Блог пользователя i_love_penguins

Автор i_love_penguins, 2 месяца назад, По-русски

1935A - Развлечение в ЦПМ

Идея: i_love_penguins
Разработка: i_love_penguins
Разбор: i_love_penguins

Подсказки
Разбор
Решение на C++
Решение на Python

1935B - Информатика в ЦПМ

Идея: AndreyPavlov
Разработка: AndreyPavlov, i_love_penguins
Разбор: AndreyPavlov

Подсказки
Разбор
Решение на C++
Решение на Python

1935C - Мессенджер в ЦПМ

Идея: i_love_penguins
Разработка: i_love_penguins
Разбор: i_love_penguins

Подсказки
Разбор
Решение на C++
Решение на Python

1935D - Экзамен в ЦПМ

Идея: IzhtskiyTimofey
Разработка: IzhtskiyTimofey
Разбор: IzhtskiyTimofey

Подсказки
Разбор
Решение на C++
Решение на Python

1935E - Дистанционные курсы в ЦПМ

Идея: IzhtskiyTimofey
Разработка: AndreyPavlov
Разбор: AndreyPavlov

Подсказки
Разбор
Решение на C++

1935F - Дерево Андрея

Идея: AndreyPavlov
Разработка: IzhtskiyTimofey
Разбор: IzhtskiyTimofey

Подсказки
Разбор
Решение на C++
Разбор задач Codeforces Round 932 (Div. 2)
  • Проголосовать: нравится
  • +213
  • Проголосовать: не нравится

»
2 месяца назад, # |
  Проголосовать: нравится +10 Проголосовать: не нравится

Very fast editorial

»
2 месяца назад, # |
  Проголосовать: нравится +91 Проголосовать: не нравится

I think D is easier than C lol. It takes me nearly 50 mins to come up with C, but only 25 mins on D.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    YES

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +38 Проголосовать: не нравится

    D was alot harder for me but that may be just cause I'm bad at math.

  • »
    »
    2 месяца назад, # ^ |
    Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

    Man you are Pro!!

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    True, my stupid ass got stuck on C but D took me like 10 mins.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Me too, I only used 10 mins actually lol

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    菜就多练

  • »
    »
    2 месяца назад, # ^ |
    Rev. 2   Проголосовать: нравится +3 Проголосовать: не нравится

    I have a doubt in the editorial of problem C. When I fix L and R i.e the border values, then why checking only summation of all a_i such that it does not exceed l-(b[r]-b[l]) is sufficient? Shouldn't we also ensure that we have taken a[l] and a[r] in that summation?

    • »
      »
      »
      2 месяца назад, # ^ |
      Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

      Technically speaking, you are right, but it doesn't matter here whether you take it or not,

      Say a[L] and a[R] are not in the cur(from editorial's implementation), say the a[L+d] and a[R-e] (R-e >= L+d) are the leftmost and right most a's included in the cur, then when the loops are at i = L+d and j = R-e this case is going to counted or maybe even bigger subset of a's (since difference of b's is smaller here, than when i = L and j = R, since b's are sorted), hence the multiset s doesn't exactly contain the a's which are considered in the current loop but the answer comes right (a clever implementation !!)

      PS : My submission in contest also works exactly on your line of thinking, you can check that out here 249816460, Although the code is very messy :(

  • »
    »
    6 недель назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    what is mistake in this code for problem c It would kind of you if you can figure it out include <bits/stdc++.h> using namespace std;

    define fast ios_base::sync_with_stdio(false), cin.tie(nullptr), cout.tie(nullptr); define ll long long define pb push_back int main() { fast int t; ll int n, x, a, b, a1, y, j; cin >> t; while (t--) { cin >> n >> x; a = 0; map<ll int, int> m; vector<pair<ll int, ll int>> v(n); for (int i = 0; i < n; ++i) { cin >> v[i].first >> v[i].second; m[v[i].second]++; a += v[i].first; } b = ((*(--m.end())).first — (*m.begin()).first); b += a; while (b > x) { if (v.size() == 1) { v.clear(); break; } j = 0; m[v[0].second]--; if (m[v[0].second] < 1) m.erase(v[0].second); a1 = a — v[0].first + ((*(--m.end())).first — (*m.begin()).first); m[v[0].second]++; for (int i = 1; i < v.size(); ++i) { m[v[i].second]--; if (m[v[i].second] < 1) m.erase(v[i].second); y = a — v[i].first + ((*(--m.end())).first — (*m.begin()).first); if (y < a1) { a1 = y; j = i; } m[v[i].second]++; } a -= v[j].first; m[v[j].second]--; if (m[v[j].second] < 1) m.erase(m[v[j].second]); b = a1; v.erase(v.begin() + j); } cout << v.size() << endl; } }

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Python implementation, love to see it :)

»
2 месяца назад, # |
  Проголосовать: нравится +25 Проголосовать: не нравится

C is much harder than D,I even used a segment tree to solve it.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +1 Проголосовать: не нравится

    can you share the solution using segment tree

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    I solve C,in contest time using a o(n^3) algorithmn.But someone hack me.However,the second day,I solve the problem in a o(n^3) algorithmn again.Using 2.1s to solve the 3s limited problem

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится +34 Проголосовать: не нравится

Problem C can be solved in $$$O(n \log^2{n})$$$ if we use binary search to find the answer.

UPD: Sorry, I was wrong. Yesterday I had an idea of using binary search and I was sure that would work. I even saw some solutions using binary search, so I did not code it. But today I found out they had different time complexities. My bad.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +3 Проголосовать: не нравится

    My code with such an asymptotic received a TLE.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +3 Проголосовать: не нравится

    Can you explain how?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +3 Проголосовать: не нравится

    how

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится +1 Проголосовать: не нравится

      Binary search $$$k$$$ — the size of the subset and check if there is a subarray of length $$$k$$$ with cost no larger than $$$l$$$. The rest is the same with the editorial.

      • »
        »
        »
        »
        2 месяца назад, # ^ |
        Rev. 2   Проголосовать: нравится +16 Проголосовать: не нравится

        why to check only subarray when we can choose subsequence also ???

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          I did think in binary search approach but then couldn't prove why subarray selection can be considered optimal instead of subsequence selection. Like, if I am starting at $$$b_{5}$$$ as first element and want to select $$$3$$$ elements, the optimal selection may be by chosing $$$(a_5, a_8, a_9)$$$ instead of $$$(a_5, a_6, a_7)$$$.
          This can happen because $$$a_6, a_7$$$ can be insanely high while $$$b_9$$$ may be only a bit higher than $$$b_7$$$.

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится 0 Проголосовать: не нравится

            i also couldn't figure out why selecting only the subarray works, why not the subsequence??

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          we are not checking whole subarray here we are checking some elements in the subarray.Here we can use priority_queue or multiset in order to get the maximum number of elements whose sum is less than l-(dif) where dif is the difference between bi value of first and last element of subarray :)

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится +4 Проголосовать: не нравится

        It seems that your own submission is not using binary search. Can you show us your code?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится -17 Проголосовать: не нравится

    it also can be solved in O(n^2)

    249837146

  • »
    »
    2 месяца назад, # ^ |
    Rev. 4   Проголосовать: нравится 0 Проголосовать: не нравится

    Binary Search can be applied: 249807781

    Disclaimer

    Main Idea:

    If we can select a subsequence of size k, so can we select a subsequence of size k' < k. (monotonicity is obvious.)

