A successive quadratic programming decomposition method for large-scale nonlinear programming problems

A successive quadratic programming decomposition method for large-scale nonlinear programming problems

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Article ID: iaor19941948
Country: Japan
Volume: 4
Issue: 11
Start Page Number: 473
End Page Number: 480
Publication Date: Nov 1991
Journal: Transactions of the Institute of Electronics, Information and Communication Engineers
Authors: , ,
Keywords: optimization, programming: mathematical
Abstract:

Large-scale nonlinear programming problems usually contain a relatively small number of nonlinear variables. For such a problem, it is often effective to treat the linear part as a linear programming problem by temporarily fixing the nonlinear variables. As a result, the authors obtain a nonsmooth optimization problem containing the nonlinear variables only. Based on this idea, they propose a successive quadratic programming algorithm for large-scale nonlinear programming problems. The authors show convergence of the algorithm and report some computational experience. [In Japanese.]

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