chokudai's blog

By chokudai, history, 6 weeks ago, In English,

We will hold AtCoder Beginner Contest 163.

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

We are looking forward to your participation!

 
 
 
 
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6 weeks ago, # |
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Cannot access problems!!!

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6 weeks ago, # |
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Can't see the problem statements. :(

Edit — Unrated. F

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    6 weeks ago, # ^ |
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    For the first 4 minutes, it just was giving Error 502, bad gateway, and now it is loading the problem but all I see is an area to submit code, the text of the task itself is invisible!!

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      6 weeks ago, # ^ |
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      Atleast they should make an announcement about how much delay to expect or something regarding to this.

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Can't see the problem statements only submit code is visible.

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contest is unrated .

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6 weeks ago, # |
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Why Contest became Unrated?

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6 weeks ago, # |
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If someone wants to see the statements, press Ctrl + U and scroll the page down to the problem statement.

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What does 'internal error' mean?

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Looks Like Atcoder is getting Inspired By CF

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6 weeks ago, # |
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Is the contest Unrated?

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6 weeks ago, # |
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scalability issue

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When E has more solver than A

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    6 weeks ago, # ^ |
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    orz first solver

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      6 weeks ago, # ^ |
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      Actually, I didn't know that for a while, and after the contest become unrated, I saw it by chance. Because the page of problem A was not displayed I solved B first, and that was lucky. :)

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6 weeks ago, # |
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How to solve D-F?

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How to solve E?

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    6 weeks ago, # ^ |
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    Sort the children according to the Ai(from big to small)

    Then if you are considering the i-th child,this is always arranged in the smallest position (aren't used) or the biggest position (aren't used) .

    So we can dp.dp[i][j]means when considering the i-th child ,there are j children in the left ,the best answer.

    We can update it easily.

    UPDATE :SEARCH "Gary" in atcoder for the submission

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      6 weeks ago, # ^ |
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      Can you explain dp transitions?

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        6 weeks ago, # ^ |
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        For the ith element after sorting, you need to place it in the front or at the back. And at this time (i — 1), elements have already been placed. L of them are in the front and R of them are at the back. Here L + R = i — 1.

        Then the dp transition is

        $$$dp[L + 1][R] = max(dp[L + 1][R], dp[L][R] + abs(L + 1 - pos[i]) * val[i]$$$
        $$$dp[L][R + 1] = max(dp[L][R + 1], dp[L][R] + abs(n - R - pos[i]) * val[i]$$$

        Here pos[i] is the original position of the ith element, val[i] is its val.

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          6 weeks ago, # ^ |
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          why not take the maximum distance for given Ai either front or back

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            6 weeks ago, # ^ |
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            This was my doubt too. We are claiming to put the unassigned largest element at one of the extremes (I am guessing by thinking greedily?), then why not assign it to the farthest extremes. Can someone please clarify this?

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              6 weeks ago, # ^ |
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              That was my thought during the contest... But I guess one problem is : what do you do in case of equality ? If both extremes are of same distance to the current biggest element ? What extreme do you choose ?

              It's not an obvious question and the DP array allows you to see what happens to both extremes.

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      6 weeks ago, # ^ |
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      Can you please prove why are we sorting in descending order.MrGary

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        6 weeks ago, # ^ |
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        If Ai>Aj!

        if i-th children and the j-th both move to the left,and the new j-th child's position is smaller.

        There are two cases

        • i>j
        • i<j

        we can describe them in the picture below.  You can find that ,if the i-th moves to '1',and j-th moves to '2' ,the answer will be better.

        You can prove the case that i-th ,j-th both move to right like this.

        Update: if we sort them in decreasing order we can consider the i-th earlier. So the situation above won't happen.

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    6 weeks ago, # ^ |
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    The English tutorial for problem E: Active Infants is here

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How to solve F?

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    6 weeks ago, # ^ |
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    see HDU 6035 Colorful Tree, after erasing all nodes of color u, find all connected components of the remaining tree and minus the num of paths without passing color u. We can do it by using tree DP like the problem above in $$$O(n)$$$

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      6 weeks ago, # ^ |
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      Thanks a lot ^_^

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      6 weeks ago, # ^ |
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      My thought is also in the same lines as yours.can you please quote some references for the dynamic programming part. Finding it difficult to think.

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    6 weeks ago, # ^ |
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    I want to share my dumb solution. For a color with $$$M$$$ vertice, we can build a virtual tree containing the $$$M$$$ vertice in $$$O(M \log M)$$$. (Don't know if we can do better) Then simply DFS the virtual tree and calculate the number $$$K$$$ of paths in the original graph that doesn't contain the vertex in virtual tree. Te answer for that color is $$$\frac{n (n + 1)}{2} - K$$$.

    UPD: turns out it can be done in $$$O(M)$$$ since we don't need sorting in the problem code

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I don't know if it was just me, but the website had full functionality in Firefox and not Chrome for the duration of the contest.

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    6 weeks ago, # ^ |
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    true

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    6 weeks ago, # ^ |
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    It's not about the particular browser as far as I understand Some of the responses from the server were cached in the browser during the heavy problems in the beginning. When you tried a different browser, it didn't have the same caches, so it worked fine. But you could just as well refresh the site ignoring the cache or reset it manually (ctrl-shift-R for me)

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Is E maximum weighted bipartite matching problem. I have heard of the algorithm but don't know the algorithm.

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I need help for problem D. Somebody help me! Why I got WA? here is the code.

