The "Red_Black_Tree" project is a C++ implementation of the Red-Black Tree data structure. Red-Black Tree is a type of self-balancing binary search tree, where each node is colored red or black to ensure that the tree remains balanced during insertions and deletions. The Red-Black Tree provides efficient operations for insertion, deletion, and search, with guaranteed logarithmic time complexity.
The Red_Black_Tree implementation provides the following features:
- Insertion: Efficient insertion of new elements while maintaining the Red-Black Tree properties.
- Deletion: Proper handling of element deletion, ensuring the tree remains balanced.
- Searching: Fast search operation to find elements in the tree.
- Balancing: Automatic balancing of the tree during insertions and deletions to keep it self-balanced.
To compile the "Red_Black_Tree" project, follow these steps:
- Clone the project repository to your local machine.
- Navigate to the project directory.
- Compile the code using
c++
with the flags-Wall -Wextra -Werror
.
g++ -Wall -Wextra -Werror main.cpp RedBlackTree.hpp -o red_black_tree
To use the "Red_Black_Tree" in your C++ projects, follow these steps:
-
Download the "RedBlackTree.hpp" header file and place it in your project directory.
-
Include the "RedBlackTree.hpp" header in your C++ source file where you want to use the Red-Black Tree.
-
Create an instance of the
ft::RedBlackTree
class with the desired data type. The Red-Black Tree is implemented as a template class, allowing you to store any data type in the tree.#include "RedBlackTree.hpp" int main() { // Create a Red-Black Tree to store integers ft::RedBlackTree<int> rbt; // Insert elements into the tree rbt.insert(10); rbt.insert(5); rbt.insert(20); // Search for an element in the tree if (rbt.search(5)) { std::cout << "Element 5 found in the tree." << std::endl; } else { std::cout << "Element 5 not found in the tree." << std::endl; } // Delete an element from the tree rbt.remove(10); return 0; }