A
Научимся определять расстояние между точками. Далее, зная, что время — это расстояние делить на скорость, будем определять время для каждого таксиста, за которое он сможет доехать до Василия. Ответ это минимальное из времен.Не забудем про double.
Асимптотика O(n).
B
Пусть c[x] — количество магазинов в которых цена за напиток равна x. Посчитаем для этого массива префиксные суммы. Далее возможные следующие варианты:
1)Если текущее количество денег у Василия больше, чем размер массива с префиксными суммами то выводим n.
2)Иначе выводим префиксную сумму для количества денег, которое сейчас у Василия.
Асимптотика O(q+n).
C
Будем решать задачу динамическим программированием. dp[i][j] это минимальное количество энергии, которое надо потратить чтобы расположить первые i строк в алфавитном порядке и i-ая из них будет перевернута если j=1 и не перевернута если j=0. dp[i][j] обновляем через dp[i - 1][0] и dp[i - 1][1]. Остается проверить, что i-ая строка лексикографически больше (i - 1)-ой(если j=1 то проверяем перевернутую i-ую строку, аналогично для (i - 1)-ой). После чего обновляем dp[i][j]=min(dp[i][j],dp[i - 1][0]+c[i]*j), dp[i][j]=min(dp[i][j],dp[i - 1][1]+j*c[i]). Ответ это минимум из dp[n][0] и dp[n][1].
Асимптотика O(n+sum_length).
D
Каждое число из множества будем хранить в двоичной системе счисления(каждое число будет состоять из 32-х 0 или 1) в такой структуре данных как бор(рёбра — это будут биты 1 или 0, а вершины будут отвечать за то, можно ли пройти по текущему ребру). Чтобы ответить на запрос типа "? x" будем спускаться по бору от старших битов к младшим и смотреть можем ли мы сейчас ксором в i-м бите получить единицу, если можем, то переходим, иначе идём туда, куда можем идти.
Асимптотика O(q*log(10^9)).
E
Обнесем матрицу рамкой из фиктивных элементов. В каждом элементе матрицы и рамки храним значение элемента номер элемента соседнего справа и номер элемента соседнего снизу. Когда приходит запрос поменять местами прямоугольники надо поменять значения элементов только по периметру прямоугольников.
Асимптотика O(q*(n+m)).
Problem B can be easy solved using Binary search
I think it's so classical binary search problem
you can copy it's code simply from google!
lol
will it not be the case then complexity is more. log(n) for each search. so time complexity qlog(n), also for sorting nlog(n). so finally time complexity = max(nlog(n), qlog(n)).
Yeah, but the idea is more obvious to some of us, and the code is really really simple, too.
http://www.codeforces.com/contest/706/submission/19794976 Got tle using binary search !
Binary Search in cpp worked just fine!
The problem is here
What if there are multiple values for key in binary search ( java) ?? What does the method return ? ( i assumed any one of those values)
It randomly returns any index of the number you are currently searching for
So there is no workaround for finding the end range of a value other than lineaely traversing in one direction after bin. searching ????
I guess you can easily modify the normal binary search to return first value greater than the target. Hint: https://www.geeksforgeeks.org/first-strictly-greater-element-in-a-sorted-array-in-java/
I don't even have to implement binary search. Just straight using sort() and upper_bound() function in c++.
same
No , i tried to solve it by binry search and I got TLE.
I got accepted with binary search on bits.
Yes i just saw an answer solved by binary search. I was actually using simple iteration to check how many elemants were equal to the given query because of which i was getting TLE.
please share your solution
lol he's been inactive for 7 years
Your hands are crooked.
Excuse me, why would you say that?
I mean that if your solution with binary search gets TL, you do something wrong.
Yes, I already said that in one of my above comments.
orz
Как можно решить задачу D не используя Бор? Слышал что можно решить деревом отрезков.
Заранее спасибо :D
Я так думаю имелось ввиду дерево отрезков, которое в точности отображает работу бора в этой задаче, точнее им же и есть, просто интерпретируй вершину не как i-бит а отрезок размера 2i. Код абсолютно такой же, просто название другое.
