Logarithmic Complexity - O(log(n))
Explore logarithmic time complexity and understand how algorithms reduce their input size by half each iteration. Learn to analyze runtime differences as input grows, improving your grasp of algorithm efficiency using Big-O notation and practical examples in JavaScript.
We'll cover the following...
We'll cover the following...
If an algorithm has logarithmic time complexity, it means that the size of the input we are considering gets split into half ...