Feasible generalized monotone line search SQP algorithm for nonlinear minimax problems with inequality constraints

Author:

Jian Jin-bao,Quan Ran,Zhang Xue-lu

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference21 articles.

1. Norm-relaxed method of feasible direction for solving the nonlinear programming problems;Cawood;J. Optim. Theory Appl.,1994

2. A generalization of the norm-relaxed method of feasible directions;Chen;Appl. Math. Comput.,1999

3. Sequential systems of linear equations algorithm for nonlinear optimization problem-inequality constrained problems;Gao;J. Comput. Math.,2002

4. A nonmonotone line search technique for Newton's method;Grippo;SIAM J. Numer. Anal.,1986

5. S.P. Han, Superlinear convergence of a minimax method, Report TR-78-336, Department of computer science, Cornell University, Ithaca, New York, 1978.

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