

Codeforces Round #703 (Div. 2) Editorial
source link: http://codeforces.com/blog/entry/87849
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Solution using C++: 107892022
Solution using Python: 107892053
Solution using C++: 107892065
Solution using Python: 107892085
1486C1 - Guessing the Greatest (easy version)
Solution using C++: 107892097
Solution using Python: 107892140
1486C2 - Guessing the Greatest (hard version)
Kudos to Aleks5d for proposing a solution to this subproblem.
Solution using C++: 107892122
Solution using Python: 107892144
Solution using C++: 107892153
Solution using Python: 107892163
Solution using C++: 107892178
Solution using C++: 107892186

9 months ago, # |
I'll add solution codes as soon as I can. If there are any mistakes, you can PM me.
9 months ago, # |
C was nice
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Can you please explain C1?
https://codeforces.com/contest/1486/submission/109003138
This is the link to my submission. But I am getting wrong answer on test 3. I can't understand why. Please help me out :((
9 months ago, # |
Amazing problems and solutions!!!!
can someone plz explain this to me for question B: Now to calculate the answer on a line we could use a known fact: point with the smallest summary distance is between left and right median.
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Just imagine: there are n points in line. You are on the leftmost point and walk to the rightmost point. When you begin to walk, the sum of all distance will get smaller until you arrive at the median —— or 2 medians (if n is even, there are 2 medians and you will get a same summary between them)
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Another way to think of it: for any two given points, choosing any point along the line connecting them contributes the same summary distance, i.e. the distance between them. So taking all the points as a whole, you can ignore the left-most and right-most point. You now have a smaller set, and you can keep doing this, until you either have 2 points left (if initial set had an even number of points) or 1 point left. So if you have 2 points left, any point between them will contribute the minimum (the distance between them), as going outside of those 2 points will contribute more than the distance between them. And obviously if you only have 1 point left, that point will contribute 0, and anything else would contribute more.
9 months ago, # |
Is there someone who tried to solve E as a dp[N][2] — minimum distance to reach a node where state 0 means using the second road now and and 1 for the using the first one? I WA o pretest 4,if you can give me your solution. My CODE
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I solved it using a similar approach. Here is my code. Hope it helps : )
9 months ago, # |
Systests for E seem to be weak, many solutions including mine (107846073) passed with it.
9 months ago, # |
Some video solutions for A-E, and somehow not FST'ing E
9 months ago, # |
Really liked problem c and great problem set!!
9 months ago, # |
Thanks for the fast editorials!
9 months ago, # |
C was nice but it would have been better if on exceeding query limit it threw some error other than WA. I thought my code was incorrect but it was exceeding query limit.
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What else should it error as?
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Something like Query Limit Exceeded.
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In interective problems u can use assertion on number of queries to make sure whether it is wrong ans or query limit exceeded
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9 months ago, # |
Nice editorial;)
WA ON TC2 in prpb A . Can anyone give me whats the mistake.
Thanks
UPDATE: ITS SORTED OUT NOW
9 months ago, # |
Why is my solution not correct for A ? I can't think of a case where it may fail;-;...pls someone check 107870406 i wasted 2 hrs on this piece of sheet;-;
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ur code fails on 3 3 0 0 1 3 0 1 0 3 1 0 0 answer is NO , NO , NO I guess your code guess a different answer. Refer https://codeforces.com/problemset/submission/1486/107870392 the function solve2
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Hi,the logic is no8t making any sense to me. Consider this sequence 0 1 2 2 8 9 20. Do you think your solution will give correct output? Even though h-i is negative at i=3, still the sum becomes positive. But do you think in this case a solution is possible?
9 months ago, # |
okwedook Too many fake solution for E, suggest rejudge all submissions .
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What do you mean by "fake" solutions?
9 months ago, # |
Just amazing contest,thanks to the autor! Waiting soon for ur next round.
9 months ago, # |
I tried to solve D using ordered set, but I got WA on test case 7. I cant figure out why MY CODE
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you get the max median of subarray of length exactly k not at least k
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can you explain why length k is not optimum, i think length k should be optimum
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9 months ago, # |
Such a good problem set, make me realize that I need to work hard. And that interactive questions, nice.
I will be thankful if someone recommends good and easy interactive questions, for beginners. Thanks in advance.
