Big O Notation Series #4: The Secret to Understanding O (log n)!
Non-recursive example:
• Big O Notation Series #10: Log n Comp...
Correction: There is a mistake in the return value of the logFunc() function. It should return a call to itself e.g. `return logFunc(n);` I have blurred out the mistake. Sorry for the confusion.
Big O Notation Series #3: In this video I will show you the secret to visualizing and understanding O(log n) or logarithmic complexity. After this video you should have a better understanding of how to diagnose algorithms with O(log n) or logarithmic complexity. The secret to understanding olog n.
More from this series: • Big O For Software Engineering
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