Greedy Algorithms - Jump Game II (Minimum Jumps)
Suppose the Jump Game II problem changes: now you must find the minimum jumps to reach the last index, but each jump has a cost equal to the jump length. Which approach best adapts to this variant?
Suppose the Jump Game II problem changes: now you must find the minimum jumps to reach the last index, but each jump has a cost equal to the jump length. Which approach best adapts to this variant?
hard🎤 Interviewer Follow-up Q10 of Q15
Step-by-Step Solution
Solution:
Step 1: Understand cost variant
Jump cost depends on jump length, so uniform cost BFS or greedy won't work.Step 2: Identify suitable algorithm
Dijkstra's algorithm handles weighted edges, modeling jumps as edges with costs.Final Answer:
Option A -> Option AQuick Check:
Weighted shortest path -> Dijkstra's algorithm [OK]
Quick Trick: Weighted jumps -> use Dijkstra's algorithm [OK]
Common Mistakes:
MISTAKES- Trying greedy on weighted jumps
- Assuming BFS works with variable costs
Trap Explanation:
PITFALL- Candidates often try greedy or BFS ignoring variable jump costs.
Interviewer Note:
CONTEXT- Tests ability to adapt approach to weighted jump costs.
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