C was a great question, I'm still confused though on my find_left function.
at first, my mid calculations were the standard (lo + hi) / 2, but this causes infinity loop:
ll mid = lo + (hi - lo) / 2;
then I changed it to (lo + hi + 1) / 2, then got AC:
ll mid = lo + (hi - lo + 1) / 2;
full code:
ll find_left(ll secondMaxIdx)
{
ll lo = 1, hi = secondMaxIdx - 1;
while (lo < hi)
{
ll mid = lo + (hi - lo) / 2;
if (ask(mid, secondMaxIdx) == secondMaxIdx)
{
lo = mid;
}
else
{
hi = mid - 1;
}
}
return lo;
}
Can anyone with a better understanding of binary search explain why this works?
I solved E in another way(107874274). I'm not sure whether it is correct or not.
The naive solution is to use Dijkstra's algorithm and two loops to relax. Consider every vertex . If it is used as middle vertex by some vertex and it is going to be used by vertex .
According to Dijkstra's algorithm, ans[a] <= ans[b] must hold. If dis[a][u] <= dis[b][u], no vertex will be relaxed by . So for every vertex, I record the minimum dis[a][u]. If it is equal or smaller than dis[b][u] then continue. Otherwise I just run the naive two loops.
Since every vertex will be used as middle vertex at most times, each relaxtion will call one pq.push. The time complexity may be (I'm not sure about this)
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Can't we solve this for general weight. Means we can construct a new graph in which there is an edge between u and v iff there is exactly one vertex z between u and v in original graph s.t. u-z and v-z are edges in the original graph and weight of uv in new graph will be as defined in the problem. Now simply we should run Dijkstra on this new graph.
What is wrong with this method? Can you please point it out.-
In the worst case, the new graph will consist of edges.
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I have solved it for generic weight : https://codeforces.com/contest/1486/submission/108202408
Let me know , if you feel there exist a test case which can hack this solution.
Time complexity looks good to me to pass within the time limit.
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9 months ago, # |
"For a middle vertex we only...". what is a "middle vertex"?
"is the weight of the last edge...". What is the "last edge", last of what?
"Now for each starting edge..." What is "starting edge" here?
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okwedook Please answer the spookywooky comment, I have same doubt. I find difficulty in understanding the editorial of Problem E.
9 months ago, # |
Is there anyone else who thanks Errichto whenever they see a binary search problem?
9 months ago, # |
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To debug such scenarios, you can stress test your solution as well.
You can write a bruteforce for this problem very easily. e.g.
- Generate random permutation A.
- Take your query into a separate function. Answer it by using the array A. You can find second max in O(n) easily.
- In the end, match the maximum element position returned by your program with actual maximum element position.
Keep doing this for many iterations till you find a counter case. This kind of stress testing strategy helps a lot in many problems. You can see my submission for some hints regarding implementing this bruteforce. The code is really messy and unpolished, but I have attached it for reference anyway.
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Hey, thanks a lot. Found my mistake! Also, am I not supposed to post solutions in the comments or something? Since I got a lot of negative feedback? If no, then I'll delete the comment.
9 months ago, # |
okwedook test cases for E are weak. Many have been passed. So please consider rejudging all submissions.
9 months ago, # |
I am getting runtime error on testcase 6 for the E problem , here is the link of my submission , can some one please check it!!, What I have done is kept n*51 states and edge of weight 0 between (u,0) & (v,w) , edge of weight (a+w)^2 between (u,a) & (v,w) , for the edge u,v with weight w given in question, I applied dijkstras on transformed graph..
9 months ago, # |
In problem D, I know that we can use binary search as described in the editorial. But I noticed that if is too small, we cannot find a sufficient subarray. Consider the first example in the statement of list . Assume that we want to check if it is obtainable the median of or not. But we cannot choose from a subarray of length at least that has the median is .
How can we overcome this?
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The binary search asks the question: is there a subarray of some length with a median of at least 1?
So we replace all elements that are 1 or more in the array with a 1, and those that are less than 1 with a -1, resulting in [1, 1, 1, 1, 1]. We can find a subarray of length at least 3 with the median 1, so it follows that the answer is 1 or more.
9 months ago, # |
After reading the solution to the problem D — wow that is very smart. The binary search never ceases to amaze me. Thank you for the beautiful problem (and the solution)
9 months ago, # |
Can anyone please explain the formula of problem F?
