We will hold AtCoder Beginner Contest 211.

- Contest URL: https://atcoder.jp/contests/abc211
- Start Time: http://www.timeanddate.com/worldclock/fixedtime.html?iso=20210724T2100&p1=248
- Duration: 100 minutes
- Number of Tasks: 6
- Writer: kyopro_friends, physics0523, sugarrr, tatyam
- Tester: blackyuki
- Rated range: ~ 1999

The point values will be 100-200-300-400-500-600.

We are looking forward to your participation!

How to solve E?

I did it with DP on a broken state. Maintain the connected components of the last row when processing the next row.

How to calculate the upper bound of the valid combinations. (Except for taking hint from Sample 3)

You can see that consecutive red squares are in the same connected component, so there can be at most $$$4$$$ distinct connected components in a row.

This gives you a bound of $$$5^8 = 390625$$$, which is enough to work with (for storage).

Actual bound is much lower. Number of such connectivity states which are valid are called crossing-free partitions and are related to catalan numbers.

Hey!, why $$$5^8$$$ not $$$4^8$$$ ?

Because a cell can have at max 4 distinct disjoint sets in its neigbourhood. Or it does not have any nearby, in which case it will create one disjoint set of its own.

AwakeAnay correct me if I am wrong.

Can you share your code? Here is my submission but I was getting the wrong answer on sample test 3.

My Code

can you help me why my code outputs very big answer AwakeAnay

i'm not sure whether i understand the problem correctly or not.

https://atcoder.jp/contests/abc211/submissions/24516062

Have you done E using broken state as $$$dp[i][mask][cnt]$$$ denote the number ways to colour cnt cells if we put mask in the ith column. As seems like I am undercounting as this mask may not be connected if mask in the previous column is already connected. I am finding no way to take that into account in this DP. As only checking the connectivity of current mask and previous mask is connected or not is not sufficient it seems.

yes i got it, is there any way to solve it using dp or what

Probably generate all k-nominos in all rotations then check on the template.

Implementation looks annoying though.

Simple bitmask dp works here. Just label the squares from 0 to n*n-1, and the mask denotes which squares are currently colored red, and we can store the masks in a map. For the mask, use unsigned long long since it can go up to $$$2^{64}-1$$$. Then iterate through all the mask generated, and check if it has k set bits and if so, add it to the answer. I don't know the runtime for this code, but I assumed this approach should work due to the answer for 8*8 being small. Code

DP was not needed on problem E, just generate all polinominos of size k, there are not that many. To geneate all of size k, consider all of size k-1 and add a valid cell to it. Code

Is there solution for E using dp on profile? Thought a lot about that.

i have one https://atcoder.jp/contests/abc211/submissions/24520808

My submission for problem D was basically a copy of https://www.geeksforgeeks.org/number-shortest-paths-unweighted-directed-graph/ because it doesn't make much sense to re-implement something else. Does AtCoder have any plagiarism checker, which could flag the use of third-party code?

Spirit of the contest relies in cracking and implementing algorithm by user himself instead of searching it on web.

The spirit of the contest is to be brutally efficient, while complying with the rules. If you voluntarily decide to handicap yourself, then you will have a worse position in the scoreboard and the other people will outperform you.

What makes people brutally efficient? Let's look at the best of the best. The solution of the fastest solver of the problem D had been submitted only 1 minute and 31 seconds after the start of the contest! Their problem D solution was just a simplistic use of a pre-written graph library code. What about

"cracking and implementing algorithm"? That's what I have done with problem C myself and this did cost me around 30 minutes. But it was apparently a well known classic problem too, so the best competitive programmers only spent a little bit more than a minute to find useful code snippets in their collections of pre-written code. Andtouristalso has demonstrated how true champions are doing this in the last Codeforces Global Round 15. He quickly noticed that the problem I from that round was a reuse of an older problem, so he reused the already existing solution for it.Even if a problem is not a direct copy of the older one, then a way to trivially reduce it to one of the already known solved problems still may exist.

I actually hated problems C and D.How can problems be so common?Because problems should be made with original concepts at a certain level.

Well it's a beginner contest so I think it's fine. AtCoder seems to focus more on known algorithms and less on adhoc problems compared to Codeforces (at least in lower levels). Both approaches are valuable in my opinion.

Well, maybe you are right.But there will be very good problems in tomorrow's ARC for sure.

Yes C was quite standard, although I failed to solve it . Could you comment some problem link which are like C ?

https://www.geeksforgeeks.org/find-number-times-string-occurs-given-string/

i didn't understand the part where:

could anyone explain a bit? I'm a little confused as to why we are ignoring last character of the given string..

https://codeforces.com/problemset/problem/1178/B

Some thoughts on problem

D:Number of Shortest PathsThe important point to note is that in a BFS tree, edges can only exist between nodes at same level or consecutive levels.

Let's label node 1 as $$$source$$$ and node $$$n$$$ as $$$target$$$. Consider any (shortest) path from $$$source$$$ to $$$target$$$. It's obvious that the last node in the path is $$$target$$$. But let's focus on the penultimate node. If the $$$target$$$ is at level $$$L$$$, then the penultimate node must've been at level $$$L - 1$$$. Moreover, all the nodes at level $$$L - 1$$$ which have a tree edge to $$$target$$$ at level $$$L$$$ are a possible candidate for the penultimate node. Hence, if we can somehow determine the number of shortest paths to these candidate nodes, the answer for the target node would be the sum of all contributions. Applying this process recursively, we have the DP definition, where, $$$dp[node]$$$ denotes the number of shortest paths that start at $$$source$$$ and end at node $$$node$$$ :

The base case is $$$dp[source] = 1$$$.

How to efficiently fill this DP? Start a BFS, and and whenever you encounter a children, check whether the children is from the next level or the current one. If the children would go to the next level, increase the DP value of the children by the DP value of the parent. If the children is from the same level, do nothing. Note that, as discussed earlier, the level difference can't be more than 1 in a BFS tree.

Codederp: forgot modulo twice, only noticed one of them during contest.

Why in problem C, recursion with memoisation gives TLE, whereas the bottom-up approach works fine.

Code## include <bits/stdc++.h>

using namespace std;

## define lln long long int

## define MOD 1000000007

lln dp[100001][8];

lln solve(string a,string b, int n, int m , int i, int j) {

}

int main() {

## ifndef ONLINE_JUDGE

## endif

}

It's because you are not passing the string by reference, thereby introducing an extra $$$n$$$ factor in the time complexity.

Ok, Thankyou, now it is passed

My approach to C is different from editorial:

https://atcoder.jp/contests/abc211/submissions/24490495

best approach

It's not different, you just use a different notation for states and do the same dp, just on a map.

Can you please add test cases for yesterday's contest? Couldn't find it on the dropbox link.

I haven't seen my solution to F described, so I'll drop it here. For each polygon, take the points with the lowest x-coordinate, breaking ties by y-coordinate. Then let the value of that point be $$$1$$$, and label the rest of the points going clockwise (or counterclockwise, doesn't matter since $$$M$$$ is even) with $$$1, -1$$$. Now to query $$$(x + 0.5, y + 0.5)$$$, we simply want the sum of the values of points in the rectangle with opposite points $$$(0, 0), (x, y)$$$. The implementation of this is very straightforward if you have rectangle sum already implemented. You can also easily extend this to solve queries where you can alternate between adding/removing polygons and querying how many polygons a point is in.

Submission

how to solve C

like the DP problem

PET