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The document discusses asymptotic analysis in algorithm analysis, focusing on the growth rate of running time as a function of input size, n. It introduces big-Oh notation to characterize running times, providing examples and justifications for various functions, and emphasizes the importance of expressing functions in simplest terms. Additionally, it covers related notations such as big-Omega and big-Theta for describing functions
- Author
- Abdullah Kawa
- Language
- EN