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出 版 物:《JOURNAL OF THE SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS》
年 卷 期:1961年第9卷第3期
页 面:481-488页
核心收录:
主 题:Nonlinear programming Linear programming Geometric planes Algorithms Mathematical procedures Perceptron convergence procedure
摘 要:The “cutting plane method of Kelley for nonlinear programming problems applies linear programming, through a sequence of local linearizations, to the problem of minimizing a convex function of real variables subject to linear inequality constraints. A procedure is presented here for improving the constructed linearizations which may considerably accelerate the convergence of the process. In the case of a quadratic objective function satisfying certain mild conditions this improvement yields a finite algorithm.