A strongly convergent norm-relaxed method of strongly sub-feasible direction for optimization with nonlinear equality and inequality constraints

Author:

Jian Jin-Bao,Xu Qing-Juan,Han Dao-Lan

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference33 articles.

1. Inequality-constrained stationary-value problems;Camp;Oper. Res.,1955

2. Application of the steepest descent method to concave programming;Pietrgykowski,1962

3. A globally convergent method for programming;Han;J. Optimiz. Theory Appl.,1977

4. A fast algorithm for nonlinearly constrained optimization calculations;Powell,1978

5. The watchdog techniques for forcing convergence in algorithms for constrained optimization;Chamberlain;Math. Programm. Study,1982

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