Lecture 7 - Theta Notation | DSA Basics For Beginners | Placement Course
Welcome to Lecture 7 - Theta Notation of our DSA Placement Course. In this lecture, we will get an understanding of the Time Complexities of Algorithms and how to implement them in coding.
What is Theta Notation in DSA?
Theta notation, represented by the Greek letter "theta" (Θ), is a notation used to describe the average performance of an algorithm. It's used to represent the average case complexity, or the average space and time complexity. Theta notation bounds a function from above and below, which is why it's used to represent exact asymptotic behavior. It's also considered to be the meeting point between Big O and Omega notations, which represent the worst-case and best-case performance of an algorithm, respectively.
What are the advantages of Theta Notation in DSA?
Theta notation has several advantages, including:
No need to worry about time units
Asymptotically tight bound on the running time
Running time is nailed to within a constant factor above and below
This Data Structures and Algorithms course is a part of our Data Structures and Algorithms playlist: • Video
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