vishnuvardhan mahamkali

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  • vishnuvardhan mahamkaliさんがコメントを作成しました:

    Hi Sonja, Sorry, my bad. I was mistaken. Data browser in my editor didn't show those really small floats. Indeed, there are really small numbers. It make sense, that is really a broad range of num...

  • vishnuvardhan mahamkaliさんがコメントを作成しました:

    Hi Sonja, Thanks for your reply. The idea was to add a ellipsoid constraint using inverse of covariance matrix. I checked the min and max float values in the matrix and they look fine. I have done ...

  • vishnuvardhan mahamkaliさんが投稿を作成しました:

    Adding Quadratic constraint

    回答済み

    Hello, I am trying to add a Quadratic constraint to represent the ellipsoid in my model using Gurobipy. The constraint is of the type X.T * inv(covariance) * X at the moment, I use numpy multiplica...

  • vishnuvardhan mahamkaliさんがコメントを作成しました:

    Hi Sonja, Thanks for your reply. Linear model solved in about 5 ms. Please see the log with Quadratic constraint below.   Gurobi Optimizer version 9.0.2 build v9.0.2rc0 (linux64)Optimize a model wi...

  • vishnuvardhan mahamkaliさんが投稿を作成しました:

    MILP with quadratic constraints taking too long to solve

    回答済み

    Hello, I have a MILP model with one quadratic constraint in the form xT@A@x <= b. Without adding the quadratic constraint, model solves quickly. When I add the Qconstraint, model.optimize keeps run...