Big O Cheat Sheet . Big O Notation Cheat Sheet Here are key takeaways to remember: Always consider the scale: For small inputs, even O(n²) algorithms might be fine \Our lower bound shows." f > cg for large enough n ( x) - equal to Big Theta
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This is an asymptotic notation that lets you express the performance of algorithms or the complexity of algorithms based on the input O(log n) - Logarithmic Time: Operations that decrease their time complexity as the input size grows
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