Binary Search - Leetcode Solution

As an AI language model, I do not have access to the specific problem you are referring to on LeetCode. However, I can provide a general explanation of the binary search algorithm and how it can be applied to solve problems.

Binary search is a searching algorithm that searches for a specific value in an ordered list, array or sequence by dividing the search range in half repeatedly until the value is found or the search range is empty. It is based on the divide and conquer strategy and is very efficient for large data sets.

The steps involved in implementing binary search are:

1. Determine the middle element of the sequence.

2. Compare the middle element with the target value.

3. If the middle element is equal to the target value, then the search is successful and its index is returned.

4. If the middle element is greater than the target value, then search the left sub-sequence.

5. If the middle element is less than the target value, then search the right sub-sequence.

6. Repeat steps 1-5 until either the target value is found or the sub-sequence is empty.

Binary search has a time complexity of O(log n), which is faster than linear search with a time complexity of O(n).

To solve a binary search problem on LeetCode, you will need to analyze the problem requirements, constraints, and examples. You will need to implement the binary search algorithm and customize it to the specific problem requirements. This may involve modifying the search range, handling edge cases, or keeping track of additional variables during the search.

In general, the binary search algorithm is a powerful tool for solving problems that involve searching for a specific value in a large data set. With a thorough understanding of the algorithm and its applications, you can solve many challenging problems on LeetCode and other coding platforms.

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