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awoo's blog

By awoo, history, 3 years ago, translation, In English

1473A - Replacing Elements

Idea: BledDest, adedalic

Tutorial
Solution (Neon)

1473B - String LCM

Idea: BledDest

Tutorial
Solution (Neon)

1473C - No More Inversions

Idea: adedalic

Tutorial
Solution (adedalic)

1473D - Program

Idea: BledDest

Tutorial
Solution (awoo)

1473E - Minimum Path

Idea: Neon

Tutorial
Solution (Neon)

1473F - Strange Set

Idea: BledDest

Tutorial
Solution (BledDest)

1473G - Tiles

Idea: Neon, adedalic

Tutorial
Solution (Neon)
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3 years ago, # |
  Vote: I like it +67 Vote: I do not like it

The terminology of using "path" for problem E was a bit misleading, since path is normally defined as a walk in which all vertices are distinct, which may not be necessary in this case. Would have given greater clarity if "path" was defined within the problem.

Otherwise, great problem with an even better solution.

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    3 years ago, # ^ |
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    Completely agreed. I spent 30 minutes wondering how to eliminate repetitive edges during the contest (that would be a much harder problem, I believe). Since the term "path" is redefined, it deserves a more detailed distinction.

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      3 years ago, # ^ |
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      Can you please tell about time complexity for $$$E$$$. My doubt is regarding when graph will be like simple line then for $$$i^{th}$$$ vertex we will have $$$i_{C_2}$$$ many possible value of triplets for $$$i^{th}$$$ node so wouldn't it will go $$$O(n^2)$$$?

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        3 years ago, # ^ |
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        Let's count the number of vertices in the new graph. Since each vertex is defined by 3 independent values, the number of vertices will equal to the product of numbers of possible values. So, the first value is the number of vertex, so there are $$$n$$$ possible values. Every flag has 2 values, so there are only $$$4\cdot n$$$ vertices in the new graph. Without thinking much you can find an upper bound $$$16 \cdot m$$$ for number of edges. So, time complexity of Dijkstra algorithm on the new graph is still $$$O(m \log n)$$$

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          3 years ago, # ^ |
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          Ohh my bad. Thanks. We are not maintaining the edge removed/added instead we are using flag. Thank you!

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    3 years ago, # ^ |
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    Interesting... In portuguese a "walk" is a "path" and a "path where no vertices are repeated" is a "simple path".

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    3 years ago, # ^ |
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    There exist cases that passing one edge more than once would decrease the total weight?

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      3 years ago, # ^ |
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      4 3
      1 2 10
      2 3 1
      2 4 10
      

      Solution is 3 2 13

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        3 years ago, # ^ |
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        Oh! So the solution never pass the 4*n vertices more than once but may pass original vertices more than once. Thanks.

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    3 years ago, # ^ |
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    .

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3 years ago, # |
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fixed

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3 years ago, # |
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3 years ago, # |
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I know this will sounds biased, but is n = 1000 necessary for G? I've read the official solution, and assuming that the constant factor of NTT is 1, then that solution would require somewhere around 9e7 operations in worst case (which is something around multiplying 2 polynomials of size 5e6). Of course, the official solution runs in a mere 654ms on the hardest test, but it kills pretty much any recursive NTT solution. (I swapped the solution's NTT with an recursive NTT, and it TLEd on custom invocation on the hardest test, and Codeforces gives 15000ms on custom invocation.) While using recursive NTT itself is folly, I've yet to seen a NTT problem on Educational rounds that forces the participant to use iterative NTT. Which leads to the original question: is this problem intended to introduce iterative NTT to more experienced participants, or was it just an overtly pushed limit to fight brute force?

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    3 years ago, # ^ |
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    I wouldn't call it overly pushed.

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      3 years ago, # ^ |
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      Wait, so brute force actually pass lower limits? o_O

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3 years ago, # |
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During the contest , what was your lane of thought while solving C ? How you approached it before reaching to the solution?

