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This document provides a comprehensive understanding of Big O notation, a fundamental concept in algorithm design and analysis. It includes a formal definition of Big O, detailing how it quantifies the performance or complexity of an algorithm in relation to its input size. The content is designed for those studying computer science and aims to clarify the importance of asymptotic analysis in evaluating algorithm efficiency. Gain insights into the practical applications of Big O notation in algorithm design.
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