/**
* @file
* @brief [Kruskals Minimum Spanning
* Tree](https://www.simplilearn.com/tutorials/data-structure-tutorial/kruskal-algorithm)
* implementation
*
* @details
* _Quoted from
* [Simplilearn](https://www.simplilearn.com/tutorials/data-structure-tutorial/kruskal-algorithm)._
*
* Kruskal’s algorithm is the concept that is introduced in the graph theory of
* discrete mathematics. It is used to discover the shortest path between two
* points in a connected weighted graph. This algorithm converts a given graph
* into the forest, considering each node as a separate tree. These trees can
* only link to each other if the edge connecting them has a low value and
* doesn’t generate a cycle in MST structure.
*
* @author [coleman2246](https://github.com/coleman2246)
*/
#include <array> /// for array
#include <iostream> /// for IO operations
/**
* @namespace
* @brief Greedy Algorithms
*/
namespace greedy_algorithms {
/**
* @brief Finds the minimum edge of the given graph.
* @param infinity Defines the infinity of the graph
* @param graph The graph that will be used to find the edge
* @returns void
*/
template <typename T>
void findMinimumEdge(const int &infinity,
const std::array<std::array<T, 6>, 6> &graph) {
for (int i = 0; i < graph.size(); i++) {
int min = infinity;
int minIndex = 0;
for (int j = 0; j < graph.size(); j++) {
if (graph[i][j] != 0 && graph[i][j] < min) {
min = graph[i][j];
minIndex = j;
}
}
std::cout << i << " - " << minIndex << "\t" << graph[i][minIndex]
<< "\n";
}
}
} // namespace greedy_algorithms
/**
* @brief Main function
* @returns 0 on exit
*/
int main() {
constexpr int INFINITY = 99999;
std::array<std::array<int, 6>, 6> graph{
0, 4, 1, 4, INFINITY, INFINITY,
4, 0, 3, 8, 3, INFINITY,
1, 3, 0, INFINITY, 1, INFINITY,
4, 8, INFINITY, 0, 5, 7,
INFINITY, 3, 1, 5, 0, INFINITY,
INFINITY, INFINITY, INFINITY, 7, INFINITY, 0};
greedy_algorithms::findMinimumEdge(INFINITY, graph);
return 0;
}