I saw that even SecondThread (in his screencast) and nskybytskyi (in comments) misread the problem C twice and same happened with me . Finally i wrote brute force and observed the pattern and passed somehow.

Though after seeing the solution it doesn't seems to be difficult , we just needed to observed that in palindrome number of inversions would remain same.

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    3 years ago, # ^ |
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    I just figured out the number of inversions for the original array, messed around a bit and noticed the pattern, and tried my luck lol.

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    3 years ago, # ^ |
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    I read the problem then guessed the solution based on "this is C so it should be easy". In fact it was the hardest problem to think about for me.

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      3 years ago, # ^ |
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      hi! in problem C, no more inversion for the test case n= 6, k= 4, the expected output is -> 1 4 3 2 . but the answer 4 1 2 3 may also be correct. since the number of inversions are '3' ans also 4 1 2 3 is lexiographically greater than 1 4 3 2.

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        3 years ago, # ^ |
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        1 2 3 4 3 2

        1 4 3 2 3 4

        4 1 2 3 2 1

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    3 years ago, # ^ |
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    Hi, I want to ask you a thing, since you have watched screencast so, his code for C problem he created a "toReverse" variable whose value is n-k+1 whereas I declared it as 2k-n. Although I set different answers for k=2 and n=2, but not able to understand the logic behind that and so please explain this. It would be very helpful. I also included the same code here as well.

    int torev = n-k+ 1; 
                int si = k - torev, ei = k -1;
                for (int i = 0; i < torev / 2; i++) {
                    int l = si + i, r = ei - i;
                    int temp = a[l];
                    a[l] = a[r];
                    a[r] = temp;
                }

    Thanks in Advance

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      3 years ago, # ^ |
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      Sorry , I watched his stream long back . I don't remember now . If you have any doubt in editorial , i can help you in that.

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3 years ago, # |
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Video Tutorial for problem A,B and D link of problem D : https://www.youtube.com/watch?v=botAQ-AZNOQ

link of problem B : https://www.youtube.com/watch?v=H3qBEDYwwX4

link of problem A : https://www.youtube.com/watch?v=YjC6CcxYxo8&t=263s

Hope you guys will enjoy and understand the intution behind the solutions !!!

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3 years ago, # |
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Here is an attempt to make an unofficial video editorial of Educational Round 102 by COPS IIT BHU (English) (Problem A-E).

Blog link : https://codeforces.com/blog/entry/86815

Do check it out. https://www.youtube.com/playlist?list=PLLt4yMoVgczWm1VzN3O4y29VElipDNJ1H

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3 years ago, # |
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Can we solve the D problem using segment trees also ? If yes can someone explain their approach along with code link ?

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3 years ago, # |
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can anyone explain the solution for problem E .

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    3 years ago, # ^ |
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    sorry for my poor English
    Firstly,add "extra information" when you running dijkstra.Original dijkstra only cares about which point is visted,but now we add two new information on every point.Like copy every point 4 times.When dijkstra is over,we get the shortest path from 1 to others,and the conversions in editorial works based on the answer we get is the "shortest",and "shortest" means we must delete the maximum edge's cost,and multiple the minimum edge's cost twice.This exactly fits the problem.

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3 years ago, # |
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in what world G is a div 2 problem? (or under 2100)

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    3 years ago, # ^ |
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    Educational Contests are typically a bit harder than the regular Div. 2 Rounds (c) neal

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    3 years ago, # ^ |
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    In the world where a div2 has problem G.

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    3 years ago, # ^ |
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    Usually, F&G in Educational Contests focus on more complex algorithms(flow,fft...),but use it as a template.

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3 years ago, # |
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Are there any problems similar to E ?

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3 years ago, # |
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Problem C, maybe I'm misreading forever and I can't figure out where it is, can someone help me?

For example n = 5, k = 3, sequence a will be "12321", and inversions of "12321" equals to 3.

The answer p is "321" then sequence b will be "32123", and inversions of "32123" equals to 4 ??