Можно про решение деревом отрезков поподробнее?
Построим дерево отрезков на промежутке [0;230 - 1], только храним дерево не массивом а указателями, так как некоторых вершин не будет в принципе. Теперь можем заметить, что когда мы находимся на высоте h + 1. (Высота корня — 30) то если мы идем в левого сына, то все числа на этом отрезке будут с ноликом на бите h, если вправо то с единичкой в бите h. Ну к примеру с корня можем пойти в [0;229 - 1] и [229;230 - 1] , все числа на первом отрезке имеют нолик на 29 позиции, а на втором отрезке — единичку. Таким образом, если мы идем влево — ноль, вправо — единичка. Дополнительно стоит хранить количество чисел на отрезке, и тогда если пришел запрос добавить число или убрать число то мы как в обычном дереве отрезков прибавляем 1 или отнимаем 1 от соответствующего элемента, а когда запрос максимума то жадно спускаемся и пытаемся на высоте h идти в бит противоположный чем в числе y, если не можем пойти (кол-во чисел == 0), то идем в такой же бит. Но тот же самый бор, просто обозвали иначе.
сам сдал бором, но еще вижу решение отсортированным сетом (пока предположим, что каждое число встречается не более раза, переход от сета к мультисету зависит уже от языка). В сете хранятся текущие числа, при выполнении запроса, нужно сделать аналог спуска по бору, и проверять не наличие вершины с соответствующим бита, а наличие чисел в сете в определенном отрезке, начиная с [0, 2^31-1] и по мере спуска модифицировать его
у меня такое зашло
хранишь в мультисете значения, по + просто запихиваешь их туда, по — просто вынимаешь один, а по запросу — инвертируешь число х и пытаешься по сету аппербаундами найти число, наиболее похожее на это O(qlog(10^9)log(n))
"пытаешься по сету аппербаундами найти" — можете объяснить, что это значит?
сет — структура данных set st
аппербаунды — st.upper_bound(value), лень было писать на английском тогда
Спасибо!
Слишком короткий(унизительный) разбор.
После прочтения кажется, что ты тупой.
Я после каждого разбора чуствую себя тупым :D
этот момент, когда разбор задачи Е длиннее только разбора задачи А
Don't understand the approach for E ! Can someone explain it better ?
This problem is an exercise in Linked Lists: store the matrix as a 2D array of elements each of which has links to its upper, lower, left and right neighbours. To swap two rectangles you only need to consider their borders. Tear the rectangles off from the matrix by erasing the needed links (i.e. erase all upper neighbour links to tear the upper border of a rectangle) and stitch them back in each other's spots. Note that you lose the ability to ask for a cell in (r, c) by a 2D array lookup but should instead start from the upper left corner and walk r down and c right links.
To avoid null pointers, surround the matrix by a frame of fake cells, as the editorial suggests.
Example solution: http://codeforces.me/contest/706/submission/19808792
One thing to note about swapping submatrices is that the actual submatrix "structure" doesnt change, take a look at the following masterpiece (orange is left neighbour, red is right, blue is up, and green is down).
so say i swap the top left 2x2 submatrix(1,2,5,6) with bottom right 2x2 submatrix(11,12,15,16). the INTERNAL arrows never change, because the actual submatrices still have the same elements. However, the perimeter arrows change, because we now have new neighbours due to swapping matrices. In order to fix the structure, all we have to do is swap the corresponding perimeter arrows, so for example 15 green arrow will point at 9, 12 red arrow will point at 3 etc.
hope that helps!
I received TLE on test case 54, I wonder if I am missing some optimization of the linked list or it's just because of poor implementation?
http://codeforces.me/contest/706/submission/19831761
UPD: Turns out it's just because of poor implementation, changed the iteration method to reduce iteration time and it managed to slithered through the TL. http://codeforces.me/contest/706/submission/19832612
Help with solving E needed, I got TLE on test 10 all the time, could anyone explane why does it give TLE? Check the last submission pls http://codeforces.me/submissions/GuralTOO
Got rid of TLE, by simply using scanf/printf now have trouble with WA..
