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Which approach fundamentally changes compared to the original problem?

hard🎤 Interviewer Follow-up Q10 of Q15
Greedy Algorithms - Reorganize String (No Two Adjacent Same)
Suppose the problem is extended so that characters can be reused unlimited times (infinite supply), and you want to generate the lexicographically smallest string of length n with no two adjacent characters the same. Which approach fundamentally changes compared to the original problem?
AUse dynamic programming to count valid strings
BUse max heap with frequency counts as before
CUse backtracking to generate all permutations and pick lex smallest
DUse a greedy approach selecting the smallest available character different from previous
Step-by-Step Solution
Solution:
  1. Step 1: Understand infinite supply variant

    With infinite supply, frequency counts are irrelevant; problem reduces to counting or generating strings avoiding adjacency.
  2. Step 2: Identify suitable approach

    Dynamic programming is needed to count or generate lex smallest strings under adjacency constraints.
  3. Step 3: Contrast with original greedy

    Original greedy relies on finite frequencies; infinite supply breaks that assumption, requiring DP.
  4. Final Answer:

    Option A -> Option A
  5. Quick Check:

    Infinite supply requires DP, not greedy heap [OK]
Quick Trick: Infinite supply breaks frequency-based greedy, needs DP [OK]
Common Mistakes:
MISTAKES
  • Trying to reuse greedy heap
  • Ignoring infinite supply impact
  • Assuming backtracking is only way
Trap Explanation:
PITFALL
  • Candidates often try to apply original greedy heap approach incorrectly to infinite supply variant.
Interviewer Note:
CONTEXT
  • Tests ability to adapt approach to problem variants changing core assumptions.
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