Description
Solve linear and mixed-integer optimization problems from Python using CLP, CBC, and CGL. It helps operations research and engineering tools model decisions with constraints and integer choices.
This is a numerical optimization interface, not a graphical planning app. Solver output should be checked for feasibility, optimality status, and model assumptions before it drives real operational decisions.