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I'm not sure what the official solution is, but I can try to explain my solution to F. Consider a vertex , and say we want to count all pairs of paths that have as their unique common vertex. First arbitrarily root the tree at . We break the paths into types:
- up paths: paths that start at and go towards the root
- through paths: paths that contain the parent of , , and another node in the subtree of
- down paths: paths that have as the LCA of the endpoints and are not strictly up or down the tree
- vertex paths: paths that are from to
For a fixed , we can take care of all pairs of paths that contains vertex paths easily, so we ignore those. We can pair any up path and down path. We may also pair through paths and down paths that do not overlap. We may also pair a down path with a down path if they do not overlap. We can easily count all these quantities using Heavy Light Decomposition and LCA.
9 months ago, # |
9 months ago, # |
It seems to me that D, E are too technical and without ideas (it was immediately clear to me from the statesment what to do), but they are still funny
9 months ago, # |
The Problems were Amazing! Thanks for great contest.
9 months ago, # |
https://codeforces.com/contest/1486/submission/107832284 can anyone point out why is this solution wrong, I ran query overall range and then ran two queries for f, mid and mid+1,l if I find the same index in either of the answers then I search in that range or If I don't find any matching index I go the half opposite to that previous queries
When will I become a CM? :-(
It's been a pain using the CF system tester to debug an interactive problem like C (even the asserts return nothing, just a Runtime Error). Here's a brief snippet in case anyone else would like to test this locally. It basically generates n different numbers (permutation from 1 to n) and shuffles them.
Instead of doing cout/cin operations, as you would do in the actual solution, here you could just call the ask() function and it would give you the second maximum for that range (each call takes O(n) time — so you would obviously time out if your overall solution is not some form of binary search / log(n))
9 months ago, # |
Can someone please help me where my code is failing. TIA.
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Worst case needs O(n) queries. Try:
[7 6 5 4 3 2 1 8]
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But I am always halving the search space? Can't seem to figure out the error in my logic.
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mid==l
is possible, and when you callbinarysearch(mid+1, r)
, you are decreasing the search space by size 1, not halving it.More importantly it sometimes gives wrong answer. Try
4 5 6 1 2 3
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In the editorial solution of problem c2,in binary search l+1<r is used in while loop instead of l<r used usually.can someone explain the logic behind?
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Let's consider the case when
smax<maxpos
(the firstwhile
loop in the code). The loop invariant property is that the range[l,..,r]
always contains both,2021-02-19smax
andmaxpos
. It is beneficial to break the loop just whenl
andr
become adjacent (i.e. whenr - l > 1
becomes false) because now the only way for the above property to hold is thatl==smax
andr==maxpos
, and we can immediately outputr
(orr+1
, in case of 1-based indexing).-
why is it like the range
[l...r]
will contain both smax and maxpos like in the example:1 4 3 2 5
the loop will break atl=3
andr=4
whereas the index of smax is '1'(0 indexing).
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9 months ago, # |
I'm getting this error in C1 and C2 problem " wrong answer Integer parameter [name=query_l] equals to 100000, violates the range [1, 99999]" Can anybody help to fix that this is my code
9 months ago, # |
Good problems, moderate difficulty, but weak tests of E.
9 months ago, # |
Can someone please explain problem C2 didn't get the logic from the editorial. Thanks in advance :)
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see my submission, here d is 1 for right direction and -1 for left direction.
9 months ago, # |
I can't get why my solution is giving me a wrong ans at test 7 of question D. My approach is a little different from the editorial. https://codeforces.com/contest/1486/submission/107932779
9 months ago, # |
In C2 solution and find_left binary search why do we return hi instead of lo?
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Cause it's the first element to get the needed answer as written in the editorial
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Can you please tell the logic behind using
r-l>1
instead of usuall<r
in binary search in the editorial solution?-
I use binary search with subsegment , so it means I look at elements . This is called a half-interval (in russian at least). That's why contains only one element.
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Thanks! If i use l<r, the program stucks in infinite loop like in the sample test case
5 1 4 2 3
it goes like:
5 ? 1 5 3 ? 1 3 3 ? 2 3 2 ? 1 3 3 ? 1 3 .....why so?
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Well, because l is always less than r. That's the beauty of half-interval.
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Can it be generalised that when we should use
l<r
and whenl+1<r
in binary search or is it just for this specific problem?-
I always write binary search this way. Just use half-intervals and you'll be happy. Consider it like this: l is minimal possible value and r is the first value, that is most definitely working out for you. You can rotate the problem (make segment and code wouldn't change at all (only checks and output).
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Thanks for your explanation, really appreciate it!
