The round has finished. I hope you liked it!
Credits to the round authors and developers:
1110A - Parity. Authored by aitch and simonlindholm.
1110B - Tape. Authored by aitch and simonlindholm, development: _kun_
1110C - Meaningless Operations. Authored by GreenGrape
1110D - Jongmah. Authored by aitch and simonlindholm, development: KAN and MikeMirzayanov
1110E - Magic Stones. Authored by aitch and simonlindholm, developed by GreenGrape
1110F - Nearest Leaf. Authored by grphil, developed by gritukan
1110G - Tree-Tac-Toe . Authored by _kun_ and KAN
1110H - Modest Substrings. Authored by aitch and simonlindholm, development: Nebuchadnezzar
And now, the editorial:
1110A - Parity
If is even, then only the last digit matters.
Otherwise is odd for any , so each digit is multiplied by odd number. A sum of several summands is even if and only if the number of odd summands is even. So we should just compute the number of even digits.
1110B - Tape
Let's start with pieces of length covering only broken segments and then decrease the number of pieces used. After reducing the number of segments by , some of long uncovered initial segments of unbroken places will be covered. It's easy to see that you should cover the shortest segments.
Thus, to make at most segments, you should cover shortest initial segments. You can find their total length using sort.
1110C - Meaningless Operations
Denote the highest bit of as (that is largest number , such that ) and consider . It's easy to see that if then holds. In this, is maximum possible, because и .
Now consider the case when . This implies , since (for all and ), hence it's sufficient to find the largest non trivial divisor of — it will be the desired answer.
Finding the largest divisor can be done in sqrt time which leads to the time or it's possible to calculate answers for all beforehand.
1110D - Jongmah
First thing to note is that one can try solving this problem with different greedy approaches, but authors don't know any correct greedy.
To solve this problem, note that you can always replace triples of type with triples , and . So we can assume that there are at most triples of type for each .
Having noted this, you can write dynamic programming solution. Let ans[i][t1][t2] be the answer considering only the first denominations, and there are triples of type and triples of type . Try all possible number of triples of type , put all the remaining tiles of denomination into triples and make a transition to ans[i + 1][t2][t3].
1110E - Magic Stones
Consider the difference array , where . Let's see what happens if we apply synchronization.
Pick an arbitrary index and transform to . Then:
- ;
- .
In other words, synchronization simply transposes two adjacent differences. That means that it's sufficient to check whether the difference arrays of two sets of stones are equal and make sure that .
1110F - Nearest Leaf
Let's answer the queries offline: for each vertex we'll remember all queries for it.
Let's make vertex root and find distances from it to all leaves using DFS. Now for answering queries for vertex we should simply answer some range minimum queries, so we'll build a segment tree for it.
For answering queries for other vertices we will make segment trees with distances to leaves (like we did for handling queries for vertex ) for all vertices. We will traverse vertices of a tree using DFS and maintain actual distances to leaves in segment tree. Suppose, DFS went through edge with weight where is an ancestor of . Distances to leaves in subtree of will decrease by and distances to other vertices will increase by . Since set of leaves in subtree of some vertex is a subsegment of vertices written in euler traversal order, we should simply make range additions/subtractions on segment tree to maintain distances to leaves when passing through an edge.
This way we got a solution with complexity.
1110G - Tree-Tac-Toe
To start with, let's notice that the white vertices are not necessary. Actually, you can solve the problem analyzing the cases with the whites as well, but there is an easy way to get rid of them:
Examine the following construction:
That is, replace the white with some set of four non-white vertices.
One can notice, that neither white nor black can win on these four vertices. That means that they are actually interested in getting the color of the end of this graph, connected to the remaining graph being of their color — it can help them later.
Let's start the game as white player and paint a vertex white. If black player will not paint the vertex black, we have a win. Otherwise, two turns have passed now and that means that the "parity" has preserved and it is our turn again. Then we can play as we would have played in the original game, except if the black player paints or in some point, we should color the remaining one (and the parity will preserve again).
