- Thoughts.
- Enumerate the pairs whose sum is 2 bekiest and select them so that there are no duplicate vertices.
- But if you do it naively, “check if the sum is 2 beki for each pair” is 10^10 and impossible.
- When two numbers add up to 2 Beki, is there any other characteristic?
- If I can make a frequency table, I can do it in about 10^7.
- How do you maximize pairs after the graph is created?
- There can be vertices with the same value
- Not 1,1,3 or a two-part graph.
- Oh, like a coating or something of that nature?
- Google (i.e. to search for on the WWW using the Google search engine)
- Maximum matching for bipartite graphs is well-known, but apparently there are polynomial-time algorithms for general graphs as well.
- But O(N^4)…
- Can you say the upper limit on the number of vertices that can participate in a 2-vekiable graph?
- And you can chop up anything that isn’t consolidated.
- Oh, no, there’s “all one” or something.
- If there are three 2-veki numbers e.g. 8, there can be a pair 8-8 with itself
- Can these areas be removed first?
- No. You have more pieces if you don’t make 8-8 when you have 8,8,24,56.
- The same vertex can be used over and over again, and it’s self-explanatory, so don’t think of it as a general matching.
- This is probably best taken from a point with rank one.
- Is there ever a point with a rank of 1 that does not exist? Yes, or a case where there are four 1’s.
- It should be “the point where there is only one paired point, including yourself.”
- When a number x is paired with another number (a<b)
- Is it a leap to conclude that 2x=2^a when this is a pair?
- When x is odd, the pair of values is also odd, and when x is even, the pair of values is also even, so divide by 2 until x is odd, and consider the case where x is odd
- Dividing the right-hand side by 2, we get .
- For a>1 this would be an odd number.
- The only odd number allowed as 2^c divided by 2 is 1
- hmm
- For a>1 this would be an odd number.
- Official Explanation
- This policy of “starting from a point with a rank of 1” is a good one.
- I haven’t found an efficient way to find this out.
- On the contrary, think from the larger side.
- It is essential that the vertex with the largest value has only one pair of values in this problem condition
- Fill in the maximum matching on the graph from the end.
- This policy of “starting from a point with a rank of 1” is a good one.
- problem partitioning - Maximum matching
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