Optimization, Python, Linear Optimization, Operations Research.
list((0,max(d.values())) for _ in range(cost2d.size)) PuLP import pulp x = pulp.LpVariable.dicts("amount of goods", ((i, j) for i in I for j in J), lowBound = 0, cat = 'Continuous') Pyomo model.x = pe.Var( model.d_cust_demand * model.M_fact_capacity, domain = pe.NonNegativeReals, bounds = (0,