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One-dimensional array

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What are Data Structures?
Multi-dimensional array
1.1
Why study DS and Algorithms?

20 min
2.1
What are Data Structures?

12 min
4.1
Structure & memory organization
19 min
4.2
Code for node
4 min
4.3
Insertion
19 min
4.4
Deletion
13 min
4.5
Array vs Linked Lists
3 min
5.1
Introduction to Stacks
12 min
5.2
Stack Operations: Push and Pop
5 min
6.1
Motivation: Why we need them?
8 min
6.2
Operations: Enqueue and Dequeue
5 min
7.1
Logical structure & implementation
12 min
7.2
Terminology & Traversals
18 min
8.1
Satellite data and key
11 min
8.2
How it works: Card-sorting

20 min
8.3
Pseudo code

24 min
8.4
Correctness

6 min
8.5
In-place sorting

8 min
8.6
Stable sort

15 min
8.7
Online sorting

10 min
9.1
Model of computation

17 min
9.2
Space and time analysis of Insertion Sort-1

7 min
9.3
Space and time analysis of Insertion Sort-2

22 min
10.1
Insertion sort: Big O-notation

15 min
10.2
Notations: Big O

15 min
10.3
Notations: Big Omega, Theta

9 min
10.4
Notations: Small O, Omega, Theta

24 min
10.5
Relationships between various notations

21 min
10.6
Order of common functions & real world applications.

26 min
10.7
Why does asymptotic analysis matter in the real world?

16 min
11.1
Why learn another sorting algorithm?

6 min
11.2
How it works: Intuition

17 min
11.3
Pseudo Code

19 min
11.4
Merge sort: Analysing time & space complexity

21 min
11.5
Recursion tree method: intuition

13 min
11.6
External Merge-Sort

25 min