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docs: add documentation in kruskals_minimum_spanning_tree.cpp
(#2482)
* docs: add documentation in `kruskals_minimum_spanning_tree.cpp`
* clang-format and clang-tidy fixes for 4e234390
* chore: remove myself as an author
* chore: `std::endl` -> `\n`
---------
Co-authored-by: github-actions[bot] <github-actions@users.noreply.github.com>
Co-authored-by: realstealthninja <68815218+realstealthninja@users.noreply.github.com>
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@ -1,9 +1,42 @@
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#include <array>
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/**
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#include <iostream>
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* @file
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* @brief [Kruskals Minimum Spanning
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* Tree](https://www.simplilearn.com/tutorials/data-structure-tutorial/kruskal-algorithm)
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* implementation
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*
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* @details
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* _Quoted from
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* [Simplilearn](https://www.simplilearn.com/tutorials/data-structure-tutorial/kruskal-algorithm)._
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*
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* Kruskal’s algorithm is the concept that is introduced in the graph theory of
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* discrete mathematics. It is used to discover the shortest path between two
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* points in a connected weighted graph. This algorithm converts a given graph
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* into the forest, considering each node as a separate tree. These trees can
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* only link to each other if the edge connecting them has a low value and
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* doesn’t generate a cycle in MST structure.
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*
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* @author [coleman2246](https://github.com/coleman2246)
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*/
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void findMinimumEdge(int INFINITY, std::array<std::array<int, 6>, 6> graph) {
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#include <array> /// for array
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#include <iostream> /// for IO operations
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/**
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* @namespace
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* @brief Greedy Algorithms
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*/
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namespace greedy_algorithms {
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/**
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* @brief Finds the minimum edge of the given graph.
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* @param infinity Defines the infinity of the graph
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* @param graph The graph that will be used to find the edge
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* @returns void
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*/
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template <typename T>
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void findMinimumEdge(const int &infinity,
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const std::array<std::array<T, 6>, 6> &graph) {
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for (int i = 0; i < graph.size(); i++) {
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for (int i = 0; i < graph.size(); i++) {
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int min = INFINITY;
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int min = infinity;
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int minIndex = 0;
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int minIndex = 0;
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for (int j = 0; j < graph.size(); j++) {
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for (int j = 0; j < graph.size(); j++) {
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if (graph[i][j] != 0 && graph[i][j] < min) {
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if (graph[i][j] != 0 && graph[i][j] < min) {
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@ -12,10 +45,15 @@ void findMinimumEdge(int INFINITY, std::array<std::array<int, 6>, 6> graph) {
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}
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}
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}
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}
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std::cout << i << " - " << minIndex << "\t" << graph[i][minIndex]
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std::cout << i << " - " << minIndex << "\t" << graph[i][minIndex]
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<< std::endl;
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<< "\n";
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}
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}
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}
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}
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} // namespace greedy_algorithms
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/**
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* @brief Main function
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* @returns 0 on exit
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*/
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int main() {
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int main() {
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constexpr int INFINITY = 99999;
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constexpr int INFINITY = 99999;
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std::array<std::array<int, 6>, 6> graph{
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std::array<std::array<int, 6>, 6> graph{
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@ -26,6 +64,6 @@ int main() {
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INFINITY, 3, 1, 5, 0, INFINITY,
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INFINITY, 3, 1, 5, 0, INFINITY,
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INFINITY, INFINITY, INFINITY, 7, INFINITY, 0};
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INFINITY, INFINITY, INFINITY, 7, INFINITY, 0};
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findMinimumEdge(INFINITY, graph);
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greedy_algorithms::findMinimumEdge(INFINITY, graph);
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return 0;
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return 0;
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}
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}
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