Ahmed Azab

Hi, Please try using the latest Gurobi version 11.0.3. Compared to the version you are using (9.1.2), there have been many more advanced features and more powerful techniques for QCP and MIQCP mode...

Hi,I solved your model using Gurobi version 11.0.3.  Optimal solution found (tolerance 1.00e-04) Best objective 1.661528493733e-02, best bound 1.661528493733e-02, gap 0.0000% Note that the default ...

Hi Khadija,Kindly refer to the Parameters section in the Gurobi references manual to learn more about these parameters.Best Regards,-Ahmed

Hi Jai, In addition to the previous explanation, I recommend reviewing the following examples from the Gurobi Machine Learning documentation: https://gurobi-machinelearning.readthedocs.io/en/stable...

Hi 子龙 王, The problem you're encountering occurs because your code is trying to find certain keys in the x dictionary that actually don't exist, resulting in a KeyError. This issue pops up due to th...

Hi AMIT, Please refer to the Gurobi reference manual for a better understanding of using Gurobi with MATLAB. Here, you will find MATLAB API Overview.Here, you will find more MATLAB Examples. - Ahmed  

Hi Matthew, The following Python code can also do what you are looking for. import gurobipy as gpm1 = gp.read("test.mps")m1.read("test.sol")m1.params.SolutionLimit=1m1.optimize()m1.write("test.rew"...

The reasons for the errors you have in constraint 4 are as follows: # constraint(4)  idea1 quicksum(D[p*x[i, j - 1, p]][q*x[i, j, q]] TypeError: list indices must be integers or slices, not gurobi...

Hi Venkateswara,  conda install -c gurobi gurobi  should work for you.  The conda gurobi package includes gurobipy. For comprehensive instructions on installing Gurobi for Python, please refer to t...

You can rearrange the equality so that all variables are on the LHS, and the RHS value is zero: X = Y - Z to be  X - Y + Z = 0 I am not familiar enough with the Matlab API to provide a specific im...