Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!



= CONTENTS =
0:00 Introduction
1:00 Context and Relevant Background
1:32 What is Amortized Analysis?
2:35 Background of Example Used
4:58 METHOD 1: Aggegrate Method
8:24 METHOD 2: Accounting Method
12:27 METHOD 3: Potential Method
18:51 Summary



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