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Sequential convex programming in theory and praxis

Abstract

In this paper, convex approximation methods, suclt as CONLIN, the method of moving asymptotes (MMA) and a stabilized version of MMA (Sequential Convex Programming), are discussed with respect to their convergence behaviour. In an extensive numerical study they are :finally compared with other well-known optimization methods at 72 examples of sizing problems

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oai:opus.bibliothek.uni-wuerzburg.de:3050Last time updated on 5/17/2016View original full text link

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