It would be really great, if you could elaborate on these points —
Consider it like this: l is minimal possible value
Minimal with respect to what condition?
and r is the first value, that is most definitely working out for you
You mean the first True value?
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What does "wrong answer Integer parameter [name=query_r] equals to 49218, violates the range [50000, 100000]" mean? What am I missing? This is in testcase 5 problem C1
9 months ago, # |
Can someone check my code for problem C. Still cant figure out the corner case I'm missing.
9 months ago, # |
I can't explain me why my solution is wrong for problem A, can anyone help me? https://codeforces.com/contest/1486/submission/107785526
9 months ago, # |
Please help me out with this one. What i thought for A problem is this : Try reducing given sequence to 0,1,2,3,4.... by shifting any extra ele to right and now check if the sequence is strictly increasing or not. Solution : 107820006
9 months ago, # |
Can someone tell why it is giving wrong output 107936839
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If n = 5 and inputs are 2 1 1 1 1, then for loop breaks in the fourth iteration and the last one is acting as n for next test case.
Can someone elaborate how you all are creating graph before applying Dijkstra? (problem E)
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I have considered based indexing of nodes to save memory.
Since weights of all edges is between and . For each node say , create nodes say ,,,.....
Now for each edge as input , make edges and as shown in following code since edges are bidirectional.
add edgesLet's understand how Dijkstra will work here with example :
consider nodes . Suppose edge length between and is and edge length between to is . Thus distance between and is by using definition in question.
First we will insert to priority queue . Since is connected to with edge length , will be inserted in priority queue. Also is connected to with edge length , thus will be inserted to priority queue .Hence distance between and is .
Now try to scale above example to any number of vertices and it will be clear why it works.
priority queue based implementation : 107975317 set based implementation : 107975265
9 months ago, # |
In the editorial's code for C2, why is the binary search done over 0...n-1 and not 1...n, I've already noticed that the answer is being returned after incrementing it by one.
9 months ago, # |
What if the problem 1486A - Shifting Stacks was to find the most efficient arrangement of strictly increasing stacks i.e. the strictly increasing arrangement possible with minimum number of moves.
An approach that I thought of:
Spread out the extra blocks given to us evenly with the stacks available. Like for example, we have [0 13 0 0] as the heights, now if we were to make the stacks strictly increasing with the least possible blocks we would have done it like this [0 1 2 3], so here we have got 7 extra blocks which can be spread to 3 stacks as we can't move the blocks backwards. So we can go and spread ceil(extra blocks/stacks available)
i,e 2 blocks here to each stack thus making it [0 3 4 5] and that extra block left has to go to the last stack the most efficient arrangement of stacks would be [0 3 4 6].
is this the most efficient way of doing it??
Also what if we were asked to find the minimum number of moves required to make it strictly increasing??
9 months ago, # |
Let's binary search the answer
9 months ago, # |
Can someone help me in C1? I am getting TLE on 4th test case though third has passed. This is the link to my submission.
9 months ago, # |
In problem D, I dont understand why the answer is monotonic. Suppose the array is [6, 1, 1, 1, 1, 7, 8], k = 3, the answer exist for x = 7(ie subarray [1, 7, 8]), hence according to the editorial the answer is atleast 7, this means answer for x = 6 should also exist, but there is no subarray of length >= 3 for which 6 is the median.
Did I miss something? Any help is appreciated.
9 months ago, # |
Can someone please explain to me that if we had max as the position of 2nd greatest element in l -> r, if max is still the position of 2nd greatest element in l -> mid ( mid = l + r >> 1) then the position of greatest element is in l -> mid?
9 months ago, # |
Except for the LCA part, I have had a nearly-linear implementation for task F.
My submission 108017714
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So you are strong enough:)
Actually, I have written a pretty neat data structure to get RMQ in O(1) online (so it can handle LCA online of course).-
I didn't understand why you praised me until I actually read your editorial. :)
I am not going to show off. However, I would like to add my little bit to nowadays's problem approaching style.
In my opinion, the (nearly)-linear algorithm is the easiest to implement, without using any heavy data structure. Back in to the old days, the people who know HLD / LCT is the true master. XD
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Would you mind explaining how you obtained the triples (lca, subtree1, subtree2) in linear time (if you remember the problem by now and are willing lol)? I'm too lazy to read code, especially for a problem with such a long implementation.
I did it for each vertex pair by computing the th ancestor of , and the same for . So I couldn't get rid of the log factor :(
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The problem is that given and where is an ancestor of , we would like to know in which subtree of that lies.
