#Binary Search

Given a binary matrix, identify the row that has the maximum number of 1s. The initial approach involves applying binary search on every row with a time complexity of O(m log n). An optimized solution starts from the top-right corner of the matrix. If the current value is 1, move left; if 0, move down. Keep track of the row whenever moving left. The final time complexity is O(m + n) and space complexity is O(1).

Solve DSA problems that utilize the sliding window technique and binary search. Focus on implementing algorithms using these strategies.

In a sorted array, determine the first and last index of a specified element. Your solution should be efficient, utilizing binary search where appropriate.

Implement a solution that uses Binary Search to efficiently find a target element in a sorted array. Ensure optimal runtime complexity.

Explain the concept of finding a peak element in an array, where an element is considered a peak if it is greater than or equal to its neighbors. Describe an efficient algorithm using binary search to achieve this.