I am very new to Julia. I wish to obtain the indices of my output that are non-zero

So what about something like using JuMP, Gurobi m1 = 4 m2 = 4 m=Model(with_optimizer(Gurobi.Optimizer,OutputFlag=0)) @variable(m,z[i_1=2:m1,i_2=i_1:m1,j_1=2:m2,j_2=j_1:m2],Bin) optimize!(model) z_val = value.(z) on_variables = [key for key in eachindex(z) if z_val[key] > 0.5]

Welcome to julia!, if you need only the indices, the following function can help you. indices = findall(!iszero,-2:2) # [-2,-1,1,2] there are some things going on with this findall acepts a function and a iterable container iszero(x) is a function that gives true if x is zero ! is a negation …

Thanks for the response. Sorry I think I meant the key. In this image I have an example. If i input var1 I would like to retain [2.0,5.0,2.0,5.0] but not the others… [48%20PM%20(2)]

mmm, i had never worked with DenseAxisArray, can you post the code necessary to generate that array? [image] Please read: make it easier to help you Meta Discussion Welcome to the Julia Discourse! We are enthusiastic about helping Julia programmers, both beginner and exper…

You’re probably looking for something like: julia> using JuMP julia> using Gurobi julia> model = Model(with_optimizer(Gurobi.Optimizer, OutputFlag=0)); Academic license - for non-commercial use only julia> @variable(model, x[1:2, 1:3], Bin) 2×3 Array{VariableRef,2}: x[1,1] x[1,2] x[1,3] x[2,…

using JuMP using Gurobi m=Model(with_optimizer(Gurobi.Optimizer,OutputFlag=0)) @variable(m,z[i_1=2:m1,i_2=i_1:m1,j_1=2:m2,j_2=j_1:m2],Bin) Thank you! I tried this but I get an error because z is a DenseAxisArray and this is not supported.

How to view which of your binary values are 1

Specific Domains Optimization (Mathematical)

longemen3000 September 6, 2019, 5:41am 5

mmm, i had never worked with DenseAxisArray, can you post the code necessary to generate that array?

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How to view which of your binary values are 1

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