Thank you for everyone who participated in the contest :)
The winners of the contest are: 1. @SoMuchDrama 2. @achaitanyasai
Link to problems Qs: questions
Shreyy’s Birthday Gift
There are many ways to solve this problem. Given the solutions submitted by the users, here is an alternate way to think of the problem: For n sized array, the number of modulo operations are n - 1. This implies that you have to divide n - 1 additive and n - 1 negative signs among n items, with each item getting at most of 2 signs, and at least 1 sign each.
Now, we just sort the array, and if n is even, we can divide the array into [1: n / 2] and [n / 2 + 1: n] In the first partition, all elements get 2 positive signs each except the last element which gets 1 positive sign. In the second partition, the first element gets a single negative sign, whereas the rest get 2 negative signs
Aliens
A simple approach is to hash the possible distances. Then we could check each enemy base in O(N) time. However, this would yield an O(N2) algorithm which is too slow.
Let’s restate the problem and use binary vectors. S[i] is 1 if grenade can reach distance i and H[i] is 1 if there is an enemy base at distance i We want to calculate Possible[i] = S[k]∗S[i−k] The Possible vector is actually the discrete convolution of S with itself. We can calculate it the same way we multiply polynomials using a discrete Fast Fourier Transform (FFT).
The discrete FFT of n values can be calculated in O(nlogn).After calculating the Possible vector, we just need to check in how many distances i, Possible[i] > 0 and H[i] = 1 Recall that the distances are up to 200000. Say the maximum distance is D, then the time complexity of this approach is O(N + M + DlogD) which will pass the time limits.
