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You are given a list of positive integers along with a sequence of operations from the set {∗,+}.You construct expressions from these two lists so that:

  • The numbers in the expression are drawn from the first list, without repetition and without altering their order.
  • All the operators in the second list are used in the expression, in the same order.

For example, if the two lists are [1,3,2,1,4] and  [′∗′,′+′]  the set of possible expressions you can form are 
For each expression, the value is computed by bracketing operators from the right. That is, the expressions above are evaluated as

1∗(3+2),  1∗(3+1),  1∗(3+4),  1∗(2+1),  1∗(2+4),…,2∗(1+4),  1∗(3+2),  1∗(3+1),  1∗(3+4),  1∗(2+1),  1∗(2+4),…,2∗(1+4) 
The aim is to determine maximum value among these expressions. In this example, the maximum value is 18, from the expression 3*2+4, which is evaluated as 3∗(2+4) = 3*6 =18. 
You may assume that the length of the first list is more than the length of the second list. 
Describe an algorithm to solve this problem.

asked in Algorithms by (173 points)
edited by | 53 views
I think the answer should be O(n log^k (n))
the bracketing done in example is only applicable in that example right?
In the example they are showing how to bracket the elements of the first list.

Suppose the first list is {1,2,3,4,5} and the second list is {+,*,+}

Then one expression will be 1+(2*(3+4))

I hope this helps.
I have done the solution below. Check it tell me if anything is wrong.
I think the answer is correct THANK YOU

1 Answer

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Best answer

Suppose the 1st list has m nos. and the 2nd list has n operators here (m>n)

So, at each expression we will have (n+1) numbers.

Note that maximum value of the expression occurs when (n+1) maximum numbers out of m nos. in the first list will be present in the expression.

So, our goal is to find (n+1) maximum numbers out of m nos. in the first list.

Now, to find the maximum number out of m nos. in the first list can be done in O(n) time.

Build a max heap and extract the root node. Build a max heap takes O(n) time.

Now, the remaining n maximum numbers can be determined in O(log n) time. (call max - heapify on the max-heap and delete the root node).

Note that here n is a constant no. of operators in the second list.

So, to find (n+1) maximum numbers out of m numbers in the first list can be done in n + O(log n) time.

So, to determine the maximum value among all the expressions can be done in n + O(log n) time.. 

answered by Loyal (5.7k points)
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