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Algorithms and Asymptotic Notation, Lecture notes of Design and Analysis of Algorithms
An introduction to algorithms and asymptotic notation. It explains the concept of algorithmic complexity and provides examples of tasks such as assigning, comparing, and incrementing. It also covers the rules for simplifying algorithms and provides a flow chart for finding the maximum among two numbers. The document introduces the concept of asymptotic notation and its use in measuring the total time taken for completion of a task. It also covers the concept of theta bound and provides examples of sequences. useful for students studying computer science and related fields.
Typology: Lecture notes
2021/2022
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