Welcome to the Data Structure and Algorithm Implementations repository in C and C++. This GitHub repository is a comprehensive collection of essential data structures and algorithm implementations, designed to enhance your understanding and proficiency in C and C++ programming. From Binary Search Trees (BST) and Singly and Doubly Linked Lists to ArrayList, Depth-First Search (DFS), and Stack, each component exemplifies the efficiency and power of data structures and algorithms in various computational tasks.
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Binary Search Trees (BST)
The BST is a classic data structure that allows for efficient search, insertion, and deletion operations. This implementation provides an organized binary tree with fast lookup capabilities, making it ideal for various applications, including searching, sorting, and data organization.
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Singly Linked List
The Singly Linked List is a fundamental linear data structure where each element (node) points to the next one in the list. This implementation demonstrates how to efficiently manipulate and traverse the list, offering advantages like dynamic memory allocation and flexible data storage.
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Doubly Linked List
The Doubly Linked List enhances the Singly Linked List by providing each node with two pointers, one pointing to the next node and the other to the previous node. This implementation illustrates the versatility of doubly linked lists, allowing for efficient insertion and deletion operations in both directions.
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ArrayList
The ArrayList is a dynamic array implementation, providing the convenience of automatic resizing as elements are added or removed. This efficient array-based data structure allows for quick random access and modification of elements, making it well-suited for scenarios where the size of the dataset may vary dynamically.
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Depth-First Search (DFS)
Depth-First Search is a fundamental graph traversal algorithm used to explore all vertices of a graph by visiting as far as possible along each branch before backtracking. This implementation showcases how DFS can be applied to various graph-related problems, such as finding connected components and detecting cycles.
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Stack
The Stack is a crucial abstract data type that follows the Last-In-First-Out (LIFO) principle, where elements are added and removed from the same end. This implementation demonstrates how to perform stack operations efficiently, making it valuable for solving problems that require tracking state or implementing recursive algorithms iteratively.
Each data structure and algorithm implementation is organized into separate directories, containing well-commented C and C++ source code along with examples and usage instructions. Users can clone or download the repository to their local machine and compile the source code using a C/C++ compiler of their choice. Additionally, the repository provides comprehensive documentation for each component, aiding users in understanding the underlying principles and functionalities.
While the implementations are diligently designed, they are primarily intended for educational purposes. Authors and contributors are not liable for any consequences resulting from the direct use of these implementations in critical or production environments. Users are advised to thoroughly comprehend the data structures and algorithms before applying them in real-world scenarios.