Data Structures and Algorithms

This repository contains Java implementations of various data structures and algorithms. The codebase is organized as follows:

Data Structures

Arrays:

Implementation of array data structure with basic operations.

Linked Lists:

Implementation of singly linked lists, doubly linked lists, and circular linked lists.

Stacks:

Implementation of a stack data structure using arrays and linked lists.

Queues:

Implementation of queue data structure using arrays and linked lists, including priority queues.

Trees:

Implementation of binary trees, binary search trees, AVL trees, and more.

Graphs:

Implementation of graph data structure with graph traversal algorithms.

Algorithms

Brute Force:

Straightforward approach to problem-solving by considering all possible solutions and selecting the best one.

Divide and Conquer:

Breaking down a problem into smaller subproblems, solving them recursively, and combining their solutions to solve the original problem.

Decrease and Conquer:

Reducing a problem to a smaller instance of the same problem and solving it iteratively or recursively.

Transform and Conquer:

Transforming a problem into a different representation or form, which makes it easier to solve.

Greedy Technique:

Making locally optimal choices at each step with the hope of finding a global optimum solution.

Dynamic Programming:

Breaking a complex problem into simpler overlapping subproblems and solving each subproblem only once, storing its solution for future use.

Recursion:

Solving a problem by breaking it down into smaller instances of the same problem until a base case is reached.

Backtracking:

Systematically searching through all possible solutions to find the correct one.

Feel free to explore all the programs and any suggestions and feedback are appreciated. Enjoy your learning experience!