A nonmonotone line search technique for Newton's method
SIAM Journal on Numerical Analysis
Avoiding the Maratos effect by means of a nonmonotone line search I. general constrained problems
SIAM Journal on Numerical Analysis
SIAM Journal on Numerical Analysis
A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm
SIAM Journal on Optimization
SIAM Journal on Optimization
On the Sequential Quadratically Constrained Quadratic Programming Methods
Mathematics of Operations Research
A Feasible Trust-Region Sequential Quadratic Programming Algorithm
SIAM Journal on Optimization
Computational Optimization and Applications
A working set SQCQP algorithm with simple nonmonotone penalty parameters
Journal of Computational and Applied Mathematics
Hyperdisk based large margin classifier
Pattern Recognition
Journal of Computational and Applied Mathematics
Hi-index | 7.29 |
Based on an augmented Lagrangian line search function, a sequential quadratically constrained quadratic programming method is proposed for solving nonlinearly constrained optimization problems. Compared to quadratic programming solved in the traditional SQP methods, a convex quadratically constrained quadratic programming is solved here to obtain a search direction, and the Maratos effect does not occur without any other corrections. The ''active set'' strategy used in this subproblem can avoid recalculating the unnecessary gradients and (approximate) Hessian matrices of the constraints. Under certain assumptions, the proposed method is proved to be globally, superlinearly, and quadratically convergent. As an extension, general problems with inequality and equality constraints as well as nonmonotone line search are also considered.