“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.
Priority Queue implementation, efficient maximum/minimum retrieval.
Graphs
Representations: Adjacency Matrix, Adjacency List.
Types: Directed, Undirected, Weighted, Unweighted.
Algorithms: DFS, BFS, Dijkstra’s, Kruskal’s, Prim’s.
Tries
Prefix trees, efficient for string manipulations.