Conference paper
Large-scale nonlinear optimization in circuit tuning
Andreas Wächter, Chandu Visweswariah, et al.
Future Generation Computer Systems
A new primal-dual algorithm is proposed for the minimization of non-convex objective functions subject to general inequality and linear equality constraints. The method uses a primal-dual trust-region model to ensure descent on a suitable merit function. Convergence is proved to second-order critical points from arbitrary starting points. Numerical results are presented for general quadratic programs.
Andreas Wächter, Chandu Visweswariah, et al.
Future Generation Computer Systems
Ingrid Bongartz, Paul H. Calamai, et al.
Mathematical Programming
Sonia Cafieri, Andrew R. Conn, et al.
OJMO
Pierre Bonami, Lorenz T. Biegler, et al.
Discrete Optimization