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Given a list of unique positive integers and a target sum, which technique is most suitable to find all combinations where numbers can be reused unlimited times to reach the target?

easy💻 Programming Q1 of Q15
Subsets & Combinations - Combination Sum (Reuse Allowed)
Given a list of unique positive integers and a target sum, which technique is most suitable to find all combinations where numbers can be reused unlimited times to reach the target?
AGreedy algorithm selecting largest numbers first
BDynamic programming with tabulation only
CBacktracking with recursion and pruning
DSorting and binary search without recursion
Step-by-Step Solution
Solution:
  1. Step 1: Identify the problem type

    This is a combination problem with reuse allowed, requiring exploration of multiple paths.
  2. Step 2: Choose algorithmic pattern

    Backtracking with recursion and pruning efficiently explores all valid combinations without duplicates.
  3. Final Answer:

    Option C -> Option C
  4. Quick Check:

    Backtracking handles reuse and pruning avoids unnecessary paths [OK]
Quick Trick: Use backtracking for combinations with unlimited reuse [OK]
Common Mistakes:
MISTAKES
  • Assuming greedy approach works for all target sums
  • Using DP without handling reuse properly
  • Ignoring pruning leading to timeouts
Trap Explanation:
PITFALL
  • Greedy and DP without recursion do not handle reuse and all combinations correctly.
Interviewer Note:
CONTEXT
  • Tests understanding of appropriate algorithmic patterns for combination problems with reuse.
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