    Now remains to check if a subsequence of length k exists that doesnt exceed the limit.

    Let's assume we fixed the left and right borders. As pointed out, only the sum of the remaining a-values matters because the b-values are only important if they are on the borders.

    So we need to compute for all subarrays the sum of the smallest k-2 a-values not included in the borders.

    To achieve this, let's iterate over R from 2 to n, set L = R-1 and maintain a multiset that stores the smallest k-2 values currently included in our window. To expand our window, we just need to update the multiset with the a-value of index L.

    Total asymptotics is O(n^2logn). If you have any further questions please don't refrain from asking.

»
2 месяца назад, # |
  Проголосовать: нравится +7 Проголосовать: не нравится

IMO C was too hard

»
2 месяца назад, # |
  Проголосовать: нравится +25 Проголосовать: не нравится

Problem E is a fairly interesting and educational problem, I like it!!!

»
2 месяца назад, # |
  Проголосовать: нравится +16 Проголосовать: не нравится

Only if I read D before C... xD

»
2 месяца назад, # |
Rev. 6   Проголосовать: нравится +33 Проголосовать: не нравится

Really liked the problem B.

  • The key observation that hit me was "the mex of every subarray will actually be the mex of entire array if answer exists."
Why?
  • The 2nd observation was if answer exists, we only need 2 subarrays.
  • In O(N) we can find the mex of entire array.
  • Then pick first subarray starting from index 1 until you have read all numbers from [0, mx).
  • Then find mex for remaining array, and check if it equals to mex of entire array.
Pseudo Code
  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Nice! Same here...for the second one though, I just maintained a prefix array of mexes going from n-1 -> 0. Then, I compute the mex for each $$$i$$$ from $$$0, n$$$ and compare if leftmex == suffixmex[i+1], which is mostly the same as what you're saying, I think! I think the second observation that you only need 2 subarrays was the most useful for me.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +74 Проголосовать: не нравится

    bro really called python pseudocode damn

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится +18 Проголосовать: не нравится

      Lol. There's subtle differences which make it more valid to call this pseudo-code.

      If it were python,
      1. It would be def solve and not function solve.
      2. set = {} would just create a dictionary object making set.insert(i) invalid.
      3. I am assuming set = {} is a set that only stores distinct integers, which help me in calculating if I have seen all numbers from 0 to mx-1.
      4. getMex is assumed to be well understood and implemented by the user.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Thank You for breaking this down! I was having a hard time understanding the editorial but this makes so much sense.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Bro if 0 is more that two in the array,then 1 is also same but 2 is just 1 then answer should be no?

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      Yeah, but that approach is not scalable or simplify-able to write code IMO.

      It has lots of corner cases too, I also started with thinking if there's any non-negative number which occurs only once, then answer will be no.

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится 0 Проголосовать: не нравится

        "the mex of every subarray will actually be the mex of entire array if answer exists.",

        If mex is k and k-1 is just one time in the whole array,then answer must be no ?

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          Yes, that is correct, but it's not useful. Even if $$$k$$$ is the mex and $$$k-1$$$ appears twice, or even if all values in $$$[0, k-1]$$$ appear twice, there might still be no solution, for example $$$a = [0, 0, 1, 1]$$$.

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится 0 Проголосовать: не нравится

            Yeah,after that I will just build my two segment 0 to k-1 first then again 0 to k-1 for the second time.If I can build answer is yes otherwise no.I have already get ac in that way.But thank you for your analysis.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    I did it exactly like this and thought authors really messed up with it. Turns out there's a much simpler solution.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    why does 0 1 1 return -1?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Wow u back to cp?

  • »
    »
    2 месяца назад, # ^ |
    Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

    A typo?

    set.insert(i) should be set.insert(arr[i])

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    thanks

»
2 месяца назад, # |
  Проголосовать: нравится +5 Проголосовать: не нравится

Unbelievably fast editorial PLUS 2 language implementations?! Wow -- what an effort by the organizers, thank you!!!

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится -9 Проголосовать: не нравится

What is wrong with this solution?

void solve(){
    long n;
    string s;
    cin>>n>>s;
    string result;
    if(s[s.size()-1]<s[0]){
        result = s;
        reverse(result.begin(),result.end());
        
        cout<<result<<s<<"\n";
    }else{
        cout<<s<<"\n";
    }
    
    
}
  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    You are only checking for the first character of the string. You should check the whole string. Your code will fail on this string "adba"

  • »
    »
    2 месяца назад, # ^ |
    Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

    You are comparing the first and the last character of the string instead of comparing the complete string with its reverse.

    Consider the string "acba". Take n to be any even number. Now, your code will output "acba", even though "abcaacba" is lexicographically smaller.

    To correct this, check for reverseStr<str instead.

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      Yeah , the problem was if the last and first are equal I have to keep checking for the condition (s[s.size()-i-1]<s[i])

      Thank you for answering!

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    thats the same solution as mine

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    You can try the example acba

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Problem C was a little too difficult for me to understand. Great round anyways

»
2 месяца назад, # |
  Проголосовать: нравится +3 Проголосовать: не нравится

C is quite easy for me but unfortunately forgets the case where x+y and y-x equal s in D :(

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    I am a bit confused, while excluding x + y in S, won't there be some pairs where y — x is also in S, and those are doubly excluded when we calculate the answer for those again?

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      You can see that when subtracting the set containing (x + y), its common part with the set (y — x) is subtracted once, when subtracting the set containing (y — x), its common part with (x + y) is also subtracted once, meaning we have subtracted the common part twice (with one excess), so we need to add their common part once more

»
2 месяца назад, # |
  Проголосовать: нравится +6 Проголосовать: не нравится

B was very nice.

»
2 месяца назад, # |
  Проголосовать: нравится +10 Проголосовать: не нравится

C has DP solution in $$$O(n^2)$$$. 249790851

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    not offending you but what do you expect you are contributing with these comments...most of the people don't understand the code because you know what logic you wrote...it doesn't have comments either. Some understand wrong solutions and concepts get unclear...please if u comment then atleast give a small explanation of ur code

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится +16 Проголосовать: не нравится

We can solve $$$C$$$ with easy $$$O(n^2)$$$ dp solution. First, sort all pairs by $$$b_i$$$ value.

Now, sum of $$$|b_i - b_{i-1}|$$$ is equal to $$$b_{last} - b_{first}$$$ Let's say $$$dp_{len}$$$ is minimum value of sum $$$a_i$$$. Answer is maximum $$$len$$$, if $$$d_{len - 1} + a_i + b_i \le L$$$.