———————
Now let's solve the problem assuming there are no white vertices.
Note, that if there is a vertex of degree or more, then the white player wins, maing the first move into that vertex, and then two moves in some leaves of this vertex.
In case there is a vertex of degree having at least two non-white neighbors, then it's a win as well: we can either collect a path going through this vertex or going through non-leave neighbor somewhere else.
Now, note that if there are at least vertexes of degree , this implies the case above.
So we are left with a case when there are at most three vertices of degree and all other have degree or .
It's natural to claim (and many got wa2 for that), that all remaining cases are draws. But it's not true:
It's easy to see, that this game (picture above) is winning for white. Applying the same argument, as before, we can deduce that the game above is equivalent to the game below. Which is clearly winning for white.
Actually, any path having odd number of vertices and colored in white on both ends is winning for white (make a move into the vertex colored blue on the picture below):
This actually meains, that in our solution, in which we got rid of all white vertices, the winning cases are «bones» having odd number of vertices.
It's possible to show, that in all other cases the game will end in draw.
1110H - Modest Substrings
Set of modest numbers could be represented by set of size approximately of regular expressions of form , where and are lengths of numbers and correspondingly, and are digits. Set of regular expressions can be build in the following way. Consider prefix of of length . Then for every let's make the following expression: . Similarly for , but here . Also for all we should make regular expressions , this is equal to nine expressions of our form. Notice that every modest number would satisfy exactly one regular expression and no other number would satisfy any expression.
Let's call wildcard of length tail of regular expression of form . Let's build Aho-Corasick automaton for all prefixes of regular expressions until wildcards. For every regular expression put in corresponding node length of wildcard. After that task could be solved using dynamic programming. State would be length of prefix of answer and node of the automaton. From state we can go by digit to the state , is node where leads from . Value for should be updated by value for plus number of wildcards with lengths not exceeding , placed in nodes reachable from by suffix links in automaton. This value can be calculated beforehand for every pair node and length. Asymptotics of solution is , where is size of alphabet, i.e. .
In C,
If we precalculate answers for all a=2^x−1 up to m=2^23−1
. Shouldn't it be 2^25-1?Corrected thanks!
We indeed increased constraints slightly before the contest.
Probably one of the most well written editorial i have ever seen!
Can someone please explain the solution of B in more detail?
same here
If we do not consider the constrain of maximum number of pieces that we can use than we can do it by putting 1cm piece on each and that will be the minimum So we initially start with putting 1cm piece on all..now we join some pieces to one piece so that we can decrease the number of pieces that we have add extra than the limit. and it is clear that we want to join only those which have least gap.
Suppose, We have a stick with 100 cm length and 8 broken points,
.........10.12.... .....30....35..... .......80.....86......93.........100...
Since, there are 8 broken points and each point takes 1cm, at the very least we need 8cm tape to fix them. But with the constraint of number of tapes, we will have to cover a segment instead of a point. In the process, we will end up covering some unbroken points. So, total covered points will be the broken points + the points which fall under those segments that we picked to cover due to the constraint.
Consider the following cases -
Case 1: k = 8
We have 8 tapes to use. So, there is no point wasting tape on unbroken points. Just cut 8 tapes of 1 cm, and fix the broken points. So, we are only using 8 cm of tape, no tape wasted. Cool!
Case 2: k = 7
We have 7 tapes to use. Now, we are 1 piece short. So, we will fix a segment with one tape (instead of just a point) and for rest of the broken points we can just put 1cm pieces.
So, how do we choose that special segment? The goal is to waste as little as possible tape. Looking at the pipe above, we would like to cover 10.12, just wasting a 1cm tape. This will make us to cover point 11 which is not broken. But there is no better way.
