Data structure for sparse coefficient matrices

Answered

Haakon Grov

October 23, 2019 11:59 Edited

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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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• Official comment

  

  Simranjit Kaur

  • Gurobi Staff

  December 06, 2024 00:52

  This post is more than three years old. Some information may not be up to date. For current information, please check the Gurobi Documentation or Knowledge Base. If you need more help, please create a new post in the community forum. Or why not try our AI Gurobot?.
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  Silke Horn

  • Gurobi Staff

  October 25, 2019 05:36

  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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