Analysis of Algorithms

Analysis of algorithms includes time and size complexities, notations such as Big O, Big Omega, Big Theta and case scenarios like Best Case, Worst Case and Expected Case.

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1.1 Introduction to Analysis of Algorithms | Big O

Big O can be described as a metric or language used to describe and compare efficiency of computer algorithms and data structures. Such notations are used to perform analysis of any computer algorithm.