It exceeds the total number of inversions in a??

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    3 years ago, # ^ |
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    12321 has 4 inversions. (2, 1)(First appearance of 2), (3, 2), (3, 1), (2, 1) // second 2

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      3 years ago, # ^ |
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      Oh!!! I understand that I couldn't find second (2, 1) for many hours...

      Very thanks!

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3 years ago, # |
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finally...... rating:1599 :(

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3 years ago, # |
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What kind of solutions does the ML in F intend to block?

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    3 years ago, # ^ |
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    O(N^2) edges I guess.

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      3 years ago, # ^ |
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      Thanks. I was thinking that the ML was to block something other than flow because that edge-decreasing observation seemed rather obvious.

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3 years ago, # |
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Can someone please explain D , went thorugh the editorial multiple times but still ain't clear ? Thanks !

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    3 years ago, # ^ |
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    the video tutorial mentioned in the comments might help you

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    3 years ago, # ^ |
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    You can plot a graph from the given string. As the graph is continuous , the answer will be $$$max + abs(min) + 1$$$. Now notice what happens when you remove a segment. Graph on the right side of the segment gets shifted up or down by $$$abs(\text{sum of segment l,r})$$$ , i.e. if you know the max and min on right side of the segment, you can calculate the new max and min. Solve this in O(1) using prefix, suffix arrays.

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    3 years ago, # ^ |
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    i have tried to explain it here

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3 years ago, # |
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May I ask why $$$ans_{i, j} = \sum\limits_{k=1}^{m} \binom{a_i+b_i}{b_i-k+j} ans_{i-1,k}$$$ is established in problem G?

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    3 years ago, # ^ |
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    Consider an infinity grid.

    Let $$$ans_{i-1,k}$$$ be at $$$(x_1, y_1) = (k-1+OFFSET_{i-1}, 1-k+OFFSET_{i-1})$$$.

    Let $$$ans_{i,j}$$$ be at $$$(x_2, y_2) = (j-1+b_i+OFFSET_{i-1}, 1-j+a_i+OFFSET_{i-1})$$$.

    Where $$$OFFSET_{i-1}$$$ is some accumulated offset from $$$1$$$ to $$$i-1$$$.

    The number of ways walking from $$$(x_1, y_1)$$$ to $$$(x_2, y_2)$$$ using only right and down is $$$\binom{x2-x1+y2-y1}{x2-x1} = \binom{a_i+b_i}{b_i-k+j}$$$.

    Sum from $$$k=1$$$ to $$$k=m$$$ we get the formula.

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      3 years ago, # ^ |
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      thanks!

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      3 years ago, # ^ |
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      sorry...I can't understand the meaning of the coordinate. Could you help me? Thanks a lot

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        3 years ago, # ^ |
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        A diagonal line here(say x+y=CONSTANT) corresponds to a column in the original problem.

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3 years ago, # |
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For G:

1e3 * 1e5 * 17 with constant factor C = 1.7e9 * C.

For NTT, obviously that C > 1.

And it's quite easy to reach the worst case.

How dare you set a 1e3 there.

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    3 years ago, # ^ |
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    It's not even close to 1e5, it was something that slowly increases from 1 to 5001 in the worst case. Still, I think this is a pretty tight limit for G though.

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      3 years ago, # ^ |
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      I see. My mistook. Thanks for pointing it out.

      it's $$$\sum_{i=1}^{1000}{(10i-3)log_2{(10i-3)}}$$$.

      Too tight +1.

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3 years ago, # |
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Hi @BledDest,

For the problem F and the input:

2
1 2
100 -200

I guess the network should look like

Where is min-cut here? And where is the flow?

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    3 years ago, # ^ |
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    The min cut is 0 (take the set {s, 1}) and the answer is 100-0.