Check your nested for loops, some of them are for looping n then n, rather than n then m (which explains why you get WA on that testcase, because its the first one where n<m, so some ids arent assigned).
Man, thank you a lot, was typing fast, so didn't notice.. that fault, thank you again
why this submission: 19811194 gets memory limit exceeded?? It's memory complexity is O(q lg MAXa) which is ok for this problem!
i am not sure but maybe this is the reason :
you are right about O(q*logMax) but here you have a constant like 2*5=10. 2 because of creating both nodes at each step not just one. 5 because of struct size (pointer size is 32 bit).
Thanks for a really awesome problem set. Really enjoyed the contest.
Isn't complexity of D just O(q)? That log factor is constant.
Btw, u can solve D without any data stucture, finding bits from most significant one with lowerbound on set. The main idea is the same, but u don't have to know trie. Here's my code — 19807490, complexity is O(q*log(q)).
please be more specific on your binary search on set please?
Ok, look. First of all we have l = 0, r = maximal value of unsigned int. y = bitwise negation of x — best-case scenario for xor, our reference point. We look over bits of y from 31th to 0th.
If pth bit is set (y & (1<<p)), we'd like to set that bit in our answer. We can use lowerbound to find out if set contains at least one number in range [l+(1<<p), r]. It can't be less than l+1(<<p) or greater than r, because we have to satisfy assumptions about more significant bits we've made before (l, r), and also we want pth bit to be set (1<<p). If we satisfy that condiotion, then [l, r] becomes [l+(1<<p), r], otherwise it becomes [l, r-(1<<p)].
If pth bit of y is not set, we don't want to set it in our answer. We use lowerbound to check if set contains some elements in range [l, r-(1<<p)]. If it does, we set r to r-(1<<p), otherwise l becomes l+(1<<p).
After loop we have l = r, and we output this number xor x.
This is a beautiful solution :)
У меня почему то в C WA 12 хотя все как в разборе
Руки кривые.
Лучше бы причину ошибки человеку написал.
Ну в у вас в пересчете динамики полный отстой написан. Посмотрите на мой код. А еще у вас функция r за квадрат работает
In the explanation of problem D, what does RRF mean?
i have problem with time complexity analysis of problem C. let us do worst time complexity analysis. for each case say we have to reverse . reverse function has linear time complexity and for each case we are reversing hence time complexity should be O(n^2) or 10^5 * 10^5 = 10^10.i think then this algorithm should get time limit exceeded verdict in test case where reverse permutation of a string of length close to 10^5 is used.
From the problem statement:
The total length of these strings doesn't exceed 100 000.
Yeah: the reverses and comparisons will alltogether be O(n), or amortized O(1).
Also imagine that your worst case was possible, it would mean that each string has 10^5 characters, which means you couldn't even input the input without getting TLE.
I have a solution for problem C that does not need DP 19812078:
It basically "tries" both the string and its reverse against all possible previous choices.
So you only store the last row in your DP
Exactly: it's still the same logic as the regular DP.
Ah, you are right — now I see the similarity. Atleast when I was writing the code, I did not think I was doing DP :)
Brute force would be if you also went all the way back to the first string when trying an option for the current one. Using the fact that the previous string is enough (and storing the corresponding scores) makes it DP :))
Hi, last night I misunderstood the problem C:
they said "total length of the strings <= 100 000"
but I thought "length of each string <= 100 000"
So I came up with the idea "how to compare 2 strings only in O(log(length(string)), and we also don't have to reverse it in O(length)", based on binary search. Thus, the general complexity is O(qlog(length))
So I wrote a "compare(string s1, string s2, int type)" function:
type = 1: compare non-reverse s1 and non-reverse s2
type = 2: compare non-reverse s1 and reverse s2
type = 3: compare reverse s1 and non-reverse s2
type = 4: compare reverse s1 and reverse s2
Then I submitted and got WA, so I hope somebody could take a look at my submission and point out what I was wrong. I'm sure I got wrong in my "compare" function because when I use standard "compare" and "reverse" functions of C++, I got AC ( of course the complexity now is O(length) ).
