A successive quadratic programming method that uses new corrections for search directions

In this paper, a successive quadratic programming method for solving general nonlinear programming problems is proposed and studied. In order to avoid the Maratos effect, we present new corrections for the search directions. Global convergence and local superlinear convergence results are proved, and some numerical results are reported.