Anadi's blog

By Anadi, history, 12 months ago, In English,

1043A — Elections

Tutorial
Solution

Author: FCB1234

1043B — Lost Array

Tutorial
Solution

Author: FCB1234

1043C — Smallest Word

Tutorial
Solution

Author: FCB1234

1043D — Mysterious Crime

Tutorial
Solution

Author: FCB1234

1043E — Train Hard, Win Easy

Tutorial
Solution

Author: Mateuszrze

1043F — Make It One

Tutorial
Solution 1
Solution 2

Author: FCB1234

1043G — Speckled Band

Tutorial
Solution 1
Solution 2

Author: isaf27

 
 
 
 
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12 months ago, # |
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Auto comment: topic has been updated by FCB1234 (previous revision, new revision, compare).

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12 months ago, # |
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Superfast editorials!!!

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Auto comment: topic has been updated by FCB1234 (previous revision, new revision, compare).

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There's an appearance issue in C tutorial

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Wow this G solution...

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This solution of Problem G is saying, "You need an editorial for me? Meh, just take a look at me, I don't need one."

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Author had solution for G, but this tutorial is too small to contain it.

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Auto comment: topic has been updated by FCB1234 (previous revision, new revision, compare).

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For F, you may have considered this right end part of formula: , right now it's confusing.

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Auto comment: topic has been updated by FCB1234 (previous revision, new revision, compare).

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There is one correct solution for G as scoreboard showes. Who is this one? Or it is error?

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    12 months ago, # ^ |
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    I think LHiC solved it after contest.

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      12 months ago, # ^ |
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      Thx. I think it is wrong behavior to show count of solutions that are not showing at table.

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Auto comment: topic has been updated by FCB1234 (previous revision, new revision, compare).

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12 months ago, # |
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What am I missing for problem D, 31th test case : 10 3

7 4 10 8 3 6 2 9 5 1

7 4 10 8 3 6 2 9 5 1

2 9 5 1 7 4 10 8 3 6

We have subarrays {2,9,5,1} and {4,10,8,3,6}, so I'm calculating number 26. (4*3/2+5*4/2)+length_of_array(when subbaray is one number)

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    12 months ago, # ^ |
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    Well, if you observe more closely, you'll see that the second group contains the 7, too (it appears on all of the 3 permutations!), so you get 6 elements for the second group! Answer: 4 * 5 / 2 + 6 * 7 / 2 = 10 + 21 = 31 elements.

    (note that we can include the single elements when we are calculating the answer for each group, by adding one more number. Please note that if a group is single (only 1 element), the answer is 1, because we include only that element and note that 1 * 2 / 2 = 1. This makes the calculations easier! :) )

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In problem F:

"Our answer is the smallest i such that dp[i][1] is non-zero. Since dp[i][j] can be quite big we should compute it modulo some big prime."

Can we be sure that if dp[i][j] % p is 0 then dp[i][j] must be 0 as well?

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    12 months ago, # ^ |
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    As you only need to check seven numbers probability of collision is extremely low.

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    12 months ago, # ^ |
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    You can take 2 DP arrays with different big primes, to reduce the chances of collision.

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Why is the distance in a suffix array not greater than ?

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    12 months ago, # ^ |
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    As i is defined as the maximum index, it means that s[i..r] has no suffix that is also a prefix. Thus the suffixes between l and i in the suffix array (they share at least the same prefix as l and i) must have indexes such that the distance between them is . An thus there are at most such indexes.

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In G's solution, isn't aabc == aab and bcaa == baa or did I misunderstand something?

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tex formatting is broken in G

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what is a border?

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    12 months ago, # ^ |
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    Equal prefix and suffix of the string

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I am interested in how everybody solved D.

Personally, I did some prefix hashing and then binary search on maximum length substring starting at value k for a mnlogn solution.

Some ones I've heard:

1) Some type of Map solution (a lot of people did this)

2) O(nm) DSU solution (Numb mentioned)

3) Rolling hash (anyone else did prefix hash... ?)

I'm especially interested in DSU explanation, but also I've seen some variation in how people have used map, and want to hear how you guys approached that. For example, I saw radoslav11 make some suffix automaton, which unfortunately got TLE on 36, but with some constant optimization it could work.

Please tell me about your solutions for this problem!

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    12 months ago, # ^ |
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    i made a dsu of size n, then for each pair of adjacent elements in the first permutation, i checked whether these elements are adjacent in all other permutations, if yes, i united them. So, if two numbers are in the same disjoint set, then they form a valid subarray, so i counted the number of pairs in each disjoint set and printed the sum of them.

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    12 months ago, # ^ |
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    I had a vector consisting of all pairs of adjacent numbers in the permutation and used binary search to find the count of occurance of a pair instead of using a map for keeping track of the count. I prefer doing this instead of using a map generally when the time limits are strict. My Submission

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    12 months ago, # ^ |
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    I used a revolutionary new data structure. For some people it can take years to master, but once you figure out how to use "array", you are set for life.

