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Big O Notation

Introduction to Big O Notation​

Big O notation is a way to describe the efficiency of algorithms. It helps us understand how the performance of an algorithm scales with the size of the input.

Why Big O Notation?​

Understanding Big O notation allows us to:

  • Compare the efficiency of different algorithms.
  • Predict how an algorithm will perform as the input size grows.
  • Make informed decisions about which algorithm to use in a given situation.

What is Big O Notation?​

Big O notation describes the upper bound of an algorithm's running time or space requirements in the worst-case scenario.

In later chapters, we will explore different types of Big O notation and how to calculate them.