Data Structures and Algorithms in Java

This page contains a list of commonly used Data Structures and Algorithms in Java programming. Each Data Structure and Algorithm is explained with steps, implementation (source code), output, and explanation.

Data Structures and Algorithms are foundational concepts in computer science that play a pivotal role in the efficiency, performance, and manageability of software applications.

Data Structures in Java

Data Structure is a specialized format for organizing, processing, retrieving, and storing data. It provides a means to manage vast amounts of data efficiently, and large-scale datasets would be nearly unmanageable without robust data structures.

Stack Implementation in Java
Queue Implementation in Java
Priority Queue Implementation in Java
Deque Queue Implementation in Java
Linked List Implementation in Java
Doubly Linked List Implementation in Java
Circular Linked List Implementation in Java
Binary Tree Implementation in Java
Binary Search Tree Implementation in Java
AVL Tree Implementation in Java
Hash Table Implementation in Java

Algorithms in Java

An Algorithm is a step-by-step procedure or formula for solving a problem. It's a sequence of steps to perform to achieve a particular output. Algorithms can be represented as pseudocode or flowcharts, among other formats.

Bubble Sort Algorithm in Java
Selection Sort Algorithm in Java
Insertion Sort Algorithm in Java
Merge Sort Algorithm in Java
Quick Sort Algorithm in Java
Counting Sort Algorithm in Java
Radix Sort Algorithm in Java
Bucket Sort Algorithm in Java
Heap Sort Algorithm in Java
Shell Sort Algorithm in Java
Linear Search Algorithm in Java
Binary Search Algorithm in Java

Understanding the right data structure and algorithm to use for a given scenario can greatly improve the efficiency (in terms of runtime and memory usage) of software applications. This knowledge becomes especially vital when dealing with large datasets or when performance is a critical aspect of the application.