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hard
DP

Maximum Profit in Job Scheduling

**Problem Statement:** Given the required input arguments, write an efficient algorithm to solve the **Maximum Profit in Job Scheduling** problem. Implement the required logic as specified by standard definitions for this classic algorithmic challenge. **Hint / Expected Approach:** Sort by end time + binary search + DP **Edge Cases to Consider:** - (1) No non-overlapping jobs - (2) All non-overlapping - (3) Single job

Examples

Example 1
Input: [1,2,3,3], [3,4,5,6], [50,10,40,70]
Output: 120
Explanation: Jobs 1+4: 50+70=120
Example 2
Input: [1,2,3,4,6], [3,5,10,6,9], [20,20,100,200,19]
Output: 220
Example 3
Input: [1,1,1], [2,3,4], [5,6,4]
Output: 6
Explanation: Best single job

Constraints

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

Watch Out For Edge Cases

  • ▪No non-overlapping jobs
  • ▪All non-overlapping
  • ▪Single job
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