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Consider the following Python code that computes the minimum cost to connect sticks using a min-heap. What is the value of total_cost returned when the input is [1, 8, 3, 5]?

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Greedy Algorithms - Minimum Cost to Connect Sticks
Consider the following Python code that computes the minimum cost to connect sticks using a min-heap. What is the value of total_cost returned when the input is [1, 8, 3, 5]?
A30
B36
C33
D29
Step-by-Step Solution
Solution:
  1. Step 1: Trace initial heap and first merge

    Heapify sticks: [1,3,5,8]. Pop 1 and 3 -> cost=4, total_cost=4. Push 4 back -> heap: [4,5,8]
  2. Step 2: Trace second and third merges

    Pop 4 and 5 -> cost=9, total_cost=13. Push 9 -> heap: [8,9]. Pop 8 and 9 -> cost=17, total_cost=30. Push 17 -> heap: [17]. Loop ends.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Sum of merges: 4 + 9 + 17 = 30 [OK]
Quick Trick: Sum merges stepwise using min-heap pops [OK]
Common Mistakes:
MISTAKES
  • Adding costs incorrectly or missing last merge
  • Confusing heap order or popping wrong elements
  • Off-by-one in loop iterations
Trap Explanation:
PITFALL
  • Candidates often miscalculate intermediate sums or forget to add all merge costs, leading to off-by-one errors.
Interviewer Note:
CONTEXT
  • Tests ability to mentally execute heap-based greedy code and track cumulative cost.
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