The weight of a sequence a0, a1, …, an-1 of real numbers is defined as a0+a1/2+…+ aa-1/2n-1. A subsequence of a sequence is obtained by deleting some elements from the sequence, keeping the order of the remaining elements the same. Let X denote the maximum possible weight of a subsequence of a0, a1, …,an-1 and Y the maximum possible weight of a subsequence of a1, a2, …,an-1. Then X is equal to (A) max(Y, a0+Y) (B) max(Y, a0+Y/2) (C) max(Y, a0+2Y) (D) a0+Y/2
Answer: (B)
Explanation: Using concepts of Dynamic Programming, to find the maximum possible weight of a subsequence of X, we will have two alternatives:
- Do not include a0 in the subsequence: then the maximum possible weight will be equal to maximum possible weight of a subsequence of {a1, a2,….an} which is represented by Y
- Include a0: then maximum possible weight will be equal to a0 + (each number picked in Y will get divided by 2) a0 + Y/2. Here you can note that Y will itself pick optimal subsequence to maximize the weight.
Final answer will be Max(Case1, Case2) i.e. Max(Y, a0 + Y/2). Hence B).
Why is the 2nd alternative Y/2
using Dynamic programming?
As per my understanding, the alternatives are:
a1, a2, …,an-1 = Y
a1, a2, …,an-1 = a0 + Y
(but in above explaination it takes Y/2
. Why?)Without a0
, the subsequence sum is
Y = a1 + a2/2 + a3/4 ....
With a0
included, the sum becomes
a0 + a1/2 + a2/4 + a3/8 ... = a0 + [1/2 * (a1 + a2/2 + a3/4 ...)] = a0 + Y/2
So the correct answer would be option B
.