Base is $$$dp_1 = min(a_1 - b_1)$$$

The transition is $$$dp_{len} = min(self, dp_{len - 1} + a_i)$$$

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится -13 Проголосовать: не нравится

    please explain your solution clearly by writing the states then the transitions so that it helps us...these types of comments create in us confusion related to the topics...please answer

    • »
      »
      »
      2 месяца назад, # ^ |
      Rev. 3   Проголосовать: нравится +13 Проголосовать: не нравится

      I think I explained it good, maybe some pseudo-code will help you. Ask if it is not

      We must choose maximum lenght subsequence such sum of $$$\sum a_i + max(b) - min(b)$$$ is minimum (we want to choose minimum sum, because we want this sum be not greater than $$$L$$$, if minimum sum is greater than $$$L$$$ it means every sum will be greater than $$$L$$$).

      So, let's iteratate in non-decreasing order of values $$$b_i$$$, for $$$len = 1$$$ we store base $$$d_1 = min(d_1, a_i - b_i)$$$ (because $$$b_i$$$ is minimal value, that is, $$$min(b)$$$. And in formula we get $$$\sum a_i + max(b) - min(b)$$$, so current value $$$b_i$$$ will be $$$min(b)$$$ and we must substract it).

      Now transition is simple: choose previous length and try to add new value in it, increasing lenght by $$$1$$$

      sort pairs by b[i] value 
      d[len] = INF
      
      d[1] = a[1] - b[1]
      for(int i = 2; i <= n; i++) {
         for(int len = 1; len <= n; len++ ){
              check if (len + 1) will be answer after we add a[i] b[i] pair in it
         }
         for(int len = n; len >= 2; len-- ){
              d[len] = min(d[len], d[len - 1] + a[i])
         } 
         d[1] = min(d[1], a[i] - b[i])
         
      }
      
      print ans
      

      Upd: my submission during the contest [here]

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Did someone manage to pass a solution with complexity $$$O(n \log A \log n)$$$, where $$$A$$$ is $$$\max(x_i, y_i)$$$, for problem E? My first two solutions with that complexity gave TLE on test 30, but with the TL and the constraints I believe it should be able to pass. Here is my last submission with that complexity, in case anyone is interested: 249817071. I ended up solving it in $$$O(n \log A)$$$ doing the same but with sweepline.

»
2 месяца назад, # |
  Проголосовать: нравится +4 Проголосовать: не нравится

Was n^2log^2 not intended to pass for C? Was going to CM then FST lol.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can someone help me in problem C? I am trying to upsolve C and looking at the editorial would be my last option. Till now I have understood the problem and have thought of taking input for the message set as an array of pairs, and will try to sort it firstly on the basis of Api and then on the basis of Bpi and then form sets using dp to find the size of messgaes, Now should I move forward or should I change my approach ? Any hints?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +3 Проголосовать: не нравится

    Maybe you should try to sort pairs by $$$b_i$$$ because if you select some pairs and the optimal way to arrange them is sort them with $$$b_i$$$

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Thanks for the lightning fast editorial

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

C can also be solved using dp, dp[i][j] -> minimin time needed to read exactly j messages where i being the last one. This solution will be O(n^3) TLE but we can optimize it by using prefix dp .AC

»
2 месяца назад, # |
  Проголосовать: нравится -26 Проголосовать: не нравится

I really liked problem E, but I misread C so I didn't have the time to implement it :(.

»
2 месяца назад, # |
  Проголосовать: нравится +8 Проголосовать: не нравится

My problem E solution(AC after contest) should be $$$O(nlog^3A)$$$ where $$$A$$$ is max grade value (maybe smaller than that, the constant should be really small though). I assumed that for interval that end at $$$r$$$, number of $$$l$$$ that will change the max value is at most $$$log_2(A)$$$, and for each interval $$$[l, r]$$$, the grade that we must consider is also at most $$$log_2(A)$$$ when transition to $$$[l -1, r]$$$.

For those who are interested: 249836964. Feel free to hack!

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Meh, I had an $$$O(n \log^3)$$$ solution but decided not to implement because I thought it would TLE.

»
2 месяца назад, # |
Rev. 3   Проголосовать: нравится +21 Проголосовать: не нравится

I have a quite different solution of C. First, sort the array in the non-increasing order of $$$b_i$$$ ($$$b_i >= b_{i+1}$$$).

If we can get a set of size $$$k$$$, we can get a size $$$k-1$$$, so we can binary search on the final answer.

Let the final answer be $$$k$$$ and the set is $$$p1 p_2 ... p_k$$$ => $$$a_{p1} + b_{p1} - b_{p2} + a_{p2} + b_{p2} -b_{p3} .... + a_{pk} + p_{bk}$$$.

The final set is $$$a_{p1} + a_{pk} + b_{p1} - b_{pk} + $$$ the sum of the minimum $$$k-2$$$ values of $$$a$$$ of the selected segement which gives $$$a_{p_2} a_{p_3} ... a_{p_{k-1}}$$$ and we can use a priority_queue or multiset to handle it.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

why does 0 1 1 array in B return -1

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +6 Проголосовать: не нравится

    Because if you select 0 and 1 1, the mex for first segment is 1, and for the second segment is 0, or if you select 0 1 and 1, the mex on the first segment is 2 and in the second is 0, so again mexs are different.

»
2 месяца назад, # |
  Проголосовать: нравится +15 Проголосовать: не нравится

Thanks for fast editorial

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

In problem C, when I use a vector I get TLE, while when i use an array it gets accepted. Can anyone explain the reason?

https://mirror.codeforces.com/contest/1935/submission/249844469

https://mirror.codeforces.com/contest/1935/submission/249843979

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can anyone explain what's wrong with this idea.

Code

Here dpi1 denotes the maximum number of messages that can be read if ith message is the last one read. dpi0 denotes the minimum time needed to read dpi1 number of messages if ith message is the last one read.

So the answer will be max(dpi1) over all i.

Please someone tell me what's wrong with the above idea/code.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

C has a simpler solution in O(nsq) where the solution before i can be maintiained in just a vector storing better answer upto i-1

Array a is sorted by b. best stores the min val of (ai+aj+ak...)-(bi) for cnt elements to make ans with a new term az+bz need to be added

        vector<ll>best(n+1,INT_MAX);
        best[1]=(a[0].a-a[0].b);
        for(int i=0;i<n;i++){
            for(int cnt=i+1;cnt>=2;cnt--){
                ll prevmin=best[cnt-1];
                ll cans=prevmin+a[i].a;
                best[cnt]=min(best[cnt],cans);
                cans+=a[i].b;
                if(cans<=l){
                    ans=max(ans,cnt);
                }
            }
            best[1]=min(best[1],(a[i].a-a[i].b));
        }
        cout<<ans<<endl;

»
2 месяца назад, # |
  Проголосовать: нравится +4 Проголосовать: не нравится

for C, why the check v[r][0] - v[l][0] + cur > L works.

For the case when we pop a message from the heap that belongs to l or r index, shouldn't we change v[r][0] - v[l][0] to v[r - 1][0] - v[l][0] or v[r][0] - v[l + 1][0]

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I messed up C, made it $$$O(n^3)$$$. I didn't realise that for a given start value of $$$b$$$. If an element has to be discarded, it just has to be discarded!
I initially thought of a 2 pointer like thing, but discarded it later, and kind of brute forced without considering this fact.


Aside from that: Seems like the demographics have changed!
I remember getting severe negative deltas at such performances (such as mine today, in terms of rank).

