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What is Understanding Asymptotic Notation about?
This document introduces asymptotic notation, which is used to classify algorithms according to their rate of growth. It defines Big-O, Big-Omega, and Big-Theta notation and provides examples of determining the asymptotic running time of functions. Common rates of growth are discussed, including constant, linear, logarithmic, n log n, quadratic, polynomial and exponential time. Asymptotic notation allows algorithms to be compared based on how their running time grows relative to the input size n.
- Author
- Miguel Angel Piñon
- Language
- EN