Xiang‐Sun Zhang
Abstract
In this paper, we use the smoothing penalty function proposed in [1] as the merit function of SQP method for nonlinear optimization with inequality constraints. The global convergence of the method is obtained.
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In this paper, we use the smoothing penalty function proposed in [1] as the merit function of SQP method for nonlinear optimization with inequality constraints. The global convergence of the method is obtained.
Key concepts: Sequential quadratic programming, Penalty method, Smoothing, Mathematical optimization, Nonlinear programming, Convergence (economics), Mathematics, Constraint (computer-aided design)