Cutting planes and column generation techniques with the projective algorithm
Journal of Optimization Theory and Applications
A cutting plane algorithm for convex programming that uses analytic centers
Mathematical Programming: Series A and B
A cutting plane method from analytic centers for stochastic programming
Mathematical Programming: Series A and B
On the Kalman-Yakubovich-Popov lemma
Systems & Control Letters
SIAM Review
Solving nonlinear multicommodity flow problems by the analytic center cutting plane method
Mathematical Programming: Series A and B - Special issue: interior point methods in theory and practice
Complexity analysis of the analytic center cutting plane method that uses multiple cuts
Mathematical Programming: Series A and B
Complexity Analysis of an Interior Cutting Plane Method for Convex Feasibility Problems
SIAM Journal on Optimization
Multiple Cuts in the Analytic Center Cutting Plane Method
SIAM Journal on Optimization
Efficient computational methods for robustness analysis
Efficient computational methods for robustness analysis
A cutting plane method for solving KYP-SDPs
Automatica (Journal of IFAC)
Hi-index | 22.15 |
The conventional way to treat integral quadratic constraint (IQC) problems is to transform them into semi-definite programs (SDPs). SDPs can then be solved using interior point methods which have been proven efficient. This approach, however, is not always the most efficient since it introduces additional decision variables to the SDP, and the additional decision variables sometimes largely increase the complexity of the problem. In this paper, we demonstrate how to solve IQC problems by other alternatives. More specifically, we consider two cutting plane algorithms. We will show that in certain cases these cutting plane algorithms can solve IQC problems much faster than the conventional approach. Numerical examples, as well as some explanations from the point of view of computational complexity, are provided to support our point.