In the last post, we learned the basics of time complexity—from constant time O(1) to exponential O(2^n). Now, let’s take a step further. We’ll explore how to analyze more realistic code, simplify complex expressions, and understand space complexity—another crucial piece of the puzzle.
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Going Deeper with Time and Space Complexity
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In the last post, we learned the basics of time complexity—from constant time O(1) to exponential O(2^n). Now, let’s take a step further. We’ll explore how to analyze more realistic code, simplify complex expressions, and understand space complexity—another crucial piece of the puzzle.