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    12 months ago, # ^ |
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    I just keep track of the position of each element in each permutation for a linear-time solution. See the code.

    The only observation needed is that if the first permutation's substring starting at index i is valid until index j, then the substring starting at i + 1 is valid until at least j as well.

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    12 months ago, # ^ |
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    what is difference between rolling hashing and prefix hashing? what's prefix hashing btw?

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      12 months ago, # ^ |
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      Basically you store the prefix sum of a[i]*BASE^i so that: h[i] = h[i-1] + a[i]*BASE^i

      So when you want to get hash code for substring (L, R) in O(1) you can do it like this

      (h[R]-h[L-1]) * invPow[L]

      invPow[i] represents BASE^(-i)

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      12 months ago, # ^ |
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      For rolling hash you just keep a window (actually a number to represent the window) of size k and you "pop" and "push" to slide the window.

      For example, you maintain k = 3 at i: a[i]*BASE^2, a[i+1]*BASE^1, a[i+2]*BASE^0

      You would subtract a[i]*BASE^(k-1), multiply everything by BASE, then add a[i+k] (BASE^0 is just 1)

      You could also maintain it in reverse and "divide" with modular inverses, but that's just more work.

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For F, I got accepted by a randomized algorithm with some greedy at the beginning (45016248).

  • Greedy part: remove some numbers on the array such that there is no pair on it which the one is divisible by the other one. (e.g. ).
  • Randomization part: Attempt many (e.g. 1, 000, 000) sessions to randomly pick some elements from the array until its GCD is 1 or restart if the number of elements picked is more than the best one.
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    12 months ago, # ^ |
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    What is the expected runtime?

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      The expected runtime is just a big constant for the randomization part, around O(1, 000, 000 × 50) but can change 50 to 7 or 8 as it is the maximum possible answer.

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        12 months ago, # ^ |
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        Actually, neal showed below that the expected runtime of one iteration is not 7.

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          12 months ago, # ^ |
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          We cap the 7, if after picking 7 numbers doesn't give a GCD of 1 then skip and restart the iteration.

          This number btw can be lower, as we keep track the progress of iterations.

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            12 months ago, # ^ |
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            Thanks, then it is deterministic runtime :)

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    12 months ago, # ^ |
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    Here's a test case that your algorithm will have trouble on:

    [10, 21, 6 * p for all primes p that fit]

    The answer is 2 because you can pick 10 and 21. However every other pair of numbers in this array will have a GCD greater than 1. So you only have a roughly chance of picking the right pair on every attempt you make, and n can get fairly large, over 5,000.

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      12 months ago, # ^ |
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      Ah, that's correct; I only did calculation for case of instead and found out of success. The success percentage of your case is just 4% for my program. I guess I got lucky then, ><

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I think that in the last paragraph of tutorial of problem E it should be

Similarly we have that yi  +  xj  <  xi  +  yj if xi  -  yi  >  xj  -  yj.

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can some admin link this to the problems, right now only the announcement is linked, thanks

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    12 months ago, # ^ |
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    It looks like instead of linking the tutorial, the announcement was unlinked!

    Please fix, thanks.

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There are no contests this week.
:(

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How to Solve C ?

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    12 months ago, # ^ |
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    I add 'b' to input string at last. Then if i see 'ba' or 'ab' in string then revers at that point. You can try some examples to better understanding of this approach.

    my code

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    12 months ago, # ^ |
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    Read the problem statement wrong for C. Here's that problem. The solution to my wrong assumption also works since its a subset XD. I wrote a blog abt it check it out here

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The answer is 3 if the string s is baac, bcaa or aabc

Cases bcaa and aabc don't make sense. It probably should be baca and abac.

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I solved Problem C during contest. But I wanted to know DP approach for solving it. Can anyone share DP approach to solve Problem C ?

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can some one explain c with example and telling all the cases ?

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12 months ago, # |
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Pure stl challenge for problem A :)

int n;
cin >> n;

vector<int> a;
copy(istream_iterator<int>(cin), istream_iterator<int>(), back_inserter(a));
cout << max(*max_element(a.begin(), a.end()), 2 * accumulate(a.begin(), a.end(), 0) / n + 1);
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12 months ago, # |
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I solved C with another interesting approach.

Let's have a recursive function sol(int pos, bool asc).
pos is the position (or prefix) till which we need the answer, and asc tells us whether to make this prefix ascending or descending.
The final answer is sol(n, true).

Let's call the position with the rightmost 'a' (or the minimum character in the prefix) inside the current prefix as idx. (rightmost max character in case of asc == false)
Now, to get the optimal answer, we need to flip at position idx.
But, to make sure that this flip will be optimal, we have to make the prefix before idx in descending order, so we call sol(idx - 1, !asc) which will make the prefix in the optimal descending order, and then let recursion do its job.

Base case would be when we reach the prefix of size 1, where it doesn't matter whether to flip or not.
My submission — 45069274.

