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Merge pull request #1376 from yashksaini-coder/yash/fix-1335
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fix: 🐛 Add Graph-coloring algorithm
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pankaj-bind authored Oct 29, 2024
2 parents 0633934 + 6c62a82 commit c7d5459
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158 changes: 158 additions & 0 deletions Graph Algorithms/Graph-coloring/README.md
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### C Code: Graph Coloring using Greedy Algorithm

```c
#include <stdio.h>
#include <stdbool.h>

#define V 4

// Function to check if the color assignment is valid for the given vertex
bool isSafe(int v, int graph[V][V], int color[], int c) {
for (int i = 0; i < V; i++)
if (graph[v][i] && color[i] == c)
return false;
return true;
}

// Recursive function to assign colors to vertices
bool graphColoringUtil(int graph[V][V], int m, int color[], int v) {
if (v == V)
return true;

for (int c = 1; c <= m; c++) {
if (isSafe(v, graph, color, c)) {
color[v] = c;

if (graphColoringUtil(graph, m, color, v + 1))
return true;

color[v] = 0;
}
}

return false;
}

// Main function to solve the m-coloring problem
bool graphColoring(int graph[V][V], int m) {
int color[V] = {0};

if (!graphColoringUtil(graph, m, color, 0)) {
printf("Solution does not exist\n");
return false;
}

printf("Solution exists with the following color assignment:\n");
for (int i = 0; i < V; i++)
printf("Vertex %d ---> Color %d\n", i, color[i]);

return true;
}

int main() {
int graph[V][V] = {
{0, 1, 1, 1},
{1, 0, 1, 0},
{1, 1, 0, 1},
{1, 0, 1, 0}
};

int m = 3;
graphColoring(graph, m);

return 0;
}
```
---
### README Document for Graph Coloring Algorithm
---
# Graph Coloring Algorithm in C
This project demonstrates the Graph Coloring algorithm using a greedy approach implemented in C. The algorithm tries to color the vertices of a graph such that no two adjacent vertices share the same color.
## Table of Contents
- [Description](#description)
- [Algorithm](#algorithm)
- [Usage](#usage)
- [Example](#example)
- [Limitations](#limitations)
## Description
Graph coloring is a way of coloring the vertices of a graph such that no two adjacent vertices have the same color. This problem is widely used in scheduling, register allocation in compilers, and many other optimization areas.
### Problem Statement
Given a graph represented by an adjacency matrix, and an integer `m` representing the number of colors, assign a color to each vertex such that:
- No two adjacent vertices have the same color.
- The solution uses at most `m` colors.
### Solution Approach
This implementation uses a backtracking approach:
1. **Color Assignment**: It attempts to color each vertex starting from vertex 0.
2. **Backtracking**: If the current color assignment leads to a conflict, it backtracks and tries another color.
3. **Stopping Condition**: The algorithm stops if all vertices are successfully colored or if no solution exists.
## Usage
### Requirements
- C compiler (like GCC).
### Running the Program
1. **Compile** the code using the following command:
```bash
gcc graph_coloring.c -o graph_coloring
```
2. **Execute** the program:
```bash
./graph_coloring
```

The program will output a possible coloring for the graph if a solution exists with the given number of colors, or it will indicate that no solution is possible.

### Code Structure

- **isSafe**: Checks if it’s safe to color a vertex with a particular color.
- **graphColoringUtil**: Tries to color each vertex and recursively backtracks if needed.
- **graphColoring**: The main function that initializes color assignments and starts the recursive coloring.

## Example

Using the adjacency matrix:
```
graph[V][V] = {
{0, 1, 1, 1},
{1, 0, 1, 0},
{1, 1, 0, 1},
{1, 0, 1, 0}
};
```

With `m = 3` colors, a possible output is:
```
Solution exists with the following color assignment:
Vertex 0 ---> Color 1
Vertex 1 ---> Color 2
Vertex 2 ---> Color 3
Vertex 3 ---> Color 1
```

This result assigns colors such that no two adjacent vertices share the same color.

## Limitations

- This approach is not efficient for large graphs, as it uses a backtracking technique that has exponential time complexity in the worst case.
- The solution may not be optimal for large and complex graphs.

---

### Notes

- Adjust the adjacency matrix and `m` (number of colors) as needed to test different graphs.
- This code can be modified to use a non-greedy approach for graphs where a minimal coloring is essential.
65 changes: 65 additions & 0 deletions Graph Algorithms/Graph-coloring/program.c
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#include <stdio.h>
#include <stdbool.h>

#define V 4 // Number of vertices in the graph

// Function to check if the color assignment is valid for the given vertex
bool isSafe(int v, int graph[V][V], int color[], int c) {
for (int i = 0; i < V; i++)
if (graph[v][i] && color[i] == c) // Check if adjacent vertices have the same color
return false;
return true;
}

// Recursive function to assign colors to vertices
bool graphColoringUtil(int graph[V][V], int m, int color[], int v) {
if (v == V) // All vertices are assigned a color
return true;

for (int c = 1; c <= m; c++) {
if (isSafe(v, graph, color, c)) {
color[v] = c;

// Recur to assign colors to the rest of the vertices
if (graphColoringUtil(graph, m, color, v + 1))
return true;

color[v] = 0; // Backtrack
}
}

return false;
}

// Main function to solve the m-coloring problem
bool graphColoring(int graph[V][V], int m) {
int color[V] = {0}; // Initialize all vertices as unassigned (0)

if (!graphColoringUtil(graph, m, color, 0)) {
printf("Solution does not exist\n");
return false;
}

// Print the color assignment
printf("Solution exists with the following color assignment:\n");
for (int i = 0; i < V; i++)
printf("Vertex %d ---> Color %d\n", i, color[i]);

return true;
}

// Main function
int main() {
// Example adjacency matrix for a graph
int graph[V][V] = {
{0, 1, 1, 1},
{1, 0, 1, 0},
{1, 1, 0, 1},
{1, 0, 1, 0}
};

int m = 3; // Number of colors
graphColoring(graph, m);

return 0;
}

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