Dynamic Programming
Hard

Maximum Profit in Job Scheduling

Given n jobs where every job has a start time, end time, and profit, return the maximum profit wihout overlapping jobs.
Problem Understanding

We have jobs (start, end, profit). We want to pick a subset of non-overlapping jobs to maximize total profit.

Example:

  • Job 1: [1, 3], Profit 50
  • Job 2: [2, 4], Profit 10
  • Job 3: [3, 5], Profit 40
  • If we pick Job 1, we can't pick Job 2 (overlap). We CAN pick Job 3.
  • Total: 90.
Algorithm Strategy
  1. Sort jobs by End Time.
  2. Define dp[i] = Max profit using subset of first i jobs.
  3. For Job i (index i-1 in sorted list):
    • Include: Profit p[i] + dp[index of latest job ending <= start[i]].
    • Exclude: dp[i-1].
  4. dp[i] = max(Include, Exclude).
  5. Use Binary Search to efficiently find the "latest non-conflicting job".
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