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Tutorial of Codeforces Round #586 (Div. 1 + Div. 2)

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Another solution for F: first shift the permutation so that 1 becomes the leftmost element.

now the problem can be modeled like this: don't consider the first element(1). now we want to split the new array into two parts(maybe one of them is empty) so that to minimize the maximum depth of tree of the two parts.

so first build an RMQ on the array(we are not considering element 1). now we have a recursive

`O(n)`

algorithm to find depth of a subarray:let P[i] be depth of prefix ending in position i. and S[i] be depth of suffix beginning in position i.

we know that:

`P[1]<=P[2]<=P[3]<=...<=P[n-1]`

and`S[1]>=S[2]>=S[3]>=...>=S[n-1]`

we can use binary search to find the rightmost index`i`

that`P[i]<=S[i+1]`

and there exist an optimal answer thst we split the array to`[1, i][i+1,n-1]`

or`[1,i+1][i+2,n-1]`

so check both of them and find the answer:)my solution:60808916

You can use $-brackets instead of `-brackets to show your formulae better owo

O(n) 60814844

yes you're right. but you posted on wrong position lol.

Like this? $$$\geqslant w \leqslant$$$

$$$⩾w⩽$$$

I think the complexity can be $$$O(n)$$$ in Problem D because you can find the lowest bit in $$$O(1)$$$ by bit operations. Just use lowbit function (It seems only Chinese call it lowbit?). This is my submission.

I know there is an additional log complexity because of

`map`

, but you can use`unordered_map`

instead of it.You can use something like $$$2^{i}$$$ % $$$67$$$ to avoid any maps here.

Amazing trick.. Why it's correct?

Because multiplicative inversion is unique?

Yes.

$$$2^x = 2^y \implies 2 ^ {x - y} = 1 \implies x = y$$$

($$$2^{-y}$$$ is unique and exists because $$$67$$$ is a prime)

No, but because $$$2$$$ is a primitive root modulo $$$67$$$. As a consequence, all powers of two less than $$$10^{18}$$$ give distinct remainders modulo $$$67$$$, so there are no collisions.

it's me

consider k-th bit. An edge connects only vertices with different k-th bit, so partition is clear.Can u explain me more

wrg0ababd

Me too, didn't get this proof. I hope someone elaborate.

What I get is that, Assuming initially B contained only odd edges, hence vertices would be pair of (odd, even) and hence even if you multiply by 2^k all the elements of B(equivalent to multiplying vertices by 2^k), the kth bit of vertices which was initially 0th bit(since multiplying by 2^k is equivalent to shifting) will be opposite(odd has 0th bit 1 while even has 0th bit 0).

After this However I do not get the cyclic part. Can anybody help me with that?

If you take some pair of numbers $$$(a, b)$$$ from B you can alwas find a cycle. Let's say you start at $$$0$$$ then you'll have the path $$$0, a, 2a, 3a, ..., lcm(a, b)$$$. From there you can decrease $$$b$$$ until you hit $$$0$$$ again.

E. g., if $$$a = 3, b = 5$$$, you have: $$$0 \rightarrow 3 \rightarrow 6 \rightarrow 9 \rightarrow 12 \rightarrow 15 \rightarrow 10 \rightarrow 5 \rightarrow 0$$$.

The length of the cycle length $$$len$$$ is equal to the number of ascending $$$a$$$ steps plus the number of descending $$$b$$$ steps. So $$$len = \frac{lcm(a,b)}{a} + \frac{lcm(a,b)}{b}$$$.

From $$$a \cdot b = lcm(a,b) \cdot gcd(a,b)$$$, it follows: $$$\frac{lcm(a,b)}{a} = \frac{b}{gcd(a,b)}$$$.

So $$$len = \frac{lcm(a,b)}{a} + \frac{lcm(a,b)}{b} = \frac{b}{gcd(a,b)} + \frac{a}{gcd(a,b)}$$$.

If $$$a$$$ and $$$b$$$ are both divisible by the same power of $$$2$$$, then $$$\frac{b}{gcd(a,b)}$$$ and $$$\frac{b}{gcd(a,b)}$$$ are gonna be odd, so $$$len$$$ will be even.

Otherwise, one of the terms will be even so $$$len$$$ will be odd.

Finally, you can show that you can't have odd length cycles in a bipartite graph. So solutions won't have numbers with different number of powers of $$$2$$$ in the set.

You can see it this way:

Thank you Orlandolsay.

Excellent solution,but what about cycles formed from more than 2 numbers?for example: 1 3 6 1,it is formed due to numbers 2,3,5. In this case,the formula for length of cycle =lcm(a,b)/a+lcm(a,b)/b wont be valid right?

Actually there are 2 arguments to be considered.

(i) If all numbers in a set have same power of 2 in it's factorization then corresponding graph is bipartite.

(ii) If any two number in a set have different powers of 2 in it's factorization then corresponding graph is not a bipartite.

And argument you are making is related to second one. Where it suffice just to consider a pair of number.

Hi! Do check my editorial for $$$D$$$. This was actually written as editorial was not published before and lot were(including me) were facing problem in $$$D$$$.

Link

Can someone explain me problem B please :"(

Let's denote the first three numbers in the array as a, b, c. Then the multiplication table has the following form: row1: 0 ab ac ... row2: ab 0 bc ... row 3: ac bc 0 ... So we do have the values of ab, ac, and bc given in the input. Then we can simply solve a system of equations with three unknowns and find the value of a. Then if we know a we can find all the other ones by simply going through the first row of the table and dividing all the entries by a. Hope it makes sense.

