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Open Claude Desktopdynamic-programming · binary-search · sorting · two-pointers
The organizer’s problem statement is available at the official source link.
sample trace
Nap Sort: dynamic programming walkthrough
Nap Sort: use the linked editorial?s dynamic programming, binary search idea on the published sample, then verify the displayed output.
Published input4
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1 2 4 5 100000000000
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17 53 4 33 44
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3 5 5 5
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2 5 100 1 4 5modelAlgorithm ideaTrack smaller states that summarize partial solutions. For each state, combine the legal predecessor states; the full-task state gives the result.task resultExpected output6
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State
Choose a compact value for each partial subproblem so later choices need only that summary. - 2
Transition
Combine legal smaller states to compute reachability, a count, or an optimum for the next state. - 3
Finish
Read the state representing the full task and compare it with the published sample output. - 4
Verify the sample
Use the published sample output to check the result of this idea on the displayed input.
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