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Unformatted text preview: CS3230 Tutorial 8 1. Give an argument to show why dynamic programming algorithm gives optimal solution for coin changing problem. Ans: By induction on k , we show that C [ n k,j ] is optimal (that is, it gives the optimal number of coins using denominations d [ i ], i ≥ n k ). Clearly, for k = 0, C [ n,j ] is optimal, for j ≤ S . Suppose C [ n k + 1 ,j ] is optimal, for j ≤ S . We then show that C [ n k,j ] is optimal for j ≤ S , by induction on j . Clearly, this holds if j = 0. Suppose C [ n k,j ] is optimal for j ≤ m . Then, consider C [ n k,m +1]. Consider two cases, when optimal change contains d [ n k ] or not. In the first case, the optimal change contains 1 + C [ n k,m + 1 d [ n k ]] coins (by induction). In the latter case, the optimal change contains C [ n k + 1 ,m + 1] coins (by induction). As the algorithm chooses the minimal of these two cases, we have that C [ n k,m + 1] as the correct optimal answer....
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 Fall '10
 sanjay
 Algorithms, Dynamic Programming, Multiplication, C Programming, Harshad number, US standard clothing size, dynamic programming algorithm, optimal change

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