Merge branch 'master' into is_graph_bipartite

This commit is contained in:
Filip Hlásek
2020-08-25 18:48:50 -07:00
21 changed files with 3002 additions and 279 deletions

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;
}

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@@ -4,77 +4,84 @@
#include <iostream>
#include <vector>
#include <stack>
using namespace std;
/**
* Iterative function/method to print graph:
* @param a[] : array of vectors (2D)
* @param V : vertices
* @param a adjacency list representation of the graph
* @param V number of vertices
* @return void
**/
void print(vector<int> a[], int V) {
void print(const std::vector< std::vector<int> > &a, int V) {
for (int i = 0; i < V; i++) {
if (!a[i].empty())
cout << "i=" << i << "-->";
for (int j = 0; j < a[i].size(); j++) cout << a[i][j] << " ";
if (!a[i].empty())
cout << endl;
if (!a[i].empty()) {
std::cout << "i=" << i << "-->";
}
for (int j : a[i]) {
std::cout << j << " ";
}
if (!a[i].empty()) {
std::cout << std::endl;
}
}
}
/**
* //Recursive function/method to push vertices into stack passed as parameter:
* @param v : vertices
* @param &st : stack passed by reference
* @param vis[] : array to keep track of visited nodes (boolean type)
* @param adj[] : array of vectors to represent graph
* @param v vertices
* @param st stack passed by reference
* @param vis array to keep track of visited nodes (boolean type)
* @param adj adjacency list representation of the graph
* @return void
**/
void push_vertex(int v, stack<int> &st, bool vis[], vector<int> adj[]) {
vis[v] = true;
void push_vertex(int v, std::stack<int> *st, std::vector<bool> *vis, const std::vector< std::vector<int> > &adj) {
(*vis)[v] = true;
for (auto i = adj[v].begin(); i != adj[v].end(); i++) {
if (vis[*i] == false)
if ((*vis)[*i] == false) {
push_vertex(*i, st, vis, adj);
}
}
st.push(v);
st->push(v);
}
/**
* //Recursive function/method to implement depth first traversal(dfs):
* @param v : vertices
* @param vis[] : array to keep track of visited nodes (boolean type)
* @param grev[] : graph with reversed edges
* @param v vertices
* @param vis array to keep track of visited nodes (boolean type)
* @param grev graph with reversed edges
* @return void
**/
void dfs(int v, bool vis[], vector<int> grev[]) {
vis[v] = true;
void dfs(int v, std::vector<bool> *vis, const std::vector< std::vector<int> > &grev) {
(*vis)[v] = true;
// cout<<v<<" ";
for (auto i = grev[v].begin(); i != grev[v].end(); i++) {
if (vis[*i] == false)
if ((*vis)[*i] == false) {
dfs(*i, vis, grev);
}
}
}
// function/method to implement Kosaraju's Algorithm:
/**
* Info about the method
* @param V : vertices in graph
* @param adj[] : array of vectors that represent a graph (adjacency list/array)
* @param V vertices in graph
* @param adj array of vectors that represent a graph (adjacency list/array)
* @return int ( 0, 1, 2..and so on, only unsigned values as either there can be
no SCCs i.e. none(0) or there will be x no. of SCCs (x>0)) i.e. it returns the
count of (number of) strongly connected components (SCCs) in the graph.
(variable 'count_scc' within function)
**/
int kosaraju(int V, vector<int> adj[]) {
bool vis[V] = {};
stack<int> st;
int kosaraju(int V, const std::vector< std::vector<int> > &adj) {
std::vector<bool> vis(V, false);
std::stack<int> st;
for (int v = 0; v < V; v++) {
if (vis[v] == false)
push_vertex(v, st, vis, adj);
if (vis[v] == false) {
push_vertex(v, &st, &vis, adj);
}
}
// making new graph (grev) with reverse edges as in adj[]:
vector<int> grev[V];
std::vector< std::vector<int> > grev(V);
for (int i = 0; i < V + 1; i++) {
for (auto j = adj[i].begin(); j != adj[i].end(); j++) {
grev[*j].push_back(i);
@@ -89,7 +96,7 @@ int kosaraju(int V, vector<int> adj[]) {
int t = st.top();
st.pop();
if (vis[t] == false) {
dfs(t, vis, grev);
dfs(t, &vis, grev);
count_scc++;
}
}
@@ -101,21 +108,21 @@ int kosaraju(int V, vector<int> adj[]) {
// All critical/corner cases have been taken care of.
// Input your required values: (not hardcoded)
int main() {
int t;
cin >> t;
int t = 0;
std::cin >> t;
while (t--) {
int a, b; // a->number of nodes, b->directed edges.
cin >> a >> b;
int m, n;
vector<int> adj[a + 1];
int a = 0, b = 0; // a->number of nodes, b->directed edges.
std::cin >> a >> b;
int m = 0, n = 0;
std::vector< std::vector<int> > adj(a + 1);
for (int i = 0; i < b; i++) // take total b inputs of 2 vertices each
// required to form an edge.
{
cin >> m >> n; // take input m,n denoting edge from m->n.
std::cin >> m >> n; // take input m,n denoting edge from m->n.
adj[m].push_back(n);
}
// pass number of nodes and adjacency array as parameters to function:
cout << kosaraju(a, adj) << endl;
std::cout << kosaraju(a, adj) << std::endl;
}
return 0;
}

