<link href="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/css/bootstrap.min.css" rel="stylesheet" id="bootstrap-css">
<script src="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/js/bootstrap.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
Data Structure and Algorithms in Java
"Data Structures and Algorithms in Java" is an essential topic for mastering efficient coding and problem-solving skills. Here’s an overview of the key concepts and structures you might encounter:
Basic Data Structures
Arrays
Fixed-size, contiguous memory.
Fast access but expensive resizing.
Linked Lists
Singly Linked List, Doubly Linked List, Circular Linked List.
Dynamic size, efficient insertions/deletions.
Stacks
Last In, First Out (LIFO).
Useful for recursive algorithms, undo mechanisms.
Queues
First In, First Out (FIFO).
Useful for scheduling, breadth-first search.
Hash Tables
Key-value pairs, fast lookups.
Handling collisions via chaining or open addressing.
Advanced Data Structures
Trees
Binary Tree, Binary Search Tree (BST), AVL Tree, Red-Black Tree.
Hierarchical structure, efficient search/insert/delete.
Heaps
Binary Heap, Min-Heap, Max-Heap.
