Description
Quadratic programming problems can be solved with an online active-set strategy. It is useful for control, robotics, optimization, and engineering workflows that repeatedly solve related QP problems.
QP solvers are sensitive to constraints, conditioning, and numerical tolerances. Confirm solver status and test edge cases before using results in control or automation systems.