Data Structures and Algorithms

🏁 Array initializations & operations

SL	Cateogry	Program	Sources
🡇 Array 🡇
1		Array Initialization and print
2		Array Initilization - set values by index
3		Create array from user (dynamic memory allocation)
🡇 Array Operations 🡇
3		Traverse
4		Insertion - Shift from the right
5		Insertion - Shift from the left
6		Deletion - Sorted array
7		Deletion - Unsorted array
8		Deletion - based on user input
9		Update
🡇 Merge 🡇
10		Merge two arrays into one array
11		Merge two sorted arrays into one array (Iterative)
12		Merge two sorted arrays into one array (Recursive)
13		Merge two unsorted arrays into a sorted array
🡇 Reverse 🡇
14		Reverse (Iterative)
15		Reverse (Recursive)
16		Reverse (using STL)
🡇 Sort 🡇
16		Selection sort
17		Bubble sort
18		Merge sort
19		Merge sort (minimal - example 1)
20		Merge sort (minimal - example 2)
21		Merge sort (using dynamic memory allocation)
22		Quick sort - example 1
23		Quick sort - example 2
24		Insertion sort
25		Heap sort
26		Count sort
27		Radix sort
28		Bucket sort
29		Tree sort
30		Shell sort
31		Sort non-zero values first Move all zeros (0) to last
🡇 Search 🡇
32		Linear search
33		Binary search (Iterative)
34		Binary search (Recursive)
35		Jump search
36		Interpolation search
37		Exponential search
38		Searching - based on user input

🏁 Linked List

Singly Linked List	Doubly Linked List
Singly Circular Linked List	Doubly Circular Linked List

SL	Cateogry	Program	Sources
			Singly	Doubly	Singly-C	Doubly-C
1		Basic initialization
2	Insertion	Insertion
3		Insertion - based on user input
4		Insert node at the beginning
5		Insert node at the beginning - based on user input
6		Insert node to a specific position
7		Insert node to a specific position - based on user input
8	Deletion	Delete node from the specific position
9		Delete node from the specific position - based on user input
10		Delete node with a given value
11		Delete node with a given value - based on user input
12		Delete node at the beginning
13		Delete node at the end - based on user input
14		Delete node at the end
15		Delete node at the end - based on user input
16	Search	Linear Search
17		Linear Search - based on user input
18	Merge	Merge two lists
19		Merge two unsorted lists into a sorted list
20		Merge two sorted lists (Iterative)
21		Merge two sorted lists (Iterative - example 2).cpp
22		Merge two sorted lists (Recursive)
23		Merge two sorted lists (Recursive - example with the tail pointer)
24	Sort	Selection sort
25		Selection sort - swap entire node
26		Bubble sort
27		Bubble sort - swap entire node (example 1)
28		Bubble sort - swap entire node (example 2)
29	Reverese	Reverse (Iterative)
30		Reverse (Recursive)

🏁 Stack

SL	Cateogry	Program	Sources
▼ Stack ▼
1		Stack implementation using STL
2		Stack implementation using array
3		Stack implementation using linked list
▼ Infix - Prefix - Postfix ▼
4		Infix to Prefix
5		Infix to Prefix (without stack)
6		Infix to Postfix
7		Prefix to Infix
8		Prefix to Postfix
9		Prefix Evaluation
10		Prefix Evaluation (greater value)
11		Postfix to Infix
12		Postfix to Prefix
13		Postfix Evaluation
14		Postfix Evaluation (greater value)

🏁 Queue

Queue / Linear Queue	Circular Queue
Double Ended Queue (Deque)

SL	Cateogry	Program	Sources
▼ Queue ▼
1		Queue implementation using STL
2		Queue implementation using stack (STL)
3		Queue implementation using stack (array)
4		Linear Queue implementation using array
5		Linear Queue implementation using array with rearrange elements
6		Linear Queue implementation using linked list
7		Circular Queue implementation using array
8		Circular Queue implementation using linked list
▼ Deque (Double ended queue) ▼
9		Deque implementation using STL
10		Deque implementation using circular array
11		Deque implementation using doubly linked list