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

time travel editorial

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится +2 Проголосовать: не нравится

Can someone help with Problem C ?
The tutorial's O(N^3logN) solution seems correct to me, but I have some hiccups in accepting the O(N^2logN) solution.

My question is in transitioning for (l, r) to (l, r+1)

  1. Answer for (l, r) would be picking as many smaller a's as possible with sum <= L-(a[l]+a[r]+(b[r]-b[l])), lets say you maintain the set S of best a's that fit this equation.
  2. Now, in the transition into (l, r+1) pair, using a[r] is optional. What if a[r] was too high that caused us to remove some good a's in previous iteration from S that could have been used for the solution of (l, r+1).

I know the solution lies where if a[r] was too high, the multiset would have already removed that first, but then, let's be honest, we are not really calculating the exact answer for (l, r) pair in the first place.

Could someone help with a precise explanation here?

  • »
    »
    2 месяца назад, # ^ |
    Rev. 2   Проголосовать: нравится +3 Проголосовать: не нравится

    In the solution, for the [l,r] interval, we are not maintaining number of smaller a's with sum <= L - (a[l] + a[r] + (b[r] - b[l])).

    Rather, for every interval [l, r], our priority_queue / multiset maintains the list of a's which lie in [l, r], with sum <= L - (b[r] - b[l]). only (which means we do not fix a[l] and a[r] to always be included in the sum).

    Now, 4 cases arise for interval [l, r]:

    1. Both a[l] and a[r] are included in the set of the smallest sum.
    2. a[l] is included but a[r] is not included
    3. a[r] is included but a[l] is not included
    4. both a[l] and a[r] are not included.

    For case 1, we know that this is the best set of a's maintained for [l, r], so we can do mx = max(mx, count) here. For every other case, we have some other interval [l_inner, r_inner] where l_inner and r_inner are indices of the leftmost and the rightmost included a's.

    For every [l, r] interval where case 1 is not applicable, we say that the current count is less than or equal to the count of [l_inner, r_inner] (This is because b[r_inner] - b[l_inner] <= b[r] - b[l] increasing the possible number of items we can pick for the sum within limit).

    So, for any [l, r] where cases 2, 3 and 4 exist, the answer will always be <= answer of [l_inner, r_inner].

    Also, we can see that for the interval [l_inner, r_inner], elements at l_inner and r_inner will be always be chosen in the sum. Since we are looping through all the possible values of l and r, it is ensured that we will calculate [l_inner, r_inner].

    So, this is why we do not need to calculate the exact sum for [l, r], but rather b[r] - b[l] + (sum of a's) <= L.

    Hope this helps and is not too confusing.

    • »
      »
      »
      2 месяца назад, # ^ |
      Rev. 3   Проголосовать: нравится +2 Проголосовать: не нравится

      In other words $$$\sum a <= L - (b_r - b_l) <= L - (b_j - b_i)$$$ where $$$l <= i <= j <= r$$$. Since we are iterating all possible $$$(l, r)$$$ we are also going over all $$$(i, j)$$$

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      Great explanation.

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      Great Explanation!!!

      So our first priority is to maintain all possible gaps/distance [l,r], and for that particular distance we are calculating maximum possible count. (Make Sense).

      I was thinking greddily and why we we not updating [l,r] in the case if we are removing first and last element of subset we are choosing.(We don't required it, we can simply calculate max soln for all possible distance).

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Why no implementations of E and F in python

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can someone tell me what am I missing in C problem ? I sorted in increasing order of b and found the required time for n messages , then I removed the messages one by one , checking which would reduce the time by maximum .. as soon as this sum was getting less than l , I was printing the current number of messages in the set...

249827661

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

For problem F, it can be proved that for any node $$$u$$$, there always exists an optimal set of edges such that there is at most one edge of the form $$$(mx_v, mx_v + 1)$$$, and all other edges are of the form $$$(mn_v - 1, mn_v)$$$ (and possibly one $$$(u - 1, u + 1))$$$.

In fact, we only require an edge of the form $$$(mx_v, mx_v + 1)$$$ when there is some neighbor $$$v$$$ of $$$u$$$ with $$$mn_v = u + 1$$$. In all other cases, it is sufficient to add all the valid $$$(mn_v - 1, mn_v)$$$ edges (and possibly one edge of the form $$$(u - 1, u + 1)$$$) to unite the entire tree.

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится +3 Проголосовать: не нравится

The phase of the coding journey where you are done with the first div 2 question in maximum 5-10 mins and then spend the next two hours coming up with O(n^5) solutions

»
2 месяца назад, # |
  Проголосовать: нравится +4 Проголосовать: не нравится
  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +5 Проголосовать: не нравится

    Same Solution

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Can you explain what you did?

    • »
      »
      »
      2 месяца назад, # ^ |
      Rev. 4   Проголосовать: нравится 0 Проголосовать: не нравится

      first of all we will store values in a vector<pair<int,int>> v and sort according to bi. (if you don't know why, ask)

      now, my dp[i][j] has following arguments i and j.

      i: chosen subset will end at i. j: chosen subset will have j values

      and dp[i][j] is the minimum cost of choosing optimal subset such that it ends at i and have j values in it.

      answer will be maximum value of all js such that dp[i][j]<=l.

      now transition: well I lied above dp[i][j] is not the minimum cost of choosing the optimal subset but rather it is dp[i][j] = minimum cost — v[x].second. where x is the index of the first value in the subset.

      and it's not only ending at i its minimum cost for all indexes <=i with values count j —

      transition works as follows dp[i][j] = dp[i-1][j-1] + v[i].first + v[i].second.

      a lot of things happened here dp[i-1][j-1] = minimum cost — v[x].second(explained above) is the amongst all the ending indexes < i, such that we get minimum cost — v[x].second so dp[i][j] = minimum cost + v[i].first + (v[i].first-v[x]) now since the b values are sorted only contribution we will get from b is (v[i].second-v[x].second)

      now we will do dp[i][j]= min(dp[i-1][j], dp[i][j]-v[i].second) (because we want to make it (minimum cost — v[x].second)).

      • »
        »
        »
        »
        2 месяца назад, # ^ |
        Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

        what made you choose to sort in accordance with bi

        got it :<)

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится 0 Проголосовать: не нравится

        Wow...your solution was great. I mean thinking of such states and transitions are great. please share some more prblms like this if you have where the state definition is not trivial and transitions require critical thinking...i Specially liked the part where you are using ur dp array to check if it is <= l...and at the next step making it such that it helps in recalculation of next dp states.

        please share more problems like this

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          this is a common technique where we have to separate f(i) and f(j) if we are dealing with pairs. (here essentially we are dealing with every thing before index j and j) let me give you a trivial example.

          suppose we have been given a array "arr" with some values and we have to calculate no of pairs such that arr[i]*arr[j] = 1 (mod 1e9+7)

          we can just loop in the array store 1/arr[i] (mod 1e9+7) in a hashmap and add and+=mp[arr[i]]; code:

          map<int,int> mp; int ans = 0;

          int inverseMod(int val) for(int i=0;i<n;i++){ ans+=mp[arr[i]]; mp[inverseMod(arr[i])]++; }

          the main idea being used in that dp solution is that only.

