A distributed continuous-time method for non-convex QCQPs
A distributed continuous-time method for non-convex QCQPs is a scholarly work, published in 2018 in ''Systems & Control Letters''. The main subjects of the publication include point, Karush–Kuhn–Tucker conditions, multi-agent system, quadratic programming, convex optimization, mathematical optimization, Quadratic growth, model predictive control, mountain saddle, regular polygon, saddle point, applied mathematics, mathematics, quadratically constrained quadratic program, and quadratic equation. The authors first develop an easily checkable necessary and sufficient condition that characterizes whether a KKT point will also be a saddle-point (the pair of primal and dual optima) for a non-convex QCQP.