Consider the following version of Knapsack. Given are two weight limits W 1 and W 2 , where W 1 ≤ W 2 . Given are also n items (w 1 , c 1 ), (w 2 , c 2 ), . . . , (w n , c n ), where w i is the weight and c i the cost of the i-th item. We want to find a subset of these items of the highest cost, where the subset weights at least W 1 and at most W 2 . Give an O(nW 2 ) algorithm for this problem. (Recall that the cost (respectively weight) of a subset is the sum of the costs (respectively weights) of the items in the subset

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