Big O notation is a mathematical notation that describes the performance or complexity of an algorithm, quantifying how its running time or space requirements grow as the input size increases. Understanding big O notation is essential for developers and software engineers to analyze and compare the efficiency of different algorithms, making it a fundamental concept in computer science and a crucial tool for optimizing software performance.
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