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      well i did not explain it very clearly if you have any doubt just ask me.

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится 0 Проголосовать: не нравится

        now we will do dp[i][j]= min(dp[i-1][j], dp[i][j]-v[i].second) (because we want to make it (minimum cost — v[x].second)).

        i don't get it when are you choosing to have v[x].second in dp[i][j] because if choosing ith as optimal then only we should add v[i].second to dp[i][j] so then if it's no optimal it shouldn't be added and shouldn't be subtracted in future

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          i don't clearly understand your question.

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
          Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

          dp[i][j] before this code "dp[i][j]= min(dp[i-1][j], dp[i][j]-v[i].second)"

          is taking the following form -> sum of all ai's in the subset + (v[i].second-v[x].second)

          now i am making it dp[i][j] = min(dp[i-1][j], sum of all ai's in the subset-v[x].second)

»
2 месяца назад, # |
  Проголосовать: нравится +1 Проголосовать: не нравится

Another solution for C using DP and binary search on the solution. https://mirror.codeforces.com/contest/1935/submission/249784754

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can someone explain why in the editorial of problem C when extracting elements from the multiset the value of v[r].first - v[l].first doesn't get updated? According to the logic, the value of v[r].first - v[l].first will decrease as we remove the greatest element from the multiset.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    if you think deeply it still covers all the cases. If we're removing a value of the element and still considering it's b value, this case has already been covered earlier at index with smaller b value which will be optimal than the current one.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    I agree. Posted the same query here.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I solved B using two pointers: 249886727. It works because mex is monotone by inclusion. Imo your editorial code is quite confusing for beginners. I would scan the array forward and backward instead of inventing how to update mex while removing a number.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Problem C

Can anyone tell me what's wrong in my code ? 249887053

logic -> for any range of l and r, we must add a[l] + a[r] + b[r] — b[r] in sum and for remaining we can use priority queue.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

In problem C, Can someone tell me whether the approach below works somehow?

I thought if I made this array a complete graph, and tried to find the minimum spanning tree starting at each vertex, then the maximum diameter amongst all the MST's should be the answer.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

For the solution of problem 1935C, when iterating over all $$$(l, r)$$$, the messages $$$l$$$ and $$$r$$$ are certainly read. However, when extracting elements from set s (which contains the $$$a$$$ values of the messages), no care is taken that messages $$$l$$$ and $$$r$$$ are not extracted. Can someone explain this?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +1 Проголосовать: не нравится

    If messages $$$l$$$ or $$$r$$$ are removed from the set, we're now calculating the cost incorrectly: the cost we calculate is larger that the true cost, and this might mean that our answer is too small.

    But that is actually never a problem. If $$$l$$$ or $$$r$$$ gets removed when considering the range $$$[l, r]$$$, the range $$$[l, r]$$$ is definitely not optimal ($$$[l, r-1]$$$ or $$$[l+1, r]$$$, depending on which element got removed, would be at least as good as $$$[l, r]$$$). Since we comsider all ranges, including $$$[l, r-1]$$$ and $$$[l+1, r]$$$, we won't miss the optimal solution.

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится +1 Проголосовать: не нравится

      Yes, but it doesn't seem satisfying IMO, I have posted similar doubt comment above.
      Also if element l gets removed, note that though l+1 may have less value in a but it definitely also has bigger b value which helps when its the smallest b. Now the answer to that is, but we will include l+1 in our for loop iteration, so that case gets covered.

      The point here is, this seems to be working only because of many other reasons behind the scenes which are skipped in editorial.

      Would like a cleaner general approach to handle such situations with more clarity without worrying over the behind-the-scenes forces making this work.

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится 0 Проголосовать: не нравится

        Just to avoid all this I didn't include lth element and rth element in the multiset. Instead, I added them explicitly. And guess what I got WA this way. And I ended up not being able to solve the problem in the contest.

        Here is my code : Submission It would be very helpful if you could point out where this code is failing.

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          I tried the same way and my submission fails at the same test case. This needs rectification.

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится 0 Проголосовать: не нравится

            I was not able to do anything today just to figure out why it is going wrong.

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится 0 Проголосовать: не нравится

            Take a look at Ticket 17407 from CF Stress for a counter example.

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится +1 Проголосовать: не нравится

            I just printed that test case that it was failing for.

            1
            4 4
            1 1
            1 1
            3 1
            1 2
            

            The thing is that when we are fixing lth and rth element we might remove a smaller element that might be useful afterwards just to keep rth element.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

why in c we have taken b max value — b min value? why not first minimum and second minimum?

»
2 месяца назад, # |
Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

why not in c we have taken 1st and 2nd minimum value of b . why we have taken max and min value?

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I tried to use dp for the C, passed the sample cases but got wrong answer. Need some help(´・_・`) My code

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

B was a very cute problem! Keep it up!

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I am still confused about the formula , $$$\sum_{i = 1} ^ {i = n - 1} |B_i - B_{i+1} |$$$. The formula always gets minimum , as the sequence is ordered. How to proof the formula clearly ???

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    What proof?

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      When the sequence of B is odered, why the formula always get minimum ? I want to the reason.Please teach me ,i am willing to know!

      • »
        »
        »
        »
        2 месяца назад, # ^ |
          Проголосовать: нравится 0 Проголосовать: не нравится

        I think you misunderstood this. Let's observe formula:

        $$$\sum_{i=1}^{k} a_{p_i} + \sum_{i=1}^{k-1} (b_{p_i} - b_{p_{i-1}})$$$

        Sum of values $$$a_i$$$ does not require any order, we can just sum them.

        What about sum of differences of $$$b_i$$$, of course, we want to minimize this sum (so that sum is not greater than $$$L$$$)

        Now, we can forget about values $$$a_i$$$ (their sum does not depend on order we choose values). But if we got values $$$b_i$$$, it's always optimal to sort them. For example, $$$b = [1,6,1,5]$$$ gives sum $$$6-1 + 6 - 1 + 5 - 1 = 14$$$, but $$$b=[1,1,5,6]$$$ gives sum $$$1-1 + 5 - 1 + 6 - 5 = 5$$$. Why? You can see abs function $$$|x-y|$$$ as distance beetween two points $$$x,y$$$ on straight line. It's easy to see, that sorting gets the minimum sum.

        Now, we can sort values $$$(a_i, b_i)$$$ by $$$b_i$$$ and choose sum values $$$b$$$ to our answer. Let's closer look at $$$b_j - b_{j-1}$$$, it's equal to $$$b_2 - b_1 + b_3 - b_2 + b_4 - b_3 + ... + b_{k} - b_{k-1}$$$, there are pairs $$$b_2 - b_2 + b_3 - b_3$$$ etc for all $$$i$$$ from $$$2$$$ to $$$k-1$$$, and now this sum equal to $$$max(b) - min(b)$$$

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится +5 Проголосовать: не нравится

          i am appreciate your reply! The words resolve my question!

