Operations Research, Optimization, Algorithms, Programming, Hands On Tutorials.
< -1e-4: print(f"Iteration: {_}; Reduced cost: {(1 + price_sol.fun):.3f}") A = np.hstack((A, y.reshape((-1, 1)))) c = np.append(c, 1) sol = linprog(c, A_ub=-A, b_ub=-d, bounds=(0, None)) else: break In the end, let us try both rounding up the solution of the linear relaxation and obtaining the