Solution 4 for Scaler Topics Fortnightly Contest - 10

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DSA Problem Solving for Interviews using Java
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DSA Problem Solving for Interviews using Java
DSA Problem Solving for Interviews using Java
by Jitender Punia
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This article is part of the Scaler Topics Fortnightly Contest - 10

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Solution Approach

  • Assuming your’re allowed to chocolates separately only. It is classical knapsack-dp problem.
  • Let dp[i][j] be maximum sweetness you can get with j units of money.
  • The recurrence relation can be given as-dp[i][j] = max(dp[i-1][j], (dp[i-1][j-B[i]] + A[i] if j >= B[i] else 0))
  • Now coming to the original problem: Arrange the chocolates such that chocolates from box are consecutive.
  • Whenever you’re on last chocolate of a particular box (say i), update dp[i][j] (for all valid j) if you can take whole box.
  • Let box_sweetness[C[i]] is total sweetness of the box of ith chocolate where C[i] is the box of ith chocolate.
  • The recurrence relation can be given as-dp[i][j] = max(dp[i][j], (dp[last][j-D[i]] + box_sweetness[C[i]] if j >= D[i] else 0)) where last denotes the first chocolate before i with different box.
  • Final ans is dp[N-1][E].

Time Complexity - O(N + M + N * E) Space Complexity - O(N + M + N * E)

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