So, how much tape we are using now? 8 broken, 1cm points + 1 extra 1cm point = 9cm
Case 3: k = 6
We have 6 tapes to use. Using the same approach on Case 2, we have to pick another segment. 30....35 is our next best option, because we are justing wasting 4cm tape in the middle.
Thus 8cm legit broken points + 1cm in the middle of 10.12 and 4cm in the middle of 30....35 = 13 cm
So, we will be needing to cover up the short amount of tape, and we will choose the segments which come with little waste of tape. To find those segments, we need to list all b[i+1] — b[i] — 1, meaning the lengths of non-broken segments. Now, we will just cover the smallest (n-k) of the segments we need to.
Thanks!
Thanks a lot
Thanks for fast tutorials
can someone explain tape (2 question) in better way
hey I will explain it with help of one example; let n=10, n=35, k=5; b[i]={1 2 5 6 9 11 13 15 23 27} broken segments; 1_2__5_6___9__11__13__15________23___27_ (where you have to repair I have put that integer no.)
if you have value of k more than n (k>n), then you can easily cut the 10 segment of 1cm so it will very less tap require(only total 10cm tap required=10cm(1cm+1cm+1cm+1cm+1cm+1cm+1cm+1cm+1cm+1cm). But here the value of k is 5 so you have to cut 5 segment such that all broken part should cover.
1_2__5_6___9__11__13__15________23___27_ (where you have to repair I have put that integer no.)
now if you cut 1cm of 10 segment tap it is less tap required but you can cut only 5 tap segment because k value is 5.
so you will cut 5 segment such that segment cover max length with small tap. now a[i]=b[i+1]-b[i] So a[i]={1,3,1,3,2,2,2,8,4} so by sorting it a[i]={1,1,2,2,2,3,3,4,8} So you will repair first all that segment which are very near means 1 and 2, 5 and 6, and so on.. you can cut the tap at most five times(k value), so your target is with this five segment you have to repair the stick.
could u please explain the last point ?how should we repair,consider the test case 2 example of question which is given ?plsss
you will repair as follow value of k is 3 so youc can cut only three segment of tap in such a way the sum of segment will minimum. 1_2_4____________________________________60______________87___________________ you have cut 4cm segment so it covers 1 2 3 and 4 you have to cut 1cm it will repair 60 you cut to 1cm to repair 87 so total 1cm+1cm+4cm=6cm;
Why is that implied in this case?
When a=2^x-1,it's binary will have all bits as 1.So, a&b equals b and (a xor b) equals a-b.
Thanks for quick response!
Why is the largest proper divisor the answer? Does it relate to the Extended Euclidean algorithm?
can you explain me B part
Notice that when b is divisor of a,a-b will also be the divisor of a. So,maximum possible gcd(a-b,b)=largest divisor of a.
I think you meant that, when b is a divisor of a, a - b will be divisible by b, didn't you?
Oh...Yes
gcd(a-b, b) eqaul to b when b is factor of a.
I expected more than on G. Since it is just working with cases. The idea is obvious.
Well, yes, but there are several cute ideas along the way (that the degrees are small and and the idea about reducing the problem to uncolored vertices only, which is not mandatory to get AC, but helps greatly)
can you explain part B
But there is an editorial written already...
Ask some concrete question at least.
What I want to know is, why have people stored the differences as b[i] — b[i — 1] — 1 and added n to the answer?
Looks fine to me, basically you need to spend tape to cover the broken segments themselves ( + n in the end) and then you only care about which gapes between segments are "collapsed" into single tape part and which are not.
Got it, thank you!
Anybody solved D with greedy?
In D, Can you please explain the statement — So we can assume that there are at most 2 triples of type [x,x+1,x+2] for each x.
It means that given some x, it isn't necessary to try choosing the triplet [x, x+1, x+2] more than 2 times. Because for k > 2 (assume km = k mod 3), k[x, x+1, x+2] is equivalent to km[x, x+1, x+2] + [x, x, x] + [x+1, x+1, x+1] + [x+2, x+2, x+2].
what do you mean by it doesn't make sense ? what will happen if we choose triplet (say) 3 times ?
