithm.cpp)
* [Line Segment Intersection](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/geometry/line_segment_intersection.cpp)
## Graph
@ -79,10 +80,11 @@
* [Connected Components](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/connected_components.cpp)
* [Connected Components With Dsu](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/connected_components_with_dsu.cpp)
* [Cycle Check Directed Graph](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/cycle_check_directed_graph.cpp)
* [Dfs](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dfs.cpp)
* [Dfs With Stack](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dfs_with_stack.cpp)
* [Depth First Search](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/depth_first_search.cpp)
* [Depth First Search With Stack](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/depth_first_search_with_stack.cpp)
* [Dijkstra](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/dijkstra.cpp)
* [Hamiltons Cycle](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/hamiltons_cycle.cpp)
* [Is Graph Bipartite](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/is_graph_bipartite.cpp)
* [Kosaraju](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/kosaraju.cpp)
* [Kruskal](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/kruskal.cpp)
* [Lowest Common Ancestor](https://github.com/TheAlgorithms/C-Plus-Plus/blob/master/graph/lowest_common_ancestor.cpp)

20
graph/CMakeLists.txt Normal file
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@ -0,0 +1,20 @@
# If necessary, use the RELATIVE flag, otherwise each source file may be listed
# with full pathname. RELATIVE may makes it easier to extract an executable name
# automatically.
file( GLOB APP_SOURCES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp )
# file( GLOB APP_SOURCES ${CMAKE_SOURCE_DIR}/*.c )
# AUX_SOURCE_DIRECTORY(${CMAKE_CURRENT_SOURCE_DIR} APP_SOURCES)
foreach( testsourcefile ${APP_SOURCES} )
# I used a simple string replace, to cut off .cpp.
string( REPLACE ".cpp" "" testname ${testsourcefile} )
add_executable( ${testname} ${testsourcefile} )
set_target_properties(${testname} PROPERTIES
LINKER_LANGUAGE CXX
)
if(OpenMP_CXX_FOUND)
target_link_libraries(${testname} OpenMP::OpenMP_CXX)
endif()
install(TARGETS ${testname} DESTINATION "bin/graph")
endforeach( testsourcefile ${APP_SOURCES} )

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@ -53,7 +53,7 @@ using AdjList = std::map<unsigned int, std::vector<unsigned int>>;
*/
class Graph {
public:
Graph() : m_vertices(0), m_adjList({}) {}
Graph() : m_adjList({}) {}
~Graph() = default;
Graph(Graph&&) = default;
Graph& operator=(Graph&&) = default;
@ -65,8 +65,8 @@ class Graph {
* @param vertices specify the number of vertices the graph would contain.
* @param adjList is the adjacency list representation of graph.
*/
Graph(unsigned int vertices, AdjList const& adjList)
: m_vertices(vertices), m_adjList(adjList) {}
Graph(unsigned int vertices, AdjList adjList)
: m_vertices(vertices), m_adjList(std::move(adjList)) {}
/** Create a graph from vertices and adjacency list.
*
@ -142,7 +142,7 @@ class Graph {
}
private:
unsigned int m_vertices;
unsigned int m_vertices = 0;
AdjList m_adjList;
};

