Abstract

In this paper, we present a feasible trust region method for the solution of inequality constrained optimization problem. The global convergence is established under certain conditions. It is also shown that, under reasonable assumptions, the algorithm reduces to the famous Nocedal-Overton method [17] for equality constraints after finitely many iterations, allowing two-step superlinear rate of convergence for linear constraints.

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