And how dp state is formulated ? can you describe a little bit.
As k[x, x+1, x+2] is equivalent to km[x, x+1, x+2] + (k-km)[x] + (k-km)[x+1] + (k-km)[x+2], you can use this observation to apply simple dp that tries to take a triplet [x, x+1, x+2] at most only 2 times, and gives you the same optimal answer.
so , in the optimal answer there will be no triplet like [x,x,x] ?
do we have to form triplets only using [x,x+1,x+2] . only it will give optimal answer ?
In the dp when you consider element x, you make 3 trials. In the jth trial (j ranges from 0 to 2), you try to take the triplet [x, x+1, x+2] j times (if minimum(count(x), count(x+1), count(x+2)) >= j), and you add to the jth trial's result. So basically, what is left from x in the jth trial is just consumed in the form of triplets [x, x, x].
can you explain by writitng the recurrence relation for dp ?
One possible way:
Let dp[i][j][k] be the maximum count of triplets that can be formed if you start at value i, j occurrences of value i and k occurrences of value i + 1 are consumed in the form of triplets [x, x + 1, x + 2] where x < i. And let co[i] be the initial count of value i occurrences.
For 0 ≤ l ≤ 2, if min(co[i] - j - l, co[i + 1] - k - l, co[i + 2] - l) ≥ 0, (where dp[i][j][k] is initially 0). The answer is dp[1][0][0] (Loop order: i = m → i = 1).
Why are you considering l upto 2 why not till min >=0 ?
Read my first two replies to the top level comment.
@mohamedeltair Hey can you help me to memoization this recursive solution of question D. I am able to write a recursive solution but not able to optimize it if you can then it will be a great help. link to my recursive solution link — https://codeforces.com/contest/1110/submission/49846601
thanks alot
Sir, why are you adding floor((count(x) — j)/3) to the jth trial?
Because you consumed j occurrences of x in form of triplets [x, x + 1, x + 2]. So you want to consume what is left from x in form of triplets [x, x, x] (and if 2 or 1 occurrences of x are left at the end, you will not use them). This is equivalent to taking .
Got it now, thanks !!
And Sir what will be the range of j and k in dp[i][j][k] and how?
Can anyone explain me the dp part of problem d ? its quite squeezed up.
suppose take the example of sample 1 :
10 6 2 3 3 3 4 4 4 5 5 6
**** what to do now ?
Fast editorial.Great!
Thanks for a clear and fast tutorial!
Hi everybody,
In case anybody needs practice with B, AtCoder Beginner Contest 117 had a very similar problem here.
Here is my editorial for Problem C. I believe it is easier to understand than the editorial provided here. Let me know if you have any doubts. :)
Here is my editorial for E.
Thanks a lot!! nice explanation
In C, if a=2^x . Then as per "Denote the highest bit of a as x (that is largest number x, such that 2^x≤a) and consider b=(2^x−1)⊕a. It's easy to see that if a≠2^x−1 then 0<b<a holds." b=2^(x+1)-1. which does not hold in between 0 and a.
It's probably a mistake. I think b should be .
Thanks a lot !
I was wondering for a long time until I found that it's a mistake
Has anyone solved "D" using greedy approach? If yes, can you please share!
how to dp in AC automaton? how to calculate the answer of all the current suffixes? Could you explain in details. thanks _kun_
In meaningless operations problem C, for those who find the first two lines very cryptic, they are saying take b as the complement of a (only from the MSB(a) to bit 0), so, a & complement(a) = 0 and a ^ complement(a) = 2^MSB — 1 (full 1's)
Thank You for a great tutorial. Can somebody explain part c tutorial? specifically, the part when a = 2^x-1. In that how is a xor b = 2^x-1-b and similarly the and part? Can somebody please explain using an example? Thank You very much!
