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並前往https://www.linkedin.com/pulse/time-complexity-o1-always-faster-than-olog-n-zaid-khan

Time Complexity: Is O(1) always Faster than O(log n)? - LinkedIn

O (1) means the running time of an algorithm is independent of the input size and is bounded by a constant 'c'. Whereas, O(log n) means when ...

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