What is the Maximum Sum of Subsequence with No Ten Consecutive Elements problem and how can it be solved using Dynamic Programming?

Dynamic Programming Questions



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What is the Maximum Sum of Subsequence with No Ten Consecutive Elements problem and how can it be solved using Dynamic Programming?

The Maximum Sum of Subsequence with No Ten Consecutive Elements problem is a dynamic programming problem that involves finding the maximum sum of a subsequence from a given sequence, where no more than ten consecutive elements can be included in the subsequence.

To solve this problem using dynamic programming, we can use a bottom-up approach. We create an array, dp, of the same length as the given sequence, where dp[i] represents the maximum sum of a subsequence ending at index i.

We initialize dp[0] as the first element of the sequence. Then, for each subsequent element at index i, we have two options:

1. Exclude the current element: In this case, the maximum sum of a subsequence ending at index i is the same as the maximum sum of a subsequence ending at index i-1, which is dp[i-1].

2. Include the current element: In this case, we need to ensure that there are no more than ten consecutive elements in the subsequence. So, we need to consider the maximum sum of a subsequence ending at index i-2, i-3, ..., i-10 (if they exist). The maximum sum among these indices can be found using dp[i-2], dp[i-3], ..., dp[i-10]. Therefore, the maximum sum of a subsequence ending at index i is the current element plus the maximum sum among dp[i-2], dp[i-3], ..., dp[i-10].

Finally, the maximum sum of a subsequence with no ten consecutive elements can be found by taking the maximum value from dp.

The time complexity of this dynamic programming solution is O(n), where n is the length of the given sequence.