Ty in advance.
My submission: 19808155
Binary searching like this is wrong, because comparing the middle of two strings doesn't tell you anything about the characters before it or after it. You should compare entire prefixes of the strings, and to do so efficiently you'd need hashing, but that means that before the binary search you'd already do O(length) operations for the hashing.
How do we prove the solution to B is correct ?
By greedy, you want to buy the X-cheapest items available anyways.
I still dont understand prob C. Is the dp actually like brute force? wont it take O(2^n)?
also, in prob D I tried something like putting in integer form in list. I dont understand what the editorial says when it says to put in binary.
(I am new to codeforce!!)
dp isn't brute force. You update dp[i][0] and dp[i][1] in O(s[i].length). So total complexity is O(sumLength).
The point of dp is to memorize previous choices that won't be affected by later choices, so that we could save the time for computing the previous choices again when we proceed to later choices.
In problem C the states store the value of previous computed strings, since it is guaranteed that it all the previous strings have been ordered in lexicographical order (or just set the value to INF if it is impossible to do so), you only have to compare the latest string to the reversed or the original string to check the minimum costs of following the lexicographical order.
For problem D I can't find your submission so I don't know what exactly got you, but I suppose that you have completely no idea of what the editorial is doing.
The solution is to build a tree/trie, that stores integers in binary form (eg: 5=101(2), 7=111(2) ). You have to maintain the amount of values in the subtree in order to answer the value.
If you don't know about Trie, or even some other tree structures like BIT(fenwick tree), read them before solving this problem, or else you will have absolutely no idea what I am explaining.
After building the trie of the multiset, you have to check 1. if there is an edge to the left child(0) and the right child(1), and if the left/right child is empty (cnt==0). Make the optimal steps upon visiting each nodes, and sum up the values of xor for the query results.
I'm still learning DP, so confused about problem C.
We both know if we want apply DP to some problem, the problem must meet several conditions.One is that it must have optimal sub-structure. One is that the sub-problem has non-aftereffect property.
So here is my question, if we already solve the first
i
query, but thei+1 th
string is smaller than thei th
but the costc[i+1]
is too big, then we should not reverse thei+1 th
but modify the firsti
string, how's that meet the optimal sub-structrue and non-aftereffect property? Because thei+1 th
string has a big influence on the answer we've already calculated before.I don't know where I get wrong, thanks for your help.(sorry for poor English
I have solve C using dp , but getting wrong answer. Can someone help me to debug.... I use dp1[] for reverse string and dp[] for simple string. ~~~~~ ..
#define For(i,st,ed) for(i=st;i<=ed;i++)
const ll mod=1000000007;
//Main
int main() { ios_base::sync_with_stdio(false);cin.tie(0); int test=1,i,j,n,tt;
}
~~~~~
Side note: My personal way to set the INF for long long is (1LL<<60), I have also seen some pretty good ways such as "1234567890123456789012345LL"
Or just use scientific notation, eg: 1e9 + 7 or 1e18. I think it's more understandable and not as much error-prone as "1234567890123456789012345LL"
1e9+7 and 1e18 are without doubt great ways to do it too, it's just a personal preference after all. =D
Explain prob D more properly plz . Whats RRF?
19825442 is my commented solution(C++) for you. You can do it easily with map. Time Complexity: O(q*31*log2(10^5)).
more explained submission: 19825804
По моему разбор Е неполный и не отражает в действительности решения автора задачи. Можно попросить ссылку на код?
