Dear all, I have a vector: I = 1:55. I need to partition it into 10 subvectors, none of which must be empty and the length of each of which is a random number. What is the best way to do this? Could someone help me?

Here’s a simple code that does uniform assignment over the k subvectors. n, k = 55, 10 x = 1:n select = rand(1:k, n) subvectors = Vector{Vector{eltype(x)}}(undef, k) for i in 1:k subvectors[i] = x[select .== i] end Example result: julia> subvectors 10-element Vector{Vector{Int64}}: [4, 5, 6,…

What is the use case? Do you have other constraints on the lengths? Why not take them constant?

I need different lenghts to insert in a optimization problem. Moreover, all components of ```I```` need to be used.

Okay but why do the lengths need to be different? Do the subvectors need to be contiguous?

Using the prototypical decomposition of 55 = 1+2+…+10, it seems you might be looking for something like: julia> using Random julia> shuffle(getindex.(Ref(shuffle(1:55)),(:).(cumsum(0:9).+1,cumsum(1:10)))) 10-element Vector{Vector{Int64}}: [29, 52, 30] [5, 24, 28, 21, 27, 22] [12, 38, 31, 26, 16…

Partitioning a vector

General Usage

rocco_sprmnt21 January 31, 2024, 4:18pm 9

Perhaps a similar discussion might be of interest

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Partitioning a vector

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