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  

o(log n) explained big o notation big o big o notation explained log n o(log n) log n complexity log n time complexity log n time complexity example big o notation log n the secret to understanding olog n big o series big o mini series Join the Discord to talk to me and the rest of the community!
  / discord