Feasible generalized monotone line search SQP algorithm for nonlinear minimax problems with inequality constraints
Copyright policy )Feasible generalized monotone line search SQP algorithm for nonlinear minimax problems with inequality constraints
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- Guangxi University China (People's Republic of)
Minimax problems, Applied Mathematics, generalized monotone line search, Global convergence, Minimax problems in mathematical programming, global convergence, Inequality constraints, Computational Mathematics, Generalized monotone line search, Numerical mathematical programming methods, Nonlinear programming, Superlinear convergence, inequality constraints, superlinear convergence, feasible sqp algorithm, minimax problems, Feasible SQP algorithm
Minimax problems, Applied Mathematics, generalized monotone line search, Global convergence, Minimax problems in mathematical programming, global convergence, Inequality constraints, Computational Mathematics, Generalized monotone line search, Numerical mathematical programming methods, Nonlinear programming, Superlinear convergence, inequality constraints, superlinear convergence, feasible sqp algorithm, minimax problems, Feasible SQP algorithm
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