Quadratic programming has a variety of applications, such as resource planning, portfolio optimization, and structural analysis. Download this technical whitepaper on the sparse convex quadratic ...

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; ...

An operations research technique that solves problems in which an optimal value is sought subject to specified constraints. Mathematical programming models include linear programming, quadratic ...

Xin-wei Liu, Ya-xiang Yuan, A ROBUST TRUST REGION ALGORITHM FOR SOLVING GENERAL NONLINEAR PROGRAMMING, Journal of Computational Mathematics, Vol. 19, No. 3 (May 2001), pp. 309-322. ... which solves an ...