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APPROXIMATE LAGRANGE MULTIPLIER ALGORITHM FOR STOCHASTIC PROGRAMS WITH COMPLETE RECOURSE:NONLINEAR DETERMINISTIC CONSTRAINTS
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作者 石晓法 王金德 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1992年第3期207-213,共7页
In this paper we design an approximation method for solving stochastic programs with com-plete recourse and nonlinear deterministic constraints. This method is obtained by combiningapproximation method and Lagrange mu... In this paper we design an approximation method for solving stochastic programs with com-plete recourse and nonlinear deterministic constraints. This method is obtained by combiningapproximation method and Lagrange multiplier algorithm of Bertsekas type. Thus this methodhas the advantages of both the two. 展开更多
关键词 APPROXIMATE LAGRANGE MULTIPLIER ALGORITHM FOR STOCHASTIC programS WITH COMPLETE RECOURSE
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