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3 years ago, # |
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Hey can someone provide me a case where my submission for E fails? Almost all tests other than samples are too big to simulate by hand and I'm not able to think of a case :(

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    3 years ago, # ^ |
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    I tried this sample case on your submission

    4 4
    1 2 3
    1 3 7
    2 4 3
    3 4 1
    

    Actual Output: 3 5 6

    Expected Output: 3 3 2

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3 years ago, # |
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Can anyone give me a visualization of new graph in problem E? Maybe using the first sample test please. I could not imagine how that graph may look like.

Thanks in advance.

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    3 years ago, # ^ |
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    There is no new graph . Here dp[u][0][0],dp[u][0][1],dp[u][1][0],dp[u][1][1] are not effected by each other and thus can be seen as independent nodes with all edges attached to them similar to u.

    Few definitions (similar to editorial) :

    dp[u][0][0] :Minimum Path length from vertex 1 to u such that each edge in path is counted once .

    dp[u][0][1] :Minimum Path length from vertex 1 to u such that one edge in path is counted one more time.

    dp[u][1][0] :Minimum Path length from vertex 1 to u such that one edge in path is subtracted.

    dp[u][1][1] :Minimum Path length from vertex 1 to u such that one edge in path is counted one more time and one edge in path is subtracted (Note that both type of edges can be same and in that case it will be equivalent to dp[u][0][0]).

    Answer for node u will be dp[u][1][1] because it fits definition in the problem and the edge subtracted will be always maximum and edge added one more time will be of minimum length (see proof in editorial).

    Let's consider graph with n=3,m=2 .Edge 1----2 with weight 3 , 2----3 with weight 6 . Initially dp[u][x][y] = Infinity for all nodes and all values of x and y .

    clearly dp[1][0][0] = 0 . Now transitions :

    dp[2][0][0] = 3 + dp[1][0][0] = 3 . dp[2][0][1] = 3 + 3 + dp[1][0][0] = 6 . dp[2][1][0] = dp[1][0][0] = 0 . dp[2][1][1] = 3 + 3 — 3 + dp[0][0] = 3 . As expected answer for node 2 is 3.

    dp[3][0][0] = 6 + dp[2][0][0] = 9 . dp[3][0][1] = min(dp[2][0][0]+6+6,dp[2][0][1]+6) = min(15,12) = 12 . dp[3][1][0] = min(dp[2][1][0]+6,dp[2][0][0]) = 3 . dp[3][1][1] = min(dp[2][1][1]+6,dp[2][0][1]) = min(9,6) = 6 . As expected answer for node 3 is 6.

    It can coded exactly as Dijkstra where we start from dp[1][0][0]. See the code in editorial it's very short and easy to understand.

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      3 years ago, # ^ |
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      Thanks for your detailed example. Such a creative use of Dijkstra.

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        3 years ago, # ^ |
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        True. It can be best described by demoralizer his comment in his stream

        Dijkstra is like a mixture of DP and Greedy. DP type technique with Greedy order of evaluation. That's why a lot of DP things can be used in Dijkstra, as long as the greediness is maintained.
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3 years ago, # |
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is there any video editorial for F ??

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3 years ago, # |
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can someone explain where i am wrong in Probem E

i am getting WA on test 5

although i did similar as mentioned in editorial.

SUBMISSION

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3 years ago, # |
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Problem F is Closure problem.

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3 years ago, # |
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Can someone explain this to me? (taken from editorial problem E) We can notice that on the shortest path, the maximum weight edge was subtracted and the minimum weight edge was added. Let's assume that this is not the case, and an edge of non-maximum weight was subtracted from the path, then we can reduce the length of the path by choosing an edge of maximum weight. But this is not possible, because we considered the shortest path. Similarly, it is proved that the added edge was of minimal weight.

How exactly do we reduce path length by choosing the edge of maximum weight ???

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2 years ago, # |
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What is this, could you explain better?

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4 months ago, # |
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Never mind

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12 days ago, # |
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Don't know why you are taking max and min with 0 in solution of D, instead of taking max and min with d. Taking d would have been a better choice as it is a more general way of computing suffix max and suffix min.