Я сейчас долго писал примерно то, что написано в разборе и оно никак не работало. В итоге додумав решение из разбора получилось вот что: для периметра прямоугольников меняю местами ссылки на соседние элементы справа и снизу. Только для левого ребра я меняю местами значения элементов (потому что я восстанавливаю ответ через соседей справа, если бы восстанавливал ответ через соседей снизу, то нужно было бы менять значения для верхнего ребра). Вместо того, чтобы менять местами значения, можно было бы их вообще не трогать, но тогда нужно было бы найти соседние элементы слева от левого ребра и у них поменять местами ссылки на соседей справа. Но (!) самое важное, о чем не написано в разборе, надо "дойти" до прямоугольников. Нельзя просто так начинать что-то менять. Нужно от дополнительной рамки двигаясь вправо и вниз по соседям добраться до прямоугольников. Лично я до этого не сразу догадался, а спустя почти 2 часа.
Вывод: разбор можно было написать и по подробнее.
UPD: Описанное выше решение у меня так и не удалось довести до ума, а именно — избавиться от ошибки исполнения. Вместо этого я упростил это решение. Двигаясь от рамки я дохожу не до самих прямоугольников, а до рамки вокруг них. И соответственно для верхних рёбер рамок я меняю местами ссылки на элементы снизу, для левых рёбер рамок я меняю местами ссылки на элементы справа. То есть я обеспечиваю "вход" в прямоугольник. Для обеспечения "выхода" нужно произвести замены для нижнего и правого рёбер прямоугольников. Значения элементов матрицы при этом вообще не подвергаются изменениям.
Can anyone please explain the D solution in more detail or from another perspective?
Quora — Trie
The link explains some tricks using tries, including what you need to solve D
What does the announcement mean ? "The lexicographical order is not required to be strict, i.e. two equal strings nearby ARE ALLOWED."
That means it's still ok if s1<=s2 , it's not required for s2 to be strictly than s1 (i.e. s2>s1) to be considered as being ordered lexicographic-ally.
Автор решений к задачам, а вам известно о наличии встроенных функций hypot, reverse и операторов <= , < и тд для строк?
Link for Solution of problem C gives error
click top-right link!!
Solution for D with
std::multiset
: just like in solution with trie, for the ith bit, first we try to get 1, if it's not possible we will get 0. But we can check this usinglower_bound
.Code: 19826426
The solution for problem E is just beautiful :)
5^0 = 5
"You are given q queries and a multiset A, initially containing only integer 0"
the set initially has a 0 and 5 XOR 0 = 5
Just use upper_bound for 2nd question
cout << (upper_bound(v.begin(),v.end(),m)-v.begin())<<endl;
If anyone is interested in practicing problems similar to problem D, here is a question I realized that the solution is quite similar to problem D.
282E — Sausage maximization
I just want to make something sure about problem E. a)Swapping two rectangles like the red and green one is not allowed, right?
b)And if such an operation were allowed, would there be an efficient method to solve this problem?
update: solved it. So, I am clear about (a). So if anyone could tell me about (b)...
I have never implemented this but I think this may work.
1) Keep two vectors of coordinates of the perimeter, ordered corresponding to their position.
2) When swapping, check if the block next to the swap is occupied by another block. If no, just do the operation required for E. If yes, check for the corresponding position in the original block, and link it to it.
Keeping the difference in position of the blocks should help speed up the look-up process to O(1), so the whole algorithm should work in O(n).
This is not applicable for overlapped blocks though.
Does anyone have an idea for problem E in O(qnlogn) ? With data structures like segment tree?
yeah that what i thinked of i think it's possible to do it with 2d segment tree with lazy propagation and it will be q*log^2(n)
For the 1-dimensional version of Problem E, is there a solution with faster than linear time swaps?
So in the 1-dimensional version, instead of swapping rectangles in a matrix we're swapping ranges in an array: each task is (a, c, w) and we want to swap the values in [a, a + w) with the values in [c, c + w).
And with n items and q swap queries, we want an O(q * logn + n) algorithm, or just anything faster than O(qn).
With the linked list solution in the post (which is super cool to me!), in the 1-d case it takes O(n) to find the rectangles, even though it's an O(1) swap after finding
I was trying to do something with a binary search tree: each range corresponds to <= logn nodes in the tree, so maybe you could swap ranges by swapping only those logn nodes somehow, and their sub-trees would automatically come with them.
