5. For the 0-1 Knapsack Problem, the item #1 has weight of 4 and the value...

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5. For the 0-1 Knapsack Problem, the item #1 has weight of 4 and the value of $12; the item #2 has weight of 1 and the value of $1; the item #3 has weight of 5 and the value of $10; and the item #4 has weight of 2 and the value of $8. The capacity of the knapsack's weight is 10. The Dynamic Programming algorithm has produced the following array. Fill the last two entries in the array and show how they are calcurated. 0 1 2 3 4 0 0 0 0 0 0 1 0 0 1 1 1 2 3 4 0 0 0 0 0 1 1 8 1 1 9 12 12 12 22 12 5 0 12 13 22 6 7 0 0 12 13 33 13 13 13 20 8 9 0 0 10 0 12 12 13 13 13 22 23 12 12 13 13 13 21 21 a) (6 pts) D[4][9] = b) (6 pts) D[4][10] = c) (8 pts) Which items should be put in the knapscak to achieve the maximum profit? Show how you determined this result. 5. For the 0-1 Knapsack Problem, the item #1 has weight of 4 and the value of $12; the item #2 has weight of 1 and the value of $1; the item #3 has weight of 5 and the value of $10; and the item #4 has weight of 2 and the value of $8. The capacity of the knapsack's weight is 10. The Dynamic Programming algorithm has produced the following array. Fill the last two entries in the array and show how they are calcurated. 0 1 2 3 4 0 0 0 0 0 0 1 0 0 1 1 1 2 3 4 0 0 0 0 0 1 1 8 1 1 9 12 12 12 22 12 5 0 12 13 22 6 7 0 0 12 13 33 13 13 13 20 8 9 0 0 10 0 12 12 13 13 13 22 23 12 12 13 13 13 21 21 a) (6 pts) D[4][9] = b) (6 pts) D[4][10] = c) (8 pts) Which items should be put in the knapscak to achieve the maximum profit? Show how you determined this result.

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1main code A dynamic programming based solution for 01 Knapsack problem inclu... View the full answer