In this video, we will learn how to solve the lower bound problem using a modified version of the binary search algorithm. We’ll start by understanding what a lower bound is and why the standard binary search approach is not sufficient for this problem.
Then, we’ll introduce a simpler and more intuitive variation of binary search, where we store a potential answer and continue searching on the left side to find the first position where the element is greater than or equal to the target.
Through multiple step-by-step examples, you’ll clearly see how the algorithm works for different cases, including when the target is present, when it is not present, and when it is greater than all elements in the list.
We’ll also compare this approach with another version of solving the lower bound problem and highlight the key differences. Finally, we’ll walk through the code implementation and discuss important details like initialization, stopping conditions, and edge cases.
This video is perfect for anyone looking to strengthen their understanding of binary search and its variations.