          For example, b=[1,6,1,5] gives sum 6−1+6−1+5−1=14 , but b=[1,1,5,6] gives sum 1−1+5−1+6−5=5 . Why? You can see abs function |x−y| as distance beetween two points x,y on straight line. It's easy to see, that sorting gets the minimum sum.

          Also , you assist me to deepen insigth about the problem. Thank you !

          • »
            »
            »
            »
            »
            »
            2 месяца назад, # ^ |
              Проголосовать: нравится 0 Проголосовать: не нравится

            NP! (Not like NP-problems by these authors, but "No problem")

            • »
              »
              »
              »
              »
              »
              »
              2 месяца назад, # ^ |
                Проголосовать: нравится 0 Проголосовать: не нравится

              "NP" means "No problem" ? if my guess is right , it is fun and straightforward!

        • »
          »
          »
          »
          »
          2 месяца назад, # ^ |
            Проголосовать: нравится 0 Проголосовать: не нравится

          I have one more doubt. While we are selecting the l and r and checking whether the sum of elements in between them is less than l-(b[r]-b[l]), we are taking the sum of some a[i]'s, but the problem is that as soon as we fix l and r, shouldn't we also make sure that a[l] and a[r] are always there in our sum? But proceeding greedily without taking care of them is getting accepted. How is this correct? Please help me with reason why we don't need to make sure that the sum always includes a[l] and a[r].

          Thank You

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

You can solve A without n at all. You just need to find the minimum lexicographic string between the regular string, the inverted string + the usual string, the usual string + the inverted string

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

In C I am getting wrong in test case 136, with a O(N^2) approach. Can anyone tell me mistake in my code. My idea is to first select the best 2 to add in list, then add one by one other greedily, until I exceed L. https://mirror.codeforces.com/contest/1935/submission/249844943

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

in second how to prove this that if we can not separate array into two segments then it is also not possible for us to do it if the number of segments are increased ?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    If there is answer in such $$$k$$$ segments we can always reduce it into $$$2$$$ segments. So, it is not possible to find answer in $$$2$$$ segments, we won't find it in any bigger segments (if there is answer in bigger number of segments, we would reduce it into $$$2$$$ segments and found it there).

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится +5 Проголосовать: не нравится

    Let us assume for array $$$a$$$, we have a valid partition into $$$k$$$ subsegments $$$S_1, S_2, ... S_k$$$ each having $$$mex(S_j) = m$$$. If we consider merging subsegments $$$S_i$$$ and $$$S_{i+1}$$$ ($$$i < k$$$), the $$$mex$$$ of the new subsegment would also be $$$m$$$ (as it too would contain all elements from $$$0$$$ to $$$m-1$$$ but would not feature $$$m$$$). Continuing this process will lead us to partition array $$$a$$$ into any number of subsegments less than $$$k$$$.

    We can conclude that if there is a valid partition of $$$a$$$ into $$$k$$$ subsegments, a valid partition into $$$x (< k)$$$ subsegments must exist. As a corollary, if $$$a$$$ cannot be partitioned into $$$x$$$ segments, it cannot be partitioned into $$$k (> x)$$$ segments. This would prove your argument for $$$x = 2$$$.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

I solved C using DP and lazy propagation (I know overkill). Basically $$$dp[i][j]$$$ is the minimum cost to get $$$j$$$ elements in the range $$$[i,n]$$$. Let's sort the elements by $$$b[i]]$$$. In that case $$$dp[i][j] = \min_{k=i+1,k=i+2,...k=n+1} b[k] -b[i] + a[i]$$$. This so far is $$$O(n^3)$$$. We can optimize it by making a segment tree that supports lazy propagation for each $$$j$$$, however that gets MLE. If we iterate over $$$j$$$ we notice that we only care about $$$j-1$$$ so we can use only 2 segment trees. Why do we need lazy? When go from $$$i+1$$$ to $$$i$$$ , the difference between $$$b[i]$$$ and all $$$b[j]$$$ such that $$$j>i$$$ will increase by $$$b[i+1]-b[i]$$$ so we can update them using lazy propagation. The answer is the maximum $$$j$$$ such that there is some $$$dp[i][j] \le l$$$, thus the solution is $$$O(n^2logn)$$$. Code: 249828732

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can anyone help me on why I'm getting munmap_chunk() RTE on pretest 1 for Problem C? If I run each test case on the 1st pretest one by one, then there is no RTE! Submission: 249970089

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can someone help me with B i have the same idea as editorial but i dont know why iam getting WA here is my code: 249976418

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

in problem C, when i remove the max element multiset, if i use erase, i WA but i use extract, it AC. Why Ex: mst.erase(mx); (WA) mst.extract(mx); (AC) but when i use extract, my complier ERROR

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

In the author's solution to problem C, can anyone please explain how it is ensured that the end points v[l].second and v[r].second are covered in the multiset and also in the sum $$$cur$$$ (as we are simply removing values greedily)?

  • »
    »
    2 месяца назад, # ^ |
    Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

    I think if the multiset is not empty, there must be v[l+a].second($$$a>=0$$$) and v[r-b].second($$$b>=0$$$) in the multiset, so $$$v[r-b].first - v[l+a].first + cur <= v[r].first - v[l].first + cur <= L$$$

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

in problem c, if we add the 'a' value of left element to the multiset , while removing the max element arent we messing up the boundary element? like if left is 0 and its value is (a,b)=(10,1), in future if we remove 10 from multiset we r still holding 0 as left element in the remaining run of the second loop, which seems wrong to me, plz anyone help me to understand this.

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    this is my code ,the only difference is i am not adding the boundary element to multiset,i dont know why am i getting wa, can someone help me?

    for(i=0;i<n;i++) {

    ll sum=0;
            ans=max(ans,(ll)1);
            multiset<ll>nums;
            for(j=i+1;j<n;j++)
            {
                if(v[i].second+v[j].second+v[j].first-v[i].first>x)
                {
                   continue;
                }
    
                while(nums.size()!=0 && sum+v[i].second+v[j].second+v[j].first-v[i].first>x)
                {
                     sum=sum-*nums.rbegin();
                     auto it=nums.end();
                     it--;
                     nums.erase(it);
                }
                sum=sum+po[j].second;
                nums.insert(po[j].second);
                ans=max(ans,(ll)(pq.size()+1));
            }
        }
    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      found what's wrong , i assumed taking the current right element is always best , but its not the case, some times we have to skip the current right element,

      ac code

      for(i=0;i<n;i++)
          {
              ll sum=po[i].second;
              ans=max(ans,(ll)1);
              multiset<ll>nums;
              for(j=i+1;j<n;j++)
              {
                  while(nums.size()!=0 && sum+po[j].first-po[i].first>x)
                  {
                      sum=sum-*nums.rbegin();
                      auto it=nums.end();
                      it--;
                      nums.erase(it);
      
                  }
      
                  sum=sum+po[j].second;
                  nums.insert(po[j].second);
                  if(sum+po[j].first-po[i].first<=x)
                  {
                      ans=max(ans,(ll)(nums.size())+1);
                  }
              }
          }
  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    Same doubt I also have.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Why I am getting Runtime Error in the solution of C. I have checked that I am not accessing an unallocated memory. Please help me.