🏁 Tree

SL	Cateogry	Program	Sources
▼ Binary Tree ▼
1		Tree implementation using linked list
2		Tree implementation and traversal using linked list - based on user input
3		Tree Traversal Inorder - Preorder - Postorder
4		Tree Traversal Level Order
5		Tree Traversal Height Order
6		Construct binary tree from given Inorder and Preorder data
7		Construct binary tree from given Inorder and Postorder data
8		Construct binary tree from given Preorder and Postorder data (full binary tree)
▼ Binary Expression Tree ▼
9		Binary Expression Tree to Infix Expression
10		Construct Infix to Binary Expression Tree
11		Construct Prefix to Binary Expression Tree
12		Construct Postfix to Binary Expression Tree
13		Construct Binary Expression Tree manually and evaluate the result
▼ Binary Search Tree - BST ▼
14		BST - Insertion
15		BST - Insertion from array
16		BST - Minimum & Maximum value
17		BST - Search
18		BST - Deletion
19		Validate BST
▼ AVL Tree ▼
20		AVL Tree - Implementation & Insertion
21		AVL Tree - Deletion
▼ Splay Tree ▼
22		Splay Tree - Implementation & Insertion
23		Splay Tree - Search
24		Splay Tree - Deletion (top-down approach)
25		Splay Tree - Deletion (bottom-up approach)
▼ B Tree & B+ Tree ▼			B	B+
26		Implementation & Insertion & Traversal
27		Implementation & Insertion & Traversal - based on user input
28		Minimum & Maximum value
29		Search
30		Deletion

🏁 Graph

SL	Cateogry	Program	Sources
▼ Adjacency List ▼
1		Undirected Graph implementation using Adjacency List
2		Directed Graph implementation using Adjacency List
3		Weighted Graph implementation using Adjacency List
4		Graph implementation using Adjacency List - based on user input
5		Graph implementation using Adjacency List & Linked List - based on user input
▼ Adjacency Matrix ▼
6		Undirected Graph implementation using Adjacency Matrix
7		Directed Graph implementation using Adjacency Matrix
8		Weighted Graph implementation using Adjacency Matrix
9		Graph implementation using Adjacency Matrix - based on user input
10		Unsorted Graph implementation using Adjacency Matrix
11		Unsorted Graph implementation using Adjacency Matrix (Number of elements unspecified)
▼ Incidence Matrix ▼
12		Graph implementation using Incidence Matrix
13		Graph implementation using Incidence Matrix - based on user input
14		Unsorted Graph implementation using Incidence Matrix
15		Unsorted Graph implementation using Incidence Matrix (Number of elements and edges are unspecified)
▼ DFS ▼
16		Depth First Search (DFS)
17		DFS for Disconnected Components and Unreachable Vertices in Graph
18		DFS Edge Classification
19		DFS Cycle Detection for Undirected Graph
20		DFS Cycle Detection for Directed Graph
21		Topological Sort Using DFS
▼ BFS ▼
22		Breadth First Search (BFS)
23		BFS for Disconnected Components and Unreachable Vertices in Graph
24		BFS Cycle Detection for Undirected Graph
25		Topological Sort Using BFS (Kahn's Algroithm)
26		BFS Cycle Detection for Directed Graph
▼ Path ▼
27		Find the Shortest Path in Undirected Graph
28		Find the Shortest Path in Undirected Graph Using Dijkstra's Algorithm
29		Find the Shortest Path in Directed Acyclic Graph
30		Find the Shortest Path in Directed Acyclic Graph - (Weight taken automatically)
31		All Pairs Shortest Path | Floyd Warshall Algorithm - (Input Edges)
32		All Pairs Shortest Path | Floyd Warshall Algorithm - (Input Matrix)
33		Detect Nagetive Weight Cycle Using Bellmen Ford Algorithm - Adjacency List
34		Detect Nagetive Weight Cycle Using Bellmen Ford Algorithm - Edge List
35		Minimum Spanning Tree - MST (Prim's Algorithm)
36		Bridge (Cut Edges)
37		Articulation Point (Cut Vertices)
38		Strongly Connected Components using Kosaraju's Algorithm
▼ Disjoint Set ▼
39		Disjoint Set - (Union by rank)
40		Disjoint Set - (Union by size)
41		Disjoint Set - Cycle Detection
42		Disjoint Set - Minimum Spanning Tree

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