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Exponential Complexity - O(2^n)

Understand how exponential time complexity O(2^n) affects algorithm runtime and efficiency. Learn to interpret Big-O notation for algorithms that double their possibilities with each input increase, and recognize the practical inefficiency of such growth in real scenarios.

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If an algorithm’s time complexity is O(2^n), its runtime is doubled after every addition to the input size. If 5 items took 30 seconds, 6 ...