My Submission

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

There is a nice dp way to solve the problem C. After sorting the pairs according to b[i]. lets dp[pos][len][2] be the state. Here pos means any prefix of array dp[pos][len][0] refers minimum possible total cost of any subsequence of length len of the prefix pos and we have stopped taking new value here. and dp[pos][len][1]refers minimum possible total cost of any subsequence of length len of the prefix pos and we will take one or more element to the choosen subsequence. here is my solution link : https://mirror.codeforces.com/contest/1935/submission/249842011

»
2 месяца назад, # |
  Проголосовать: нравится +3 Проголосовать: не нравится

You don't have to use DSU or binary search machinery in problem F. You can simply join components as follows:

  1. For each component $$$u$$$ with $$$v<mx_u<n$$$, join $$$mx_u$$$ to $$$mx_u+1$$$. This joins all components extending above $$$v$$$.
  2. For each component $$$u$$$ with $$$1<mn_u<v$$$ that doesn't extend above $$$v$$$, join $$$mn_u$$$ to $$$mn_u-1$$$. Also, if there are any components $$$w$$$ with $$$mn_w<v<mx_w$$$, join $$$mn_w$$$ to $$$mn_w-1$$$ for such a component $$$w$$$ which has the smallest value of $$$mn_w$$$, unless this value is $$$1$$$. You can reason inductively to see that this joins all components which extend below $$$v$$$, either via the edges added in this step or via the edges added in step 1.
  3. This joins everything unless you need to add the edge $$$(v-1,v+1)$$$, in which case, add it.
»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

For Problem C, why are we sorting the values based on the value of b? Why don't we sort the values according to the value of A?

»
2 месяца назад, # |
Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

Has anyone done this for C?

For j such that b[j] < b[i]:

$$$ dp(i, cnt) = a[i] + b[i] + min(dp(j, cnt - 1) - b[j] & j < i) $$$

For j such that b[j] > b[i]:

$$$ dp(i, cnt) = a[i] - b[i] + min(dp(j, cnt - 1) + b[j] & j < i) $$$

Answer = max cnt over all dp(i, cnt) such that dp(i, cnt) < l

For finding min(dp(j, cnt — 1) — b[j] & j < i), use range min segment trees over compressed b[i] values. Each cnt will have its own 2 segment trees (one with +b[j], one with -b[j]). Feeling lazy to implement

  • »
    »
    2 месяца назад, # ^ |
    Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

    Update: Misinterpreted that that the chosen indices $$$p_i$$$ need to be in ascending order (Should've seen the first test case explanation smh). This trivially reduces the solution search space as you would obviously sort $$$b_i$$$ values.

    The above solution solves the problem when $$$p_i$$$ must be chosen in increasing order

    Anyway, enjoyed solving this (much) tougher variant although that required me to take 3 hours off a Sat for implementing and debugging

    Code for the variant: https://mirror.codeforces.com/contest/1935/submission/250334354

»
2 месяца назад, # |
Rev. 3   Проголосовать: нравится 0 Проголосовать: не нравится

For problem E, if n = 2 and y1 = 5 and y2 = 9 and let's consider cases when x1 = 0 and x2 = 0. If we look at the highest bit = 3, then this bit appears twice in numbers <= y2 [number 8 (1000) and 9 (1001)]. I don't think we can set all bits less than 3 in the answer. You can only pick one number out of the two. Here we choose 9. And in order to set all bits to 1 we will have to choose 6 (110) from other number which is not possible. Can somebody rephrase what the editorial is trying to say?

  • »
    »
    2 месяца назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    "Suppose we are iterating over bit $$$i$$$, then if such a bit occurs $$$c$$$ times in $$$y$$$ numbers there are several cases:"

    This $$$c$$$ means the number of times that a bit occur in $$$y$$$, not in $$$[0, y]$$$. In your example, when you have $$$y_1 = 5$$$ and $$$y_2 = 9$$$, when we are looking for the highest bit = $$$3$$$, then $$$c = 1$$$, so you put the bit $$$3$$$ in the answer. After that, the next bit is $$$2$$$, that appears once in $$$5$$$, so you put the bit $$$2$$$ in res, then, bit $$$1$$$ doesn't appears in any of them, and bit $$$0$$$ appears both in $$$5$$$ and $$$9$$$, so, the answer is $$$(1101)_2$$$.

    • »
      »
      »
      2 месяца назад, # ^ |
        Проголосовать: нравится 0 Проголосовать: не нравится

      Ok, I got confused in the language.

      Another thing is that after removing the values of $$$w_i$$$ we are ignoring the values of $$$x^{'}_i$$$ and only considering $$$y^{'}_i$$$. What allows us to do that? I believe that editorial does not explain that clearly.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Edutorial solution of problem B works without
while (mex2 && !cnt2[mex2 — 1]) --mex2; lines.

  • »
    »
    7 недель назад, # ^ |
      Проголосовать: нравится 0 Проголосовать: не нравится

    can you explain the code a little bit

    • »
      »
      »
      7 недель назад, # ^ |
      Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

      I got it now after reading the code maybe 5 time this part that you talked about is just to make sure that mex2 is correct but it's always going to be correct at this step

»
2 месяца назад, # |
  Проголосовать: нравится +4 Проголосовать: не нравится

Hey, in case any of you are looking for a slightly detailed editorial on Problems B to E, here's my attempt: https://www.youtube.com/watch?v=TrnshSV0qy0&t=5061s&ab_channel=DecipherAlgorithmswithSaptarshi

Btw I got a great comment seeking solution of C in O(n^2) (that I didn't care thinking myself because my O(n^2 * log(n)) worked during contest. But then, putting a thought, I could see that the a very common DP approach — direct Knapsack — would work in O(n^2). I'll consider uploading one video on that, as we all know how much DP knowledge is valuable in these contests.

»
2 месяца назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

e done using 2d dp :- https://mirror.codeforces.com/contest/1935/submission/250851075

clean implementation

»
6 недель назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

what is mistake in this code for problem c

include <bits/stdc++.h>

using namespace std;

define fast ios_base::sync_with_stdio(false), cin.tie(nullptr), cout.tie(nullptr);

define ll long long

define pb push_back

int main() { fast int t; ll int n, x, a, b, a1, y, j; cin >> t; while (t--) { cin >> n >> x; a = 0; map<ll int, int> m; vector<pair<ll int, ll int>> v(n); for (int i = 0; i < n; ++i) { cin >> v[i].first >> v[i].second; m[v[i].second]++; a += v[i].first; } b = ((*(--m.end())).first — (*m.begin()).first); b += a; while (b > x) { if (v.size() == 1) { v.clear(); break; } j = 0; m[v[0].second]--; if (m[v[0].second] < 1) m.erase(v[0].second); a1 = a — v[0].first + ((*(--m.end())).first — (*m.begin()).first); m[v[0].second]++; for (int i = 1; i < v.size(); ++i) { m[v[i].second]--; if (m[v[i].second] < 1) m.erase(v[i].second); y = a — v[i].first + ((*(--m.end())).first — (*m.begin()).first); if (y < a1) { a1 = y; j = i; } m[v[i].second]++; } a -= v[j].first; m[v[j].second]--; if (m[v[j].second] < 1) m.erase(m[v[j].second]); b = a1; v.erase(v.begin() + j); } cout << v.size() << endl; } }

»
6 недель назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Can someone figure what is wrong in my solution to problem c?