The problem is that the ranges don't "line up": I somehow managed to convinced myself this wasn't really a problem, but I was totally off, and it is a serious issue, as far as I can tell.
Anyway, yeah, is there a quicker solution to the range-swapping problem? I.e. like an O(n) size data structure on n items which supports fast range swaps?
EDIT: answer to question = yes treap
weaker guarantees than with treap i'd guess, but i think a skip-list would work too with high probability. You can find ranges quickly and then edit O(# lists) = O(log N) pointers.
Treap makes swaps in O(logN)
EDIT: I'm not sure if what I said below really even makes sense actually; I'll think about this for a bit/try to understand treaps better.
EDIT2: Okay I sort of get how the treap might work, although I'm still not sure how it'll necessarily stay balanced after lots of swaps (with high probability I guess? or it happens only after many swaps, so you can amortize any rebalances if they're needed or something).
Thanks a lot for the response! I didn't know about treaps, they're really cool!
But I don't see how a treap would do it though. This is how I imagine a treap approach would go:
You construct a treap on [0, n), say as a balanced BST (and then assign the corresponding priorities).
And then on a query (a, b, w) with a < b, you split the treap into 5 smaller treaps, t1=[0, a), t2=[a, a+w), t3=[a+w, b), t4=[b, b+w) and t5=[b+w, n)
Then we merge them back together in the order t1, t4, t3, t2, t5.
Splits and merges are fast, so this should be fast..
But: naively, in order for the treaps to be merged correctly, you'd need to update the priorities of every node in t4 & t2, which would take linear time.
Maybe there's a way to store these updates to the priorities in a more succinct/clever way, but I don't see it. (of course I might be missing something!)
Why this solution of problem D got RE? Help me, please.
edit : found my mistake
hey guys I'm getting WA on test 91 in problem D and i have no idea why. can anyone help me? this is my submission http://codeforces.me/contest/706/submission/20033141 i would really appreciate it
Hello everyone!
Can you help me why I get TLE for Problem D? Here is my submission : http://www.codeforces.com/contest/706/submission/20083814 I used binary search between lo and hi, which are iterators that contains maximum values. But it got TLE on test#2. I think it's because of case when lo > hi, but I can't find out when.
Thanks in advance
std :: lower_bound works in linear time for multiset\set so use s.lower_bound(x).
Oh! I didn't know that! Really appreciate your answer _index :)
Please fix problem D solution!!
I wrote about Problem C in this post here. It's an enjoyable DP question.
Hello Everyone, For the Problem C, I was getting Wrong Answer on test case 18 when I was setting dp[i][0] and dp[i-1][1] to LONG_MAX but when I set it to (1LL<<62) then I was getting Accepted verdict. But (1LL<<62) is less than LONG_MAX. Can anyone explain me the reason for it. Thank You in Advance. WA with LONG_MAX https://codeforces.me/contest/706/submission/48478924 AC with (1LL<<62) https://codeforces.me/contest/706/submission/48479243
Update: I found out that on my system LONG_MAX is 2^63-1 and is equal to LONG_LONG_MAX but on online judge it is different and LONG_MAX is 2^32-1
Thanks. Same issue.
Why am I getting this message when I click on the solution link in problem E.
404 Not Found
For question D:https://codeforces.me/contest/706/problem/D
Can someone explain logic behind this submission https://codeforces.me/contest/706/submission/19826426 ? It seems extremely simplistic and doesn't seem to use tries.
https://codeforces.me/contest/706/submission/84959926 Please help,I am trying to do with tree,and not able to understand why MLE is coming on last test case
Some Please help me why I am getting WA Thanks in advance submission Link https://codeforces.me/contest/706/submission/110031654
Please help Me I am getting WA on Problem C TC-8 link :https://codeforces.me/contest/706/submission/110875540 Update: Got AC by using a user defined string comparator insted of integer compairing operator
Solution links have broken down, kindly do the needful.
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