Mastering Algorithm Time Complexity & Asymptotic Notations π
Learn how to analyze algorithm efficiency with animated explanations of Big O, Theta, and Omega notations. Boost your understanding of how input size affects computing time!
Codearchery
114.2K views β’ Aug 6, 2020
About this video
Time complexity is, the relation of computing time and the amount of input.
The commonly used asymptotic notations used for calculating the running time complexity of an algorithm are:
Big oh Notation (Ξ)
Omega Notation (Ξ©)
Theta Notation (ΞΈ)
##### TIME COMPLEXITY SERIES #######
1. Time Complexity and Asymptotic Notation : https://youtu.be/bxgTDN9c6rg
2. Logs and Summations for Time Complexity : https://youtu.be/WrsZX7ue2n0
3. Rules of Asymptotic Notations : https://youtu.be/NNxfSOtOd04
4. Problems on Asymptotic Notations : https://youtu.be/8K4CKGMjoS4
5. Time Complexity of Insertion, Bubble and Selection Sort : https://youtu.be/peLS-S23TvE
Facebook: https://www.facebook.com/Codearchery
The commonly used asymptotic notations used for calculating the running time complexity of an algorithm are:
Big oh Notation (Ξ)
Omega Notation (Ξ©)
Theta Notation (ΞΈ)
##### TIME COMPLEXITY SERIES #######
1. Time Complexity and Asymptotic Notation : https://youtu.be/bxgTDN9c6rg
2. Logs and Summations for Time Complexity : https://youtu.be/WrsZX7ue2n0
3. Rules of Asymptotic Notations : https://youtu.be/NNxfSOtOd04
4. Problems on Asymptotic Notations : https://youtu.be/8K4CKGMjoS4
5. Time Complexity of Insertion, Bubble and Selection Sort : https://youtu.be/peLS-S23TvE
Facebook: https://www.facebook.com/Codearchery
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Views
114.2K
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Duration
11:21
Published
Aug 6, 2020
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