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Which algorithmic pattern best fits this problem?

easy🔍 Pattern Recognition Q1 of Q15
Greedy Algorithms - Two City Scheduling
You have 2n candidates and must assign exactly n to city A and n to city B to minimize total travel cost. Each candidate has a different cost for each city. Which algorithmic pattern best fits this problem?
ADynamic programming with subset sums to balance assignments
BGraph maximum flow to find minimum cost matching
CGreedy approach sorting by cost difference between cities
DBacktracking all possible assignments to find minimum cost
Step-by-Step Solution
Solution:
  1. Step 1: Identify problem constraints

    Must assign exactly n people to each city minimizing total cost, costs differ per person and city.
  2. Step 2: Recognize pattern

    Sorting by cost difference and assigning first n to city A and rest to city B is a classic greedy pattern for balanced assignment problems.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Greedy sorting by cost difference fits perfectly [OK]
Quick Trick: Sort by cost difference to assign optimally [OK]
Common Mistakes:
MISTAKES
  • Thinking DP is needed for balanced assignment
  • Confusing with max flow problems
  • Trying brute force without pruning
Trap Explanation:
PITFALL
  • Many candidates jump to DP or graph algorithms, missing the greedy insight.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to recognize greedy pattern from problem description
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