Understanding the Space Complexity of an Algorithm

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1.Priori vs. Posterior Analysis:
Priori analysis estimates time and memory space before executing an algorithm.
Posterior analysis calculates these after execution.
We focus on priori analysis for simplicity.
2.Space Complexity Components:
Ignore space for source code and simple variables (constants).
Consider space for data structures used (e.g., lists).
Not applicable here: stack space for recursive algorithms.
3.Example Algorithm: Sum of N Elements:
Non-recursive, iterative algorithm.
Data structure: list with N elements.
Space complexity: O(N) due to list size.
Remember, space complexity matters when optimizing memory usage! 🚀

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