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Space and time analysis of Insertion Sort-2
Space and time analysis of Insertion Sort-2
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admin
Duration:
22 mins
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Space and time analysis of Insertion Sort-1
Insertion sort: Big O-notation
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Why study DS and Algorithms?
1.1
Why study DS and Algorithms?
20 min
What are Data Structures?
2.1
What are Data Structures?
12 min
Arrays
3.1
One-dimensional array
17 min
3.2
Multi-dimensional array
31 min
Linked List
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
Stacks
5.1
Introduction to Stacks
12 min
5.2
Stack Operations: Push and Pop
5 min
Queues
6.1
Motivation: Why we need them?
8 min
6.2
Operations: Enqueue and Dequeue
5 min
Trees
7.1
Logical structure & implementation
12 min
7.2
Terminology & Traversals
18 min
Insertion Sort
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
Analyzing an algorithm
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
Big O, Theta, Omega notation
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
Merge Sort
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
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