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In this paper, a new update criterion is proposed to improve the Nocedal-Overton update criterion for reduced Hessian successive quadratic programming (SQP). Global and R-linear convergence is proved for the new criterion and the Nocedal-Overton criterion using nonorthogonal basis matrices, which allow efficient implementations of the reduced Hessian SQP for solving large-scale equality constrained problems.
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