We can perform a DFS on the tree, and keep track of an array , which is the current subtree of the vertex we are in. When reaching the vertex , is what we need.
This approach is conceptually simpler than what I had done in my code, and the only drawback is that we have to do DFS twice. One for LCA and one for the subtree query.
My code is more complicated as I solved LCA and subtree query in one DFS as I remember.
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Ah, I understand, thank you so much! I suck at using the idea that you can maintain an array of size during the dfs, it just makes my brain explode for some reason lol.
A similar idea is that while visiting vertex , maintain a stack consisting of the vertices along the path from the root to (in order). Then is equivalent to . I think the latter idea seems more intuitive to me, but maybe it's just because I've seen it before.
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9 months ago, # |
can someone explain the logic of taking -1 and 1 in question d .
9 months ago, # |
Now let's think that smax is less than mid (for symmetrical reasons).
These assumptions are taking me down difficult for me of thinking to assume this
9 months ago, # |
I am observing about a 2x difference between the runtimes of two solutions, by just changing the way I am indexing the array. I understand that this is because of different localities of reference between the solutions.
Yet, I am not able to figure out why one of these has a higher locality of reference. If someone can help me figure out the same, it will be greatly appreciated.
9 months ago, # |
What's wrong in my code... can anyone explain...
Checker comment wrong answer element at position 43742 is not maximum
9 months ago, # |
I was trying to solve C2 but I am not quite understanding where the queries are running out. According to me, I am asking only one query before dividing the segment any further, so I think my queries shouldn't be more than 20.
My code: 108106042
9 months ago, # |
In problem B, do we not need to consider unique points for x? suppose we have (0,0) (6,1) (8,2) (8,3) (8,4) and (10,4). Then vector for x will have <0,6,8,8,8,10> and the ans for this will be size = 6 x[3] — x[2] + 1 that is 1 but answer should be 3 (6,7,8)? pls help.
9 months ago, # |
Is there a DP solution for problem D?
9 months ago, # |
Can anyone help me why I get Time limit Exceeded in problem D?
9 months ago, # |
Can someone please explain logic for problem B, I am having tough time in understanding the editorial for the same.
9 months ago, # |
In E I combined all pairs of consecutive edges into a single edge and applied djikstra to the modified graph. It is giving WA on test 5. Please someone explain my mistake. Here is my solution 108800090
9 months ago, # |
I am getting wrong answer on test case 16 in problem D and I am not able to find the error. Here 108604409 is my submission. If anyone can help..
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Nope, I couldn't. But seems like you figured it out. What was the issue?
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The issue is with the initialization of the minimum vector, it should begin with zero value. See the difference in these two submissions for clarity:
https://codeforces.com/contest/1486/submission/112135909 (WA 10th case)
https://codeforces.com/contest/1486/submission/112136806 (Accepted)
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Can anyone pls help me with what the approach is for problem A, sorry for bothering you guys for such dumb question and I am complete noob (started programming just now) and didn't understand why solution provided is correct(after cross checking with test cases i got it but how can i think to get at this point!!)
THANKS it is resolved :|
10 minutes ago, # |
I had been trying to solve problem E, and in failing to do so, tried to look for a solution in the editorial. However, I found the editorial for E a bit unclear, and both my brain cells struggled hard to comprehend it. Fortunately, I found kostia244's (sorry for the ping) solution in the standings page, which was quite clear and understandable to me, and was finally able to solve the problem after 1010 attempts. Hence, I decided to explain my (rather kostia244's) solution, just in case someone drops by here in future. So here it goes:
We maintain , where stores the distance of node from node and the weight of the last visited edge is . Initally . To perform dijkstra on the graph, we maintain a heap, (or set, depends on your taste) which contains an item with three parameters:
1. the vertex,
2. distance of the from the first vertex,
3. weight of the edge through which we reached ,
We relax the vertices in the following fashion:
If , it means we reached from another vertex , and the sum of the edge weight between and () and the distance of from node , is stored in . Now if we want to go to a new vertex from , according to the problem, we can travel from to with cost . Hence, we update , and push into the heap with no overhead cost, which means for , .
Otherwise, if , it means we can reach from node , with cost . Hence, if we want to travel to an adjacent vertex , we update , and push into the heap with an overhead cost () of , and we move on in life.
Now, the answer for is , and we print it accordingly.
C++ implementation.
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