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@@ -1,73 +1,21 @@
#include <iostream>
#include <vector>
#include <algorithm>
#include <array>
//#include <boost/multiprecision/cpp_int.hpp>
// using namespace boost::multiprecision;
const int mx = 1e6 + 5;
const long int inf = 2e9;
typedef long long ll;
#define rep(i, n) for (i = 0; i < n; i++)
#define repp(i, a, b) for (i = a; i <= b; i++)
#define pii pair<int, int>
#define vpii vector<pii>
#define vi vector<int>
#define vll vector<ll>
#define r(x) scanf("%d", &x)
#define rs(s) scanf("%s", s)
#define gc getchar_unlocked
#define pc putchar_unlocked
#define mp make_pair
#define pb push_back
#define lb lower_bound
#define ub upper_bound
#define endl "\n"
#define fast \
ios_base::sync_with_stdio(false); \
cin.tie(NULL); \
cout.tie(NULL);
using namespace std;
void in(int &x) {
register int c = gc();
x = 0;
int neg = 0;
for (; ((c < 48 || c > 57) && c != '-'); c = gc())
;
if (c == '-') {
neg = 1;
c = gc();
}
for (; c > 47 && c < 58; c = gc()) {
x = (x << 1) + (x << 3) + c - 48;
}
if (neg)
x = -x;
}
void out(int n) {
int N = n, rev, count = 0;
rev = N;
if (N == 0) {
pc('0');
return;
}
while ((rev % 10) == 0) {
count++;
rev /= 10;
}
rev = 0;
while (N != 0) {
rev = (rev << 3) + (rev << 1) + N % 10;
N /= 10;
}
while (rev != 0) {
pc(rev % 10 + '0');
rev /= 10;
}
while (count--) pc('0');
}
ll parent[mx], arr[mx], node, edge;
vector<pair<ll, pair<ll, ll>>> v;
using ll = int64_t;
std::array<ll, mx> parent;
ll node, edge;
std::vector<std::pair<ll, std::pair<ll, ll>>> edges;
void initial() {
int i;
rep(i, node + edge) parent[i] = i;
for (int i = 0; i < node + edge; ++i) {
parent[i] = i;
}
}
int root(int i) {
while (parent[i] != i) {
parent[i] = parent[parent[i]];
@@ -75,41 +23,42 @@ int root(int i) {
}
return i;
}
void join(int x, int y) {
int root_x = root(x); // Disjoint set union by rank
int root_y = root(y);
parent[root_x] = root_y;
}
ll kruskal() {
ll mincost = 0, i, x, y;
rep(i, edge) {
x = v[i].second.first;
y = v[i].second.second;
ll mincost = 0;
for (int i = 0; i < edge; ++i) {
ll x = edges[i].second.first;
ll y = edges[i].second.second;
if (root(x) != root(y)) {
mincost += v[i].first;
mincost += edges[i].first;
join(x, y);
}
}
return mincost;
}
int main() {
fast;
while (1) {
int i, j, from, to, cost, totalcost = 0;
cin >> node >> edge; // Enter the nodes and edges
if (node == 0 && edge == 0)
while (true) {
int from = 0, to = 0, cost = 0, totalcost = 0;
std::cin >> node >> edge; // Enter the nodes and edges
if (node == 0 && edge == 0) {
break; // Enter 0 0 to break out
}
initial(); // Initialise the parent array
rep(i, edge) {
cin >> from >> to >> cost;
v.pb(mp(cost, mp(from, to)));
for (int i = 0; i < edge; ++i) {
std::cin >> from >> to >> cost;
edges.emplace_back(make_pair(cost, std::make_pair(from, to)));
totalcost += cost;
}
sort(v.begin(), v.end());
// rep(i,v.size())
// cout<<v[i].first<<" ";
cout << kruskal() << endl;
v.clear();
sort(edges.begin(), edges.end());
std::cout << kruskal() << std::endl;
edges.clear();
}
return 0;
}