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Binary Search

Split Array Largest Sum

**Problem Statement:** Given the required input arguments, write an efficient algorithm to solve the **Split Array Largest Sum** problem. Implement the required logic as specified by standard definitions for this classic algorithmic challenge. **Hint / Expected Approach:** Binary search on answer + greedy split check **Edge Cases to Consider:** - (1) k = 1 - (2) k = n - (3) All equal elements

Examples

Example 1
Input: [7,2,5,10,8], 2
Output: 18
Explanation: [7,2,5],[10,8] → max=18
Example 2
Input: [1,2,3,4,5], 2
Output: 9
Explanation: [1,2,3],[4,5] or [1,2,3,4],[5] → max(6,9)=9 → `9`
Example 3
Input: [1,4,4], 3
Output: 4
Explanation: Each alone

Constraints

  • ▪Input arguments are within valid ranges
  • ▪Optimize for execution speed
  • ▪Handle null/empty inputs gracefully

Watch Out For Edge Cases

  • ▪k = 1
  • ▪k = n
  • ▪All equal elements
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