The first step in our example is to create a model. A Gurobi model holds a single optimization problem. It consists of a set of variables, a set of constraints, and the associated attributes (variable bounds, objective coefficients, variable integrality types, constraint senses, constraint right-hand side values, etc.). We start this example with an empty model object:
# Create a new model m = Model("mip1")
This function takes the desired model name as its argument.