Description
Solves quadratic programming problems from Python using OSQP. It helps optimization workflows in control, robotics, finance, operations research, and scientific modeling where constraints and quadratic objectives matter.
Solver results depend on the model, scaling, constraints, and tolerances. Validate formulations before using outputs for real decisions or control systems.