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What is Understanding Big-O Notation in Algorithms about?
This document discusses big-O notation, which is used to describe the asymptotic worst-case behavior of algorithms and functions as inputs grow arbitrarily large. It provides examples of determining the big-O notation of various functions and algorithms. The key notions covered are: 1. Big-O, big-Omega, and big-Theta notations and how they are used to classify functions based on growth rates. 2. Examples of finding the big-O, big-Omega, and big-Theta notations of polynomials, logarithmic functions, and c
- Author
- CC
- Language
- EN