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https://github.com/TheAlgorithms/C-Plus-Plus.git
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118 lines
4.1 KiB
C++
118 lines
4.1 KiB
C++
/**
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* @file
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* @brief prints the assigned colors
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* using [Graph Coloring](https://en.wikipedia.org/wiki/Graph_coloring) algorithm
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*
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* @details
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* In graph theory, graph coloring is a special case of graph labeling;
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* it is an assignment of labels traditionally called "colors" to elements of a graph subject to certain constraints.
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* In its simplest form, it is a way of coloring the vertices of a graph such that no two adjacent vertices are of the same color;
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* this is called a vertex coloring. Similarly, an edge coloring assigns
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* a color to each edge so that no two adjacent edges are of the same color,
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* and a face coloring of a planar graph assigns a color to each face or
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* region so that no two faces that share a boundary have the same color.
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*
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* @author [Anup Kumar Panwar](https://github.com/AnupKumarPanwar)
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* @author [David Leal](https://github.com/Panquesito7)
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*/
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#include <iostream>
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#include <array>
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#include <vector>
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/**
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* @namespace
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* @brief Backtracking algorithms
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*/
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namespace backtracking {
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/** A utility function to print solution
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* @tparam V number of vertices in the graph
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* @param color array of colors assigned to the nodes
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*/
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template <size_t V>
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void printSolution(const std::array <int, V>& color) {
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std::cout << "Following are the assigned colors" << std::endl;
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for (auto &col : color) {
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std::cout << col;
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}
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std::cout << std::endl;
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}
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/** A utility function to check if the current color assignment is safe for
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* vertex v
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* @tparam V number of vertices in the graph
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* @param v index of graph vertex to check
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* @param graph matrix of graph nonnectivity
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* @param color vector of colors assigned to the graph nodes/vertices
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* @param c color value to check for the node `v`
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* @returns `true` if the color is safe to be assigned to the node
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* @returns `false` if the color is not safe to be assigned to the node
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*/
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template <size_t V>
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bool isSafe(int v, const std::array<std::array <int, V>, V>& graph, const std::array <int, V>& color, int c) {
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for (int i = 0; i < V; i++) {
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if (graph[v][i] && c == color[i]) {
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return false;
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}
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}
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return true;
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}
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/** A recursive utility function to solve m coloring problem
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* @tparam V number of vertices in the graph
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* @param graph matrix of graph nonnectivity
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* @param m number of colors
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* @param [in,out] color description // used in,out to notify in documentation
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* that this parameter gets modified by the function
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* @param v index of graph vertex to check
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*/
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template <size_t V>
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void graphColoring(const std::array<std::array <int, V>, V>& graph, int m, std::array <int, V> color, int v) {
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// base case:
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// If all vertices are assigned a color then return true
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if (v == V) {
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backtracking::printSolution<V>(color);
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return;
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}
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// Consider this vertex v and try different colors
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for (int c = 1; c <= m; c++) {
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// Check if assignment of color c to v is fine
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if (backtracking::isSafe<V>(v, graph, color, c)) {
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color[v] = c;
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// recur to assign colors to rest of the vertices
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backtracking::graphColoring<V>(graph, m, color, v + 1);
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// If assigning color c doesn't lead to a solution then remove it
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color[v] = 0;
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}
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}
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}
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} // namespace backtracking
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/**
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* Main function
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*/
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int main() {
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// Create following graph and test whether it is 3 colorable
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// (3)---(2)
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// | / |
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// | / |
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// | / |
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// (0)---(1)
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const int V = 4; // number of vertices in the graph
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std::array <std::array <int, V>, V> graph = {
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std::array <int, V>({0, 1, 1, 1}),
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std::array <int, V>({1, 0, 1, 0}),
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std::array <int, V>({1, 1, 0, 1}),
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std::array <int, V>({1, 0, 1, 0})
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};
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int m = 3; // Number of colors
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std::array <int, V> color{};
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backtracking::graphColoring<V>(graph, m, color, 0);
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return 0;
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}
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