Lecture 12 of DSA Series : Time & Space Complexity in Detail
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Time Stamps :
00:00 Introduction
00:23 Disclaimer
01:17 Why study these concepts?
02:23 Time Complexity
10:53 Big O Notation
16:14 Space Complexity
21:32 Common Time Complexities
23:15 Understanding O(1)
26:35 Understanding O(n)
29:06 Understanding O(n^2) & O(n^3)
34:40 Understanding O(logn)
39:39 O(nlogn)
40:46 O(2^n) & O(n!)
44:03 Solving for Prime Number
45:56 Solving for Selection Sort
48:59 Recursion (Time Complexity)
55:50 Recursion (Space Complexity)
59:28 Solving for Recursive Fibonacci
1:05:43 Solving for Merge Sort
1:16:41 Practical Usage

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