Grokking Algorithm Complexity and Big-O
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Understanding Space Complexity
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Just like time complexity helps us measure how fast an algorithm runs, space complexity measures how much memory an algorithm needs. This is important because efficient memory use can be as crucial as fast execution, especially when working with large data sets or memory-limited devices.

What is Space Complexity?

Space complexity is the total amount of memory an algorithm requires, including:

  1. Auxiliary Space: The temporary memory used by the algorithm to perform operations, excluding the input data and output spaces. 2

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Table of Contents

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