Data structure for sparse coefficient matrices
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I am new to Gurobi and I am trying to understand which data structure to use for coefficients. I want to model a large sparse coefficient matrix A as seen below. I am wondering if it should be done using a tuplelist, a tupledict or some other structure? In the statement below, A is the coefficient matrix and z is a decision variable.
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Welcome to Gurobi!
Which API are you going to use? (From your mention of tuplelist and tupledict, I am going to assume Python.)
As of version 8.1.1, Gurobi does not support matrix-based modeling in Python. So right now the recommendation is to model your constraints using the addConstr method (or in bulk using addConstrs). You can have a look at the code examples here.
With Gurobi 9 (scheduled for later this fall), you will be able to do matrix-oriented modeling, using NumPy or SciPy matrices.
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