In C, we denote x as 2^x <= a, but then the explanation states the following: "consider the case when a=(2^x)-1". Could someone explain what they exactly mean here?
It should read "consider the case when a=2^(x+1)-1". I was also confused by that. Basically, a is a string of 1s in binary.
Can anyone explain The above D solution statement more clearly??
can someone tall the c++ codes for 2nd and 3rd question, maybe with comments and steps will be more helpful
You can view the submissions of other contestants. Just go to the "standings" page of the contest and double-click the cell along the row of the name of the contestant and the column of the problem you are interested in.
I think in C editorial, meaning of x should be the smallest number such that 2x > a.
Thanks for the editorial. I didn't realize the editorial was already out, cause I didn't see the "Recent actions" so much. Adding a link to the original announcement blog post ( http://codeforces.com/blog/entry/65059 ) would be helpful :)
first problem can be made difficult if we increase the constraints of the problem i.e 1 < a,b,k< 2^32 — 1
In fact, we can use a simple way to solve the problem C.
Although this way is not very good.
Can anyone explain me the intuition behind the process in problem E ? Its hard to come up with such an idea
This comment and read the editorial to the problem: http://codeforces.com/blog/entry/65059?#comment-490669
It's not obvious to me how to come up with such idea, it just seems like its a tricky known technique :S
Thank you. Just saw the AtCoder editorial of the similar problem. Well, tough to solve such problems untill you are aware of the technique. Anyways thanks for the clarification :)
could somebody explain the tape problem considering n=5 k=3 broken segments=[1 2 4 60 87]??pleaseee
Please correct me if I'm wrong but it seems that in C the given editorial solution leads to wrong answer. For eg. if a=11 then given solution would give b=12. Instead it should have been b=4 (which we get by complimenting binary rep of a=11, considering significant bits).
See this: https://codeforces.com/blog/entry/65079?#comment-490920
Can anyone please explain the solution to D in more detail? (Like the exact dp equation and its initial values) My mind got a bit mixed up...
I think this blog will help. https://codeforces.com/blog/entry/65092
Could someone explain how to come up with such a dp state in problem D?I'm curious because I can't figure it out.
Can someone elaborate more on E? I can't quite understand why this equations proves that you need to check array difference.
Hello!You can try some more complicate examples to find that it's obvious that the array difference with the first and the last number determines the result.By the way, there is a conclusion:if you can exchange any two neighbor elements in a array, you can obtain any permutation of this array.I help this helps:)
Yes, thank you. In meantime I figured it out.
I don't know but I feel that for every question if they had attached an easily understandable code according to the logic explained then that would be very much helpful for us(at least for me )
please someone elaborate more on F
I was trying to solve problem 1110F - Nearest Leaf offline, using centroid decomposition but is giving me TLE 49838550, any ideas? I know it might sound as an overkill but still it's complexity is something about O(NlgNlgN + QLgNlgN). thanks
In Problem B, we will calculate the differences between every two adjacent broken points and store them in a sort array of size n-1. Now lets assume that we need to cover all the broken points with one piece of tape. For this the answer will be [difference of first and last element of the given array + 1] . Now we will optimize the answer as we have the chance to us at most k pieces of tape. We will subtract [x-1] form the answer for each of the last [k-1] elements of sorted array (where x is an element of the sorted array).
Code Snippet
In question 1110A-Parity , can someone explain what is the error in my code :
It is giving wrong answer in one of the test cases.
For the sake of precision, don't use pow() with integers, ever.
Problem D.
Why does my solution in java fails in memory if it uses just MAX*5*3 of integers? https://codeforces.com/contest/1110/submission/51139125
GreenGrape For the Meaningless Operator problem there is a need for some edit, whena=2x−1 and a is prime, the output is 1, which is not a non-trivial divisor. You need to mention that separately.