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I'm trying to solve an allocation problem:

  • I have 350 000 parcels with size S_i, each parcel can only have a state, and for each parcel I have a set of probability
  • for each state, I have a quantity to reach

I found the Vogel approximation method but with 350 000 rows (parcels) and 15 columns (possible states), the computation time should be too long.

Do you know minimum-cost allocation algorithms that could solve this kind of problem ?

  • Could you elaborate more on the cost problem that you're trying to solve, and perhaps provide some of your code + sample inputs/outputs? As it is, it is very difficult to understand your problem. – Enthus3d Nov 29 '19 at 19:49
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    Please edit the question to describe the problem more clearly. What is the "state" of a parcel, what does "a quantity to reach" mean? You can give a smaller example where you show the input, the output, and an explanation for why that output is correct. – kaya3 Nov 29 '19 at 19:49
  • I want to thank Enthus3d and kaya3. I discussed with a computer scientist colleague and according to him, this way to go should not suit with the constraints of my problem. – user7017404 Dec 10 '19 at 19:41

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