Python, Cvxpy, Optimization.
problem.solve() # Output the results print(f"Optimal value: {problem.value}") print(f"Optimal variable value: x = {x.value}") Why Use CVXPY? Strengths: Convex Optimization: Specializes in convex optimization, guaranteeing global optima for convex problems. Rich Syntax: Allows for expressive problem