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For D the key observation is, that for any set of $$$k$$$ choosen numbers, we can build any sum in the interval from smallest possible to the biggest possible.

And those both numbers can be calculated in $$$O(1)$$$, so we can calculate the sum in $$$O(n)$$$.

Min sum for $$$k$$$ of $$$n$$$ is $$$((i-1)\cdot i)/2$$$

Max sum for $$$k$$$ of $$$n$$$ is $$$n\cdot i - ((i-1)\cdot i)/2$$$

$$$ans=\sum\limits_{i=k}^{n+1}{max(i)-min(i)+1}$$$

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    6 weeks ago, # ^ |
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    Can you tell why is max sum n*i — (i(i-1))/2. Like how a proof for that. Thanks :)

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      6 weeks ago, # ^ |
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      we choose k numbers from (n+1) numbers (0, 1, ..., n). The min is 0 + 1 + ... + k — 1 = (k — 1) * k / 2 The max is n + (n — 1) + ... + (n — (k — 1)) = (2n — k + 1) * k / 2

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      6 weeks ago, # ^ |
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      That's simple. Take sum as (n-i+1)+(n-i+2)+....(n-i+i) --> the largest i elements. That will give you (n.i)-(i(i-1)/2).

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    Thanks for explaining.

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    6 weeks ago, # ^ |
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    great

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Can someone explain the recurrence and DP transitions in E?

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    6 weeks ago, # ^ |
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    I'll assume you already know that we should process the children from the biggest Ai first.

    Define dp[l][r] as the maximum happiness we can get if we want to put the remaining children to index l to r. The answer will be dp[1][N]. If the current state is (l, r), that means we are currently processing child with index i = N — (r — l + 1) + 1. We will have two choices, either put this child to index l or index r. If we put it to index l, then the happiness will be abs(l — child_initial_position) * A + dp[l + 1][r]. If we put it to index r, then the happiness will be abs(r — child_initial_position) * A + dp[l][r — 1]. We will take the maximum of those. Hope it helps.

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      6 weeks ago, # ^ |
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      how to be sure that maximum element should be in corners only?

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        6 weeks ago, # ^ |
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        You can use exchange argument technique to proof it.

        I am not really sure that my proof is correct, so I'll leave your question to someone more experienced.

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          6 weeks ago, # ^ |
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          What's exchange arguement technique. And can't E be done using maximum bipartitte matching.

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        6 weeks ago, # ^ |
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        That's my question too?

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        6 weeks ago, # ^ |
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        By rearrangement inequality, we can prove that, biggest element has to be multiplied with the biggest difference, which is possible only if we consider either extremes as its new position.

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      6 weeks ago, # ^ |
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      Thanks a lot for that explaination. Was really confused about this!

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    6 weeks ago, # ^ |
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    You can have a look at the English commentary of Problem E here.

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    6 weeks ago, # ^ |
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    take the sample 1 3 4 2 as example, the impact of every element in array should like this: [0, 1, 2, 3] [3, 0, 3, 6] [8, 4, 0, 4] [6, 4, 2, 0] it is easy to know that for every element, the impact of it is increasing whit itself like the element 4, the position is 3 then the effect of position of 4, 2, 1 is 4, 4, 8

    now you can see that like two element ai and aj, ai>aj, both ai and aj wants position k, we need to put ai at k because: first put all ai and aj to k: (ai*(k-x))+(aj*(k-y)) now we need to move one to k-1 because just one can put to k, if we move ai we need minus ai, move aj we need minus aj, because ai>aj, so put ai at k is better.

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O(1) Solution for Problem D

#include <bits/stdc++.h>
using namespace std;

int main() {
  long long n, k;
  cin >> n >> k;
  cout << (2 * k * k * k - 3 * k * k * n - 6 * k * k + 3 * k * n - 2 * k + 
           n * n * n + 3 * n * n + 8 * n + 12) / 6 % 1000000007 << endl;
  return 0;
}

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    6 weeks ago, # ^ |
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    Can you tell me how you got this?

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      $$$ans = \sum_{i = k}^{n} dp[i]$$$
      $$$dp[i] = (\sum_{j=1}^{i} (n + 1 - j)) - (\sum_{j = 1}^{i} (j - 1)) + 1$$$

      Because all numbers between

      $$$\sum_{j = 1}^{i} (j - 1)$$$

      and

      $$$\sum_{j=1}^{i} (n + 1 - j)$$$

      (inclusive) are reachable.

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What am I doing wrong in Problem D? code

In my code, for sample case-1,

ind = 0 1 2 3

pre = 0 1 3 6

suf = 6 6 5 3

sum += (5-1+1) + (6-3+1) + (6-6+1) = 10

I am just calculating min and max sum using prefix and suffix sums, but this approach isn't working for sample case-3.

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What's wrong?I can't see the statement!

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Can someone tell how to solve F?

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    6 weeks ago, # ^ |
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    Similar problem statement, but not same. In atcoder C, we just had to print the frequencies.

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Can anyone please help me with problem E(active infants). I am just a beginner, i know that its a dp problem but still i am confused and not getting the actual transition states. Thankx in advance. God bless the helper!!

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I finally passed a solution for F (in 1829 ms)!

I realized the obvious technique of counting the sizes of the regions between two colors, doing the N*(N+1)/2 trick, and then complementary counting.

However, my implementation was really messy (main code was nearly 200 lines long!).

I ended up doing a pre-order traversal, and keeping track of a Binary Indexed Tree for each color. Any other ideas?