资讯

We analyze two popular semidefinite programming relaxations for quadratically constrained quadratic programs with matrix variables. These relaxations are based on vector lifting and on matrix lifting; ...
Semidefinite programming is a powerful method used to solve complex optimization problems — especially those involving uncertainty or safety — which are often too complicated for regular algorithms.