UPD: It seems I have solved this problem for a regular string (without the restriction of containing only as and bs) :D
I need to read problems more carefully!

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12 months ago, # |
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Another solution for F:
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Very cool and fast editoral, thank you!

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my solution for D looks asymptotically correct but it gives TLE at testcase 36 can someone help 45130338

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Thanks!

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In problem D :-> my solution is giving tle in O(M*n), i tried to take input in one go through string which makes it fast but giving wrong answer can anybody tell me where i am wrong?

Here is my submission by simply taking the input one by one: First Submission

By taking string as input: Second submmission

UPDATE: I GOT MY FLAW!! thanx if anyone GETTING TLE USING O(M*N) TRY TO TAKE INPUT USING GETLINE IN ONE GO,IT WILL REMOVE THE TLE PROBLEM!!

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Will someone please explain problem F a bit more clearly..

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    12 months ago, # ^ |
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    You can remove the duplicates in the array and get the same result. Why? Because gcd(a,a) = a. So now let us force every element to be unique. If we greedily maximize how many element we can have it is 1, 2, 2*3, 2*3*5, ...2*3* 5*7*11*13 = 7 elements

    This means we only care about making gcd(arr) = 1 with 7 elements at max.

    So we can reduce O(n*maxA) DP to O(7 * maxA) states

    We we want to know for a number j, how many ways can we use i elements to make gcd(the i elements) = kj. This is can be calculate with combination modulo some number. We can precalculate some value mult[j] which says "how many values are multiple of j" to achieve this.

    But we want to exclude answers where k > 1, so we subtract those. This loop is actually (AlogA) because O(n + n/2 + n/3 ... 1) = O(nlogn)

    So we get O(7 * maxA * logA) complexity

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Another approach for problem F: Do a binary search first. Notice that: It's hard to determine whether a subset of size k and with its gcd equals to 1 exists directly, but calculating the number of such subsets modulo a big prime is easy: simply use the inclusion-exclusion principle(with the mobius function). Use a good prime and you'll get accepted. :P

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    12 months ago, # ^ |
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    Your approach sounds interesting. Can you explain a little more how you use inclusion-exclusion? And mobius function?

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      12 months ago, # ^ |
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      The number of ways to select k coprime elements from a multiset is sigma(mu(x) * comb(number_of_elements_that_is_a_multiple_of_x, k) for 1 <= x <= MAXA).

      You can precalculate the factorials and the inverses of the factorials of each positive integer <= n to compute binomial coefficients and a sieve to compute mu(x) and number_of_elements_that_is_a_multiple_of_x for each x.

      Time complexity: O(n + MAXA log MAXA)

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can anybody explain the logic behind problem D?

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45341495

my solution for D is WA on #7, can someone tell me what i'm doing wrong?

i'm counting for every 'i' the size of the largest array [i, i+1, ...] that is present on every array, then i sum all these values. my code returns correct results for all other testcases with small size

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11 months ago, # |
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isaf27 About problem G , why the distance between l and i in suffix array <= sqrt(n)?

and what is the second solution to check if there exists a border for [l,r]

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10 months ago, # |
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i have read some other solution for G and it's look like they don't find any tandem repetitions. Is there a easier solution for G? I think this solution is too hard to implement in contest. Tks you

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10 months ago, # |
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I don't know if this is my first time to solve D by my own.

Well my approach is a little different from others. I stored first array as it is. While for other arrays I stored the position of each element (eg. [1, 4, 2, 3] will be stored as [1, 3, 4, 2]). We will also maintain an array p of m size for storing current positions of m arrays.

Now we traverse the elements of first array. If for all remaining arrays, the position in the array for current element in first array is 1 greater than the current array position i.e. if p[i] + 1 = array[i][array[1][p[1]]] then subarray size will be incremented. In case the condition is not true and if size of common subarray is k till now then ans will be incremented to k × (k + 1) / 2 and k will 1.

Complexity is O(mn).

Link to code

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Could someone explain the alternative solution of Problem F(Solution 2) to me?

I confuse at bitmask-part in get_edge function.

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in there anybody who can explain bit-mask solution for problem F ?

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5 months ago, # |
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In G, the "finding a border" part can be done "easily" without a suffix array. The observation is that if a substring with length $$$L$$$ doesn't start with a tandem, then for any $$$K$$$, it contains at most $$$2L/K$$$ occurrences of its prefix with length $$$K$$$ -- otherwise, two of them are sufficiently close to create a tandem. I fix $$$K \approx \sqrt{N}$$$, precompute hashes of all $$$O(N)$$$ substrings with length exactly $$$K$$$, and for each query substring, check for all borders with length $$$\le K$$$, look at occurrences of its prefix with length $$$K$$$ inside it and check for each of these occurrences if the border's end half starts there. With $$$O(1)$$$ substring comparison using hashes, this is $$$O(\sqrt{N})$$$ as well.

On the other hand, I used a suffix array approach instead of Main-Lorentz, since I didn't know it.