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@ -0,0 +1,133 @@
/**
*
* \file
* \brief [Depth First Search Algorithm
* (Depth First Search)](https://en.wikipedia.org/wiki/Depth-first_search)
*
* \author [Ayaan Khan](http://github.com/ayaankhan98)
*
* \details
* Depth First Search also quoted as DFS is a Graph Traversal Algorithm.
* Time Complexity O(|V| + |E|) where V is number of vertices and E
* is number of edges in graph.
*
* Application of Depth First Search are
*
* 1. Finding connected components
* 2. Finding 2-(edge or vertex)-connected components.
* 3. Finding 3-(edge or vertex)-connected components.
* 4. Finding the bridges of a graph.
* 5. Generating words in order to plot the limit set of a group.
* 6. Finding strongly connected components.
*
* And there are many more...
*
* <h4>Working</h4>
* 1. Mark all vertices as unvisited first
* 2. start exploring from some starting vertex.
*
* While exploring vertex we mark the vertex as visited
* and start exploring the vertices connected to this
* vertex in recursive way.
*
*/
#include <algorithm>
#include <iostream>
#include <vector>
/**
*
* \namespace graph
* \brief Graph Algorithms
*
*/
namespace graph {
/**
* \brief
* Adds and edge between two vertices of graph say u and v in this
* case.
*
* @param adj Adjacency list representation of graph
* @param u first vertex
* @param v second vertex
*
*/
void addEdge(std::vector<std::vector<size_t>> *adj, size_t u, size_t v) {
/*
*
* Here we are considering undirected graph that's the
* reason we are adding v to the adjacency list representation of u
* and also adding u to the adjacency list representation of v
*
*/
(*adj)[u - 1].push_back(v - 1);
(*adj)[v - 1].push_back(u - 1);
}
/**
*
* \brief
* Explores the given vertex, exploring a vertex means traversing
* over all the vertices which are connected to the vertex that is
* currently being explored.
*
* @param adj garph
* @param v vertex to be explored
* @param visited already visited vertices
*
*/
void explore(const std::vector<std::vector<size_t>> &adj, size_t v,
std::vector<bool> *visited) {
std::cout << v + 1 << " ";
(*visited)[v] = true;
for (auto x : adj[v]) {
if (!(*visited)[x]) {
explore(adj, x, visited);
}
}
}
/**
* \brief
* initiates depth first search algorithm.
*
* @param adj adjacency list of graph
* @param start vertex from where DFS starts traversing.
*
*/
void depth_first_search(const std::vector<std::vector<size_t>> &adj,
size_t start) {
size_t vertices = adj.size();
std::vector<bool> visited(vertices, false);
explore(adj, start, &visited);
}
} // namespace graph
/** Main function */
int main() {
size_t vertices = 0, edges = 0;
std::cout << "Enter the Vertices : ";
std::cin >> vertices;
std::cout << "Enter the Edges : ";
std::cin >> edges;
/// creating graph
std::vector<std::vector<size_t>> adj(vertices, std::vector<size_t>());
/// taking input for edges
std::cout << "Enter the vertices which have edges between them : "
<< std::endl;
while (edges--) {
size_t u = 0, v = 0;
std::cin >> u >> v;
graph::addEdge(&adj, u, v);
}
/// running depth first search over graph
graph::depth_first_search(adj, 2);
std::cout << std::endl;
return 0;
}

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@ -0,0 +1,46 @@
#include <iostream>
#include <list>
#include <vector>
#include <stack>
constexpr int WHITE = 0;
constexpr int GREY = 1;
constexpr int BLACK = 2;
constexpr int INF = 99999;
void dfs(const std::vector< std::list<int> > &graph, int start) {
std::vector<int> checked(graph.size(), WHITE);
checked[start] = GREY;
std::stack<int> stack;
stack.push(start);
while (!stack.empty()) {
int act = stack.top();
stack.pop();
if (checked[act] == GREY) {
std::cout << act << ' ';
for (auto it : graph[act]) {
stack.push(it);
if (checked[it] != BLACK) {
checked[it] = GREY;
}
}
checked[act] = BLACK; // nodo controllato
}
}
}
int main() {
int n = 0;
std::cin >> n;
std::vector< std::list<int> > graph(INF);
for (int i = 0; i < n; ++i) {
int u = 0, w = 0;
std::cin >> u >> w;
graph[u].push_back(w);
}
dfs(graph, 0);
return 0;
}

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@ -1,26 +0,0 @@
#include <iostream>
using namespace std;
int v = 4;
void DFSUtil_(int graph[4][4], bool visited[], int s) {
visited[s] = true;
cout << s << " ";
for (int i = 0; i < v; i++) {
if (graph[s][i] == 1 && visited[i] == false) {
DFSUtil_(graph, visited, i);
}
}
}
void DFS_(int graph[4][4], int s) {
bool visited[v];
memset(visited, 0, sizeof(visited));
DFSUtil_(graph, visited, s);
}
int main() {
int graph[4][4] = {{0, 1, 1, 0}, {0, 0, 1, 0}, {1, 0, 0, 1}, {0, 0, 0, 1}};
cout << "DFS: ";
DFS_(graph, 2);
cout << endl;
return 0;
}

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@ -1,51 +0,0 @@
#include <iostream>
#include <list>
#include <stack>
#define WHITE 0
#define GREY 1
#define BLACK 2
#define INF 99999
using namespace std;
int checked[999] = {WHITE};
void dfs(const list<int> lista[], int start) {
stack<int> stack;
int checked[999] = {WHITE};
stack.push(start);
checked[start] = GREY;
while (!stack.empty()) {
int act = stack.top();
stack.pop();
if (checked[act] == GREY) {
cout << act << ' ';
for (auto it = lista[act].begin(); it != lista[act].end(); ++it) {
stack.push(*it);
if (checked[*it] != BLACK)
checked[*it] = GREY;
}
checked[act] = BLACK; // nodo controllato
}
}
}
int main() {
int u, w;
int n;
cin >> n;
list<int> lista[INF];
for (int i = 0; i < n; ++i) {
cin >> u >> w;
lista[u].push_back(w);
}
dfs(lista, 0);
return 0;
}