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2009•Ludong University JournalRequires access

A SQP Method Based on A Modified Penalty Function for Nonlinear Inequality Constrained Optimization Problem

Wei Liu

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Abstract

By applying a smoothing penalty function to the merit function,a new SQP method for nonlinear inequality-constrained optimization problem is presented,and its global convergence under suitable conditions is also testified.

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What this paper is about

By applying a smoothing penalty function to the merit function,a new SQP method for nonlinear inequality-constrained optimization problem is presented,and its global convergence under suitable conditions is also testified.

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Available abstract

By applying a smoothing penalty function to the merit function,a new SQP method for nonlinear inequality-constrained optimization problem is presented,and its global convergence under suitable conditions is also testified.

Key concepts: Sequential quadratic programming, Penalty method, Mathematical optimization, Nonlinear programming, Nonlinear system, Constrained optimization, Mathematics, Function (biology)

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