In algorithm analysis, we use asymptotic notation to describe the runtime of a program. There are three main types of asymptotic notation: Big Theta (Θ), Big Omega (Ω), and Big O (O). Purpose: ...

My Gitbook for learning data structures and algorithm - RakhithJK/icelam-data-structures-and-algorithms ...

Asymptotic notation can help you analyze the time and space complexity of algorithms, which are measures of how much time and memory an algorithm requires to solve a problem of a given size.

Big O notation is the most widely used type of asymptotic notation. It describes the upper bound or the worst-case scenario of an algorithm's growth rate. For example, if an algorithm has a ...

COMP 272 or an equivalent data-structures course. Knowledge and skills in Java, C/C++, or Python programming. Knowledge of high school ... COMP 372 introduces the fundamental techniques for designing ...

an appreciation and knowledge of asymptotic notation. Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures ...