SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
A robust sequential quadratic programming method
Mathematical Programming: Series A and B
A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications
An SQP method for general nonlinear programs using only equality constrained subproblems
Mathematical Programming: Series A and B
Minimization of SC1 functions and the Maratos effect
Operations Research Letters
Computational Optimization and Applications
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Modifying feasible SQP method for inequality constrained optimization
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
An improved infeasible SSLE method for constrained optimization without strict complementarity
Computers and Operations Research
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A new, infeasible QP-free algorithm for nonlinear constrained optimization problems is proposed. The algorithm is based on a continuously differentiable exact penalty function and on active-set strategy. After a finite number of iterations, the algorithm requires only the solution of two linear systems at each iteration. We prove that the algorithm is globally convergent toward the KKT points and that, if the second-order sufficiency condition and the strict complementarity condition hold, then the rate of convergence is superlinear or even quadratic. Moreover, we incorporate two automatic adjustment rules for the choice of the penalty parameter and make use of an approximated direction as derivative of the merit function so that only first-order derivatives of the objective and constraint functions are used.