#Binary Search

Solve a variant of the House Robber IV problem (analogous to LeetCode 2560), framed in the context of server maintenance.

Solve the Koko Eating Bananas problem to find the minimum eating speed required. Input: piles of bananas, Output: minimum speed.

Solve the Split Array problem focusing on prefix sums, array partitioning, and efficient counting, typically resolved using a binary search on the answer approach.

Design and implement a Time-Based Key-Value Store using Binary Search. Discuss the time and space complexity of the proposed solution.

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).