HERE

Can anyone explain E better? What is the dp solution?

See Ashishgup's solution for the problem (60806580)

Can you please explain the working? Like, just an overview of the working of the code and what does the variables 'canTake', 'best', etc represent. It'd be really helpful.

For any node that belongs to the cycle connected with the source, you can add its weight to

`canTake`

. Otherwise you can only visit only a path in the subtree of that node. We can only visit one such node. So, we keep the`best`

variable to take the node that maximizes our answer.can somebody explain problem E more clearly

In fact, problem F can be solved in linear time.Consider a new sequence b of length 2n:$$$a_1, a_2, a_3, ..., a_n, a_1, a_2, ..., a_n$$$, and build cartesian tree of it.Let T be the cartesian tree of b.

Observation 1: $$$a_{k+1}, a_{k+2}, ..., a_{n}, a_1, ..., a_k$$$ = $$$b_{k+1}, b_{k+2}, ..., b_{k+n}$$$.It can be seemed as a subsegment of length n of b.

Observation 2: The cartesian tree of $$$b_{k+1}, b_{k+2}, ..., b_{k+n}$$$ is a connected component of T.

Let b_i be the root of the connected component, which is the minimum number of $$$b_{k+1}, b_{k+2}, ..., b_{k+n}$$$. In order to the the maximum depth of cartesian tree of each subsegment, all we need to do is to get $$$d_1$$$:the depth of b_i and $$$d_2$$$:the maximum depth of $$$b_{k+1}, b_{k+2}, ..., b_{k+n}$$$ in T for each $$$1 \leq k \leq n$$$. According to Observation 2, the answer is $$$d_2$$$ — $$$d_1$$$.

Applying monotonic queue instead of RMQ, we can calculate these two things in linear time. Just get the minimum depth of them and find the answer.

wait...why the observation 2 is correct? by the way, I think the T you build by the sample is :

`1(0,5)`

`2(0,3)`

`3(0,4)`

`4(0,0)`

`5(2,6)`

`6(0,7)`

`7(0,0)`

but not all cartesian tree of $$$b_{k+1}...b_{k+n}$$$ is a connected compoent of itI must mistake your solution can you help me ? thanks a lot. :D

Can anyone explain problem B ?

`2`

`2, 4`

by dividing the first element with all the elements in the first row.We can easily get the value of the first element

`a, b, c`

Hence first element is

`sqrt(M[0][1] * M[0][2] / M[1][2])`

My solution LINK

Thanks so much bro , I read your explain after 6 months but it's really helpful , I didn't understand B from the editorial , but I understood it from you ,, I'm really thankful

<3Thank you so much... Finally, I got it.

i didn't understand exactly what problem c wanted.Anyone there to help me 'bout this??

How to prove the point is only as much as $$$O(\log n)$$$ in problem G?

Can someone please explain E with an example? The editorial is not clear to me.

The graph may have some subtrees. If you enter a subtree, you cannot leave it.Therefore, the best solution would be to start by choosing two subtrees. One for you to start the tour and one for you to complete. Vertices that are not part of a subtree can be visited without any problem. therefore you will be able to visit all. Now you need to choose two paths. These paths belong to the subtrees. These paths should have the highest possible value. For each subtree, you can calculate the highest cost of each path using dynamic programming.

Can you please walk me through an example for this problem. I've tried really hard to understand different solutions, but failed everytime. It's like i always get stuck somewhere. Thanks!

did you understand the problem? He wants to visit the cities and maximize the cost. But, he can't use the edge twice in a row.

Looking at this picture, do you agree that you can visit all the

greenvertices smoothly?Yes, I guess that I've understood the problem statement. And I do agree with you that he can visit all the green vertices, without any problem!

But if he wants he can even take, ABMNJIH or ABMODFG or ABMKLNODFG etc. Is it not? I mean, it's not necessary that he has to return to the starting point at the end of the journey. Right or not? But he just could not pass again through the city that he has already visited before. Correct me if I'm wrong.

PS: Sorry for the late replyYou are allowed to visit any city multiple times.In this example, the best solution would be to get out of some red vertex, execute all green vertices, and end up in another red vertex. Alright ?

Okay! Then?

But wait! If we are allowed to visit a city multiple times, then is it not obvious that we can visit all the cities in some way? I mean that we can visit some city and then go back and like that we can visit every city.

Yes, there is a way to visit a (green) city several times. However, this is not possible with a red city. Because we can't use an

edgetwice in a row.Oh!Okay! Got it. Then?

check your message box.

could you please explain it to me too, was reading the messages but it ended suddenly.

then what happened?

it is possible to solve F without segment tree. I solved it in O (n). Note that we can move 1 to the last position in the Array. We can then calculate the tree height on the left and right side separately for all positions where number one can occupy. accepted: https://codeforces.com/contest/1220/submission/63617810

Doubt on problem C. For the second case if i < k such that s[i] < s[k]. Updated string will be s[i,k] but, how this is lexicographically smaller? For example s = abba for k = 1, i = 0; s[0:1] = ab. But this is not smaller than s[k,k] which equals b. What am I doing wrong?

ab<b, obviously "ab" is lexico smaller than "b". Definition of Lexico : find the first letter where the string differs and check which string has smaller letter, the string consisting of smaller letter is lexico smaller

ab is lexicographically smaller than b .