Assignment problem minimum cost
You are given an n x n cost matrix where cost[i][j] is the cost of assigning agent i to task j. Assign every agent to exactly one distinct task (a perfect matching) so the total cost is minimized, and return that minimum total cost. All costs are non-negative integers. Constraints: 1 <= n <= 8.
Implement
min_cost_assignment(cost: list[list[int]]) → intExamples
in
[[[1,2],[2,1]]]out2What a strong answer looks like
State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
0:00 of about 45 min
solution.py
InputExpectedGot
[[[1,2],[2,1]]]2not run yetsample