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

// ll MOD = 998244353;
// ll MOD1 = 1000000007;

struct box
{
	ll a;
	ll b;
};

box vt[2009];

class comp1
{
public:
	bool operator() (box n1,box n2)
	{
		if(n1.b < n2.b)
		{
			return true;
		}
		return false;
	}
};

ll sol(ll n,ll l)
{
	ll i,j,k,ans,sm,mx,mn,tmx,tmn;
	map<ll,ll> mp;
	map<ll,ll> :: iterator i1,i2;
	multiset<ll> ms;
	multiset<ll> :: iterator i3,i4;

	sort(vt+1,vt+1+n,comp1());
	ans = 0;
	for(i = 1;i <= n;i++)
	{
		mp.clear();
		ms.clear();
		mx = INT_MIN;
		mn = INT_MAX;
		sm = (mx-mn);

		for(j = i;j <= n;j++)
		{
			tmx = max(vt[j].b,mx); // finding new max of b
			tmn = min(vt[j].b,mn); // finding new min of b
			sm -= (mx-mn); // subtracting old difference of max and min of b
			sm += (tmx-tmn)+vt[j].a; // adding new difference of max and min of b along with new a
			mx = tmx; // assigning new max of b to mx
			mn = tmn; // assigning new min of b to mn
			mp[vt[j].a] = vt[j].b; // inserting new a with corresponding b in map
			ms.insert(vt[j].b); // inserting new b in multiset
			while(sm > l) // while sm is greater than l
			{
				i1 = mp.end(); 
				i1--; // finding max a
				i3 = ms.find(i1->second); // finding corresponding b
				ms.erase(i3); // erasing corresponding b
				if(ms.size() > 0)
				{
					tmn = *(ms.begin()); // finding new min of b after erasing
					i4 = ms.end();
					i4--;
					tmx = *i4; // finding new max of b after erasing
				}
				else
				{
					tmx = INT_MIN;
					tmn = INT_MAX;
				}
				sm -= ((mx-mn)+(i1->first)); // subtracting max a and old difference of max and min b
				sm += (tmx-tmn); // adding new differnce of max and min b
				mx = tmx; // assiginig new max of b to mx
				mn = tmn; // assigning new min of b to mn
				mp.erase(i1); // erasing max a from map
			}
			
			k = ms.size(); // finding size of multiset 
			ans = max(ans,k); // findind max size of multiset till now
		}
	}

	// I have tried to implement solution such that max and min b are updated in when we choose best set of a in l to r
	return ans;
}

int main()
{
    ll i,j,testcase,tn,mod;

    // freopen("ip.txt", "r", stdin);
    // freopen("op.txt", "w", stdout);
    testcase = 1;
    scanf("%lld", &testcase);
    for (tn = 1; tn <= testcase; tn++)
    {
        ll n,l;
       	ll ans;
       	scanf("%lld %lld", &n,&l);
       	for(i = 1;i <= n;i++)
       	{
       		scanf("%lld %lld", &vt[i].a,&vt[i].b);
       	}
       	ans = sol(n,l);
       	printf("%lld\n",ans);
    }
    return 0;
}

»
6 недель назад, # |
Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

Can anyone figure out what is wrong in my solution of problem c

my code:

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

// ll MOD = 998244353;
// ll MOD1 = 1000000007;

struct box
{
	ll a;
	ll b;
};

box vt[2009];

class comp1
{
public:
	bool operator() (box n1,box n2)
	{
		if(n1.b < n2.b)
		{
			return true;
		}
		return false;
	}
};

ll sol(ll n,ll l)
{
	ll i,j,k,ans,sm,mx,mn,tmx,tmn;
	map<ll,ll> mp;
	map<ll,ll> :: iterator i1,i2;
	multiset<ll> ms;
	multiset<ll> :: iterator i3,i4;

	sort(vt+1,vt+1+n,comp1());
	ans = 0;
	for(i = 1;i <= n;i++)
	{
		mp.clear();
		ms.clear();
		mx = INT_MIN;
		mn = INT_MAX;
		sm = (mx-mn);

		for(j = i;j <= n;j++)
		{
			tmx = max(vt[j].b,mx); // finding new max of b
			tmn = min(vt[j].b,mn); // finding new min of b
			sm -= (mx-mn); // subtracting old difference of max and min of b
			sm += (tmx-tmn)+vt[j].a; // adding new difference of max and min of b along with new a
			mx = tmx; // assigning new max of b to mx
			mn = tmn; // assigning new min of b to mn
			mp[vt[j].a] = vt[j].b; // inserting new a with corresponding b in map
			ms.insert(vt[j].b); // inserting new b in multiset
			while(sm > l) // while sm is greater than l
			{
				i1 = mp.end(); 
				i1--; // finding max a
				i3 = ms.find(i1->second); // finding corresponding b
				ms.erase(i3); // erasing corresponding b
				if(ms.size() > 0)
				{
					tmn = *(ms.begin()); // finding new min of b after erasing
					i4 = ms.end();
					i4--;
					tmx = *i4; // finding new max of b after erasing
				}
				else
				{
					tmx = INT_MIN;
					tmn = INT_MAX;
				}
				sm -= ((mx-mn)+(i1->first)); // subtracting max a and old difference of max and min b
				sm += (tmx-tmn); // adding new differnce of max and min b
				mx = tmx; // assiginig new max of b to mx
				mn = tmn; // assigning new min of b to mn
				mp.erase(i1); // erasing max a from map
			}
			
			k = ms.size(); // finding size of multiset 
			ans = max(ans,k); // findind max size of multiset till now
		}
	}

	// I have tried to implement solution such that max and min b are updated in when we choose best set of a in l to r
	return ans;
}

int main()
{
    ll i,j,testcase,tn,mod;

    // freopen("ip.txt", "r", stdin);
    // freopen("op.txt", "w", stdout);
    testcase = 1;
    scanf("%lld", &testcase);
    for (tn = 1; tn <= testcase; tn++)
    {
        ll n,l;
       	ll ans;
       	scanf("%lld %lld", &n,&l);
       	for(i = 1;i <= n;i++)
       	{
       		scanf("%lld %lld", &vt[i].a,&vt[i].b);
       	}
       	ans = sol(n,l);
       	printf("%lld\n",ans);
    }
    return 0;
}

Update: I found the mistake, I was using a map, instead of map I should use multimap.AC

»
5 недель назад, # |
Rev. 2   Проголосовать: нравится 0 Проголосовать: не нравится

.

»
3 недели назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Is it necessary to have this condition while (mex2 && !cnt2[mex2 — 1]) --mex2; in problem B implementation in C++, Can anyone explain this.

»
4 дня назад, # |
  Проголосовать: нравится 0 Проголосовать: не нравится

Sample solution for 1935C - Messenger in MAC should get WA due to integer overflow, but passes tests...

Hack data:

1
2 1000000000
1000000000 1
1000000000 1000000000

Answer is 1 but prints 2.