Python, Cvxpy, Optimization.
Sigma) <= 0.05, # Risk tolerance w >= 0 # No short selling ] # Form and solve the problem problem = cp.Problem(objective, constraints) problem.solve() # Output the results print(f"Optimal portfolio return: {problem.value}") print(f"Optimal weights: {w.value}") 2. Supply Chain Optimization in