摘要
本文从反问题的角度讨论了修订直接消耗系数的几种优化方法.通过引入“投入产出反问题”的概念,建立了拉格朗日优化、二次规划、熵优化等三个优化模型,同时给出了算法和算例,并且比较了各种方法的计算结果.
In this paper, optimization methods of updating input-output coefficients matrix are considered from an inverse problem perspective. A concept of inverse problem for input-output analysis is introduced. Three optimization methods of inverse problem for input-output analysis are employed: Lagrangian technique, quadratic programming, and entropy optimization method. The algorithmic and computational performances are compared.
出处
《运筹学学报》
CSCD
北大核心
2002年第2期1-8,共8页
Operations Research Transactions
基金
Supported by the National Natural Science Foundation of China (No. 10071010).
关键词
投入产出模型
最优化
反问题
直接消耗系数
算法
input-output analysis
optimization
inverse problem
input-output coef-ficients.