 |
Don’t Go It Alone. Gurobi and Its Partners Provide the Continuum of Support You Need.While the mathematical optimization field is more than 70 years old, many customers are still learning how to make the most of its capabilities. That’s why, at Gurobi, we have established the Gurobi Alliance partner network—a group of trusted partners who can support you in achieving your optimization goals. Learn More |
|
Burrito Optimization GameThe game was developed as a free educational tool for introducing students to the power of optimization. In order to play the game, you will need to be logged in to your Gurobi account. Learn More |
|
Tata Steel On Track To Save Millions In Production Costs With GurobiLearn More |
Sum the elements of the MVar; returns an MLinExpr object.
Arguments:
axis: An int, or None. Sum along the specified axis. If set to None, summation takes place along all axes of this MVar.
Return value:
An MLinExpr representing the sum.
Example usage:
x = model.addMVar((2, 2)) sum_row = x.sum(axis=0) # Sum along the rows of X sum_col = x.sum(axis=1) # Sum along the columns of X sum_all = x.sum() # Sum all variables in this MVar
