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You have a truck with limited capacity and multiple box types, each with a count and units per box. Which algorithmic pattern best fits maximizing total units loaded?

easy🔍 Pattern Recognition Q1 of Q15
Greedy Algorithms - Maximum Units on a Truck
You have a truck with limited capacity and multiple box types, each with a count and units per box. Which algorithmic pattern best fits maximizing total units loaded?
AGreedy algorithm by sorting box types by units per box descending and picking greedily
BDynamic Programming with state memoization to explore all combinations
CBacktracking to try all subsets of boxes to find maximum units
DDivide and Conquer by splitting box types and merging results
Step-by-Step Solution
Solution:
  1. Step 1: Identify problem constraints

    The problem allows picking whole boxes up to truck capacity, aiming to maximize units.
  2. Step 2: Recognize greedy choice property

    Choosing boxes with highest units per box first leads to optimal total units without needing exhaustive search.
  3. Final Answer:

    Option A -> Option A
  4. Quick Check:

    Greedy sorting by units per box is optimal for this problem [OK]
Quick Trick: Maximize units by picking highest units per box first [OK]
Common Mistakes:
MISTAKES
  • Thinking DP is needed because of capacity constraint
Trap Explanation:
PITFALL
  • Candidates often confuse this with knapsack needing DP, but greedy suffices here.
Interviewer Note:
CONTEXT
  • Tests candidate's ability to recognize greedy pattern applicability.
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