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Which of the following problems CANNOT be solved optimally using the greedy min-heap approach similar to the Minimum Cost to Connect Sticks problem?

easy🔍 Pattern Recognition Q2 of Q15
Greedy Algorithms - Minimum Cost to Connect Sticks
Which of the following problems CANNOT be solved optimally using the greedy min-heap approach similar to the Minimum Cost to Connect Sticks problem?
AScheduling tasks to minimize total weighted completion time where order affects cost
BMerging files with sizes to minimize total merge cost where cost is sum of merged files
CFinding the shortest path in a weighted graph with non-negative edges
DFinding the minimum cost to connect ropes with given lengths
Step-by-Step Solution
Solution:
  1. Step 1: Analyze problem types

    Minimum cost to connect sticks and merging files are classic greedy min-heap problems.
  2. Step 2: Identify non-greedy problem

    Scheduling tasks with weighted completion times requires more complex DP or greedy with sorting, not min-heap merges.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Scheduling with weighted completion time is not solved by min-heap merges [OK]
Quick Trick: Scheduling weighted tasks needs DP, not min-heap merges [OK]
Common Mistakes:
MISTAKES
  • Assuming all merge cost problems use min-heap
  • Confusing shortest path with merge cost
Trap Explanation:
PITFALL
  • Candidates often think all cost minimization problems with merges use min-heap, but scheduling weighted tasks is different.
Interviewer Note:
CONTEXT
  • Tests ability to distinguish greedy min-heap applicability from similar-sounding problems
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