MAXIMALEXP - Editorial

PROBLEM LINK:

Practice
Contest: Division 1
Contest: Division 2
Contest: Division 3
Contest: Division 4

Author: munch_01
Preparer: jay_1048576
Tester: yash_daga
Editorialist: iceknight1093

DIFFICULTY:

2127

PREREQUISITES:

None

PROBLEM:

Given N and K, define the function f(x) = (x\bmod K) \times ((N-x)\bmod K).
Find any 0 \leq x \leq N that maximizes f(x).

EXPLANATION:

N can be quite large, so of course trying every x is out of the question.
Instead, let’s attempt to reduce the number of x we need to check.

One way to build intuition for this is to look at the case when K \gt N, in which case x\bmod K = x and (N-x)\bmod K = (N-x) (since they’re both less than K already).
This results in f(x) = x\cdot (N-x), and it’s not hard to see that this function is maximized at x = \frac{N}{2} (or rather, the nearest integer to \frac{N}{2}).
For example, a quick way of seeing it is to observe that when x \lt N-x, we have x\cdot (N-x) \leq (x+1)\cdot (N-x-1), so it’s always better to bring x closer to N-x.

In fact, this idea applies to the case when K \leq N as well!
That is, the choice of x that maximizes f(x) will be such that x\bmod K and (N-x) \bmod K have a difference of at most 1.

We just need to figure out when this is possible at all, i.e, which x satisfy this condition.
It turns out there are only two cases:

  • The first is x = \frac{N\bmod K}{2}
    This is the direct generalization of what we had for the N\lt K case, where here we instead start at 0 and N\bmod K and keep moving them closer towards each other.
  • The second is to just move in the other direction! That is, the point x = \frac{(N\bmod K) + K}{2}.
    This is what we get by starting at N\bmod K and K (which is equivalent to 0 modulo K) and moving them closer to each other.
    Note that to have this option, you do need to verify that x \leq N - it might not be the case if N is too small.

Now that you have (at most) two options for x, simply evaluate f(x) at both of them and choose the best one.

TIME COMPLEXITY

\mathcal{O}(1) per testcase.

CODE

Tester's code (C++)
// Input Checker
// Input verification
#include "bits/stdc++.h"
// #pragma GCC optimize("O3,unroll-loops")
// #pragma GCC target("avx2,bmi,bmi2,lzcnt,popcnt")
using namespace std;
using ll = long long int;
mt19937_64 rng(chrono::high_resolution_clock::now().time_since_epoch().count());

struct input_checker {
	string buffer;
	int pos;

	const string all = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz";
	const string number = "0123456789";
	const string upper = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
	const string lower = "abcdefghijklmnopqrstuvwxyz";

	input_checker() {
		pos = 0;
		while (true) {
			int c = cin.get();
			if (c == -1) {
				break;
			}
			buffer.push_back((char) c);
		}
	}

	int nextDelimiter() {
		int now = pos;
		while (now < (int) buffer.size() && buffer[now] != ' ' && buffer[now] != '\n') {
			now++;
		}
		return now;
	}

	string readOne() {
		assert(pos < (int) buffer.size());
		int nxt = nextDelimiter();
		string res;
		while (pos < nxt) {
			res += buffer[pos];
			pos++;
		}
		return res;
	}

	string readString(int minl, int maxl, const string &pattern = "") {
		assert(minl <= maxl);
		string res = readOne();
		assert(minl <= (int) res.size());
		assert((int) res.size() <= maxl);
		for (int i = 0; i < (int) res.size(); i++) {
			assert(pattern.empty() || pattern.find(res[i]) != string::npos);
		}
		return res;
	}

	int readInt(int minv, int maxv) {
		assert(minv <= maxv);
		int res = stoi(readOne());
		assert(minv <= res);
		assert(res <= maxv);
		return res;
	}

	long long readLong(long long minv, long long maxv) {
		assert(minv <= maxv);
		long long res = stoll(readOne());
		assert(minv <= res);
		assert(res <= maxv);
		return res;
	}

	auto readIntVec(int n, int minv, int maxv) {
		assert(n >= 0);
		vector<int> v(n);
		for (int i = 0; i < n; ++i) {
			v[i] = readInt(minv, maxv);
			if (i+1 < n) readSpace();
			else readEoln();
		}
		return v;
	}

	auto readLongVec(int n, long long minv, long long maxv) {
		assert(n >= 0);
		vector<long long> v(n);
		for (int i = 0; i < n; ++i) {
			v[i] = readLong(minv, maxv);
			if (i+1 < n) readSpace();
			else readEoln();
		}
		return v;
	}

	void readSpace() {
		assert((int) buffer.size() > pos);
		assert(buffer[pos] == ' ');
		pos++;
	}

	void readEoln() {
		assert((int) buffer.size() > pos);
		assert(buffer[pos] == '\n');
		pos++;
	}

	void readEof() {
		assert((int) buffer.size() == pos);
	}
};

int main()
{
	ios::sync_with_stdio(false); cin.tie(0);

	input_checker inp;

	int t = inp.readInt(1, 1e5); inp.readEoln();
	while (t--) {
		int n = inp.readInt(0, 1e9); inp.readSpace();
		int b = inp.readInt(1, 1e9); inp.readEoln();
		int ans=((n%b)/2);
		if(n>=b && n%b!=b-1)
		ans+=((b+1)/2);
		cout<<ans<<"\n";
	}
	inp.readEof();
}
Editorialist's code (Python)
def f(x, n, k):
    return (x%k) * ((n-x)%k)

for _ in range(int(input())):
    n, k = map(int, input().split())
    ans = (n%k)//2
    what = (k+n%k)//2
    if what <= n and f(what, n, k) > f(ans, n, k): ans = what
    print(ans)

(post deleted by author)

I dont clearly understand the 2nd case . Can someone help me ?

3 Likes

How I think

Hint 1

Try to divide the n object between two people such that their product is maximum. But there is one condition: if the total number of objects crosses k for any person, then the total number of objects of that person decreases by k.

Hint 2

Suppose you divide x, k group of objects and the number of objects remaining to distribute as rem.Now how to divide rem between two so that their multiple is maximum.

Hint 3

You can use one of the K groups again to maximize each person’s total number of objects if it exists.

is it possible to solve with binary search low=0,hight=min(n,k-1)?

include
using namespace std;

int main() {
int t;
cin>>t;
for(int i=0;i<t;i++){
int n,k;
cin>>n>>k;
if(n<=k){
cout<<(n/2)<<‘\n’;
}
else{

      }
}
// your code goes here
return 0;

}
I got the first cases where n<=k because the maximum would always be the middle term in these two cases. Can you help me for n>k one?

I don’t think we can apply binary search because the list of products is not a monotonic function so you don’t exactly know whether the next product is greater or the previous product is lesser.